WO2025199203A1 - Compositions and methods for treating tp53-mutated myeloid neoplasms - Google Patents

Compositions and methods for treating tp53-mutated myeloid neoplasms

Info

Publication number
WO2025199203A1
WO2025199203A1 PCT/US2025/020519 US2025020519W WO2025199203A1 WO 2025199203 A1 WO2025199203 A1 WO 2025199203A1 US 2025020519 W US2025020519 W US 2025020519W WO 2025199203 A1 WO2025199203 A1 WO 2025199203A1
Authority
WO
WIPO (PCT)
Prior art keywords
mut
subject
ttki
doi
aml
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/US2025/020519
Other languages
French (fr)
Inventor
Mithun V. SHAH
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mayo Foundation for Medical Education and Research
Mayo Clinic in Florida
Original Assignee
Mayo Foundation for Medical Education and Research
Mayo Clinic in Florida
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mayo Foundation for Medical Education and Research, Mayo Clinic in Florida filed Critical Mayo Foundation for Medical Education and Research
Publication of WO2025199203A1 publication Critical patent/WO2025199203A1/en
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61KPREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
    • A61K45/00Medicinal preparations containing active ingredients not provided for in groups A61K31/00 - A61K41/00
    • A61K45/06Mixtures of active ingredients without chemical characterisation, e.g. antiphlogistics and cardiaca
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61KPREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
    • A61K31/00Medicinal preparations containing organic active ingredients
    • A61K31/33Heterocyclic compounds
    • A61K31/395Heterocyclic compounds having nitrogen as a ring hetero atom, e.g. guanethidine or rifamycins
    • A61K31/495Heterocyclic compounds having nitrogen as a ring hetero atom, e.g. guanethidine or rifamycins having six-membered rings with two or more nitrogen atoms as the only ring heteroatoms, e.g. piperazine or tetrazines
    • A61K31/505Pyrimidines; Hydrogenated pyrimidines, e.g. trimethoprim
    • A61K31/519Pyrimidines; Hydrogenated pyrimidines, e.g. trimethoprim ortho- or peri-condensed with heterocyclic rings
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61KPREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
    • A61K31/00Medicinal preparations containing organic active ingredients
    • A61K31/63Compounds containing para-N-benzenesulfonyl-N-groups, e.g. sulfanilamide, p-nitrobenzenesulfonyl hydrazide
    • A61K31/635Compounds containing para-N-benzenesulfonyl-N-groups, e.g. sulfanilamide, p-nitrobenzenesulfonyl hydrazide having a heterocyclic ring, e.g. sulfadiazine
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61PSPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
    • A61P35/00Antineoplastic agents
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61PSPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
    • A61P35/00Antineoplastic agents
    • A61P35/02Antineoplastic agents specific for leukemia
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6883Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
    • C12Q1/6886Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/106Pharmacogenomics, i.e. genetic variability in individual responses to drugs and drug metabolism
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/156Polymorphic or mutational markers

Definitions

  • TP53 mut MN represent 10-12% of all and 35-40% of therapy-related myeloid neoplasms (t-MN).
  • MDS myelodysplastic syndrome
  • AML acute myeloid leukemia
  • TP53 mut MN remain extremely poor.
  • HMA hypomethylating agents
  • intensive chemotherapy led to little improvement in survival. While selective targeting of BCL-2 with the BH3-mimetic venetoclax has been revolutionary for AML, it was not associated with meaningful survival in TP53 mut MN.
  • TP53 mut AML is more common in elderly (>60 years) population and its incidence increases from 4%, 16%, 19%, 17%, to 50% in those age ⁇ 60, 61 -70, 71 -80, 81 -90, and >90, respectively.
  • 24 With overall success of cancer-directed therapies, long-term complications of DNA-damaging therapies, including the development of TPSS ⁇ t-MN have come into focus.
  • 25 it was hoped that the use of novel, non-cytotoxic approaches would result in decline in the incidence of t-MN and TPSSP ⁇ MN.
  • PARPi poly-(ADP-ribose) polymerase inhibitors
  • TP53 mut clone that evolves to MN can usually be identified years before the MN diagnosis. 36-40 On the other hand, whether TP53 mut clone imparts increased risk of a subsequent MN is a matter of active debate 9 41 and emergence, disappearance, stability, and leukemic progression of the TP53 mut clone over time has been observed. 12 ’ 32 ’ 39 42-44 Median time from cytotoxic exposure to the development of TP53 mut MN is >5 years.
  • Genomic instability manifesting as complex karyotype (CK), is relatively uncommon in MN (10-12%) but is highly prevalent in TP53 mut MN (70-80%). 2 ’ 51 Enrichment of TP53 mut increases with increasing clonal complexity: from ⁇ 5% in cases with diploid cytogenetics to >95% in those with >7 karyotypic abnormalities. 4 Even within the high risk TP53 mut MN, patients with CK have shorter survival. 2 4 On the other end of the spectrum — in CH and CCUS — cytogenetic abnormalities portends higher risk of MN progression and death. 9 ’ 52 53
  • TP53-deficient state facilitates two complementary processes — dysfunction of the spindle assembly checkpoint (SAC) predisposing to genomic instability, and survival of these aneuploid cells. 17 54 Consequently, alterations of the SAC components are frequently observed in cancer. 15 55 Since the SAC functions downstream to TP53, it is thought that SAC inhibition (SACi) can exert anti-cancer activity 56 and resensitize to the conventional chemotherapies even in TP53-deficient cells.
  • SAC spindle assembly checkpoint
  • Threonine tyrosine kinase is the central component of the SAC that ‘senses’ the lack of end-on attached microtubules to kinetochores, rapidly localizing other SAC components to the unattached kinetochores, and assisting the assembly of the mitotic checkpoint complex (MCC), ultimately preventing the progression to mitosis.
  • TTK Threonine tyrosine kinase
  • MCC mitotic checkpoint complex
  • TTK inhibition allows aneuploid cells to continue to divide, resulting in progressive genomic instability that jeopardizes their survival.
  • TTK inhibition allows aneuploid cells to continue to divide, resulting in progressive genomic instability that jeopardizes their survival.
  • targeting TTK in aneuploid TP53-deficient cells represent synthetic lethality. 13 ’ 15
  • the present disclosure provides materials and methods for assessing and/or treating patients with leukemia.
  • the disclosure provides a method of treating a subject diagnosed with TP53 mut myeloid neoplasms (TP53 mut MN), said method comprising administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
  • TTKi threonine tyrosine kinase inhibitor
  • a method comprising treating TP53 mut MN in a subject, said method comprising the steps of (a) diagnosing the subject with TP53 mut MN, and (b) administering a TTKi to the subject.
  • the present disclosure provides a method of increasing genomic stability in a subject, said method comprising the steps of (a) diagnosing the subject with TP53 mut MN, and (b) administering a TTKi to the subject.
  • Figure 1 B shows that isolated abnormalities of chromosome 5 are associated with lower variance allele frequency (VAF) of TP53 mut compared to those with additional abnormalities.
  • Figure 1 C shows that isolated abnormalities of chromosome 7 are also associated with lower variance allele frequency (VAF) of TP53 mut compared to those with additional abnormalities.
  • Figure 1 D shows that increasing clonal complexity is associated with higher TP53 mut VAF.
  • Iso isolated; Del — deletion; CK — complex karyotype; Non-rec. — non-recurrent.
  • Figure 2 describes overexpression of TTK mRNA in a wide variety of MN, including high-risk MN.
  • Figure 2A shows that TTK was overexpressed in BBMC of MDS compared to healthy controls.
  • Figure 2B shows that TKK was overexpressed in TP53 mut AML BMMC compared to TP53 wt AML.
  • Figures 2C and D show that among AML cases, TTK overexpression was associated with increasing clonal complexity.
  • Figure 2E shows that TKK was overexpressed in recurrent compared to primary AML.
  • Figure 2F shows that TTK was overexpressed in TP53 mut myeloid cell lines compared to TP53 wt cell lines.
  • Mean ⁇ SEM shown.
  • FIG. 3 demonstrates that addition of TKK inhibitor (TTKi) CFI-402257 at the GI25 dose resensitizes venetoclax-resistant U937 cells to venetoclax as measured by cell proliferation (Figure 3A) and induction of apoptosis ( Figure 3B).
  • TKK inhibitor TKKi
  • Figure 3B the experiments performed in triplicate, mean ⁇ SEM shown. ****P ⁇ 0.001. Ven - venetoclax.
  • Disclosed herein are methods to effectively prevent and treat a highly aggressive leukemia that is expected to incur substantial morbidity and mortality in the near future.
  • the materials and methods provided herein can be used to diagnose a subject with a highly aggressive subset of leukemia, and treat the subject informed by their leukemia subset.
  • Also disclosed herein is a strategy to diagnose an aggressive subset of leukemia at preneoplastic stages, or to diagnose an aggressive subset of leukemia at the myeloid neoplasm stage prior to progression to AML.
  • the disclosed method of treating TP53 mut MN in a subject comprises: (a) diagnosing the subject with TP53 mut MN; and (b) administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
  • TTKi threonine tyrosine kinase inhibitor
  • Leukemia is the clonal proliferation of hematopoietic stem cells in the bone marrow. Leukemia is a common malignancy in children and adults that occurs when alterations in normal cell regulatory processes cause uncontrolled proliferation of hematopoietic stem cells in the bone marrow. Approximately one in 70 individuals develop leukemia in their lifetime.
  • the invention generally provides methods of treatment of cancers of myeloid or lymphoid systems, including leukemias, lymphomas, and other cancers that typically are not present as a tumor mass, but are distributed in the vascular or lymphoreticular systems.
  • the method comprises treating a subject diagnosed with TP53 mut myeloid neoplasm (TP53 mut MN), said method comprising administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
  • TTKi threonine tyrosine kinase inhibitor
  • the long-term goal of the methods provided herein is to improve outcomes of TP53 mut MN.
  • Proinflammatory cytokines secreted by the BM-MSC lead to the expansion of the preexisting TP53 mut clone via paracrine mechanisms.
  • loss of TP53 function may lead to TTK overexpression that in turn facilitates acquisition of aneuploidy and leukemic transformation. Inhibition of TTK results in robust antileukemic activity, both as a single agent or in combination with BCL-2 inhibitor venetoclax, representing a strategy to prevent and treat TP53 mut MN.
  • ALL acute lymphoblastic leukemia
  • AML acute myeloid leukemia
  • CLL chronic lymphocytic leukemia
  • CML chronic myleloid leukemia
  • ALL is a B-cell precursor (BCP) lineage (BCP-ALL) cancer or, less commonly, T- cell precursor lineage (T-ALL). Both comprise multiple subtypes commonly defined by structural chromosomal alterations that are initiating lesions, with secondary somatic (tumor- acquired) DNA copy number alterations and sequence mutations that contribute to leukemogenesis. Chromosomal alterations include aneuploidy and chromosomal rearrangements that result in oncogene deregulation or expression of chimeric fusion genes. KMT2A (MLL) rearrangements, particularly the t(4;11 )(q21 ;q23) translocation, are most frequent in infants ( ⁇ 1 year of age) and are associated with poor outcome.
  • BCP B-cell precursor
  • T-ALL T- cell precursor lineage
  • High hyperdiploidy with gain of at least five chromosomes and ETV6-RUNX1 are each present in 25% to 30% of patients with childhood ALL but occur in less than 3% of young adults and are associated with favorable outcome.
  • BCR-ABL1 Philadelphia [Ph] chromosome
  • TKIs tyrosine kinase inhibitors
  • BCP-ALL Secondary DNA deletions, gains, and mutations are characteristic of BCP-ALL, are important cooperating lesions in leukemogenesis, and may be acquired or enriched during disease progression. These include alterations of lymphoid transcription factors (IKZF1, PAX5, EBF1), cell-cycle regulation and tumor suppression (CDKN2A/CDKN2B, RB1), regulation of apoptosis, transcriptional regulation and coactivation ETV 6, ERG), and epigenetic alterations (lacobucci, J Clin Oncol, 35(9): 975-983, 2017).
  • AML is characterized by clonal expansion of immature blast cells in the peripheral blood and bone marrow, resulting in effective erythropoiesis and bone marrow failure.
  • Early stages of pre-AML disease includes a condition referred to as clonal cytopenia of undetermined significance (CCUS), which can then progress to myeloid neoplasms (MN), which can further progress into AML.
  • CCUS clonal cytopenia of undetermined significance
  • MN myeloid neoplasms
  • AML is a highly heterogeneous disease with a variable prognosis. It can result from genetic mutations, chromosomal translocations, or changes in molecular levels. About 97% of the embodiments have been studied to have genetic mutations.
  • cytogenetics Despite its heterogeneity, it can be categorized into favorable, intermediate, or adverse-risk groups based on cytogenetics. The prognosis within these categories varies widely.
  • the chromosomal translocations t (8;21 ), t (15;17), or inv (16) have a favorable prognosis with 3-year overall survival (OS) rate of about 66% and 33% in patients younger than 60 and older than 60 years of age respectively.
  • OS overall survival
  • People with t (9;11), monosomy 5 or 7, and normal cytogenetics (CN-AML) have an intermediate risk. A high risk of treatment failure and death was noted in people with t (6;9), inv (3). or 11q changes.
  • NPM1 mutations are associated with chemosensitivity in both young and old patients, as well as other genetic abnormalities including FLT3-ITD, FLT3-TKD, and IDH mutations.
  • FLT3 ' ⁇ s strongly expressed in hematopoietic stem cells, with important roles in cell survival and proliferation.
  • RUNX1 is an essential component of hematopoiesis; it is located on chromosome 21 and is frequently translocated with the ETO gene located on chromosome 8q22, creating an AML -ETO or t(8;21 )(q22;q22) AML which is seen in about 12% of AML cases. They are commonly associated with trisomy 13, trisomy 21 and show resistance to standard induction therapy (Vakiti et al., Acute Myeloid Leukemia, StatPearls, 2023).
  • CLL is characterized by the clonal proliferation and accumulation of mature, typically CD5-positive B-cells within the blood, bone marrow, lymph nodes, and spleen.
  • the capacity to generate clonal B cells seems to be acquired at the hematopoietic stem cell (HSC) stage, suggesting that the primary leukemogenic event in CLL might involve multipotent, self-renewing HSCs (Hallek et al., Am J Hematol, 96: 1679-1705, 2021).
  • chromosome 13q14.3 a deletion in chromosome 13q14.3 (del[13q]), del(11q), del(17p), or trisomy 12.8
  • Del(13q) is the most common chromosomal alteration occurring in approx. 55% of all cases.
  • An isolated del(13q14) is characterized by a benign course of the disease.
  • the miRNAs miR-15a and 16-1 are located in the critical region of del(13q14)9 and regulate the expression of proteins that can inhibit apoptosis or that are involved in cell cycle progression.
  • Deletions of the short arm of chromosome 17 are found in 5%-8% of chemotherapy-naive patients. These deletions almost always include band 17p13, where the prominent tumor suppressor gene TP53 is located. Patients with CLL carrying a del(17p) clone show marked resistance against genotoxic chemotherapies. Mutations of TP53 are found in 4%-37% of patients with CLL, and have been associated with very poor prognosis in a number of studies (Zenz et al., Leukemia, 24: 2072-2079, 2010). Among cases with confirmed del(17p), the majority shows mutations in the remaining TP53 allele (>80%).
  • TP53 mutations are much rarer, but have a similarly detrimental effect on chemotherapy response and overall survival (OS).
  • Deletions of the long arm of chromosome 11 (del(11q)) can be found in approx. 25% of chemotherapy-naive patients with advanced disease stages and 10% of patients with early-stage disease. These deletions frequently encompass band 11q23 harboring the gene ATM, which encodes for the proximal DNA damage response kinase ATM.
  • patients carrying a del(11q) clone typically show a bulky lymphadenopathy, rapid progression, and reduced OS.16 Interestingly, some of the poor prognostic features of del(11q) were overcome by the use of chemoimmunotherapy.
  • 11 Trisomy 12 is observed in 10%-20% of patients with CLL and is associated with an intermediate prognosis. The genes involved in the pathogenesis of CLL carrying a trisomy 12 are largely unknown.
  • CML is a myeloproliferative neoplasm caused by a reciprocal translocation [t(9;22)(q34;q 11 .2)] that leads to the fusion of ABL1 gene sequences (9q34) downstream of BCR gene sequences (22q11) and is cytogenetically visible as Philadelphia chromosome (Ph).
  • BCR is a ubiquitously expressed cytoplasmic protein with multiple functionalities.
  • ABL1 is also ubiquitously expressed and has several functions, including inhibition of cell cycle progression and proliferation, integrin signaling, and DNA repair.
  • BCR/ABL1 While ABL1 kinase activity is tightly controlled in physiological conditions, the chimeric BCR/ABL1 protein is a constitutively active tyrosine kinase that re-localizes to the cytoplasm. BCR/ABL1 activates numerous downstream pathways leading to increased proliferation, reduced apoptosis, abnormal adhesion and migration, and genetic instability. These activated signaling pathways collectively lead to malignant transformation. During the early (chronic) phase of CML (CP-CML), the myeloid cell compartment is expanded, but differentiation is maintained.
  • CP-CML early (chronic) phase of CML
  • CP-CML invariably progresses to blast phase (BP-CML), an acute leukemia of myeloid or lymphoid phenotype (Osman et al., Blood Rev, 49: 100825, 2021).
  • Acute Leukemias and other blood cell malignancies include acute lymphoblastic, acute myeloid, acute lymphocytic, acute myelogenous leukemia, chronic myelogenous, hairy cell, erythroleukemia, lymphoblastic, myeloid, lymphocytic, myelogenous, leukemia, hairy cell, T-cell, monocytic, myeloblastic, granulocytic, gross, hand mirror-cell, basophilic, hemoblastic, histiocytic, leukopenic, lymphatic, Schilling's, stem cell, myelomonocytic, monocytic, prolymphocytic, promyelocytic, micromyelobl
  • Described herein is a method of preventing progression of TP53 mut CCUS to TP53 mut MN in a subject, said method comprising administering a TTKi to the subject.
  • Preventing the progression of TP53 mut CCUS to TP53 mut MN is an atypical strategy, as the current status quo upon a CCUS diagnosis is non-intervention until the development of TP53 mut MN; at which point, no effective options are available.
  • Virtually all TP53 mut MN patients have profound cytopenia, which is a major driver for morbidity and mortality.
  • the paradigm of exploiting SAC dysfunction as a synthetic lethality as well as the strategy of long term and sustained TTK inhibition (TTKi) minimizing the adverse impact on normal hematopoiesis is particularly enticing.
  • CCUS Clonal cytopenia of undetermined significance
  • CCUS Clonal cytopenia of undetermined significance
  • CCUS can progress to MN once dysplasia, excess blasts, or MN-defining genetic lesions occur. Contrary to the prevalent perception, only 14% of TP53 mut CCUS progressed to MN, whereas the clone persisted without leukemic transformation in the remaining — raising the opportunity to diagnose or intervene early.
  • existing biomarkers cannot distinguish between the progressive and non-progressive TP53 mut CCUS. Therefore, devising strategies aimed at early identification and developing effective therapies are urgent unmet needs.
  • AML As discussed above, progression to AML is defined by the clonal expansion of immature “blast cells” in the peripheral blood and bone marrow, resulting in ineffective erythropoiesis and bone marrow failure. Although the blast threshold of 20% defining AML remains, several additional genetic lesions are now considered to be defining of AML for myeloid neoplasms with >10% BM or blood blasts, which include ASXL1, BCOR, EZH2, RUNX1, SF3B1, SRSF2, STAG2, U2AF1, or ZRSR2.
  • DBD mutations are predominantly missense (-80%, as discussed above), including six “hotspot” codons (R175, R213, G245, R248, R273, and R282), which account for -25% of all TP53 mutations. Additional missense mutations include H179 and Y220 (Shah et al., Blood Cancer Journal, 13: 51 , 2023). In contrast, mutations that occur outside of the DBD are more likely to be nonsense or truncating mutations (-67%) than missense mutations (see Hainaut et al., Cold Spring Harb Perspect Med, 6(1 1 ): a026179, 2016).
  • Loss of function (LOF) mutations in TP53 decrease expression of pro-apoptotic genes such as NOXA or PUMA, which are known transcriptional targets of TP53 (Aubrey et al., Cell Death Differ, 25: 104-1 13, 2018), and to a lesser degree increase the functional activation of the pro-apoptotic BAX and BAK proteins (Thijssen et al., Blood, 137: 2721 -2735, 2018).
  • the E180R mutant activates PUMA to sensitize an NRas G12D ;AML 1/ETO9a AML mouse model to chemotherapy (Klimovich et al., Oncogene, 41 : 1011 -1023, 2022).
  • TP53 mutants V173M, I195S, R248Q, R273H, and insG282 represent a loss of TP53 wild type function, impacting the DNA damage response by repressing the transcriptional program in Ep-Myc lymphoma cell lines (Aubrey et al., Genes Dev, 32: 1420-1429, 2018).
  • Genomic instability is one of the strongest predictors of inferior survival in both MDS and AML.
  • Genomic instability manifesting as complex karyotype (CK), is relatively uncommon in MN (10-12%) but is highly prevalent in TP53 mut MN (70-80%).
  • Genomic instability in AML is an important prognostic factor and is used for risk-stratification, with CK being associated with poor prognosis.
  • TP53 mutations are highly present (60%) in AML patients with CK (Stengel et al., Leukemia, 31 : 705-71 1 , 2017).
  • TP53 A key gene for maintenance of diploid karyotype in normal cells is TP53.
  • TP53 wt has a role in suppressing genomic instability by inducing apoptosis in cells that exhibit a long pause at the mitotic checkpoint, which is indicative of DNA damage (Dalton et al., Oncogene, 29: 1929-1940, 2010).
  • Mutation in TP53 arises before or after the first aneuploidy event, and these alterations may result in continued proliferation of aneuploidy cells or can trigger apoptosis (Fukasawa et al., Oncogene, 15: 1295-1302, 1997). These mutations are considered an early leukemogenic event in preleukemic stem cells.
  • TP53 mut increases with increasing clonal complexity: from ⁇ 5% in cases with diploid cytogenetics to >95% in those with >7 karyotypic abnormalities. Even within the high risk TP53 mut MN, patients with CK have shorter survival. During progression from MN to AML, TP53 mut clones often become bi-allelically mutated and genomically unstable, which is reflected by the strong association between bi-allelic TP53 mut and CK (Grob et al., Blood, 139(15): 2347- 2354, 2022).
  • TP53-deficient state facilitates two complementary processes — dysfunction of the spindle assembly checkpoint (SAC) predisposing to genomic instability, and survival of these aneuploid cells. Consequently, alterations of the SAC components are frequently observed in cancer. For example, the most common chromosomal abnormality found in AML, t(8;21)(q22;q22), results in a fusion protein that impairs the spindle checkpoint and promotes aneuploidy (Boyapati, Blood, 109: 3963-3971 , 2003).
  • SAC spindle assembly checkpoint
  • the method comprises reducing dysfunction of the spindle assembly checkpoint (SAC) in a subject, said method comprising administering a TTKi to the subject.
  • Threonine tyrosine kinase is a dual-specificity kinase that is critical for the recruitment of SAC proteins to unattached kinetochores, mitotic checkpoint complex (MCC) formation, and thus APC/C inhibition. TKK activation ultimately prevents cell cycle progression to mitosis. TTK is also required for chromosome alignment and error correction.
  • TTK inhibition allows aneuploid cells to continue to divide, resulting in progressive genomic instability that jeopardizes their survival.
  • TTK inhibition allows aneuploid cells to continue to divide, resulting in progressive genomic instability that jeopardizes their survival.
  • the method comprises decreasing survival of aneuploidy cells in a subject, said method comprising administering a TTKi to the subject.
  • genomic instability is defined as the increasing rate at which cells acquire new chromosomal alterations
  • aneuploidy is associated with the abnormal number of chromosomes in the karyotype at a specific point in time.
  • Genomic instability which manifests as a constant change in karyotype, is a hallmark of tumor malignancy and is thought to be one of the main causes of aneuploidy, the stable state of an imbalanced chromosome number (Torres et al., Cell, 143: 71-83, 2010).
  • genomic instability has both been correlated with poor patient outcomes in multiple cancer types.
  • the selective advantage of genomic instability to cancer growth is thought to derive from intra-tumor heterogeneity, facilitating the selection of chemotherapy resistant clones (Lee et al., Cancer Res, 71 : 1858-1870, 2011 ).
  • an abnormal chromosome count may deregulate cancer pathways or confer therapeutic resistance by duplication or loss of specific genes (Davoli et al., Cell, 155: 948- 962, 2013).
  • the method disclosed herein comprises administering a TTKi to a subject, wherein the subject has a complex karyotype.
  • the subject has a complex karyotype comprising 3, 4, 5, 6, 7, 8, 9, 10, or more chromosomal abnormalities.
  • the chromosomal abnormality is selected from the group consisting of a deletion, duplication, inversion, or translocation mutation.
  • TTK inhibitors serve to inhibit the SAC.
  • TTK inhibitors have demonstrated efficacy in reducing xenograft growth in a variety of tumors in mice (Jemaa et al., Cell Death Differ, 20: 1532-1545, 2013; Kusakabe et al., J Med Chem, 58: 1760-1775, 2015), and can increase the efficacy of taxane chemotherapy in patient-derived xenograft mouse models (Wengner et al., Mol Cancer Ther, 15: 583-592, 2016). Definition of the patient population most likely to respond to a particular therapeutic is critical for the success of targeted therapies.
  • TTK inhibition has been recognized as challenging for several reasons (Libouban et al., Oncotarget, 8(24): 38309-38325, 2017); (1) mutations in TTK are not detected at high frequencies in human cancers, and there is no relationship between mutated or activated TTK and malignancy status, (2) TTK is highly expressed in several cancer types, but the relationship between TTK expression and disease severity is complex and contradictive.
  • TTK expression correlates with poor prognosis in hepatocellular carcinoma and HER2-positive breast cancer (Liu et al., Oncotarget, 6: 34309-34320, 2015), while low TTK expression correlates with poor patient outcomes in triple-negative breast cancer (Marie et al., PLoS One, 8: e63712, 2013).
  • Disclosed herein is a methodology that identifies a specific patient population that would benefit from treatment with TTKi; patients diagnosed with TP53 mut MN and TP53 mut CCUS.
  • the chromosomal abnormality can comprise chromosome 5 abnormalities, chromosome 7 abnormalities, or alterations in both chromosome 5 and 7.
  • the abnormalities are selected from deletion of chromosome 5q or 7q. Deletions or losses in chromosomes 5 or 7 are recurrent nonrandom abnormalities in AML and MN, and are associated with prior exposure to carcinogens or leukemogenic agents, with poor prognosis (Dabaja et al., Leukemia, 13: 869-872, 1999).
  • chromosome 5 and 7 abnormalities have worse overall survival, relapse incidence, and transplant-related mortality than patients with either chromosome 5 or chromosome 7 abnormalities (van der Straaten et al., Haematologica, 90: 1339-1345, 2005).
  • small molecule compounds that inhibit TTK activity have been developed or identified. These small molecule compounds can be divided into four broad groups.
  • the first group are compounds with N-phenylpyrimidin-2-amine scaffolds, which include Reversine, MPI-0479605, Mps1 -IN-3, AZ 3146, CC-671 , BOS-172722, Mps1- IN-2, NTRC 0066-0, and NMS-P715.
  • the second group are compounds with N- phenylpyridine scaffolds, which include TC Mps112, Mps1-IN-1 , and CCT251455.
  • the third group are compounds with 3-phenylindazole scaffolds, which include SP600125, CFI- 400936, and CFI-401870.
  • the fourth group are compounds with five-membered bridged sixmembered heterocyclic scaffolds, which include Mps-BAY1 , Mps-BAY2a, Mps-BAY2b, BAY 1161909, BAY 1217389, CFI-402257, PF-7006, and PF-3837.
  • TTK inhibitors have been tested in combination with microtubule-targeting agents to increase chromosomal separation errors and kill cancer cells more efficiently.
  • CC-671 (a highly selective inhibitor of TTK and CLK2) was found to inhibit the drug efflux activity of ABCG2 in lung cancer cells, thus increasing the level of intracellular chemotherapy and potentially improving the efficacy of chemotherapy in lung cancer (Wu et al., Cancer Science, 1 11 (8): 2872, 2020).
  • Another group developed a TTK small molecule inhibitor, Mps1 -IN-3, which caused mitotic abnormalities in glioblastoma cells, and the combination of Mps1 -IN-3 with vincristine increased aneuploidy and cell death (Tannous et al., Journal of the National Cancer Institute, 105(17): 1322-1331 , 2013).
  • TTK inhibitors are in clinical trials: BAY-1217389 (NCT02366949), BAY-1 161909 (NCT02138812), BOS-172722 (NCT03329494), CFI-402257 (NCT02792465, NCT03568422), and S-81694
  • NCT03411 161 All five inhibitors are being assessed in combination with paclitaxel, as this combination increased cancer sensitivity and mitigated side effects due to the reduced dosage used for the combination.
  • the disclosed method comprises administering a TTKi to a subject in need thereof, wherein the TTKi is selected from a group consisting of CFI-402257, S-81694 (see WO2009156315A1 ), BAY-1217389 (see WO2014131738A2), BOS-172722 (see W02014037750A1 ), CC-671 (see WO2014113429A2), OSU-13 (see Wengner et al., Mol Cancer Ther, 15(4): 583-92, 2016), VRN-081569 (see Jung et al., Proceedings of the AACR Annual Meeting, Philadelphia (PA): AACR; Cancer Res 2021 ; 81 (13_Suppl): Abstract nr LB119), Empesertib (see WO2013087579A1 ), BAL-0891 (see Lane et al., Annals of Oncology, 33(S1 ): Abstract nr 42P,
  • CFI-402257 has been described.
  • CFI-402257 has shown promising activity against colon, ovarian, hepatocellular carcinoma, and breast cancer and is being studied in various solid malignancies (NCT05251714, NCT03568422, and NCT02792465).
  • TTK is overexpressed in high-risk MN including those with TP53 mut , CK, and in relapsed/ refractory MN.
  • CFI-402257 readily and selectively induces apoptosis and reduced clonogenic potential in bone marrow mononuclear cells (BMMC) of TP53 mut AML compared to TP53 wt AML and healthy donors.
  • BMMC bone marrow mononuclear cells
  • the “3+7” regimen (3 days of daunorubicin + 7 days of cytarabine), developed in the late 1970s, was the standard of care for nearly 40 years, producing estimated 5-year survivals of 30% to 35% in younger patients (age ⁇ 60 years) and 10%-15% in older patients (age >60 years). While the clinical trials that led to the approval of the “3+7” regimen were conducted in a highly selective patient population, broad application of this intensive chemotherapy regimen was subsequently not well tolerated in older patients with multiple comorbidities (e.g., hypertension, diabetes, cardiac hypertension, ect).
  • multiple comorbidities e.g., hypertension, diabetes, cardiac hypertension, ect.
  • Recent clinical innovation in AML treatment includes small molecule-targeted therapies, such as FLT3 and IDH inhibitors, and the BCL-2 inhibitor venetoclax.
  • FLT3 mutations are molecular abnormalities present in 25-30% of AML patients. These abnormalities are associated with worse OS outcomes, regardless of cytogenetic risk.
  • Midostaurin is an oral tyrosine kinase inhibitor that has demonstrated efficacy in inhibiting this abnormal gene.
  • a reduction of peripheral circulating blasts was demonstrated in 7 of 20 patients with relapsed FLT3+ AML treated with single-agent Midostaurin (Kottaridis et al., Blood, 98(6): 1752-1759, 2001 ).
  • the method disclosed herein comprises administering at least one additional therapeutic agent in combination with the TTKi.
  • the additional therapeutic agent may consist of cydarabine, azacitidine, daunorubicin, decitabine, a FLT3 inhibitor, an IDH inhibitor, avapritinib, dasatinib, venetoclax, navitoclax, obatoclax, oblimersen sodium, oblimersen magrolimab (anti-CD47 monoclonal antibody), 6-mercaptopurine-methotrexate, ATRA, arsenic trioxide, idarubicin, gemtuzumab ozogamicin, fludarabine, filgrastim, and APR246.
  • the additional therapeutic may also comprise a stem cell transplant.
  • Described herein is a method of restoring venetoclax sensitivity in venetoclax - resistant cells in a subject, said method comprising administering a TTKi to the subject.
  • Intrinsic apoptosis relies on the balance between pro- and anti-apoptotic proteins inducing mitochondrial outer membrane permeabilization (MOMP), ultimately leading to caspasedependent cell death.
  • MOMP mitochondrial outer membrane permeabilization
  • BAX and BAK form pores in the mitochondrial membrane, inducing mitochondrial outer membrane permeabilization (MOMP).
  • BCL-2 protein family containing a single BH3 domain named “BH3-only proteins”, which have a pro-apoptotic role (BIM, NOXA, PUMA, BID).
  • BIM pro-apoptotic role
  • MOMP is blocked by a series of proteins that have an anti- apoptotic role including BCL2, BCL-XL, and MCL1 .
  • BCL2 is often overexpressed in AML cells, and is associated with poor prognosis and resistance to chemotherapy (Campos et al., Blood, 81 : 3091-3096, 1993).
  • the disclosed method comprises administering a BCL-2 inhibitor, wherein the BCL-2 inhibitor is selected from the group consisting of ABBV-453, ABBV-623, BCL-201 , LOXO-338, LP-108, TQB3909, ZN-d5, LP- 118, VOB560 (S65487), AZD0466, APG 2575, bcl-2 antisense oligodeoxynucleotide G3139, APG-1252, BGB-11417, GDC-0199, or venetoclax.
  • the BCL-2 inhibitor is selected from the group consisting of ABBV-453, ABBV-623, BCL-201 , LOXO-338, LP-108, TQB3909, ZN-d5, LP- 118, VOB560 (S65487), AZD0466, APG 2575, bcl-2 antisense oligodeoxynucleotide G3139, APG-1252, BGB
  • BCL-2 inhibitors The rationale behind BCL-2 inhibitors is to induce intrinsic apoptosis by blocking anti-apoptotic proteins.
  • the BCL-2 inhibitor venetoclax has undergone clinical trials in combination with hypomethylating agent azacitidine, and patients receiving the combination treatment exhibited better overall survival compared to patients that received azacitidine alone (DiNardo et al., Blood, 130(1 ): 2628, 2017). Mutations in particular genes can influence venetoclax efficacy in AML patients.
  • CRISPR-Cas9 screens have consistently identified BAK, BAX, PUMA, and NOXA, as well as TP53 target genes as crucial regulators of venetoclast activity in vitro (Fischer, Oncogene, 36: 3943-3956, 2017).
  • TP53 mut Given the association of TP53 mut with poor survival in nearly all cancers 91 92 including MN, 5 35 it is commonly presumed that TP53 mut rnay also portend poor survival in CCUS. However, there is a lack of consensus if TP53 mut is independently associated with poor survival in CCUS. In a population study of 873 CCUS patients, TP53 mut was highly predictive for subsequent MN (positive predictive value 0.82-0.9). 41 In contrast, two population studies that included >400,000 participants each, did not find TP53 mut as an adverse-risk factor for subsequent leukemia. 9 ’ 10
  • TP53 mut clones suggest high-risk of future MN, but additional cell-intrinsic and extrinsic factors are necessary to drive progression to myeloid neoplasm.
  • Leukemic transformation is a clinically significant event as the survival of TP53 mut MN is dismal compared to the CCUS counterpart. Recognition of the collaborating alterations will lead to early diagnosis and opportunity to intervene, improving outcomes.
  • Example 1 Characterization of the sequences of genomic and transcriptomic alterations that preclude leukemic transformation of TP53 mut CCUS.
  • SNV single nucleotide variants
  • indels insertions/deletions
  • SV structural variants
  • the workflow uses a combination of Mutect2, 113 Strelka2, 114 and Manta, 115 respectively.
  • Copy number alternations (CNA) will be detected using Pattern Copy Number Variation.
  • CNA Copy number alternations
  • 116 Detection of chromothripsis will be based on a combination of SV and CNA data.
  • 117 Identified variants will be annotated using BioR framework 118 using ClinVar, Human Gene Mutation Database, Mayo Biobank, and Exome Aggregation Consortium population frequencies.
  • the cell-of-origin for the leukemic transformation will be defined, and serial genomic changes before the leukemic transformation will be characterized.
  • the primary goal of this experiment is to establish that colocalization of biallelic TP53 mut clone with chromosomal 5 and/or 7 abnormalities in the HSC and progenitor cells.
  • Samples used in the prior experiment will undergo simultaneous single-cell DNA sequencing using the Tapestri Platform as described in detail, 120 except that the most promising CNA targets identified by WGS will be included in the customized panel.
  • bioinformatics analyses will be performed using Tapestri Pipeline to perform adapter trimming, sequence alignment, barcode correction, cell finding, and variant calling (using GATK 4.1.7 /Haplotype caller). Generated files were then processed with Tapestri Insights v3.1 (Mission Bio) in collaboration with Patnaik Lab as described in detail. 120
  • the transcripomic alterations in the SAC pathway associated with leukemic transformation will be defined.
  • the primary goal of this experiment is to quantify transcriptomic alterations in the SAC components associated with progression of TP53 mut CClIS.
  • 1 x10 7 cryopreserved BMMC from progressive and non-progressive TP53 mut CUS (n- 15 each at 3 timepoints) will be used.
  • Enriched CD34+/CD38- HSCs (expected 1 -2% of the population) will be isolated as above and total RNA (25-30 ng) will be isolated using standard protocol (Aurum Total RNA Kit, Bio-Rad).
  • TTKi efficacy of TTKi in selectively eliminating TP53 mut clones.
  • the primary endpoint of this experiment is to quantify the reduction in the percentage of TP53 mut cells following treatment with CFI-402257 or other TTKi as described herein.
  • telomeres After washing, the cells will be plated in MethoCult for CFU assay as described and total number of colonies determined at 10 days. Next, up to 100 colonies will be harvested and washed to remove the methylcellulose. Colonies will be sequenced for TP53 and the proportion of colonies with TP53 mut will be determined and compared to vehicle control. Next, TP53 wt colonies will further be evaluated using karyotypic analysis as described. 121
  • a significantly higher proportion of progressive TP53 mut CCUS are expected to harbor CNA of chromosomes 5 and/or 7 prior to leukemic transformation compared to the non-progressive cases.
  • Single-cell sequencing will confirm colocalization of biallelic TP53 mut with chromosome 5 and/or 7 alterations in the HSC and progenitor cells before leukemic transformation.
  • Concurrently performed WGS will confirm TP53 mut VAF and the number of co-mutations to be poor surrogates of the transformation risk.
  • the third set of experiments will demonstrate alterations of the expression of the SAC genes, including the overexpression of TTK, in progressive CCUS that will be validated using the single-gene assay.
  • the tissue-normal comparator approach is not feasible due to the unavailability of the paired normal (e.g., skin biopsy).
  • the ‘tumor only’ WGS approach is validated and identifies 100% CNA detectable by other cytogenetic methods and is expected to reduce analytical complexity and cost without compromising the conclusions.
  • the proposed targets of interest are based on the prevalent knowledge of myeloid biology as well as the preliminary observations. However, given the inclusion of diverse primary malignancies and treatments received, it is likely that novel targets of interest may emerge. Thus, the concurrent use of WGS will allow a non-biased approach and inform the choice of genes/CNA to be included in the single-cell sequencing panel.
  • RNA-seq multiplex RT-PCR over single-cell or bulk RNA sequencing
  • CFI-402257 and other TTKi as described herein will selectively eliminate aneuploid downstream to TP53. Therefore, while conceivable, it is unlikely to induce undesired aneuploidy in TP53 wt cells.
  • the available safety data from murine and early human studies strongly argues against the possibility.
  • CFI-402257 was associated with typical side effects including cytopenia, but no second malignancies have not been reported. 13-15 ’ 56 ’ 60 ’ 97 ’ 122 Nevertheless, induction of aneuploidy in TP53 wt cells is critical and will be carefully excluded as above.
  • Example 2 Evaluation of mechanisms of TTKi-mediated anti-leukemic activity in TP53 mut MN.
  • TTK anti-leukemic activity of a highly selective TTKi CFI- 402257, and mechanisms thereof have been evaluated and will be confirmed in a large cohort of newly diagnosed TP53 mut MN.
  • the anti-leukemic activity of additional TTKi as described herein will also be confirmed.
  • a novel model will be used to quantify the impact of TP53 and ploidy status on TTKi-mediated apoptosis. Using a combination of targeted and unbiased methods, how TTKi restores sensitivity to venetoclax in highly venetoclax resistant TP53 mut MN will be characterized.
  • Example 2 validates senescent-associated myeloid cytokines, aneuploidy, and SAC dysfunction as the drivers for leukemogenesis and identify strategies to prevent and treat TP53 mut MN.
  • TKK is overexpressed in all high-risk MN, including TP53 mut MN, AML with CK, and relapsed/refractory AML.
  • CFI-402257 An orally bioavailable, highly specific, and potent inhibitor of TTK (CFI-402257) has been previously described.
  • CFI-402257 has shown promising activity against colon, ovarian, hepatocellular carcinoma, and breast cancer and is being studied in various solid malignancies (NCT05251714, NCT03568422, and NCT02792465). 13 ’ 18, 56, 60, 97 pi rst , CH-402257 was assessed to determine activity against TP53 mut AML.
  • BMMC bone marrow mononuclear
  • TP53 mut myeloid cell lines represent a valid model for mechanistic experiments by confirming dose-dependent inhibition of cell proliferation and clonogenic potential (representative data for TP53 mut U937 and TP53 wt OCI-AML3 shown, Figure 4A, B).
  • CFI-402257 reduced clonogenic potential of all TP53 mut cell lines tested (representative U937 data, Figure 4C).
  • TTK inhibitors 13 ’ 15 ’ 18 56 TP53 mut myeloid cell lines were treated with CFI-402257 with GI25 (sat 48 hours) of CFI- 402257. Long-term treatment with GI25 dose induced profound aneuploidy and apoptosis in the absence of appreciable induction of polyploidy (representative U937 data, Figure 4D-E). Finally, additional TTK inhibitor MPI-0479605 showed similar anti-leukemic activity, suggesting that the effect seen is secondary to TTK inhibition and not an off-target effect (data not shown). These results suggest overall robust anti-leukemic activity following TTKi.
  • TTKi restored sensitivity to venetoclax in highly VEN-r myeloid cells.
  • TTK inhibitor CFI-402257 briskly induced apoptosis in TP53 mut AML that was highly disproportional to polyploidy induction. Finally, whether TTKi restores sensitivity to routinely used AML treatment venetoclax, and mechanism thereof, have not been studied. [0079] First, TTK overexpression will be validated, and the efficacy of CFI-402257 and other TTKi described herein will be investigated in a large cohort of TP53 mut MN. Next, a combination of genetic and pharmacological approaches will be used to confirm that the antileukemic effects seen following treatment with CFI-402257 or other TTKi are indeed due to TTKi and not off-target effects.
  • TTKi effects will be studied, stratified by TP53- and ploidy status.
  • TTK exerts proliferative and anti-apoptotic effect via activation of the PI3K-AKT- mTOR pathway.
  • AML harbor constitutive activation of PI3K/AKT signaling
  • targeting the pathway has been challenging due to the paradoxical activation.
  • 126 demonstrate of TTKi-mediated inhibition of the PI3K-AKT-mTOR signaling may allow synergetic strategy design.
  • a proposed mechanism of TTK-mediated cell survival independent of its role in the SAC involves mitochondrial localization — suggesting its interaction with BCL2 pathway proteins. 127 Whether TTKi leads to mitochondrial outer membrane permeabilization (MOMP) will be assessed, which would restore sensitivity in VEN-r TP53 mut MN.
  • MOMP mitochondrial outer membrane permeabilization
  • TKK overexpression and the efficacy of TTKi in TP53 mut MN patient samples will be validated.
  • the primary goals of these experiments are to validate (i) TTK overexpression and (ii) anti-leukemia activity of CFI-402257 and other TTKi in newly diagnosed TP53 mut MDS and AML.
  • the secondary goal is to confirm that anti-leukemia activity exerted by CFI-402257 and other TTKi is secondary to TTKi.
  • TTK mRNA and protein expression will be measured using qRT-PCR and western blot respectively and compared to healthy donor BMMC.
  • the expression of TTK will be correlated to apoptosis and CFU potential.
  • TP53-status and genomic instability the impact of TP53-status and genomic instability on the efficacy of TTKi will be characterized.
  • the primary goal of these experiments is to distinguish TTKi-mediated anti-leukemic activity stratified by TP53 and ploidy status.
  • TP53- isogenic cell lines of MV-4-11 was created using CRISPR-Cas9 mediated knockout (TP53KO) using the lentiviral approach.
  • TP53 or no target control (NTC) single guide (sg)-RNAs were designed, ligated to LentiCRISPRv2-mCherry plasmid, and co-transfected into HEK293T cells with the packaging plasmids pMD2.G and psPAX2 (AddGene #12259 and #12260). Lentiviral production and transduction was performed using standard protocol. 130 Following 5 days of culture, mCherry was assessed using fluorescence microscopy and sorted via fluorescence-activated cell sorting (FACS).
  • FACS fluorescence-activated cell sorting
  • TP53 small hairpin (sh)-RNA targeting TP53 (Mission shRNA), and 1 non-target control (NTC) will be cloned into pLKO.1_U6- shRNA: hPGK-Puro-CMV-tGFP (Millipore Sigma) will be used. Isogenic parental and TP53- deficient MV-4-1 1 cells will be used for subsequent experiments. To generate an induced model of polyploidy, near euploid MV-4-11 cells will be treated with 0.75 pM cytochalasin D (ThermoFisher) for 18 hours. 15 Cells will be washed and rested for 24 hours.
  • cytochalasin D ThermoFisher
  • TTKi-mediated anti-leukemic activity in TP53 mut MN will be determined.
  • the primary goal of this experiment is to demonstrate that TTKi mediates antileukemic activity via the inhibition of PI3K-AKT signaling, resulting in decreased glycolysis.
  • TP53 mut MN cells will be assessed to determine whether TTKi-mediated antileukemic activity is secondary to the dose-dependent inhibition of PI3K-AKT as measured by decreased phosphorylation and caspase activation will be evaluated.
  • 18 Inhibition of glycolysis will be demonstrated via pre- and post-treatment measurements of the OCR and the ECAR.
  • TTKi-mediated resensitization to venetoclax in TP53 mut MN will be determined.
  • the primary outcome of this experiment is to confirm that TTKi restores sensitivity to venetoclax in VEN-r TP53 mut AML.
  • the secondary outcome is to characterize the mechanism of restoration of venetoclax sensitivity in VEN-r TP53 mut AML.
  • TP53 mut AML BMMC will be treated with increasing concentrations of venetoclax for 36 hours in the presence or absence of GI25 concentration of CFI-402257 or other TTKi, and assessed for induction of apoptosis and CFU potential.
  • U937 cells will be treated with increasing concentration of venetoclax in the absence or presence of GI25 of CFI-402257 or other TTKi for 0, 2, 6, and 12 hours.
  • TTK KO and TTK KD are expected to confirm the antileukemic activity seen with the panel of TTKi.
  • Discrepancy in anti-leukemic activity of CFI- 402257 or other TTKi and TTK knockdown will suggest an off-target effect of CFI-402257 or other TTKi that will be interrogated using broad profiling of kinases with a particular emphasis on cell cycle regulators.
  • TTKi is expected to act downstream to TP53 and aneuploidy and not the TP53-status will be determinant of its efficacy, suggesting its use in TP53 mut CK and a minority of TP53 wt MN with CK.
  • VEN-r develops via a wide array of mechanisms with upregulation of anti-apoptotic BCL2 family member proteins and metabolic reprogramming appear to the best common mechanisms.
  • 64 ’ 132 ’ 133 In the event that neither of these mechanisms are involved in the restoration of venetoclax sensitivity, RNA- sequencing approach will be performed.
  • apoptosis as the most likely mechanism of anti-leukemic activity. In the event that apoptosis is not the dominant mechanism of cell death, non-apoptotic mechanisms including GAS-STING activation, 13 senescence induction, 124 necroptosis, and autophagy will be explored.
  • TP53 mutation status divides myelodysplastic syndromes with complex karyotypes into distinct prognostic subgroups.
  • Factors Predicting Survival in Patients with TP53-Mutated Myeloid Neoplasms Following Allogeneic Stem Cell Transplant. Transplantation and Cellular Therapy Meetings; February 22, 2024; San Antonio, TX, LJSA2024.
  • TTK is a potential therapeutic target for cisplatin-resistant ovarian cancer. Journal of Ovarian Research. 2021 ;14(1 ):128. doi: 10.1 186/s13048-021 -00884-z.
  • TTK promotes mesenchymal signaling via multiple mechanisms in triple negative breast cancer. Oncogenesis. 2018;7(9):69. doi: 10.1038/s41389-018-0077-z.
  • Genome Analysis Toolkit a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20(9):1297-303. Epub 20100719. doi: 10.1 101 /gr.107524.1 10. PubMed PMID: 20644199; PMCID: PMC2928508.

Landscapes

  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Veterinary Medicine (AREA)
  • Medicinal Chemistry (AREA)
  • Public Health (AREA)
  • Organic Chemistry (AREA)
  • Pharmacology & Pharmacy (AREA)
  • Animal Behavior & Ethology (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Epidemiology (AREA)
  • Engineering & Computer Science (AREA)
  • Wood Science & Technology (AREA)
  • General Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Zoology (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Genetics & Genomics (AREA)
  • Analytical Chemistry (AREA)
  • Oncology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biophysics (AREA)
  • Hematology (AREA)
  • Biotechnology (AREA)
  • Microbiology (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • Hospice & Palliative Care (AREA)
  • Biochemistry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Medicines That Contain Protein Lipid Enzymes And Other Medicines (AREA)

Abstract

The present disclosure provides methods for assessing and/or treating subjects having CCUS, MN, or AML. In some embodiments, treatment of a subject with TTKi prevents progression of TP53mut CCUS to TP53mut MN. In other embodiments, methods are provided to treat TP53mut MN with a TTKi, which functions by increasing genomic stability, increasing dysfunction of the spindle assembly checkpoint, and decreasing survival of aneuploidy cells. In another embodiment, the subject is treated with a TTKi in combination with at least one additional therapeutic agent, which may include a BCL-2 inhibitor, intensive chemotherapy, and a stem cell transplant.

Description

COMPOSITIONS AND METHODS FOR TREATING TP53-MUTATED MYELOID NEOPLASMS
BACKGROUND
[0001] TP53mut MN represent 10-12% of all and 35-40% of therapy-related myeloid neoplasms (t-MN). Despite improvements in understanding of the mechanisms behind, and therapeutics for, myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) as well as TP53 biology, the outcomes of TP53mut MN remain extremely poor.23 20 Commonly used treatments including hypomethylating agents (HMA) or intensive chemotherapy led to little improvement in survival. While selective targeting of BCL-2 with the BH3-mimetic venetoclax has been revolutionary for AML, it was not associated with meaningful survival in TP53mut MN.6 21 Further development of novel agents aimed at TP53mut MN such as eprenetapopt (APR-246)22 and anti-CD47 antibody magrolimab23 have been discontinued due to lack of efficacy. Thus, effective therapies for TP53mut MN are urgently needed.
[0002] TP53mut AML is more common in elderly (>60 years) population and its incidence increases from 4%, 16%, 19%, 17%, to 50% in those age <60, 61 -70, 71 -80, 81 -90, and >90, respectively.24 With overall success of cancer-directed therapies, long-term complications of DNA-damaging therapies, including the development of TPSS ^ t-MN have come into focus.25 Previously, it was hoped that the use of novel, non-cytotoxic approaches would result in decline in the incidence of t-MN and TPSSP^ MN. However, with expanding use and longer follow up, poly-(ADP-ribose) polymerase inhibitors (PARPi) are linked to t- MN.26-28 Similarly, MN developing after radioneuclides29 and chimeric-antigen receptor (CAR) T-cell therapies30-34 have also been described (Gurney et al. JAMA One, in press). Thus, as the general population ages and the prevalence of cancer survivors rises, the incidence of TPS^ MN is expected to rise.
[0003] Clonal hematopoiesis (CH) and CCUS are recognized as the precursor to MN.5 35 For example, TP53mut clone that evolves to MN can usually be identified years before the MN diagnosis.36-40 On the other hand, whether TP53mut clone imparts increased risk of a subsequent MN is a matter of active debate9 41 and emergence, disappearance, stability, and leukemic progression of the TP53mut clone over time has been observed.123239 42-44 Median time from cytotoxic exposure to the development of TP53mut MN is >5 years. Emerging evidence suggests that the latency may be shorter following the use of novel agents including CAR-T therapy30-34 and PARPi,26-28 suggesting that both hematopoietic stem cells (HSC) -intrinsic and -extrinsic factors contribute to the development of MN.
[0004] However, the ability to predict the behavior of the pre-malignant clone is limited. With the ever-expanding use sequencing technology, more cytopenic patients will be identified who harbor TP53mut, but do not yet meet the criteria for a MN. Recognition of TP53mut CH/CCUS may lead to overutilization of diagnostic testing, hesitancy to undergo lifesaving therapies, and induce anxiety. Therefore, informed guidelines on counseling, risk stratification, and surveillance strategies as well as additional clarification on the mechanisms of progression to TP53mut MN is urgently needed.
[0005] Widespread genomic instability is one of the strongest predictors of inferior survival in both MDS and AML.52035 50 Genomic instability, manifesting as complex karyotype (CK), is relatively uncommon in MN (10-12%) but is highly prevalent in TP53mut MN (70-80%).251 Enrichment of TP53mut increases with increasing clonal complexity: from <5% in cases with diploid cytogenetics to >95% in those with >7 karyotypic abnormalities.4 Even within the high risk TP53mut MN, patients with CK have shorter survival.2 4 On the other end of the spectrum — in CH and CCUS — cytogenetic abnormalities portends higher risk of MN progression and death.952 53
[0006] TP53-deficient state facilitates two complementary processes — dysfunction of the spindle assembly checkpoint (SAC) predisposing to genomic instability, and survival of these aneuploid cells.17 54 Consequently, alterations of the SAC components are frequently observed in cancer.15 55 Since the SAC functions downstream to TP53, it is thought that SAC inhibition (SACi) can exert anti-cancer activity56 and resensitize to the conventional chemotherapies even in TP53-deficient cells.54 Threonine tyrosine kinase (TTK) is the central component of the SAC that ‘senses’ the lack of end-on attached microtubules to kinetochores, rapidly localizing other SAC components to the unattached kinetochores, and assisting the assembly of the mitotic checkpoint complex (MCC), ultimately preventing the progression to mitosis.57 As expected, TTK is overexpressed in many malignancies and TCGA analyses confirmed TTK to be one of the most upregulated genes in TP53mut cancers across the spectrum of cancers.58 59
[0007] Therefore, TTK has emerged as an attractive therapeutic target.13-18555660-63 Although the exact mechanism is unclear, it is thought that TTK inhibition (TTKi) allows aneuploid cells to continue to divide, resulting in progressive genomic instability that jeopardizes their survival. Thus, targeting TTK in aneuploid TP53-deficient cells represent synthetic lethality.1315
[0008] Both TP53mut and CK are the most common causes of resistance to venetoclax based therapies.64 Serial analysis of venetoclax naive and resistance cases showed acquisition of aneuploidy at the time of venetoclax resistance (VEN-r).21 In the absence of viable alternatives, venetoclax-based regimens have become de facto standard-of-care for TP53mut AML and is being increasingly investigated in MDS. Therefore, identifying strategies to mitigate and reverse VEN-r is a critical means to improve survival in this subset and represents an urgent need of the day.
SUMMARY
[0009] The present disclosure provides materials and methods for assessing and/or treating patients with leukemia. In one embodiment, the disclosure provides a method of treating a subject diagnosed with TP53mut myeloid neoplasms (TP53mut MN), said method comprising administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
[0010] In another embodiment, a method is provided comprising treating TP53mut MN in a subject, said method comprising the steps of (a) diagnosing the subject with TP53mut MN, and (b) administering a TTKi to the subject. In still another embodiment, the present disclosure provides a method of increasing genomic stability in a subject, said method comprising the steps of (a) diagnosing the subject with TP53mut MN, and (b) administering a TTKi to the subject. In yet another embodiment, a method is provided to increase dysfunction of the spindle assembly checkpoint (SAC) in a subject, said method comprising the steps of (a) diagnosing the subject with TP53mut MN, and (b) administering a TTKi to the subject. In another embodiment, the present disclosure provides a method of decreasing survival of aneuploidy in cells in a subject, said method comprising the steps of (a) diagnosing the subject with TP53mut MN, and (b) administering a TTKi to the subject.
[0011] In still another embodiment, the present disclosure provides a method of preventing progression of TP53mut CCUS (Clonal Cytpoenia of Undetermined Significance) to TP53mut MN in a subject, said method comprising administering a TTKi to the subject. Further provided, in another embodiment, is a method of restoring venetoclax sensitivity in venetoclax-resistant cells in a subject, said method comprising administering a TTKi to the subject.
[0012] In an aspect, the subject has a complex karyotype. In various aspects, the subject has 3, 4, 5, 6, 7, 8, 9, 10 or more chromosomal abnormalities. In other aspects, the chromosomal abnormality is selected from the group consisting of a chromosomal deletion, duplication, inversion, and translocation. In still other aspects, the chromosomal abnormalities comprise chromosome 5 abnormalities, chromosome 7 abnormalities, or abnormalities in both chromosomes 5 and 7. In another aspect, the abnormalities are selected from deletions of chromosome 5q or 7q.
[0013] In an embodiment, the subject’s TP53mut phenotype comprises one or more of T125_splice, H179, H179, R175, R213, G245, R248, R273, and R282 mutations in the TP53 gene. In another embodiment, the TP53mut MN is selected from the group consisting of relapsed/refractory MN, myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML).
[0014] In other embodiments, the TTKi is selected from the group consisting of CFI- 402257, S-81694 , BAY-1217389 , BOS-172722 , CC-671 , OSU-13 se, VRN-081569 , Empesertib , BAL-0891 , CCT-251455 , CFI-401870 , MPI-0479605 , and NTRC-0066-0. In one embodiment, the TTKi is CFI-402257.
[0015] In another embodiment, at least one additional therapeutic agent is administered to the subject in combination with the TTKi. In still another embodiment, the at least one additional therapeutic agent is selected from the group consisting of a BCL-2 inhibitor, intensive chemotherapy (doxorubicin, daunorubicin, idarubicin, cytarabine, azacitidine, decitabine), and a stem cell transplant. In yet another embodiment, the additional therapeutic agent is a BCL-2 inhibitor selected from the group consisting of venetoclax, navitoclax, obatoclax, and oblimersen sodium. In an aspect, the BCL-2 inhibitor is venetoclax.
BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 A provides a multivariate analysis for survival in patients with TP53- mutated clonal cytopenia of undetermined significance (CCUS, n=40) and myelodysplastic syndrome with low blasts (n=173) show CK as an independent risk factor. Figure 1 B shows that isolated abnormalities of chromosome 5 are associated with lower variance allele frequency (VAF) of TP53mut compared to those with additional abnormalities. Figure 1 C shows that isolated abnormalities of chromosome 7 are also associated with lower variance allele frequency (VAF) of TP53mut compared to those with additional abnormalities. Figure 1 D shows that increasing clonal complexity is associated with higher TP53mut VAF. For Figure 1 , Iso — isolated; Del — deletion; CK — complex karyotype; Non-rec. — non-recurrent.
[0017] Figure 2 describes overexpression of TTK mRNA in a wide variety of MN, including high-risk MN. Figure 2A shows that TTK was overexpressed in BBMC of MDS compared to healthy controls. Figure 2B shows that TKK was overexpressed in TP53mut AML BMMC compared to TP53wt AML. Figures 2C and D show that among AML cases, TTK overexpression was associated with increasing clonal complexity. Figure 2E shows that TKK was overexpressed in recurrent compared to primary AML. Figure 2F shows that TTK was overexpressed in TP53mut myeloid cell lines compared to TP53wt cell lines. For Figure 2, Mean ± SEM shown. * P<0.05; **P<0.01 ; *** P<0.005; ****P<0.001 . MDS - myelodysplastic syndrome; AML - acute myeloid leukemia; BMMC - bone marrow mononuclear cells.
[0018] Figure 3 demonstrates that addition of TKK inhibitor (TTKi) CFI-402257 at the GI25 dose resensitizes venetoclax-resistant U937 cells to venetoclax as measured by cell proliferation (Figure 3A) and induction of apoptosis (Figure 3B). For Figure 3, the experiments performed in triplicate, mean ± SEM shown. ****P<0.001. Ven - venetoclax.
[0019] Figure 4A demonstrates that TKK is overexpressed in TP53mut myeloid cell line LI937 and MOLM-16 compared to TP53wt OCI-AML3. Figure 4B provides results from myeloid cell lines LI937 and OCI-AML3 that were treated with increasing concentrations of TTK inhibitor (TTKi) CFI-402257 for up to 48 hours, and cell viability was measured using CCK-8 assay. Figure 4C demonstrates that TTKi reduces clonogenic potential of U937 cells. Figures 4D and 4E demonstrate that long-term treatment with TTKi at GI25 induces apoptosis in TP53mut cell lines in the absence of appreciable polyploidy. In Figure 4, ****P<0.001 . Gl = growth inhibition; AS = Aneuploidy score as defined in Cohen-Sharir et al. Nature.16
[0020] Figure 5 shows that addition of TTK inhibitor (TTKi) CFI-402257 at the GI25 dose resensitizes venetoclax-resistant U937 cells to venetoclax as measured by (A) cell proliferation and (B) induction of apoptosis. For Figure 5, experiments were performed in triplicate, mean ± SEM shown. ****P<0.001 . Ven - venetoclax.
DETAILED DESCRIPTION
[0021] Disclosed herein are methods to effectively prevent and treat a highly aggressive leukemia that is expected to incur substantial morbidity and mortality in the near future. In some embodiments, the materials and methods provided herein can be used to diagnose a subject with a highly aggressive subset of leukemia, and treat the subject informed by their leukemia subset. Also disclosed herein is a strategy to diagnose an aggressive subset of leukemia at preneoplastic stages, or to diagnose an aggressive subset of leukemia at the myeloid neoplasm stage prior to progression to AML. In one embodiment, the disclosed method of treating TP53mut MN in a subject comprises: (a) diagnosing the subject with TP53mut MN; and (b) administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
[0022] Leukemia is the clonal proliferation of hematopoietic stem cells in the bone marrow. Leukemia is a common malignancy in children and adults that occurs when alterations in normal cell regulatory processes cause uncontrolled proliferation of hematopoietic stem cells in the bone marrow. Approximately one in 70 individuals develop leukemia in their lifetime. The invention generally provides methods of treatment of cancers of myeloid or lymphoid systems, including leukemias, lymphomas, and other cancers that typically are not present as a tumor mass, but are distributed in the vascular or lymphoreticular systems. In one embodiment, the method comprises treating a subject diagnosed with TP53mut myeloid neoplasm (TP53mut MN), said method comprising administering a threonine tyrosine kinase inhibitor (TTKi) to the subject. As described herein, the long-term goal of the methods provided herein is to improve outcomes of TP53mut MN. Proinflammatory cytokines secreted by the BM-MSC lead to the expansion of the preexisting TP53mut clone via paracrine mechanisms. In one embodiment, loss of TP53 function may lead to TTK overexpression that in turn facilitates acquisition of aneuploidy and leukemic transformation. Inhibition of TTK results in robust antileukemic activity, both as a single agent or in combination with BCL-2 inhibitor venetoclax, representing a strategy to prevent and treat TP53mut MN.
[0023] Leukemias can be generally classified into four broad subtypes: acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), chronic lymphocytic leukemia (CLL), and chronic myleloid leukemia (CML). ALL occurs more often in children, while the other subtypes are more common in adults (Davis et al., Am Fam Physician, 89(9): 731 -738, 2014).
[0024] ALL is a B-cell precursor (BCP) lineage (BCP-ALL) cancer or, less commonly, T- cell precursor lineage (T-ALL). Both comprise multiple subtypes commonly defined by structural chromosomal alterations that are initiating lesions, with secondary somatic (tumor- acquired) DNA copy number alterations and sequence mutations that contribute to leukemogenesis. Chromosomal alterations include aneuploidy and chromosomal rearrangements that result in oncogene deregulation or expression of chimeric fusion genes. KMT2A (MLL) rearrangements, particularly the t(4;11 )(q21 ;q23) translocation, are most frequent in infants (< 1 year of age) and are associated with poor outcome. High hyperdiploidy with gain of at least five chromosomes and ETV6-RUNX1 are each present in 25% to 30% of patients with childhood ALL but occur in less than 3% of young adults and are associated with favorable outcome. Conversely, BCR-ABL1 (Philadelphia [Ph] chromosome) -positive ALL composes 2% to 5% of childhood and 25% of adult ALL, and although historically associated with poor prognosis, outcomes have been markedly improved with the use of tyrosine kinase inhibitors (TKIs). The translocation t(1 ;19)(q23;p13) resulting in the TCF3-PBX1 fusion occurs in approximately 5% to 6% of childhood and adult BCP-ALLs. Secondary DNA deletions, gains, and mutations are characteristic of BCP-ALL, are important cooperating lesions in leukemogenesis, and may be acquired or enriched during disease progression. These include alterations of lymphoid transcription factors (IKZF1, PAX5, EBF1), cell-cycle regulation and tumor suppression (CDKN2A/CDKN2B, RB1), regulation of apoptosis, transcriptional regulation and coactivation ETV 6, ERG), and epigenetic alterations (lacobucci, J Clin Oncol, 35(9): 975-983, 2017).
[0025] AML is characterized by clonal expansion of immature blast cells in the peripheral blood and bone marrow, resulting in effective erythropoiesis and bone marrow failure. Early stages of pre-AML disease includes a condition referred to as clonal cytopenia of undetermined significance (CCUS), which can then progress to myeloid neoplasms (MN), which can further progress into AML. AML is a highly heterogeneous disease with a variable prognosis. It can result from genetic mutations, chromosomal translocations, or changes in molecular levels. About 97% of the embodiments have been studied to have genetic mutations. Despite its heterogeneity, it can be categorized into favorable, intermediate, or adverse-risk groups based on cytogenetics. The prognosis within these categories varies widely. The chromosomal translocations t (8;21 ), t (15;17), or inv (16) have a favorable prognosis with 3-year overall survival (OS) rate of about 66% and 33% in patients younger than 60 and older than 60 years of age respectively. People with t (9;11), monosomy 5 or 7, and normal cytogenetics (CN-AML) have an intermediate risk. A high risk of treatment failure and death was noted in people with t (6;9), inv (3). or 11q changes. The presence of c-KIT mutations in patients with t (8;21) increases the risk of relapse and decreases the OS. Frequently mutated genes in AML include NPM1, FLT3, RUNX1, DNMT3A, IDH1, IDH2, TET2, NRAS, CEBPa, WNT, and TP53. NPM1 mutations are associated with chemosensitivity in both young and old patients, as well as other genetic abnormalities including FLT3-ITD, FLT3-TKD, and IDH mutations. FLT3 '\s strongly expressed in hematopoietic stem cells, with important roles in cell survival and proliferation. Mutations involving the Internal tandem duplications (ITD) and the tyrosine kinase domain (TKD) of the FLT3 gene have been found in 20% of AML cases and 30% to 45% of CN-AML patients. Both the mutations activate FL T3 signaling, promoting blast proliferation. Patients with FLT3 mutations can have severe leukocytosis. FLT3-ITD mutations have been associated with an increased risk of relapse. Tyrosine kinase inhibitors (TKI) are being tested in FL T3 mutated AML patients. Unfortunately, when used alone, TKIs showed only a transient reduction of blasts, and even if initially effective, the subsequent acquisition of secondary mutations induces resistance over time. RUNX1 is an essential component of hematopoiesis; it is located on chromosome 21 and is frequently translocated with the ETO gene located on chromosome 8q22, creating an AML -ETO or t(8;21 )(q22;q22) AML which is seen in about 12% of AML cases. They are commonly associated with trisomy 13, trisomy 21 and show resistance to standard induction therapy (Vakiti et al., Acute Myeloid Leukemia, StatPearls, 2023).
[0026] CLL is characterized by the clonal proliferation and accumulation of mature, typically CD5-positive B-cells within the blood, bone marrow, lymph nodes, and spleen. The capacity to generate clonal B cells seems to be acquired at the hematopoietic stem cell (HSC) stage, suggesting that the primary leukemogenic event in CLL might involve multipotent, self-renewing HSCs (Hallek et al., Am J Hematol, 96: 1679-1705, 2021). Approximately 80% of all patients with CLL carry at least one of four common chromosomal alterations: a deletion in chromosome 13q14.3 (del[13q]), del(11q), del(17p), or trisomy 12.8 Del(13q) is the most common chromosomal alteration occurring in approx. 55% of all cases. An isolated del(13q14) is characterized by a benign course of the disease. The miRNAs miR-15a and 16-1 are located in the critical region of del(13q14)9 and regulate the expression of proteins that can inhibit apoptosis or that are involved in cell cycle progression. Deletions of the short arm of chromosome 17 (del(17p)) are found in 5%-8% of chemotherapy-naive patients. These deletions almost always include band 17p13, where the prominent tumor suppressor gene TP53 is located. Patients with CLL carrying a del(17p) clone show marked resistance against genotoxic chemotherapies. Mutations of TP53 are found in 4%-37% of patients with CLL, and have been associated with very poor prognosis in a number of studies (Zenz et al., Leukemia, 24: 2072-2079, 2010). Among cases with confirmed del(17p), the majority shows mutations in the remaining TP53 allele (>80%). In cases without del(17p), TP53 mutations are much rarer, but have a similarly detrimental effect on chemotherapy response and overall survival (OS). Deletions of the long arm of chromosome 11 (del(11q)) can be found in approx. 25% of chemotherapy-naive patients with advanced disease stages and 10% of patients with early-stage disease. These deletions frequently encompass band 11q23 harboring the gene ATM, which encodes for the proximal DNA damage response kinase ATM. In addition, patients carrying a del(11q) clone typically show a bulky lymphadenopathy, rapid progression, and reduced OS.16 Interestingly, some of the poor prognostic features of del(11q) were overcome by the use of chemoimmunotherapy.11 Trisomy 12 is observed in 10%-20% of patients with CLL and is associated with an intermediate prognosis. The genes involved in the pathogenesis of CLL carrying a trisomy 12 are largely unknown.
[0027] CML is a myeloproliferative neoplasm caused by a reciprocal translocation [t(9;22)(q34;q 11 .2)] that leads to the fusion of ABL1 gene sequences (9q34) downstream of BCR gene sequences (22q11) and is cytogenetically visible as Philadelphia chromosome (Ph). BCR is a ubiquitously expressed cytoplasmic protein with multiple functionalities. ABL1 is also ubiquitously expressed and has several functions, including inhibition of cell cycle progression and proliferation, integrin signaling, and DNA repair. While ABL1 kinase activity is tightly controlled in physiological conditions, the chimeric BCR/ABL1 protein is a constitutively active tyrosine kinase that re-localizes to the cytoplasm. BCR/ABL1 activates numerous downstream pathways leading to increased proliferation, reduced apoptosis, abnormal adhesion and migration, and genetic instability. These activated signaling pathways collectively lead to malignant transformation. During the early (chronic) phase of CML (CP-CML), the myeloid cell compartment is expanded, but differentiation is maintained. Without effective therapy, CP-CML invariably progresses to blast phase (BP-CML), an acute leukemia of myeloid or lymphoid phenotype (Osman et al., Blood Rev, 49: 100825, 2021). [0028] Acute Leukemias and other blood cell malignancies that may be targeted include acute lymphoblastic, acute myeloid, acute lymphocytic, acute myelogenous leukemia, chronic myelogenous, hairy cell, erythroleukemia, lymphoblastic, myeloid, lymphocytic, myelogenous, leukemia, hairy cell, T-cell, monocytic, myeloblastic, granulocytic, gross, hand mirror-cell, basophilic, hemoblastic, histiocytic, leukopenic, lymphatic, Schilling's, stem cell, myelomonocytic, monocytic, prolymphocytic, promyelocytic, micromyeloblastic, megakaryoblastic, megakaryoctyic, Rieder cell, bovine, aleukemic, mast cell, myelocytic, plamsa cell, subleukemic, multiple myeloma, nonlymphocytic, chronic myelogenous leukemia, chronic lymphocytic leukemia, chronic neutrophilic leukemia, chronic eosinophilic leukemia, polycythemia vera, lymphoma, Hodgkin's disease, non-Hodgkin's lymphoma (indolent and high grade forms), multiple myeloma, Waldenstrom's macroglobulinemia, heavy chain disease, myelodysplastic syndrome, and myelodysplasia and chronic myelocytic leukemias.
[0029] Described herein is a method of preventing progression of TP53mut CCUS to TP53mut MN in a subject, said method comprising administering a TTKi to the subject. Preventing the progression of TP53mut CCUS to TP53mut MN is an atypical strategy, as the current status quo upon a CCUS diagnosis is non-intervention until the development of TP53mut MN; at which point, no effective options are available. Virtually all TP53mut MN patients have profound cytopenia, which is a major driver for morbidity and mortality. The paradigm of exploiting SAC dysfunction as a synthetic lethality as well as the strategy of long term and sustained TTK inhibition (TTKi) minimizing the adverse impact on normal hematopoiesis is particularly enticing.
[0030] Clonal cytopenia of undetermined significance (CCUS) is a preneoplastic disorder that often precedes TP53mut MN and appears to be associated with favorable survival compared to TP53mut MN.8-10 CCUS can progress to MN once dysplasia, excess blasts, or MN-defining genetic lesions occur. Contrary to the prevalent perception, only 14% of TP53mut CCUS progressed to MN, whereas the clone persisted without leukemic transformation in the remaining — raising the opportunity to diagnose or intervene early.11 However, existing biomarkers cannot distinguish between the progressive and non-progressive TP53mut CCUS. Therefore, devising strategies aimed at early identification and developing effective therapies are urgent unmet needs.
[0031] Myeloid neoplasms (MN) are a heterogenous clonal disorder of hematopietic stem cells characterized by cytomorphologic dysplasia, ineffective hematopoiesis, persistence of unexplained cytopenias, and morphological dysplasia. MN is further defined by a propensity to progress to bone marrow failure as well as risk of progression to AML. The disease category of “myeloid neoplasms with mutated TP53” encompasses MN, MN/AML, and AML. All of these subcategories possess TP53mut, and are defined according to blast percentages. These diseases are grouped together because of their overall similar aggressive behavior irrespective of blast percentage, warranting a more unified treatment strategy across the blast spectrum. MN with TP53mut is defined as having any kind of cytopenia, 0-9% bone marrow and blood blasts, and a multi-hit TP53mut or TP53mut (variant allele fraction (VAF)>10%) and complex karyotype (CK) often accompanied by loss of 17p. MN/AML with TP53mut is defined as having any kind of cytopenia, 10-19% bone marrow or blood blasts, and any somatic TP53mut (VAF>10%). AML with TP53mutdoes not require cytopenia, and is defined by >20% bone marrow or blood blasts and any somatic TP53mut (VAF>10%) (Arber et al., Blood, 140(11 ) :1200-1228, 2022).
[0032] The presence of multi-hit TP53 mutations in cytopenic MN corresponds to a highly aggressive disease with short survival. Unlike other MN, the prognosis of MN with multi-hit TP53 does not appear to depend on the blast percentage, although multi-hit TP53 abnormalities appear to be more common in cases with increased blasts (Weinberg et al., Blood Adv, 6(9): 2847-2853, 2022). Multi-hit TP53 can be confirmed by the presence of 2 or more distinct TP53 mutations (VAF > 10%) or a single TP53 mutation associated with (1 ) a cytogenetic deletion involving the TP53 locus at 17p13.1 ; (2) a VAF of >50%; or (3) copyneutral loss of heterozygosity (LOH) at the 17p TP53 locus (Bernard et al., Nat Med, 26(10): 1549-1556, 2020). In the absence of LOH information, the presence of a single TP53 mutation in the context of any complex karyotype is considered equivalent to a multi-hit TP53 (Grob et al., Blood, 139(15): 2347-2354, 2022). Complex karyotype alone in the absence of a TP53 mutation (even in the presence of 17p deletion) does not qualify for this category, as these cases have superior prognosis to TP53mut MN (Haase et al., Leukemia, 33(7): 1747-1758, 2019).
[0033] As discussed above, progression to AML is defined by the clonal expansion of immature “blast cells” in the peripheral blood and bone marrow, resulting in ineffective erythropoiesis and bone marrow failure. Although the blast threshold of 20% defining AML remains, several additional genetic lesions are now considered to be defining of AML for myeloid neoplasms with >10% BM or blood blasts, which include ASXL1, BCOR, EZH2, RUNX1, SF3B1, SRSF2, STAG2, U2AF1, or ZRSR2.
[0034] Leukemic transformation, from MN to AML, is the end result of complex interactions between bone marrow mesenchymal stromal cells (BM-MSC) and clonal hematopoietic stem cells (HSC). In HSC, the loss of functional TP53 leads to the dysregulation of the downstream spindle assembly checkpoint (SAC) facilitating chromosomal mis-segregation. A critical SAC component tyrosine threonine kinase (TTK or MPS-1 ) is overexpressed in a wide variety of cancers,13-19 including TP53mut and genomically unstable MN. Treatment with selective TTK inhibitors (TTKi) reduced proliferation and clonogenic potential while inducing apoptosis in TP53mut MN cell lines and patient samples, suggesting TTKi as an attractive therapeutic strategy in this high-risk subset.
[0035] TP53mut is associated with poor survival in nearly all cancers.91 92 Specifically, TP53 mutations in AML and MN are associated with a poor prognosis (Arber et al., Blood, 140: 1200-1228, 2022). Mutations in the TP53 genes are presents in 10-15% of AML cases and are enriched in poor-risk AML because of frequent additional cytogenetics or molecular alterations (Fleming et al., Blood, 142: 2029-2033, 2022). TP53mut are seen in 10-12% of all MN and 35-40% of those with therapy-related myeloid neoplasms (t-MN). TP53mut MN are highly chemoresistant cancers with median survival <1 year, and no existing or experimental therapies meaningfully improve survival in these patients.2-7 Cytotoxic therapies, including stem cell transplants, used as a treatment of other cancers are the highest risk factors for the development of TP53mut MN. The only potentially curative approach is allogeneic transplant resulting in long-term survival of 20-25% patients, though the risk of relapse remains very high (Ciurea et al., Blood, 131 (26): 2989-2992, 2018).
[0036] TP53 is located on chromosome 17p13 and is essential for cell cycle control and DNA damage response. Although the exact mechanism of leukemogenesis for mutant TP53 AML remains unknown, it has been shown that some TP53 mutations drive a dominant negative effect and typically occur in founding clones that expand after cytotoxic stress. Mutant TP53 is strongly associated with large structural and complex chromosomal aberrations, as illustrated by the co-occurrence of complex karyotypes (CK), which is associated with reduced overall survival in myeloid malignancies.
[0037] There are a wide spectrum of TP53 mutations in tumors, with their frequency varying greatly between different tumor types. TP53 is mutated in more than 90% of ovarian cancers, whereas less than 15% of AML have TP53mut, suggesting that there may be some tissue-specific requirements for loss of wild type or gain of mutant TP53 functions (Pancancer analysis of whole genomes, Nature, 578(7793): 82-93, 2020). TP53mut has been reported to influence biological functions such as metastasis, sternness, epithelial to mesenchymal transition, amongst others (Aschauer et al., Biochem Soc Trans, 44: 460-466, 2016). There is strong enrichment for mutations in the DNA binding domain (DBD). DBD mutations are predominantly missense (-80%, as discussed above), including six “hotspot” codons (R175, R213, G245, R248, R273, and R282), which account for -25% of all TP53 mutations. Additional missense mutations include H179 and Y220 (Shah et al., Blood Cancer Journal, 13: 51 , 2023). In contrast, mutations that occur outside of the DBD are more likely to be nonsense or truncating mutations (-67%) than missense mutations (see Hainaut et al., Cold Spring Harb Perspect Med, 6(1 1 ): a026179, 2016). Mutant premature termination codons and frameshift mutations as well as most single amino-acid substitutions or deletions result in disruption of TP53 function. Loss of function (LOF) mutations in TP53 decrease expression of pro-apoptotic genes such as NOXA or PUMA, which are known transcriptional targets of TP53 (Aubrey et al., Cell Death Differ, 25: 104-1 13, 2018), and to a lesser degree increase the functional activation of the pro-apoptotic BAX and BAK proteins (Thijssen et al., Blood, 137: 2721 -2735, 2018). Specifically, the E180R mutant activates PUMA to sensitize an NRasG12D;AML 1/ETO9a AML mouse model to chemotherapy (Klimovich et al., Oncogene, 41 : 1011 -1023, 2022). TP53 mutants V173M, I195S, R248Q, R273H, and insG282 represent a loss of TP53 wild type function, impacting the DNA damage response by repressing the transcriptional program in Ep-Myc lymphoma cell lines (Aubrey et al., Genes Dev, 32: 1420-1429, 2018). The R273H mutant represents a maintenance of TP53 wild type function, allowing TP53mut to interact with SWI/SNF in MDA-468 cells to increase pro- angiogenic VEGFR2 expression (Pfister et al., Genes Dev, 29: 1298-1315). T125_splice is a splice site variant also found in TP53mut (Shah et al., Blood Cancer Journal, 13: 51 , 2023).
[0038] Beyond acquiring a TP53 mutation in one allele, most tumors lose the second allele by deletion or copy neutral loss of heterozygosity (Shirole et al., Elife, 5:e17929, 2016). TP53mut tumors are reported to respond poorly to intensive chemotherapy, with OS rates of 6-9 months among subsets of AML. In a pooled analysis of phase II and II studies where patients were treated with BCL-2 inhibitor venetoclax and hypomethylating agent azacitidine, response rates were about 70% in patients with TP53wt (with a median OS of 23.4 months) versus 41 % in patients with TP53mut (with an OS of 5.2 months) (Daver et al., Am J Hematol, 98: 1176-1184, 2023).
[0039] Disclosed herein is a method of increasing genomic stability in a subject, said method comprising administering a TTKi to the subject. Widespread genomic instability is one of the strongest predictors of inferior survival in both MDS and AML. Genomic instability, manifesting as complex karyotype (CK), is relatively uncommon in MN (10-12%) but is highly prevalent in TP53mut MN (70-80%). Genomic instability in AML is an important prognostic factor and is used for risk-stratification, with CK being associated with poor prognosis. TP53 mutations are highly present (60%) in AML patients with CK (Stengel et al., Leukemia, 31 : 705-71 1 , 2017). In older patients, (>60 years), only 10—44% of those with >3 cytogenetic abnormalities achieve complete remission (CR) after therapy, and for those with >5 chromosome abnormalities, the CR rates are significantly lower (7-26%) (Farag et al., Blood, 108: 63-73, 2006).
[0040] A key gene for maintenance of diploid karyotype in normal cells is TP53. TP53wt has a role in suppressing genomic instability by inducing apoptosis in cells that exhibit a long pause at the mitotic checkpoint, which is indicative of DNA damage (Dalton et al., Oncogene, 29: 1929-1940, 2010). Mutation in TP53 arises before or after the first aneuploidy event, and these alterations may result in continued proliferation of aneuploidy cells or can trigger apoptosis (Fukasawa et al., Oncogene, 15: 1295-1302, 1997). These mutations are considered an early leukemogenic event in preleukemic stem cells. Enrichment of TP53mut increases with increasing clonal complexity: from <5% in cases with diploid cytogenetics to >95% in those with >7 karyotypic abnormalities. Even within the high risk TP53mut MN, patients with CK have shorter survival. During progression from MN to AML, TP53mut clones often become bi-allelically mutated and genomically unstable, which is reflected by the strong association between bi-allelic TP53mut and CK (Grob et al., Blood, 139(15): 2347- 2354, 2022). TP53-deficient state facilitates two complementary processes — dysfunction of the spindle assembly checkpoint (SAC) predisposing to genomic instability, and survival of these aneuploid cells. Consequently, alterations of the SAC components are frequently observed in cancer. For example, the most common chromosomal abnormality found in AML, t(8;21)(q22;q22), results in a fusion protein that impairs the spindle checkpoint and promotes aneuploidy (Boyapati, Blood, 109: 3963-3971 , 2003). Inactivation of the entire mitotic checkpoint can generate chromosomal mis-segregation leading to genomic instability or apoptosis in various cancers (Cahill et al., Nature, 392: 300-303, 1998). Since the SAC functions downstream to TP53, it is thought that SAC inhibition (SACi) can exert anti-cancer activity and resensitize to the conventional chemotherapies even in TP53-deficient cells.
[0041] In an embodiment, the method comprises reducing dysfunction of the spindle assembly checkpoint (SAC) in a subject, said method comprising administering a TTKi to the subject. Threonine tyrosine kinase (TTK) is a dual-specificity kinase that is critical for the recruitment of SAC proteins to unattached kinetochores, mitotic checkpoint complex (MCC) formation, and thus APC/C inhibition. TKK activation ultimately prevents cell cycle progression to mitosis. TTK is also required for chromosome alignment and error correction. Inhibition of TTK activity causes cells to prematurely exit mitosis with unattached chromosomes, resulting in severe chromosome mis-segregation, aneuploidy, and eventually cell death. While TTK expression is low in most organs, TTK is overexpressed in many malignancies and TCGA analyses confirmed TTK to be one of the most upregulated genes in TP53mut cancers across the spectrum of cancers. Therefore, TTK has emerged as an attractive therapeutic target. Although the exact mechanism is unclear, it is thought that TTK inhibition (TTKi) allows aneuploid cells to continue to divide, resulting in progressive genomic instability that jeopardizes their survival. Thus, targeting TTK in aneuploid TP53-deficient cells represent synthetic lethality.
[0042] In one embodiment, the method comprises decreasing survival of aneuploidy cells in a subject, said method comprising administering a TTKi to the subject. Although genomic instability is defined as the increasing rate at which cells acquire new chromosomal alterations, aneuploidy is associated with the abnormal number of chromosomes in the karyotype at a specific point in time. Genomic instability, which manifests as a constant change in karyotype, is a hallmark of tumor malignancy and is thought to be one of the main causes of aneuploidy, the stable state of an imbalanced chromosome number (Torres et al., Cell, 143: 71-83, 2010). Aneuploidy and genomic instability have both been correlated with poor patient outcomes in multiple cancer types. The selective advantage of genomic instability to cancer growth is thought to derive from intra-tumor heterogeneity, facilitating the selection of chemotherapy resistant clones (Lee et al., Cancer Res, 71 : 1858-1870, 2011 ). In aneuploid cells, an abnormal chromosome count may deregulate cancer pathways or confer therapeutic resistance by duplication or loss of specific genes (Davoli et al., Cell, 155: 948- 962, 2013). Approaches that target genomic instability and aneuploidy in cancer include exploiting the cellular stress-state and resulting DNA damage caused by chromosomal segregation errors (Ohashi, Nat Common, 6: 7668, 2015). Another approach is to exploit the high activation of the SAC in many aneuploid and genomically unstable cells (Maia et al., Ann Oncol, 26: 2180-2192, 2015). If cancer cells are highly dependent on the SAC checkpoint due to their abnormal chromosome number, inhibition of SAC could selectively induce chromosome mis-segregation and cause cell death in the aneuploid or genomically unstable tumors.
[0043] In an embodiment, the method disclosed herein comprises administering a TTKi to a subject, wherein the subject has a complex karyotype. In another embodiment, the subject has a complex karyotype comprising 3, 4, 5, 6, 7, 8, 9, 10, or more chromosomal abnormalities. In other embodiments, the chromosomal abnormality is selected from the group consisting of a deletion, duplication, inversion, or translocation mutation.
[0044] TTK inhibitors serve to inhibit the SAC. Several TTK inhibitors have demonstrated efficacy in reducing xenograft growth in a variety of tumors in mice (Jemaa et al., Cell Death Differ, 20: 1532-1545, 2013; Kusakabe et al., J Med Chem, 58: 1760-1775, 2015), and can increase the efficacy of taxane chemotherapy in patient-derived xenograft mouse models (Wengner et al., Mol Cancer Ther, 15: 583-592, 2016). Definition of the patient population most likely to respond to a particular therapeutic is critical for the success of targeted therapies. However, determining the patient population that would benefit from TTK inhibition has been recognized as challenging for several reasons (Libouban et al., Oncotarget, 8(24): 38309-38325, 2017); (1) mutations in TTK are not detected at high frequencies in human cancers, and there is no relationship between mutated or activated TTK and malignancy status, (2) TTK is highly expressed in several cancer types, but the relationship between TTK expression and disease severity is complex and contradictive. For example, high TTK expression correlates with poor prognosis in hepatocellular carcinoma and HER2-positive breast cancer (Liu et al., Oncotarget, 6: 34309-34320, 2015), while low TTK expression correlates with poor patient outcomes in triple-negative breast cancer (Marie et al., PLoS One, 8: e63712, 2013). Disclosed herein is a methodology that identifies a specific patient population that would benefit from treatment with TTKi; patients diagnosed with TP53mut MN and TP53mut CCUS.
[0045] In another embodiment, the chromosomal abnormality can comprise chromosome 5 abnormalities, chromosome 7 abnormalities, or alterations in both chromosome 5 and 7. In an embodiment, the abnormalities are selected from deletion of chromosome 5q or 7q. Deletions or losses in chromosomes 5 or 7 are recurrent nonrandom abnormalities in AML and MN, and are associated with prior exposure to carcinogens or leukemogenic agents, with poor prognosis (Dabaja et al., Leukemia, 13: 869-872, 1999). With conventional intensive chemotherapy the outcome for patients with MN who have chromosome 5 and/or 7 abnormalities is as poor as that for patients with AML having chromosome 5 and/or 7 abnormalities (Fenaux et al., Semin Hematol, 33: 127-138, 1996). The only established therapy with curative potential for these poor-risk patients is allogenic stem cell transplantation (SCT) (Sierra, Blood, 100: 1997-2004, 2002), although this success is counterbalanced by a rather high transplant-related mortality as well as relapse (Gale et al., Bone Marrow Transplant, 16: 203-208, 1995). Furthermore, patients with chromosome 5 and 7 abnormalities have worse overall survival, relapse incidence, and transplant-related mortality than patients with either chromosome 5 or chromosome 7 abnormalities (van der Straaten et al., Haematologica, 90: 1339-1345, 2005).
[0046] To date, several types of small molecule compounds that inhibit TTK activity have been developed or identified. These small molecule compounds can be divided into four broad groups. The first group are compounds with N-phenylpyrimidin-2-amine scaffolds, which include Reversine, MPI-0479605, Mps1 -IN-3, AZ 3146, CC-671 , BOS-172722, Mps1- IN-2, NTRC 0066-0, and NMS-P715. The second group are compounds with N- phenylpyridine scaffolds, which include TC Mps112, Mps1-IN-1 , and CCT251455. The third group are compounds with 3-phenylindazole scaffolds, which include SP600125, CFI- 400936, and CFI-401870. The fourth group are compounds with five-membered bridged sixmembered heterocyclic scaffolds, which include Mps-BAY1 , Mps-BAY2a, Mps-BAY2b, BAY 1161909, BAY 1217389, CFI-402257, PF-7006, and PF-3837. TTK inhibitors have been tested in combination with microtubule-targeting agents to increase chromosomal separation errors and kill cancer cells more efficiently. For example, CC-671 (a highly selective inhibitor of TTK and CLK2) was found to inhibit the drug efflux activity of ABCG2 in lung cancer cells, thus increasing the level of intracellular chemotherapy and potentially improving the efficacy of chemotherapy in lung cancer (Wu et al., Cancer Science, 1 11 (8): 2872, 2020). Another group developed a TTK small molecule inhibitor, Mps1 -IN-3, which caused mitotic abnormalities in glioblastoma cells, and the combination of Mps1 -IN-3 with vincristine increased aneuploidy and cell death (Tannous et al., Journal of the National Cancer Institute, 105(17): 1322-1331 , 2013). Currently, five small molecule TTK inhibitors are in clinical trials: BAY-1217389 (NCT02366949), BAY-1 161909 (NCT02138812), BOS-172722 (NCT03329494), CFI-402257 (NCT02792465, NCT03568422), and S-81694
(NCT03411 161 ). All five inhibitors are being assessed in combination with paclitaxel, as this combination increased cancer sensitivity and mitigated side effects due to the reduced dosage used for the combination.
[0047] In one embodiment, the disclosed method comprises administering a TTKi to a subject in need thereof, wherein the TTKi is selected from a group consisting of CFI-402257, S-81694 (see WO2009156315A1 ), BAY-1217389 (see WO2014131738A2), BOS-172722 (see W02014037750A1 ), CC-671 (see WO2014113429A2), OSU-13 (see Wengner et al., Mol Cancer Ther, 15(4): 583-92, 2016), VRN-081569 (see Jung et al., Proceedings of the AACR Annual Meeting, Philadelphia (PA): AACR; Cancer Res 2021 ; 81 (13_Suppl): Abstract nr LB119), Empesertib (see WO2013087579A1 ), BAL-0891 (see Lane et al., Annals of Oncology, 33(S1 ): Abstract nr 42P, 2022), CCT-251455 (see WO2012123745A1 ), CFI- 401870 (see WO2013053051 A1 ), MPI-0479605 (see WO20101 11406A2), and NTRC-0066- 0 (see WO2015155042A1 ). Recently, an orally bioavailable, highly specific, and potent small molecule inhibitor of TTK (CFI-402257) has been described.95 96 Toxicology studies of CFI- 402257 in rodents and dogs showed no evidence of overt toxicity.96 Importantly, CFI-402257 has shown promising activity against colon, ovarian, hepatocellular carcinoma, and breast cancer and is being studied in various solid malignancies (NCT05251714, NCT03568422, and NCT02792465).1318566097 TTK is overexpressed in high-risk MN including those with TP53mut, CK, and in relapsed/ refractory MN. CFI-402257 readily and selectively induces apoptosis and reduced clonogenic potential in bone marrow mononuclear cells (BMMC) of TP53mut AML compared to TP53wt AML and healthy donors.
[0048] The “3+7” regimen (3 days of daunorubicin + 7 days of cytarabine), developed in the late 1970s, was the standard of care for nearly 40 years, producing estimated 5-year survivals of 30% to 35% in younger patients (age <60 years) and 10%-15% in older patients (age >60 years). While the clinical trials that led to the approval of the “3+7” regimen were conducted in a highly selective patient population, broad application of this intensive chemotherapy regimen was subsequently not well tolerated in older patients with multiple comorbidities (e.g., hypertension, diabetes, cardiac hypertension, ect...). Addition of other drugs and intensification of the cytarabine dose in the “3+7” regimen have failed to improve outcomes for patients (Preisler et al., Blood, 69(5): 1441 -1449, 1987). Current AML management relies largely on intensive chemotherapy and allogenic hematopoietic stem cell transplantation (HSCT) for younger patients who can tolerate intensive treatments (Dombret et al., Blood, 127(1 ): 53-61 , 2016). Intensive chemotherapy includes high dose cytarabine (HIDAC), which is now considered the standard of care for consolidation in younger patients with AML (Mayer et al., N Engl J Med, 331 : 896-903, 1994). In younger patients, complete remission (CR) rates of >80% may be reached, with 5-year overall survival (OS) -40%. In older patients, the use of hypomethylating agents has improved median and short-term OS but has not translated into improved cure rates, which remain disappointingly low.
[0049] Recent clinical innovation in AML treatment includes small molecule-targeted therapies, such as FLT3 and IDH inhibitors, and the BCL-2 inhibitor venetoclax. FLT3 mutations are molecular abnormalities present in 25-30% of AML patients. These abnormalities are associated with worse OS outcomes, regardless of cytogenetic risk. Midostaurin is an oral tyrosine kinase inhibitor that has demonstrated efficacy in inhibiting this abnormal gene. A reduction of peripheral circulating blasts was demonstrated in 7 of 20 patients with relapsed FLT3+ AML treated with single-agent Midostaurin (Kottaridis et al., Blood, 98(6): 1752-1759, 2001 ).
[0050] In an embodiment, the method disclosed herein comprises administering at least one additional therapeutic agent in combination with the TTKi. The additional therapeutic agent may consist of cydarabine, azacitidine, daunorubicin, decitabine, a FLT3 inhibitor, an IDH inhibitor, avapritinib, dasatinib, venetoclax, navitoclax, obatoclax, oblimersen sodium, oblimersen magrolimab (anti-CD47 monoclonal antibody), 6-mercaptopurine-methotrexate, ATRA, arsenic trioxide, idarubicin, gemtuzumab ozogamicin, fludarabine, filgrastim, and APR246. The additional therapeutic may also comprise a stem cell transplant.
[0051] Described herein is a method of restoring venetoclax sensitivity in venetoclax - resistant cells in a subject, said method comprising administering a TTKi to the subject. Intrinsic apoptosis relies on the balance between pro- and anti-apoptotic proteins inducing mitochondrial outer membrane permeabilization (MOMP), ultimately leading to caspasedependent cell death. In response to apoptotic stimuli, BAX and BAK form pores in the mitochondrial membrane, inducing mitochondrial outer membrane permeabilization (MOMP). This phenomenon is increased by the members of the BCL-2 protein family containing a single BH3 domain named “BH3-only proteins”, which have a pro-apoptotic role (BIM, NOXA, PUMA, BID). Conversely, MOMP is blocked by a series of proteins that have an anti- apoptotic role including BCL2, BCL-XL, and MCL1 . BCL2 is often overexpressed in AML cells, and is associated with poor prognosis and resistance to chemotherapy (Campos et al., Blood, 81 : 3091-3096, 1993). In another embodiment, the disclosed method comprises administering a BCL-2 inhibitor, wherein the BCL-2 inhibitor is selected from the group consisting of ABBV-453, ABBV-623, BCL-201 , LOXO-338, LP-108, TQB3909, ZN-d5, LP- 118, VOB560 (S65487), AZD0466, APG 2575, bcl-2 antisense oligodeoxynucleotide G3139, APG-1252, BGB-11417, GDC-0199, or venetoclax.
[0052] The rationale behind BCL-2 inhibitors is to induce intrinsic apoptosis by blocking anti-apoptotic proteins. The BCL-2 inhibitor venetoclax has undergone clinical trials in combination with hypomethylating agent azacitidine, and patients receiving the combination treatment exhibited better overall survival compared to patients that received azacitidine alone (DiNardo et al., Blood, 130(1 ): 2628, 2017). Mutations in particular genes can influence venetoclax efficacy in AML patients. CRISPR-Cas9 screens have consistently identified BAK, BAX, PUMA, and NOXA, as well as TP53 target genes as crucial regulators of venetoclast activity in vitro (Fischer, Oncogene, 36: 3943-3956, 2017).
EXAMPLES
[0053] Given the association of TP53mut with poor survival in nearly all cancers91 92 including MN,5 35 it is commonly presumed that TP53mut rnay also portend poor survival in CCUS. However, there is a lack of consensus if TP53mut is independently associated with poor survival in CCUS. In a population study of 873 CCUS patients, TP53mutwas highly predictive for subsequent MN (positive predictive value 0.82-0.9).41 In contrast, two population studies that included >400,000 participants each, did not find TP53mut as an adverse-risk factor for subsequent leukemia.910
[0054] In a Mayo Clinic cohort of 173 CCUS patients (36 TP53mut, 137 TP53wt), survival was comparable in TP53mut and TP53wt CCUS.11 While 5 (14%) TP53mut CCUS progressed to MN (median time to progression: 13.5 months), the remainder tolerated the presence of the clone without progression. Survival of TP53mut MDS was significantly shorter than TP53mut CCUS as expected.
[0055] The presence of TP53mut clones suggests high-risk of future MN, but additional cell-intrinsic and extrinsic factors are necessary to drive progression to myeloid neoplasm. Leukemic transformation is a clinically significant event as the survival of TP53mut MN is dismal compared to the CCUS counterpart. Recognition of the collaborating alterations will lead to early diagnosis and opportunity to intervene, improving outcomes.
[0056] Example 1 : Characterization of the sequences of genomic and transcriptomic alterations that preclude leukemic transformation of TP53mut CCUS.
[0057] In premalignant TP53mut HSC, loss of TP53 is followed by TTK overexpression and acquisition of cytogenetic abnormalities — resulting in leukemic progression. Using a combination of genomic and transcriptomic approaches, the development of aneuploidy in TP53-deficient cells as the leukemia-initiating event will be demonstrated. Differentially expressed TTK in TP53-deficient cells will be identified and validated. Finally, TTKi will lead to selective elimination of aneuploid cells, decreasing the risk of leukemic transformation.
[0058] It has been reported in a UK Biobank study that deletion 5q was the only copy number alteration (CNA) associated with a higher risk of both MDS and AML.10 In a large cohort of 213 cytopenic patients harboring TP53mut (40 CCUS, 173 had myelodysplastic syndrome with <5% blasts) treated at Mayo Clinic/SA-MDS, cytogenetic abnormality was the only factor predicting shorter survival independently (Figure 1 A). In contrast, diagnostic dysplasia or biallelic TP53 loss were not independent predictors. Moreover, deletion of chromosomes 5q and/or 7q, but not the non-recurrent cytogenetic abnormalities, were associated with a larger TP53mut clone size (Figure 1 B-D). These data follow a deterministic pattern, with abnormalities in chromosomes 5 and 7 being the early events in leukemic transformation. Deletion 5q appears to particularly serve as an early leukemia initiating event.
[0059] Taken together, the Figure 1 data suggests that the acquisition of aneuploidy may follow deterministic patterns with abnormalities of chromosomes 5 and 7 being the early events in leukemic transformation. Deletion 5q in particular appears to be an early leukemia initiating event.
[0060] Additional Approaches
[0061] Despite the broad consensus as to TP53mut MN being associated with poor survival, there is an active debate as to how TP53mut MN is defined.3535 88108 The discrepancies arise at least in part due to an inherent inability of the bulk sequencing techniques to accurately assign allelic status and establish ‘true’ loss of TP53 function.4 87109 The current empiric variance allele frequency (VAF) cutoffs are neither rooted in biology nor an adequate surrogate for the allelic status, as demonstrated by a recent study.110 Moreover, the deterministic pattern of genomic changes immediately preceding leukemic transformation is not known, and while analysis of publicly available data strongly suggests TTK overexpression in MN, TTK expression in TP53mut CCUS has not been characterized. Finally, the feasibility of targeting SAC downstream to TP53 with the aim of preventing the progression of TP53mut CCUS to TP53mut MN has not been attempted.
[0062] Proposed herein is a comprehensive and serial comparison of genetic, genomic, and transcriptomic alterations between progressive and non-progressive TP53mut CCUS. Cell cycle and SAC genes will be serially quantified, including TTK before and after leukemic transformation. Finally, demonstration that genetic or pharmacological inhibition of TTK eliminates aneuploid cells will provide evidence to evaluate TTKi as a preventive strategy.
[0063] First, the genomic alterations associated with leukemic transformation in TP53mut CClIS will be defined. The primary goal of this experiment is to determine if haploinsufficiency of chromosomes 5 and 7 are independently associated with an increased risk of progression to TP53mut MN. Whole genome sequencing (WGS) profile of the enriched CD34+/CD38- HSCs will be performed for progressive and non-progressive TP53mut CCUS (n=15 each) at up to 5 timepoints (at TP53mut CCUS diagnosis, up to 3 interval samples, and at the last follow up for non-progressive TP53mut CCUS and TP53mut MN diagnosis for progressive TP53mut CCUS). For WGS, 300 ng of genomic DNA will be used to create PCR- Free libraries using the standard DNA PCR-Free Prep Tagmentation Workflow (Illumina) to minimize coverage-bias. After quality control, libraries will be sequenced at an average coverage >1 OOx that is expected to identify nearly 100% of CNA that could be identified on the standard cytogenetic techniques.111 Bioinformatic analyses will be performed in collaboration with Mayo Clinic and SAHMRI Data Science teams. Briefly, FASTQ files will be aligned to the hg38 reference genome using bwa-mem (v.0.7.10) and realignment will be performed using GATK (v4).112To identify single nucleotide variants (SNV), insertions/deletions (indels), and structural variants (SV) the workflow uses a combination of Mutect2,113 Strelka2,114 and Manta,115 respectively. Copy number alternations (CNA) will be detected using Pattern Copy Number Variation.116 Detection of chromothripsis will be based on a combination of SV and CNA data.117 Identified variants will be annotated using BioR framework118 using ClinVar, Human Gene Mutation Database, Mayo Biobank, and Exome Aggregation Consortium population frequencies. Primary readout from WSG experiment will be the characteristics TP53mut, VAF, co-mutation pattern, and the association with CAN, including chromosome 5 and 7 CAN. Finally, the subclonal architecture of CCUS progressing to MN will be inferred by using ClonEvol119 and the clonal evolution across timepoints will be visualized by fish plot.
[0064] Next, the cell-of-origin for the leukemic transformation will be defined, and serial genomic changes before the leukemic transformation will be characterized. The primary goal of this experiment is to establish that colocalization of biallelic TP53mut clone with chromosomal 5 and/or 7 abnormalities in the HSC and progenitor cells. Samples used in the prior experiment will undergo simultaneous single-cell DNA sequencing using the Tapestri Platform as described in detail,120 except that the most promising CNA targets identified by WGS will be included in the customized panel. Briefly, bioinformatics analyses will be performed using Tapestri Pipeline to perform adapter trimming, sequence alignment, barcode correction, cell finding, and variant calling (using GATK 4.1.7 /Haplotype caller). Generated files were then processed with Tapestri Insights v3.1 (Mission Bio) in collaboration with Patnaik Lab as described in detail.120
[0065] Third, the transcripomic alterations in the SAC pathway associated with leukemic transformation will be defined. The primary goal of this experiment is to quantify transcriptomic alterations in the SAC components associated with progression of TP53mut CClIS. 1 x107 cryopreserved BMMC from progressive and non-progressive TP53mut CUS (n- 15 each at 3 timepoints) will be used. Enriched CD34+/CD38- HSCs (expected 1 -2% of the population) will be isolated as above and total RNA (25-30 ng) will be isolated using standard protocol (Aurum Total RNA Kit, Bio-Rad). Multiplex real time PCR will be performed using a customized version of Cell Cycle Tier2 Panel, PrimePCR™ Assays, Bio-Rad) that includes the known SAC components and analyzed using CFX Maestro Software using the standard configurations. Most differentially expressed genes between the two cohorts will be validated using individual quantitative RT-PCR using different primers.
[0066] Next, the efficacy of TTKi in selectively eliminating TP53mut clones will be determined. The primary endpoint of this experiment is to quantify the reduction in the percentage of TP53mut cells following treatment with CFI-402257 or other TTKi as described herein. The secondary outcome is to exclude the induction of aneuploidy in TP53wt cells via karyotyping. 3x107 cryopreserved BMMC from progressive TP53mut CCUS cases (n=7) before leukemic transformation will be obtained. Cells will be cultured in the presence of vehicle control or increasing concentration of 10 nM, 30 nM, and 100 nM CFI-402257, or other TTKi, for 72 hours. After washing, the cells will be plated in MethoCult for CFU assay as described and total number of colonies determined at 10 days. Next, up to 100 colonies will be harvested and washed to remove the methylcellulose. Colonies will be sequenced for TP53 and the proportion of colonies with TP53mut will be determined and compared to vehicle control. Next, TP53wt colonies will further be evaluated using karyotypic analysis as described.121
[0067] For the first and second experiments in the Additional Approaches, the standard statistical analysis is not applicable given the high-throughput nature of the technique. The use of case-control and sequential sampling approach allows to track dynamic changes in SNV/CNA, as the subsequent samples will be compared to the baseline sample from the same patient. RT-PCR will be performed in triplicates and mean will be used for subsequent analysis. Fold-change compared to control will be used for reporting and Benjamini- Hochberg False Discovery Rate will be used to correct for multiple testing. Inclusion of 15 patients/group will allow power (1 -p) of 90% with two-sided significance level (a) of 5% to assess for >1.5-fold change compared to controls. CFU assays will be performed in technical triplicate with the average used for analysis. Assuming 30% variance and 50% decrease in TP53mut colonies using the lowest concertation, inclusion of 7 paired cases before and after treatment will allow detection of difference with 90% power and 2-sided a of 5%.
[0068] A significantly higher proportion of progressive TP53mut CCUS are expected to harbor CNA of chromosomes 5 and/or 7 prior to leukemic transformation compared to the non-progressive cases. Single-cell sequencing will confirm colocalization of biallelic TP53mut with chromosome 5 and/or 7 alterations in the HSC and progenitor cells before leukemic transformation. Concurrently performed WGS will confirm TP53mut VAF and the number of co-mutations to be poor surrogates of the transformation risk. The third set of experiments will demonstrate alterations of the expression of the SAC genes, including the overexpression of TTK, in progressive CCUS that will be validated using the single-gene assay. Finally, in the fourth set of experiments, paired analysis of TP53mut CCUS samples before and following treatment with CFI-402257, or other TTKi as described herein, will demonstrate dose-dependent decrease in percentage of TP53mut colonies — but not TP53wt colonies — compared to vehicle control, suggesting the selective activity of CFI-402257 and other TTKi in TP53mut CCUS.
[0069] For CNA analyses, the tissue-normal comparator approach is not feasible due to the unavailability of the paired normal (e.g., skin biopsy). The ‘tumor only’ WGS approach is validated and identifies 100% CNA detectable by other cytogenetic methods and is expected to reduce analytical complexity and cost without compromising the conclusions.111 For single-cell analyses, the proposed targets of interest are based on the prevalent knowledge of myeloid biology as well as the preliminary observations. However, given the inclusion of diverse primary malignancies and treatments received, it is likely that novel targets of interest may emerge. Thus, the concurrent use of WGS will allow a non-biased approach and inform the choice of genes/CNA to be included in the single-cell sequencing panel. The choice of multiplex RT-PCR over single-cell or bulk RNA sequencing (RNA-seq) was based on the predicted RNA availability of <50 ng (as opposed to >100 ng needed for RNA-seq) from TP53mut CCUS BMMC. The choice of genes in the customized panel is based on the current knowledge of SAC and other cell cycle components and therefore is subject to bias. Inclusion of up to 96 cell cycle genes, however, will allow for a comprehensive analysis of the cell cycle and SAC. Appropriateness of the approach is further validated given that a vast majority of the differentially expressed genes in TP53mut cancers belonged to the cell cycle/SAC pathways.58 59 Based on the current understanding of the mechanism of TTKi, it is expected that CFI-402257 and other TTKi as described herein will selectively eliminate aneuploid downstream to TP53. Therefore, while conceivable, it is unlikely to induce undesired aneuploidy in TP53wt cells. The available safety data from murine and early human studies strongly argues against the possibility. CFI-402257 was associated with typical side effects including cytopenia, but no second malignancies have not been reported.13-15566097122 Nevertheless, induction of aneuploidy in TP53wt cells is critical and will be carefully excluded as above.
[0070] Example 2: Evaluation of mechanisms of TTKi-mediated anti-leukemic activity in TP53mut MN.
[0071] Overexpression of TTK, anti-leukemic activity of a highly selective TTKi CFI- 402257, and mechanisms thereof have been evaluated and will be confirmed in a large cohort of newly diagnosed TP53mut MN. The anti-leukemic activity of additional TTKi as described herein will also be confirmed. A novel model will be used to quantify the impact of TP53 and ploidy status on TTKi-mediated apoptosis. Using a combination of targeted and unbiased methods, how TTKi restores sensitivity to venetoclax in highly venetoclax resistant TP53mut MN will be characterized.
[0072] Example 2 validates senescent-associated myeloid cytokines, aneuploidy, and SAC dysfunction as the drivers for leukemogenesis and identify strategies to prevent and treat TP53mut MN.
[0073] TKK is overexpressed in all high-risk MN, including TP53mut MN, AML with CK, and relapsed/refractory AML. Analysis of the Leukemia MILE93 database showed that TTK is also overexpressed in MDS (n=228) compared to healthy controls (n=989, P<0.001 , Figure 2A), though samples were not further stratified by TP53 status. Analysis of the BEAT AML database94 (n=591 , 41 .6% diploid, 35.9% non-CK, 22.7% CK) showed TTK expression to be progressively higher with increasing chromosomal abnormality burden (Figure 2B, C). TTK was overexpressed in TP53mut (n=27) compared to TP53wt (n=1 19) AML (P=0.0008, Figure 2D). TTK was overexpressed in relapsed/refractory AML (n=2018) compared to newly diagnosed AML (n=2218, Figure 2E). Finally, screening of MN cell lines showed that TTK is overexpressed in TP53mut compared to TP53wt MN (Figure 2F).
[0074] Taken together, the Figure 2 data demonstrates that TTK is overexpressed in all high-risk MN, including TP53mut MN, AML with CK, and relapsed/refractory AML. Screened myeloid cell lines are representative of TP53mut MN and will facilitate mechanistic research.
[0075] An orally bioavailable, highly specific, and potent inhibitor of TTK (CFI-402257) has been previously described.95 96 Toxicology studies of CFI-402257 in rodents and dogs showed no evidence of overt toxicity.96 Importantly, CFI-402257 has shown promising activity against colon, ovarian, hepatocellular carcinoma, and breast cancer and is being studied in various solid malignancies (NCT05251714, NCT03568422, and NCT02792465).13’ 18, 56, 60, 97 pirst, CH-402257 was assessed to determine activity against TP53mut AML. CFI- 402257 induced dose-dependent apoptosis and reduced clonogenic potential in bone marrow mononuclear (BMMC) of TP53mut AML (n=3) but not from BMMC of TP53wt AML (n=5) or from healthy donors (n=4, Figure 3). Next, it was confirmed that TP53mut myeloid cell lines represent a valid model for mechanistic experiments by confirming dose-dependent inhibition of cell proliferation and clonogenic potential (representative data for TP53mut U937 and TP53wt OCI-AML3 shown, Figure 4A, B). CFI-402257 reduced clonogenic potential of all TP53mut cell lines tested (representative U937 data, Figure 4C). Available studies suggest diverse — and somewhat contrary — mechanisms of anti-cancer activity of TTK inhibitors.131518 56 TP53mut myeloid cell lines were treated with CFI-402257 with GI25 (sat 48 hours) of CFI- 402257. Long-term treatment with GI25 dose induced profound aneuploidy and apoptosis in the absence of appreciable induction of polyploidy (representative U937 data, Figure 4D-E). Finally, additional TTK inhibitor MPI-0479605 showed similar anti-leukemic activity, suggesting that the effect seen is secondary to TTK inhibition and not an off-target effect (data not shown). These results suggest overall robust anti-leukemic activity following TTKi.
[0076] Highly venetoclax resistant TP53mut U937 cells were treated in the absence or presence of GI25 dose (<15% apoptosis as single-agent) of CFI-402257 for 36 hours. Cotreatment led to >10-fold decrease (3665 vs. 348 nM, P<0.001 ) in GI50 for venetoclax, suggesting restoration of sensitivity (Figure 5). Therefore, at a low concentration that does not induce significant apoptosis on its own, TTKi restored sensitivity to venetoclax in highly VEN-r myeloid cells. These results suggest that at low concentrations that do not induce significant apoptosis on its own, TTKi restored sensitivity to venetoclax in highly VEN-r myeloid cells. Collectively, these results highlight SAC dysfunction as a therapeutic vulnerability in TP53mut AML and suggest that TTKi may demonstrate anti-leukemia activity against TP53mut MN both as a single-agent and in combination with BCL2-inhibitor venetoclax.
[0077] Additional Approaches
[0078] While the use of mitotic inhibitors in MN has historically been limited, novel agents targeting SAC dysfunction are currently being investigated. Inhibition of polo-like kinase (PLK)-4, a master regulator of centriole biogenesis, is effective in AML.55123124 In TP53mut AML, PLK-4 inhibition exerts anti-leukemia effect primarily via senescence, and the role of apoptosis remains to be clarified.124125 Further, the induction of polyploidy was thought to be critical to PLK4 inhibitor-mediated apoptosis.125 In contrast, TTK inhibitor CFI-402257 briskly induced apoptosis in TP53mut AML that was highly disproportional to polyploidy induction. Finally, whether TTKi restores sensitivity to routinely used AML treatment venetoclax, and mechanism thereof, have not been studied. [0079] First, TTK overexpression will be validated, and the efficacy of CFI-402257 and other TTKi described herein will be investigated in a large cohort of TP53mut MN. Next, a combination of genetic and pharmacological approaches will be used to confirm that the antileukemic effects seen following treatment with CFI-402257 or other TTKi are indeed due to TTKi and not off-target effects. Third, whether TP53mut non-CK patients would benefit from TTKi is not known. Therefore, TTKi effects will be studied, stratified by TP53- and ploidy status. Next, TTK exerts proliferative and anti-apoptotic effect via activation of the PI3K-AKT- mTOR pathway.18 While a majority of AML harbor constitutive activation of PI3K/AKT signaling, targeting the pathway has been challenging due to the paradoxical activation.126 Therefore, demonstration of TTKi-mediated inhibition of the PI3K-AKT-mTOR signaling may allow synergetic strategy design. Finally, a proposed mechanism of TTK-mediated cell survival independent of its role in the SAC involves mitochondrial localization — suggesting its interaction with BCL2 pathway proteins.127 Whether TTKi leads to mitochondrial outer membrane permeabilization (MOMP) will be assessed, which would restore sensitivity in VEN-r TP53mut MN.
[0080] First, TKK overexpression and the efficacy of TTKi in TP53mut MN patient samples will be validated. The primary goals of these experiments are to validate (i) TTK overexpression and (ii) anti-leukemia activity of CFI-402257 and other TTKi in newly diagnosed TP53mut MDS and AML. The secondary goal is to confirm that anti-leukemia activity exerted by CFI-402257 and other TTKi is secondary to TTKi. Cryopreserved BMMC from newly diagnosed TP53mut MDS and AML (n=15 each) and age- and sex- matched healthy donors (n=15) will be obtained. TTK mRNA and protein expression will be measured using qRT-PCR and western blot respectively and compared to healthy donor BMMC. Next, BMMC from healthy donors and TP53mut MN (n=10 each) will be treated with vehicle control or increasing concentrations of CFI-402257 or other TTKi for 36 hours and apoptosis and clonogenic potential quantified as described. The expression of TTK will be correlated to apoptosis and CFU potential. Other selective TTKi will be evaluated [empesertib (Bayer 1161909), 128 BAY-1217389,128 NMS-715,16 BOS172722, 129 and MPI-047960515 62] in TP53mut/nu" cell lines using cell proliferation, apoptosis, and clonogenic potential. Next, to confirm that inhibition of TTK is responsible for the anti-leukemic activity in MN, the above experiments will be repeated following small hairpin (sh)-RNA mediated knockdown of TTK in MOLM-16 cells that are TP53mutand robustly expresses TTK.63
[0081] Next, the impact of TP53-status and genomic instability on the efficacy of TTKi will be characterized. The primary goal of these experiments is to distinguish TTKi-mediated anti-leukemic activity stratified by TP53 and ploidy status. For this experiment, TP53- isogenic cell lines of MV-4-11 was created using CRISPR-Cas9 mediated knockout (TP53KO) using the lentiviral approach. Briefly, TP53 or no target control (NTC) single guide (sg)-RNAs were designed, ligated to LentiCRISPRv2-mCherry plasmid, and co-transfected into HEK293T cells with the packaging plasmids pMD2.G and psPAX2 (AddGene #12259 and #12260). Lentiviral production and transduction was performed using standard protocol.130 Following 5 days of culture, mCherry was assessed using fluorescence microscopy and sorted via fluorescence-activated cell sorting (FACS). Similarly, to create the isogenic TP53 cell line using the knockdown approach, small hairpin (sh)-RNA targeting TP53 (Mission shRNA), and 1 non-target control (NTC) will be cloned into pLKO.1_U6- shRNA: hPGK-Puro-CMV-tGFP (Millipore Sigma) will be used. Isogenic parental and TP53- deficient MV-4-1 1 cells will be used for subsequent experiments. To generate an induced model of polyploidy, near euploid MV-4-11 cells will be treated with 0.75 pM cytochalasin D (ThermoFisher) for 18 hours.15 Cells will be washed and rested for 24 hours. Induction of polyploidy will be confirmed using Hoechst 33342. All 4 groups will be treated with increasing concentrations of CFI-402257 or other TTKi for 1 -3 days and cell proliferation, apoptosis, and CFU potential assessed as above. To validate that the readouts following CFI-402257 or other TTKi are indeed secondary to TTKi, the experiments will be repeated using TTKKD/TTKKO approaches. Finally, the preliminary data suggests a novel mechanism of CFI- 402257- or other TTKi-mediated apoptosis in the absence of polyploidy induction. These findings will be confirmed in the panel of TP53mut/nu" cell lines (MOLM-16, LI937, and THP-1). Following treatment with 0, 10, or 100 nM CFI-402257 or other TTKi for 72 hours, induction of aneuploidy and polyploidy will be determined using Hoechst staining and the 2N, 4N, >4N cells will be isolated using FACS. Early and late apoptotic cells will be quantified using activated BAX/BAK and cytochrome C release, MOMP, and caspase cascade activation by flow cytometry.
[0082] Third, the mechanism of TTKi-mediated anti-leukemic activity in TP53mut MN will be determined. The primary goal of this experiment is to demonstrate that TTKi mediates antileukemic activity via the inhibition of PI3K-AKT signaling, resulting in decreased glycolysis. To that end, TP53mut MN cells will be assessed to determine whether TTKi-mediated antileukemic activity is secondary to the dose-dependent inhibition of PI3K-AKT as measured by decreased phosphorylation and caspase activation will be evaluated.18 Inhibition of glycolysis will be demonstrated via pre- and post-treatment measurements of the OCR and the ECAR. Hypothesis-driven assessment of the PI3K-AKT pathway will be complemented by an unbiased whole transcriptomics approach. CD34+ enriched BMMC of treatment naive TP53mut MDS and AML (n=7 each) will be obtained and treated with IC50 of CFI-402257 or other TTKi for O, 6, and 12 hours. Total RNA will be isolated and RNA-sequencing experiment and analyses performed and analyzed.47131 Most differentially expressed genes will be validated orthogonally using qRT-PCR and western blot in a larger cohort (n=15). Critical nodes in the most significant pathways enriched in the gene set analysis47 will be comprehensively interrogated for activation/inhibition following CFI-402257 or other TTKi treatment and validated using TTKKD and TTKKO approaches.
[0083] Next, the mechanism of TTKi-mediated resensitization to venetoclax in TP53mut MN will be determined. The primary outcome of this experiment is to confirm that TTKi restores sensitivity to venetoclax in VEN-r TP53mut AML. The secondary outcome is to characterize the mechanism of restoration of venetoclax sensitivity in VEN-r TP53mut AML. First, TTK mRNA and protein expression will be measured in VEN-r TP53mut AML and compared to newly diagnosed TP53mutAML (n=15 each). Next, TP53mut AML BMMC will be treated with increasing concentrations of venetoclax for 36 hours in the presence or absence of GI25 concentration of CFI-402257 or other TTKi, and assessed for induction of apoptosis and CFU potential. Next, to characterize the mechanisms of CFI-402257- or other TTKi- mediated resensitization of TP53mut VEN-r cells, U937 cells will be treated with increasing concentration of venetoclax in the absence or presence of GI25 of CFI-402257 or other TTKi for 0, 2, 6, and 12 hours. Upon completion of the experiment, a comprehensive evaluation of mitochondrial pathway proteins, MOMP, BAX and BAK activation (G317-2, Fisher Scientific), and Cytochrome c Release Assay (Abeam, cat# ab6531 1 ) will be performed. Finally, BCL-2 independent effect on the inhibition of glycolysis and oxidative phosphorylation will be studied comprehensively.
[0084] For the first set of experiments in the Additional Approaches, assuming 1 .5-fold higher expression of TTK in TP53mut MDS and AML compared to matched controls, the inclusion of 15 cases/subgroup will allow power (1 -p) of 90% with two-sided significance level (a) of 5%. Apoptosis and CFU assays will be performed in technical triplicate with the average used for analysis. Based on preliminary observations, addition of CFI-402257 or other TTKi will result in at least 25% higher apoptosis and reduced clonogenic potential in TP53mut MN compared to matched controls. Therefore, inclusion of 10 cases/group will allow power (1 -p) of 90% with two-sided significance level (a) of 5%. Cell line experiments will be performed in triplicates and each experiment will be performed at least three times and the representative set will be used for subsequent studies, inference, and publication.
[0085] Collectively, these experiments will establish efficacy of CFI-402257 or other TTKi and the mechanism thereof. Selective apoptosis and reduced clonogenic potential in TP53mut MDS and AML samples compared to healthy donors will demonstrate therapeutic window and inform subsequent dosing strategy. Understanding the mechanisms of activity as single agent as well as in combination with venetoclax will help devise synergetic strategies and identify patients at risk for developing resistance to TTKi. TP53mut MN are considered a single entity5 and share biological characteristics regardless of the bone marrow blast percentage.3 Therefore, differences in TTK expression and/or sensitivity to TTKi based on BM blast are not expected. In the event of differential expression and/or sensitivity, subsequent analyses will be performed stratified according to morphological subcategories.5 Given the high specificity of CFI-402257, TTKKO and TTKKD are expected to confirm the antileukemic activity seen with the panel of TTKi. Discrepancy in anti-leukemic activity of CFI- 402257 or other TTKi and TTK knockdown will suggest an off-target effect of CFI-402257 or other TTKi that will be interrogated using broad profiling of kinases with a particular emphasis on cell cycle regulators.56 Third, TTKi is expected to act downstream to TP53 and aneuploidy and not the TP53-status will be determinant of its efficacy, suggesting its use in TP53mut CK and a minority of TP53wt MN with CK.351109 In MN, VEN-r develops via a wide array of mechanisms with upregulation of anti-apoptotic BCL2 family member proteins and metabolic reprogramming appear to the best common mechanisms.64132133 In the event that neither of these mechanisms are involved in the restoration of venetoclax sensitivity, RNA- sequencing approach will be performed. Finally, while the preliminary evidence strongly suggests apoptosis as the most likely mechanism of anti-leukemic activity. In the event that apoptosis is not the dominant mechanism of cell death, non-apoptotic mechanisms including GAS-STING activation,13 senescence induction,124 necroptosis, and autophagy will be explored.
REFERENCES
1 . Kuykendall A, Duployez N, Boissel N, Lancet JE, Welch JS. Acute Myeloid Leukemia: The Good, the Bad, and the Ugly. American Society of Clinical Oncology Educational Book. 2018(38) :555-73. doi: 10.1200/edbk_199519. PubMed PMID: 30231330.
2. Grob T, Al Hinai ASA, Sanders MA, Kavelaars FG, Rijken M, Gradowska PL, Biemond BJ, Breems DA, Maertens J, van Marwijk Kooy M, Pabst T, de Weerdt O, Ossenkoppele GJ, van de Loosdrecht AA, Huis GA, Cornelissen JJ, Beverloo HB, Lowenberg B, Jongen- Lavrencic M, Valk PJM. Molecular characterization of mutant TP53 acute myeloid leukemia and high-risk myelodysplastic syndrome. Blood. 2022;139(15):2347-54. doi: 10.1182/blood.2021014472. PubMed PMID: 35108372.
3. Hiwase D, Hahn C, Tran ENH, Chhetri R, Baranwal A, Al-Kali A, Sharplin K, Ladon D, Hollins R, Greipp P. TP53 mutation in therapy-related myeloid neoplasm defines a distinct molecular subtype. Blood, The Journal of the American Society of Hematology. 2023;141 (9):1087-91.
4. Shah MV, Tran ENH, Shah S, Chhetri R, Baranwal A, Ladon D, Shultz C, Al-Kali A, Brown AL, Chen D. TP53 mutation variant allele frequency of> 10% is associated with poor prognosis in therapy-related myeloid neoplasms. Blood cancer journal. 2023;13(1 ):51 .
5. Arber DA, Orazi A, Hasserjian RP, Borowitz MJ, Calvo KR, Kvasnicka HM, Wang SA, Bagg A, Barbui T, Branford S, Bueso-Ramos CE, Cortes JE, Dal Cin P, DiNardo CD, Dombret H, Duncavage EJ, Ebert BL, Estey EH, Facchetti F, Foucar K, Gangat N, Gianelli U, Godley LA, Gokbuget N, Gotlib J, Hellstrom-Lindberg E, Hobbs GS, Hoffman R, Jabbour EJ, Kiladjian JJ, Larson RA, Le Beau MM, Loh ML, Lowenberg B, Macintyre E, Malcovati L, Mullighan CG, Niemeyer C, Odenike OM, Ogawa S, Orfao A, Papaemmanuil E, Passamonti F, Porkka K, Pui CH, Radich JP, Reiter A, Rozman M, Rudelius M, Savona MR, Schiffer CA, Schmitt-Graeff A, Shimamura A, Sierra J, Stock WA, Stone RM, Tallman MS, Thiele J, Tien HF, Tzankov A, Vannucchi AM, Vyas P, Wei AH, Weinberg OK, Wierzbowska A, Cazzola M, Dohner H, Tefferi A. International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data. Blood. 2022;140(1 1 ):1200-28. doi: 10.1182/blood.2022015850. PubMed PMID: 35767897; PMCID: PMC9479031.
6. Badar T, Atallah EL, Shallis RM, Patel AA, Sacchi De Camargo Correia G, Goldberg AD, Saliba A, Bewersdorf JP, Duvall AS, Bradshaw D, Abaza Y, Guru Murthy GS, Palmisiano N, Kota VK, Litzow MR. Comparable Survival of Treatment Naive TP53 Mutated Acute Myeloid Leukemia Treated with Hypomethylating Agent Compared to Hypomethylating Agent Plus Venetoclax Based Therapy. Blood. 2023;142(Supplement 1 ):592-. doi: 10.1182/blood- 2023-184626.
7. Baranwal A, Chhetri R, Yeung D, Clark M, Shah S, Litzow MR, Hogan WJ, Mangaonkar A, Alkhateeb HB, Singhal D. Factors predicting survival following alloSCT in patients with therapy-related AML and MDS: a multicenter study. Bone Marrow Transplantation. 2023:1 -8.
8. Desai P, Mencia-Trinchant N, Savenkov O, Simon MS, Cheang G, Lee S, Samuel M, Ritchie EK, Guzman ML, Ballman KV, Roboz GJ, Hassane DC. Somatic mutations precede acute myeloid leukemia years before diagnosis. Nat Med. 2018;24(7) :1015-23. Epub 20180709. doi: 10.1038/s41591 -018-0081 -z. PubMed PMID: 29988143; PMCID: PMC6849383.
9. Weeks LD, Niroula A, Neuberg D, Wong W, Lindsley RC, Luskin M, Berliner N, Stone RM, DeAngelo DJ, Soiffer R, Uddin MM, Griffin G, Vlasschaert C, Gibson CJ, Jaiswal S, Bick AG, Malcovati L, Natarajan P, Ebert BL. Prediction of risk for myeloid malignancy in clonal hematopoiesis. NEJM Evid. 2023;2(5):EVIDoa2200310. Epub 20230425. doi: 10.1056/evidoa2200310. PubMed PMID: 37483562; PMCID: PMC10361696.
10. Gu M, Kovilakam SC, Dunn WG, Marando L, Barcena C, Mohorianu I, Smith A, Kar SP, Fabre MA, Gerstung M, Cargo CA, Malcovati L, Quiros PM, Vassiliou GS. Multiparameter prediction of myeloid neoplasia risk. Nature Genetics. 2023 ;55(9): 1523-30. doi: 10.1038/S41588-023-01472-1 .
11 . Shah SN, Li M, Baranwal A, Chen D, He R, Alkhateeb HB, Tefferi A, Mangaonkar AA, Al- Kali A, Patnaik MS. Outcome of TP53-mutated CCUS and the risk of progression to myeloid neoplasms. American Society of Clinical Oncology; 2023.
12. Rodriguez-Meira A, Norfo R, Wen S, Chedeville AL, Rahman H, O’Sullivan J, Wang G, Louka E, Kretzschmar WW, Paterson A, Brierley C, Martin J-E, Demeule C, Bashton M, Sousos N, Moralli D, Subha Meem L, Carrelha J, Wu B, Hamblin A, Guermouche H, Pasquier F, Marzac C, Girodon F, Vainchenker W, Drummond M, Harrison C, Chapman JR, Pio I, Jacobsen SEW, Psaila B, Thongjuea S, Antony-Debre I, Mead AJ. Single-cell multi-omics identifies chronic inflammation as a driver of TP53-mutant leukemic evolution. Nature Genetics. 2023;55(9):1531 -41. doi: 10.1038/S41588-023-01480-1.
13. Chan CY-K, Chiu DK-C, Yuen VW-H, Law C-T, Wong BP-Y, Thu KL, Cescon DW, Soria-Bretones I, Cheu JW-S, Lee D, Tse AP-W, Zhang MS, Tan KV, Ng IO-L, Khong P-L, Yau TC-C, Bray MR, Mak TW, Wong CC-L. CFI-402257, a TTK inhibitor, effectively suppresses hepatocellular carcinoma. Proceedings of the National Academy of Sciences. 2022 ; 119(32):e21195141 19. doi: doi : 10.1073/pnas.21 195141 19.
14. Chandler BC, Moubadder L, Ritter CL, Liu M, Cameron M, Wilder-Romans K, Zhang A, Pesch AM, Michmerhuizen AR, Hirsh N, Androsiglio M, Ward T, Olsen E, Niknafs YS, Merajver S, Thomas DG, Brown PH, Lawrence TS, Nyati S, Pierce LJ, Chinnaiyan A, Speers C. TTK inhibition radiosensitizes basal-like breast cancer through impaired homologous recombination. The Journal of Clinical Investigation. 2020;130(2):958-73. doi: 10.1172/JC1130435.
15. Cohen-Sharir Y, McFarland JM, Abdusamad M, Marquis C, Bernhard SV, Kazachkova M, Tang H, Ippolito MR, Laue K, Zerbib J, Malaby HLH, Jones A, Stautmeister LM, Bockaj I, Wardenaar R, Lyons N, Nagaraja A, Bass AJ, Spierings DCJ, Foijer F, Beroukhim R, Santaguida S, Golub TR, Stumpff J, Storchova Z, Ben-David U. Aneuploidy renders cancer cells vulnerable to mitotic checkpoint inhibition. Nature. 2021 ;590(7846):486-91 . Epub 20210127. doi: 10.1038/s41586-020-031 14-6. PubMed PMID: 33505028; PMCID: PMC8262644.
16. Colombo R, Caldarelli M, Mennecozzi M, Giorgini ML, Sola F, Cappella P, Perrera C, Depaolini SR, Rusconi L, Cucchi U, Avanzi N, Bertrand JA, Bossi RT, Pesenti E, Galvani A, Isacchi A, Colotta F, Donati D, Moll J. Targeting the Mitotic Checkpoint for Cancer Therapy with NMS-P715, an Inhibitor of MPS1 Kinase. Cancer Research. 2010;70(24):10255-64. doi: 10.1158/0008-5472. Can-10-2101 .
17. Foijer F, Xie SZ, Simon JE, Bakker PL, Conte N, Davis SH, Kregel E, Jonkers J, Bradley A, Sorger PK. Chromosome instability induced by Mps1 and p53 mutation generates aggressive lymphomas exhibiting aneuploidy-induced stress. Proceedings of the National Academy of Sciences of the United States of America. 2014;111 (37): 13427-32. Epub 20140902. doi: 10.1073/pnas.14008921 11 . PubMed PMID: 25197064; PMCID: PMC4169945.
18. Huang H, Yang Y, Zhang W, Liu X, Yang G. TTK regulates proliferation and apoptosis of gastric cancer cells through the Akt-mTOR pathway. FEBS Open Bio. 2020;10(8):1542-9. doi: https://doi.Org/10.1002/2211 -5463.12909.
19. Pachis ST, Kops GJPL. Leader of the SAC: molecular mechanisms of Mps1/TTK regulation in mitosis. Open Biology. 2018;8(8):180109. doi: doi:10.1098/rsob.180109.
20. Haase D, Stevenson KE, Neuberg D, Maciejewski JP, Nazha A, Sekeres MA, Ebert BL, Garcia-Manero G, Haferlach C, Haferlach T, Kern W, Ogawa S, Nagata Y, Yoshida K, Graubert TA, Walter MJ, List AF, Komrokji RS, Padron E, Sallman D, Papaemmanuil E, Campbell PJ, Savona MR, Seegmiller A, Ades L, Fenaux P, Shih LY, Bowen D, Groves MJ, Tauro S, Fontenay M, Kosmider O, Bar-Natan M, Steensma D, Stone R, Heuser M, Thol F, Cazzola M, Malcovati L, Karsan A, Ganster C, Hellstrom-Lindberg E, Boultwood J, Pellagatti A, Santini V, Quek L, Vyas P, Tuchler H, Greenberg PL, Bejar R, International Working Group for MDSMPC. TP53 mutation status divides myelodysplastic syndromes with complex karyotypes into distinct prognostic subgroups. Leukemia. 2019;33(7):1747-58. Epub 201901 11. doi: 10.1038/s41375-018-0351 -2. PubMed PMID: 30635634; PMCID: PMC6609480.
21 . Shah MV, Chhetri R, Dholakia R, Kok CH, Gangat N, Alkhateeb HB, Al- Kali A, Patnaik MM, Baranwal A, Greipp PT, He R, Begna KH, Tiong IS, Wei AH, Hiwase D. Outcomes following venetoclax-based treatment in therapy-related myeloid neoplasms. Am J Hematol. 2022;97(8):1013-22. Epub 20220527. doi: 10.1002/ajh.26589. PubMed PMID: 35560061 ; PMCID: PMC9541522.
22. Therapeutics A. Aprea Therapeutics Announces Results of Primary Endpoint from Phase 3 Trial of Eprenetapopt in TP53 Mutant Myelodysplastic Syndromes (MDS) 2020 [cited 2024 1/16/2024], Available from: https://ir.aprea.com/news-releases/news-release- details/aprea-therapeutics-announces-results-primary-endpoint-phase-3.
23. Pharmaceuticals G. Gilead Statement on the Discontinuation of Magrolimab Study in AML with TP53 Mutations 2023 [cited 2024 1/16/2024], Available from: https://www.gilead.com/news-and-press/company-statements/gilead-statement-on-the- discontinuation-of-magrolimab-study-in-aml-with-tp53-mutations.
24. Stengel A, Kern W, Haferlach T, Meggendorfer M, Fasan A, Haferlach C. The impact of TP53 mutations and TP53 deletions on survival varies between AML, ALL, MDS and CLL: an analysis of 3307 cases. Leukemia. 2017;31 (3):705-1 1 . Epub 20160929. doi: 10.1038/leu.2016.263. PubMed PMID: 27680515.
25. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1 ):7-33. Epub 20220112. doi: 10.3322/caac.21708. PubMed PMID: 35020204.
26. Zhao Q, Ma P, Fu P, Wang J, Wang K, Chen L, Yang Y. Myelodysplastic Syndrome/Acute Myeloid Leukemia Following the Use of Poly-ADP Ribose Polymerase (PARP) Inhibitors: A Real-World Analysis of Postmarketing Surveillance Data. Frontiers in Pharmacology. 2022;13. doi: 10.3389/fphar.2022.912256.
27. Oliveira JL, Greipp PT, Rangan A, Jatoi A, Nguyen PL. Myeloid malignancies in cancer patients treated with poly(ADP-ribose) polymerase (PARP) inhibitors: a case series. Blood Cancer Journal. 2022;12(1 ):11 . doi: 10.1038/s41408-022-00607-7. 28. Martin JE, Khalife-Hachem S, Grinda T, Kfoury M, Garciaz S, Pasquier F, Vargaftig J, llzunov M, Belhabri A, Bertoli S, Cotteret S, Verge V, Renneville A, Rosselli F, Antony-Debre
I, Rouleau E, Salviat F, Caron O, Delaloge S, Pautier P, Etienne G, Recher C, Vey N, De Botton S, Leary A, Marzac C, Micol JB. Therapy-related myeloid neoplasms following treatment with PARP inhibitors: new molecular insights. Annals of Oncology. 2021 ;32(8):1046- 8. doi: 10.1016/j.annonc.2021 .04.015.
29. Pritzl SL, Kusne Y, Halfdanarson TR, Hobday T, Sonbol MB, Kendi AT, Mangaonkar AA, Gangat N, Shah M, Patnaik MM. Spectrum of therapy-related clonal cytopenias and neoplasms after exposure to Lutetium- 177-Dotatate. Leukemia Research. 2024;136:107434. doi: https://doi.Org/10.1016/j.leukres.2023.107434.
30. Cordeiro A, Bezerra ED, Hirayama AV, Hill JA, Wu QV, Voutsinas J, Sorror ML, Turtle CJ, Maloney DG, Bar M. Late Events after Treatment with CD19-Targeted Chimeric Antigen Receptor Modified T Cells. Biol Blood Marrow Transplant. 2020;26(1 ):26-33. Epub 2019/08/17. doi: 10.1016/j.bbmt.2O19.08.003. PubMed PMID: 31419568; PMCID: PMC6953906.
31 . Gurney M, Alkhateeb H, Shah S, Bansal R, Hathcock M, Rosenthal A, Kharfan-Dabaja
M, Kourelis T, Patnaik M, Chen D, Al-Kali A, Kenderian S, Lin Y, Shah M. S263: Cytopenias, Age and Car-Hematotox Score Predict the Development of Post Car T-Cell Therapy-Related Myeloid Neoplasms. HemaSphere. 2023;7(S3):e6718317. doi: 10.1097/01. Hs9.0000967964.67183.17. PubMed PMID: 02014419-202308003-00165.
32. Saini NY, Swoboda DM, Greenbaum U, Ma J, Patel RD, Devashish K, Das K, Tanner MR, Strati P, Nair R, Fayad L, Ahmed S, Lee HJ, Iyer SP, Steiner R, Jain N, Nastoupil L, Loghavi S, Tang G, Bassett RL, Jain P, Wang M, Westin JR, Green MR, Sallman DA, Padron E, Davila ML, Locke FL, Champlin RE, Garcia-Manero G, Shpall EJ, Kebriaei P, Flowers CR, Jain MD, Wang F, Futreal AP, Gillis N, Neelapu SS, Takahashi K. Clonal hematopoiesis is associated with increased risk of severe neurotoxicity in axicabtagene ciloleucel therapy of large B-cell lymphoma. Blood Cancer Discov. 2022. Epub 2022/05/10. doi: 10.1158/2643- 3230.BCD-21 -0177. PubMed PMID: 35533245.
33. Shouse GP, Xue T, Herrera A, Siddiqi T, Zain J, Popplewell L, Forman S, Budde E. Mds as a Cause for Prolonged Hematologic Toxicity after Treatment with Cd 19 Targeted Car- T Cell Therapy in Patients with Relapsed Refractory Lymphoma. Hematological Oncology. 2019;37(S2):507-8. doi: 10.1002/hon.190_2631.
34. Alkhateeb HB, Mohty R, Greipp P, Bansal R, Hathcock M, Rosenthal A, Murthy H, Kharfan-Dabaja M, Bisneto Villasboas JC, Bennani N, Ansell SM, Patnaik MM, Litzow MR, He R, Chen D, Al-Kali A, Kenderian SS, Lin Y, Shah MV. Therapy-related myeloid neoplasms following chimeric antigen receptor T-cell therapy for Non-Hodgkin Lymphoma. Blood Cancer
J. 2022;12(7):1 13. Epub 20220726. doi: 10.1038/s41408-022-00707-4. PubMed PMID: 35882844; PMCID: PMC9325766.
35. Khoury JD, Solary E, Abla O, Akkari Y, Alaggio R, Apperley JF, Bejar R, Berti E, Busque L, Chan JKC, Chen W, Chen X, Chng WJ, Choi JK, Colmenero I, Coupland SE, Cross NCP, De Jong D, Elghetany MT, Takahashi E, Emile JF, Ferry J, Fogelstrand L, Fontenay M, Germing U, Gujral S, Haferlach T, Harrison C, Hodge JC, Hu S, Jansen JH, Kanagal- Shamanna R, Kantarjian HM, Kratz CP, Li XQ, Lim MS, Loeb K, Loghavi S, Marcogliese A, Meshinchi S, Michaels P, Naresh KN, Natkunam Y, Nejati R, Ott G, Padron E, Patel KP, Patkar
N, Picarsic J, Platzbecker U, Roberts I, Schuh A, Sewell W, Siebert R, Tembhare P, Tyner J, Verstovsek S, Wang W, Wood B, Xiao W, Yeung C, Hochhaus A. The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Myeloid and Histiocytic/Dendritic Neoplasms. Leukemia. 2022;36(7):1703-19. Epub 20220622. doi: 10.1038/S41375-022-01613-1. PubMed PMID: 35732831 ; PMCID: PMC9252913.
36. Wong TN, Ramsingh G, Young AL, Miller CA, Touma W, Welch JS, Lamprecht TL, Shen D, Hundal J, Fulton RS, Heath S, Baty JD, Klco JM, Ding L, Mardis ER, Westervelt P, DiPersio JF, Walter MJ, Graubert TA, Ley TJ, Druley TE, Link DC, Wilson RK. Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia. Nature. 2014;518(7540):552. Epub 2014/12/10. doi: 10.1038/nature13968 https://www.nature.eom/articles/nature13968#supplementary-information. PubMed PMID: 25487151 ; PMCID: PMC4403236.
37. Gibson CJ, Lindsley RC, Tchekmedyian V, Mar BG, Shi J, Jaiswal S, Bosworth A, Francisco L, He J, Bansal A, Morgan EA, Lacasce AS, Freedman AS, Fisher DC, Jacobsen E, Armand P, Alyea EP, Koreth J, Ho V, Soiffer RJ, Antin JH, Ritz J, Nikiforow S, Forman SJ, Michor F, Neuberg D, Bhatia R, Bhatia S, Ebert BL. Clonal Hematopoiesis Associated With Adverse Outcomes After Autologous Stem-Cell Transplantation for Lymphoma. J Clin Oncol. 2017;35(14):1598-605. Epub 2017/01/10. doi: 10.1200/JC0.2016.71 .6712. PubMed PMID: 28068180; PMCID: PMC5455707.
38. Coombs CC, Zehir A, Devlin SM, Kishtagari A, Syed A, Jonsson P, Hyman DM, Solit DB, Robson ME, Baselga J, Arcila ME, Ladanyi M, Tallman MS, Levine RL, Berger MF. Therapy- Related Clonal Hematopoiesis in Patients with Non-hematologic Cancers Is Common and Associated with Adverse Clinical Outcomes. Cell Stem Cell. 2017;21 (3):374- 82. e4. Epub 2017/08/15. doi: https://doi.Org/10.1016/j.stem.2017.07.010. PubMed PMID: 28803919; PMCID: PMC5591073.
39. Bolton KL, Ptashkin RN, Gao T, Braunstein L, Devlin SM, Kelly D, Patel M, Berthon A, Syed A, Yabe M, Coombs CC, Caltabellotta NM, Walsh M, Offit K, Stadler Z, Mandelker D, Schulman J, Patel A, Philip J, Bernard E, Gundem G, Ossa JEA, Levine M, Martinez JSM, Farnoud N, Glodzik D, Li S, Robson ME, Lee C, Pharoah PDP, Stopsack KH, Spitzer B, Mantha S, Fagin J, Boucai L, Gibson CJ, Ebert BL, Young AL, Druley T, Takahashi K, Gillis N, Ball M, Padron E, Hyman DM, Baselga J, Norton L, Gardos S, Klimek VM, Scher H, Bajorin D, Paraiso E, Benayed R, Arcila ME, Ladanyi M, Solit DB, Berger MF, Tallman M, Garcia- Closas M, Chatterjee N, Diaz LA, Jr., Levine RL, Morton LM, Zehir A, Papaemmanuil E. Cancer therapy shapes the fitness landscape of clonal hematopoiesis. Nat Genet. 2020;52(1 1 ):1219-26. Epub 2020/10/28. doi: 10.1038/s41588-020-00710-0. PubMed PMID: 33106634; PMCID: PMC7891089.
40. Takahashi K, Wang F, Kantarjian H, Doss D, Khanna K, Thompson E, Zhao L, Patel K, Neelapu S, Gumbs C, Bueso-Ramos C, DiNardo CD, Colla S, Ravandi F, Zhang J, Huang X, Wu X, Samaniego F, Garcia-Manero G, Futreal PA. Preleukaemic clonal haemopoiesis and risk of therapy-related myeloid neoplasms: a case-control study. The Lancet Oncology. 2017;18(1 ) :100-11 . Epub 2016/12/08. doi: https://doi.org/10.1016/S1470-2045(16)30626-X. PubMed PMID: 27923552; PMCID: PMC5405697.
41. Malcovati L, Galli A, Travaglino E, Ambaglio I, Rizzo E, Molteni E, Elena C, Ferretti VV, Catricala S, Bono E, Todisco G, Bianchessi A, Rumi E, Zibellini S, Pietra D, Boveri E, Camaschella C, Toniolo D, Papaemmanuil E, Ogawa S, Cazzola M. Clinical significance of somatic mutation in unexplained blood cytopenia. Blood. 2017;129(25):3371 -8. Epub 2017/04/21. doi: 10.1 182/blood-2017-01 -763425. PubMed PMID: 28424163; PMCID: PMC5542849.
42. Takahashi K, Wang F, Kantarjian H, Song X, Patel K, Neelapu S, Gumbs C, Little L, Tippen S, Thornton R, DiNardo CD, Ravandi F, Bueso-Ramos C, Zhang J, Wu X, Garcia- Manero G, Futreal PA. Copy number alterations detected as clonal hematopoiesis of indeterminate potential. Blood Advances. 2017;1 (15):1031 -6. Epub 2018/01/04. doi: 10.1182/bloodadvances.2017007922. PubMed PMID: 29296745; PMCID: PMC5728325 interests.
43. Sperling AS, Guerra VA, Kennedy JA, Yan Y, Hsu JI, Wang F, Nguyen AT, Miller PG, McConkey ME, Quevedo Barrios VA, Furudate K, Zhang L, Kanagal-Shamanna R, Zhang J, Little L, Gumbs C, Daver N, DiNardo CD, Kadia T, Ravandi F, Kantarjian H, Garcia-Manero G, Futreal PA, Ebert BL, Takahashi K. Lenalidomide promotes the development of TP53- mutated therapy-related myeloid neoplasms. Blood. 2022;140(16):1753-63. doi: 10.1182/blood.2021014956. PubMed PMID: 35512188; PMCID: PMC9837415.
44. Gillis NK, Ball M, Zhang Q, Ma Z, Zhao Y, Yoder SJ, Balasis ME, Mesa TE, Sallman DA, Lancet JE, Komrokji RS, List AF, McLeod HL, Alsina M, Baz R, Shain KH, Rollison DE, Padron E. Clonal haemopoiesis and therapy-related myeloid malignancies in elderly patients: a proof-of-concept, case-control study. The Lancet Oncology. 2017;18(1 ):1 12-21. Epub 2016/12/09. doi: https://doi.org/10.1016/S1470-2045(16)30627-1. PubMed PMID: 27927582; PMCID: PMC7771361.
45. Blau O, Baldus CD, Hofmann W-K, Thiel G, Nolte F, Burmeister T, Turkmen S, Benlasfer O, Schumann E, Sindram A, Molkentin M, Mundlos S, Keilholz U, Thiel E, Blau IW. Mesenchymal stromal cells of myelodysplastic syndrome and acute myeloid leukemia patients have distinct genetic abnormalities compared with leukemic blasts. Blood. 201 1 ;1 18(20):5583- 92. Epub 201 1/09/29. doi: 10.1182/blood-2011 -03-343467. PubMed PMID: 21948175; PMCID: PMC3217359.
46. Geyh S, Oz S, Cadeddu RP, Frbbel J, Bruckner B, Kundgen A, Fenk R, Bruns I, Zilkens C, Hermsen D, Gattermann N, Kobbe G, Germing U, Lyko F, Haas R, Schroeder T. Insufficient stromal support in MDS results from molecular and functional deficits of mesenchymal stromal cells. Leukemia. 2013;27(9):1841 -51. Epub 2013/06/26. doi: 10.1038/leu.2013.193. PubMed PMID: 23797473.
47. Kutyna MM, Kok CH, Lim Y, Tran ENH, Campbell D, Paton S, Thompson-Peach C, Lim K, Cakouros D, Arthur A, Hughes T, Kumar S, Thomas D, Gronthos S, Hiwase DK. A senescence stress secretome is a hallmark of therapy-related myeloid neoplasm stromal tissue occurring soon after cytotoxic exposure. Leukemia. 2022;36(11 ):2678-89. Epub 20220829. doi: 10.1038/s41375-022-01686-y. PubMed PMID: 36038666; PMCID: PMC9613466.
48. A B, KJ L, V G, MA K-D, E A, V R, JM F, H M, M I, J P, LZ S, S C, N K, M H, AA M, MR L, WJ H, A T, HB A, D H, MV S. Factors Predicting Survival in Patients with TP53-Mutated Myeloid Neoplasms Following Allogeneic Stem Cell Transplant. Transplantation and Cellular Therapy Meetings; February 22, 2024; San Antonio, TX, LJSA2024.
49. Li T, Luo C, Zhang J, Wei L, Sun W, Xie Q, Liu Y, Zhao Y, Xu S, Wang L. Efficacy and safety of mesenchymal stem cells co-infusion in allogeneic hematopoietic stem cell transplantation: a systematic review and meta-analysis. Stem Cell Res Ther. 2021 ;12(1 ):246. Epub 20210420. doi: 10.1186/s13287-021 -02304-x. PubMed PMID: 33879242; PMCID: PMC8056684.
50. Dohner H, Wei AH, Appelbaum FR, Craddock C, DiNardo CD, Dombret H, Ebert BL, Fenaux P, Godley LA, Hasserjian RP, Larson RA, Levine RL, Miyazaki Y, Niederwieser D, Ossenkoppele G, Rollig C, Sierra J, Stein EM, Tallman MS, Tien HF, Wang J, Wierzbowska A, Lowenberg B. Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN. Blood. 2022;140(12):1345-77. doi: 10.1182/blood.2022016867. PubMed PMID: 35797463.
51 . Weinberg OK, Siddon A, Madanat YF, Gagan J, Arber DA, Dal Cin P, Narayanan D, Ouseph MM, Kurzer JH, Hasserjian RP. TP53 mutation defines a unique subgroup within complex karyotype de novo and therapy-related MDS/AML. Blood Adv. 2022;6(9):2847-53. doi: 10.1182/bloodadvances.2021006239. PubMed PMID: 35073573; PMCID: PMC9092405.
52. Li M, Binder M, Lasho T, Ferrer A, Gangat N, Al- Kali A, Mangaonkar A, Elliott M, Litzow M, Hogan W, Pardanani A, Wolanskyj-Spinner A, Howard M, King RL, Shah M, Alkhateeb H, Begna K, Tefferi A, Finke C, Oliveira J, Ketterling R, Olteanu H, Patnaik MM. Clinical, molecular, and prognostic comparisons between CCUS and lower-risk MDS: a study of 187 molecularly annotated patients. Blood Adv. 2021 ;5(8):2272-8. doi: 10.1182/bloodadvances.2020003976. PubMed PMID: 33904893; PMCID: PMC8095155.
53. Shah MV, Mangaonkar AA, Begna KH, Alkhateeb HB, Greipp P, Chen D, Viswanatha DS, He R, Elliott MA, Hogan WJ, Litzow MR, McCullough K, Tefferi A, Gangat N, Patnaik MM, Al- Kali A. Therapy-Related Cytopenia of Undetermined Significance (t-CCUS) As a Precursor to Therapy-Related Myeloid Neoplasms (t-MN). Blood. 2021 ;138(Supplement 1 ):1096- . doi: 10.1182/blood-2021 -145696. PubMed PMID: WGS:000736398804126.
54. Liu C, Banister CE, Buckhaults PJ. Spindle Assembly Checkpoint Inhibition Can Resensitize p53-Null Stem Cells to Cancer Chemotherapy. Cancer Res. 2019;79(9):2392- 403. Epub 20190312. doi: 10.1158/0008-5472.CAN-18-3024. PubMed PMID: 30862715; PMCID: PMC6497569.
55. Dominguez-Brauer C, Thu Kelsie L, Mason Jacqueline M, Blaser H, Bray Mark R, Mak Tak W. Targeting Mitosis in Cancer: Emerging Strategies. Molecular Cell. 2015;60(4):524-36. doi: 10.1016/j.molcel.2015.11.006.
56. Mason JM, Wei X, Fletcher GC, Kiarash R, Brokx R, Hodgson R, Beletskaya I, Bray MR, Mak TW. Functional characterization of CFI-402257, a potent and selective Mps1/TTK kinase inhibitor, for the treatment of cancer. Proceedings of the National Academy of Sciences. 2017;1 14(12) :3127-32. doi: doi:10.1073/pnas.1700234114.
57. McAinsh AD, Kops GJPL. Principles and dynamics of spindle assembly checkpoint signalling. Nature Reviews Molecular Cell Biology. 2023;24(8):543-59. doi: 10.1038/s41580- 023-00593-z.
58. Romanovsky E, Kluck K, Ourailidis I, Menzel M, Beck S, Ball M, Kazdal D, Christopoulos P, Schirmacher P, Stiewe T, Stenzinger A, Budczies J. Homogenous TP53mut- associated tumor biology across mutation and cancer types revealed by transcriptome analysis. Cell Death Discovery. 2023;9(1 ):126. doi: 10.1038/s41420-023-01413-1.
59. Wang X, Sun Q. TP53 mutations, expression and interaction networks in human cancers. Oncotarget. 2016;8(1 ).
60. Hilton J, Renouf D, Cescon DW, Hansen A, Razak AA, Stayner L-A, Denny TA, Roberts-Thomson E, Chen D-Y, Bray M, Bedard P. Abstract P6-10-13: An update to a Phase I trial of CFI-402257, an oral TTK inhibitor, in patients with advanced solid tumors with HER2- negative breast cancer expansion cohorts. Cancer Research. 2023;83(5_Supplement):P6-10- 3-P6-3. doi: 10.1158/1538-7445.Sabcs22-p6-10-13. 61 . Liu Y, Zhu K, Guan X, Xie S, Wang Y, Tong Y, Guo L, Zheng H, Lu R. TTK is a potential therapeutic target for cisplatin-resistant ovarian cancer. Journal of Ovarian Research. 2021 ;14(1 ):128. doi: 10.1 186/s13048-021 -00884-z.
62. Tardif KD, Rogers A, Cassiano J, Roth BL, Cimbora DM, McKinnon R, Peterson A, Douce TB, Robinson R, Dorweiler I, Davis T, Hess MA, Ostanin K, Papac DI, Baichwal V, McAlexander I, Willardsen JA, Saunders M, Christophe H, Kumar DV, Wettstein DA, Carlson RO, Williams BL. Characterization of the cellular and antitumor effects of MPI-0479605, a small-molecule inhibitor of the mitotic kinase Mps1. Mol Cancer Ther. 201 1 ;10(12):2267-75. Epub 2011 1006. doi: 10.1 158/1535-7163.MCT-11 -0453. PubMed PMID: 21980130.
63. King JL, Zhang B, Li Y, Li KP, Ni JJ, Saavedra HI, Dong J-T. TTK promotes mesenchymal signaling via multiple mechanisms in triple negative breast cancer. Oncogenesis. 2018;7(9):69. doi: 10.1038/s41389-018-0077-z.
64. Faustine O, Kunhwa K, Marina YK. Venetoclax resistance: mechanistic insights and future strategies. Cancer Drug Resistance. 2022;5(2):380-400. doi: 10.20517/cdr.2O21 .125.
65. Marissa L, Baranwal A, Shah S, Gurney M, Aref A-K, Hassan A, James F, Yi CA, Chen D, Mangaonkar A. P1346: THE IMPACT OF CYTOTOXIC THERAPY ON THE RISK OF PROGRESSION AND DEATH IN PATIENTS WITH CLONAL CYTOPENIA OF UNDETERMINED SIGNIFICANCE. HemaSphere. 2023;7(S3):e0684981 .
66. Shah MV, Mangaonkar AA, Begna KH, Alkhateeb HB, Greipp P, Nanaa A, Elliott MA, Hogan WJ, Litzow MR, McCullough K, Tefferi A, Gangat N, Patnaik MM, Al-Kali A, He R, Chen D. Therapy-related clonal cytopenia as a precursor to therapy-related myeloid neoplasms. Blood Cancer J. 2022;12(7):106. Epub 20220708. doi: 10.1038/s41408-022-00703-8. PubMed PMID: 35803921 ; PMCID: PMC9270475.
67. Hiwase D, Hahn C, Tran ENH, Chhetri R, Baranwal A, Al-Kali A, Sharplin K, Ladon D, Hollins R, Greipp P, Kutyna M, Alkhateeb H, Badar T, Wang P, Ross DM, Singhal D, Shanmuganathan N, Bardy P, Beligaswatte A, Yeung D, Litzow MR, Mangaonkar A, Giri P, Lee C, Yong A, Horvath N, Singhal N, Gowda R, Hogan W, Gangat N, Patnaik M, Begna K, Tiong IS, Wei A, Kumar S, Brown A, Scott H, Thomas D, Kok CH, Tefferi A, Shah MV. TP53 mutation in therapy-related myeloid neoplasm defines a distinct molecular subtype. Blood. 2023;141 (9):1087-91. doi: 10.1 182/blood.2022018236. PubMed PMID: 36574363.
68. Abdallah M, McCullough K, Ilyas R, Begna KH, Al-Kali A, Litzow MR, Hogan WJ, Mangaonkar A, Alkhateeb H, Shah MV, Elliott MA, Foran JM, Badar T, Palmer JM, Yi CA, Sproat L, Pardanani A, Patnaik MM, Olteanu H, Ketterling RP, Tefferi A, Gangat N. Abnormal karyotype is an independent predictor of inferior survival in Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN). Blood Cancer J. 2023;13(1 ):35. Epub 20230313. doi: 10.1038/s41408- 023-00812-y. PubMed PMID: 36907917; PMCID: PMC10008821.
69. Al-Kali A, Nanaa A, Viswanatha D, He R, Nguyen P, Jevremovic D, Foran JM, Yi CA, Greipp PT, Gangat N, Patnaik M, Tefferi A, Litzow MR, Mangaonkar AA, Shah MV, Badar T, Alkhateeb HB. Observation and treatment in DDX41 -mutated acute myeloid leukemia and myelodysplastic syndrome. Blood Cancer J. 2023;13(1 ):49. Epub 20230410. doi: 10.1038/S41408-023-00818-6. PubMed PMID: 37032414; PMCID: PMC10083167.
70. Badar T, Nanaa A, Foran JM, Viswanatha D, Al-Kali A, Lasho T, Finke C, Alkhateeb HB, He R, Gangat N, Shah M, Tefferi A, Mangaonkar AA, Litzow MR, Ongie LJ, Chlon T, Ferrer A, Patnaik MM. Clinical and molecular correlates of somatic and germline DDX41 variants in patients and families with myeloid neoplasms. Haematologica. 2023. Epub 20230518. doi: 10.3324/haematol.2023.282867. PubMed PMID: 37199125. 71 . Badar T, Vanegas YAM, Nanaa A, Foran JM, Al- Kali A, Mangaonkar A, Murthy H, Alkhateeb HB, Viswanatha D, He R, Shah M, Yi CA, Litzow MR, Gangat N, Tefferi A, Patnaik MM. U2AF1 pathogenic variants in myeloid neoplasms and precursor states: distribution of co-mutations and prognostic heterogeneity. Blood Cancer J. 2023 ; 13(1 ):149. Epub 20230921 . doi: 10.1038/S41408-023-00922-7. PubMed PMID: 37735430; PMCID: PMC10514309.
72. Baranwal A, Chhetri R, Yeung D, Clark M, Shah S, Litzow MR, Hogan WJ, Mangaonkar A, Alkhateeb HB, Singhal D, Cibich A, Bardy P, Kok CH, Hiwase DK, Shah MV. Factors predicting survival following alloSCT in patients with therapy-related AML and MDS: a multicenter study. Bone Marrow Transplant. 2023;58(7):769-76. Epub 20230403. doi: 10.1038/S41409-023-01970-0. PubMed PMID: 37012415.
73. Gangat N, Ilyas R, McCullough K, Begna KH, Al-Kali A, Patnaik MM, Litzow MR, Hogan WJ, Mangaonkar A, Alkhateeb H, Shah MV, Elliott MA, Foran JM, Badar T, Palmer JM, Hanson CA, Pardanani A, Tefferi A. Predictors of response to venetoclax plus hypomethylating agent therapy and survival in blastphase myeloproliferative neoplasm. Haematologica. 2023;108(5):1423-8. Epub 20230501. doi: 10.3324/haematol.2022.282019. PubMed PMID: 36519330; PMCID: PMC10153526.
74. Gangat N, McCullough K, Abdelmagid M, Karrar O, Powell M, Al-Kali A, Alkhateeb H, Begna K, Mangaonkar A, Saliba A, Torghabeh MH, Litzow M, Hogan W, Shah M, Patnaik M, Pardanani A, Badar T, Foran J, Palmer J, Sproat L, Yi CA, Tefferi A. Molecular predictors of response and survival following IDH1/2 inhibitor monotherapy in acute myeloid leukemia. Haematologica. 2023. Epub 20230803. doi: 10.3324/haematol.2023.283732. PubMed PMID: 37534525.
75. Gurney M, Mangaonkar AA, Lasho T, Finke C, Al-Kali A, Gangat N, Shah MV, Alkhateeb HB, Tefferi A, Sallman D, Xie Z, Viswanatha D, Reichard K, Al Ali N, Komrokji R, Padron E, Patnaik MM. Somatic TP53 single nucleotide variants, indels and copy number alterations in chronic myelomonocytic leukemia (CMML). Leukemia. 2023;37(8):1753-6. Epub 20230708. doi: 10.1038/s41375-023-01964-3. PubMed PMID: 37422593.
76. Shah SN, Li M, Baranwal A, Chen D, He R, Alkhateeb HB, Tefferi A, Mangaonkar AA, Al-Kali A, Patnaik MS, Shah MV. Outcome of TP53-mutated CCUS and the risk of progression to myeloid neoplasms. Journal of Clinical Oncology. 2023;41 (16_suppl):7059-. doi: 10.1200/JC0.2023.41 .16_suppl.7O59.
77. Tefferi A, Singh A, Gangat N, Al-Kali A, Alkhateeb H, Shah M, Patnaik MS, Elliott MA, Hogan WJ, Litzow MR, Wolanskyj-Spinner A, Hook CC, Mangaonkar A, Viswanatha D, Chen D, Pardanani A, Begna KH, Ketterling RP. Adverse karyotype subcategories in acute myeloid leukemia display significant differences in mutation composition and transplant-augmented survival. Haematologica. 2023;108(1 ):245-9. Epub 20230101. doi: 10.3324/haematol.2022.281495. PubMed PMID: 36073516; PMCID: PMC9827171.
78. Zanwar S, Jacob EK, Greiner C, Pavelko K, Strausbauch M, Anderson E, Arsana A, Weivoda M, Shah MV, Kourelis T. The immunome of mobilized peripheral blood stem cells is predictive of long-term outcomes and therapy-related myeloid neoplasms in patients with multiple myeloma undergoing autologous stem cell transplant. Blood Cancer Journal. 2023;13(1 ):151 .
79. Karrar O, Abdelmagid M, Rana M, Iftikhar M, McCullough K, Al-Kali A, Alkhateeb HB, Begna KH, Elliott MA, Mangaonkar A, Saliba A, Hefazi Torghabeh M, Litzow MR, Hogan W, Shah M, Patnaik MM, Pardanani A, Badar T, Murthy H, Foran J, Palmer J, Sproat L, Khera N, Arana Yi C, Tefferi A, Gangat N. Venetoclax duration (14 vs. 21 vs. 28 days) in combination with hypomethylating agent in newly diagnosed acute myeloid leukemia: Comparative analysis of response, toxicity, and survival. American Journal of Hematology. 2024;99(2):E63- E6. doi: https://doi.org/10.1002/ajh.27180.
80. Singhal D, Wee LYA, Kutyna MM, Chhetri R, Geoghegan J, Schreiber AW, Feng J, Wang PP, Babic M, Parker WT, Hiwase S, Edwards S, Moore S, Branford S, Kuzmanovic T, Singhal N, Gowda R, Brown AL, Arts P, To LB, Bardy PG, Lewis ID, D'Andrea RJ, Maciejewski JP, Scott HS, Hahn CN, Hiwase DK. The mutational burden of therapy-related myeloid neoplasms is similar to primary myelodysplastic syndrome but has a distinctive distribution. Leukemia. 2019;33(12):2842-53. Epub 20190514. doi: 10.1038/s41375-019-0479-8. PubMed PMID: 31089247.
81 . Kutyna M, Wee LYA, Paton S, Cakouros D, Arthur A, Chhetri R, Schreiber AW, Kok CH, Singhal D, Thomas D, Hughes TP, Campbell D, Gronthos S, Hiwase D. Therapy-Related Myeloid Neoplasm Has a Distinct Pro-Inflammatory Bone Marrow Microenvironment and Delayed DNA Damage Repair. 62nd ASH Annual Meeting and Exposition; December 5, 20202020.
82. Kuzmanovic T, Patel BJ, Sanikommu SR, Nagata Y, Awada H, Kerr CM, Przychodzen BP, Jha BK, Hiwase D, Singhal D, Advani AS, Nazha A, Gerds AT, Carraway HE, Sekeres MA, Mukherjee S, Maciejewski JP, Radivoyevitch T. Genomics of therapy-related myeloid neoplasms. Haematologica. 2020;105(3):e98-e101 . Epub 20190814. doi: 10.3324/haematol.2019.219352. PubMed PMID: 31413096; PMCID: PMC7049337.
83. Chhetri R, Sharplin K, Proudman W, Kutyna MM, Nayar S, Singhal D, Ross DM, Damin M, Kalro A, Bardy PG, Thomas D, Shah MV, Hiwase D. Hypomethylating Therapy Does Not Improve Outcome of Therapy-Related Myeloid Neoplasm Including TP53 Mutated and Complex Karyotype Subgroups. Blood. 2021 ;138(Supplement 1 ):3702-. doi: 10.1 182/blood- 2021 -154094.
84. Hahn CN, Feurstein SK, Singhal D, Kutyna MM, Chhetri R, Wee A, Thomas D, Scott HS, Hiwase D. Unexpected High Frequency of Pathogenic Germline Variants in Older Adults with Primary Myelodysplastic Syndrome. Blood. 2021 ;138(Supplement 1 ):2594-. doi: 10.1182/blood-2021 -154514. PubMed PMID: WOS:000736413902108.
85. Samaraweera SE, Wang PPS, Li KL, Casolari DA, Feng J, Pinese M, Maung KZY, Leo P, Cowley M, Perkins K, Smith AM, Ellis J, Wee A, Hiwase DK, Scott HS, Schreiber AW, Brown AL, Deans AJ, Ross DM, Moore AS, Gonda TJ, Hahn CN, D'Andrea RJ. Childhood acute myeloid leukemia shows a high level of germline predisposition. Blood. 2021 ; 138(22) :2293-8. doi: 10.1 182/blood.2021012666. PubMed PMID: 34521 114.
86. Singhal D, Hahn CN, Feurstein S, Wee LYA, Moma L, Kutyna MM, Chhetri R, Eshraghi L, Schreiber AW, Feng J, Wang PP, Babic M, Parker WT, Gao S, Moore S, Das S, Thomas D, Pattnaik S, Brown AL, D'Andrea RJ, Poplawski NK, Thomas D, Scott HS, Godley LA, Hiwase DK. Targeted gene panels identify a high frequency of pathogenic germline variants in patients diagnosed with a hematological malignancy and at least one other independent cancer. Leukemia. 2021 ;35(11 ):3245-56. Epub 20210413. doi: 10.1038/s41375-021 -01246- w. PubMed PMID: 33850299.
87. Fleti F, Chan O, Singh A, Abdelmagid MG, Al-Kali A, Elliott MA, Begna KH, Foran JM, Badar T, Khera N, Al Ali NH, Padron E, Sallman DA, Shah M, Hiwase D, Pardanani A, Arber DA, Orazi A, Reichard KK, He R, Ketterling RP, Gangat N, Komrokji R, Tefferi A. TP53 mutations and variant allele frequency in myelodysplastic syndromes with del(5q): A Mayo- Moffitt study of 156 informative cases. Am J Hematol. 2023;98(4):E76-E9. Epub 20230206. doi: 10.1002/ajh.26845. PubMed PMID: 36655582. 88. Shah MV, Kutyna M, Shah S, Tran ENH, Baranwal A, Ladon D, Al-Kali A, Brown A, Chen D, Greipp P, Begna K, Litzow MR, Hogan WJ, Bardy P, Kumar S, Yeung DT, Patnaik MM, Foran JM, He R, Gangat N, Scott HS, Arana Yi CY, Alkhateeb H, Mangaonkar AA, Thomas D, Hahn CN, Orazi A, Arber DA, Kok CH, Tefferi A, Hiwase D. Comparison of World Health Organization and International Consensus Classification Guidelines for Myeloid Neoplasms Harboring TP53-Mutations Using an Independent International Cohort. Blood. 2023; 142:3243. doi: https://doi.org/10-1 182/blood-2023-187860.
89. Shah MV, Tran ENH, Shah S, Chhetri R, Baranwal A, Ladon D, Shultz C, Al-Kali A, Brown AL, Chen D, Scott HS, Greipp P, Thomas D, Alkhateeb HB, Singhal D, Gangat N, Kumar S, Patnaik MM, Hahn CN, Kok CH, Tefferi A, Hiwase DK. TP53 mutation variant allele frequency of >10% is associated with poor prognosis in therapy-related myeloid neoplasms. Blood Cancer J. 2023;13(1 ):51. Epub 20230411 . doi: 10.1038/s41408-023-00821 -x. PubMed PMID: 37041 128; PMCID: PMC10090194.
90. Tefferi A, Fleti F, Chan O, Al Ali NH, Al-Kali A, Begna KH, Foran JM, Badar T, Khera N, Shah M, Hiwase D, Padron E, Sallman DA, Pardanani A, Arber DA, Orazi A, Reichard KK, He R, Ketterling RP, Gangat N, Komrokji R. TP53 variant allele frequency and therapy-related setting independently predict survival in myelodysplastic syndromes with del(5q). Br J Haematol. 2023. Epub 20231211 . doi: 10.1 111 /bjh.19247. PubMed PMID: 38083865.
91 . Donehower LA, Soussi T, Korkut A, Liu Y, Schultz A, Cardenas M, Li X, Babur O, Hsu T-K, Lichtarge O, Weinstein JN, Akbani R, Wheeler DA. Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas. Cell Reports. 2019;28(5):1370-84.e5. doi: https://d0i.0rg/l 0.1016/j.celrep.2O19.07.001 .
92. Robles Al, Harris CC. Clinical Outcomes and Correlates of TP53 Mutations and Cancer. Cold Spring Harbor Perspectives in Biology. 2010;2(3). doi: 10.1101/cshperspect.a001016.
93. Haferlach T, Kohlmann A, Wieczorek L, Basso G, Kronnie GT, Bene M-C, Vos JD, Hernandez JM, Hofmann W-K, Mills KI, Gilkes A, Chiaretti S, Shurtleff SA, Kipps TJ, Rassenti LZ, Yeoh AE, Papenhausen PR, Liu W-m, Williams PM, Foa R. Clinical Utility of Microarray- Based Gene Expression Profiling in the Diagnosis and Subclassification of Leukemia: Report From the International Microarray Innovations in Leukemia Study Group. Journal of Clinical Oncology. 2010;28(15):2529-37. doi: 10.1200/jco.2009.23.4732. PubMed PMID: 20406941.
94. Tyner JW, Tognon CE, Bottomly D, Wilmot B, Kurtz SE, Savage SL, Long N, Schultz AR, Traer E, Abel M, Agarwal A, Blucher A, Borate U, Bryant J, Burke R, Carlos A, Carpenter
R, Carroll J, Chang BH, Coblentz C, d’Almeida A, Cook R, Danilov A, Dao K-HT, Degnin M, Devine D, Dibb J, Edwards DK, Eide CA, English I, Glover J, Henson R, Ho H, Jemal A, Johnson K, Johnson R, Junio B, Kaempf A, Leonard J, Lin C, Liu SQ, Lo P, Loriaux MM, Luty
S, Macey T, MacManiman J, Martinez J, Mori M, Nelson D, Nichols C, Peters J, Ramsdill J, Rofelty A, Schuff R, Searles R, Segerdell E, Smith RL, Spurgeon SE, Sweeney T, Thapa A, Visser C, Wagner J, Watanabe-Smith K, Werth K, Wolf J, White L, Yates A, Zhang H, Cogle CR, Collins RH, Connolly DC, Deininger MW, Drusbosky L, Hourigan CS, Jordan CT, Kropf P, Lin TL, Martinez ME, Medeiros BC, Pallapati RR, Pollyea DA, Swords RT, Watts JM, Weir SJ, Wiest DL, Winters RM, McWeeney SK, Druker BJ. Functional genomic landscape of acute myeloid leukaemia. Nature. 2018;562(7728):526-31. doi: 10.1038/s41586-018-0623-z.
95. Laufer R, Li S-W, Liu Y, Ng G, Lang Y, Feher M, Brokx R, Beletskaya I, Hodgson R, Mao G, Plotnikova O, Awrey DE, Mason JM, Wei X, Lin DC-C, Che Y, Kiarash R, Madeira B, Fletcher GC, Mak TW, Bray MR, Pauls HW. Discovery of 4-(4-aminopyrazolo[1 ,5- a][1 ,3,5]triazin-8-yl)benzamides as novel, highly potent and selective, orally bioavailable inhibitors of Tyrosine Threonine Kinase, TTK. Bioorganic & Medicinal Chemistry Letters. 2016;26(15):3562-6. doi: https://doi.Org/10.1016/j.bmcl.2O16.06.021 .
96. Liu Y, Laufer R, Patel NK, Ng G, Sampson PB, Li S-W, Lang Y, Feher M, Brokx R, Beletskaya I, Hodgson R, Plotnikova O, Awrey DE, Qiu W, Chirgadze NY, Mason JM, Wei X, Lin DC-C, Che Y, Kiarash R, Fletcher GC, Mak TW, Bray MR, Pauls HW. Discovery of Pyrazolo[1 ,5-a]pyrimidine TTK Inhibitors: CFI-402257 is a Potent, Selective, Bioavailable Anticancer Agent. ACS Medicinal Chemistry Letters. 2016;7(7):671 -5. doi: 10.1021 /acsmedchemlett.5b00485.
97. Soria-Bretones I, Thu KL, Silvester J, Cruickshank J, El Ghamrasni S, Ba-alawi W, Fletcher GC, Kiarash R, Elliott MJ, Chalmers JJ, Elia AC, Cheng A, Rose AAN, Bray MR, Haibe-Kains B, Mak TW, Cescon DW. The spindle assembly checkpoint is a therapeutic vulnerability of CDK4/6 inhibitor&#x2013;resistant ER<sup>+</sup> breast cancer with mitotic aberrations. Science Advances. 2022;8(36):eabq4293. doi: doi:10.1126/sciadv.abq4293.
98. Shah MV, Chhetri R, Durani U, Kutyna M, Alkhateeb HB, Litzow MR, Hogan WJ, Singhal D, Nayar S, Tefferi A, Begna KH, Hiwase D. T-MDS Is a Distinct Clinical and Pathological Entity Characterized By Better Survival Compared to t-AML. Blood. 2021 ;138(Supplement 1 ):3377-. doi: 10.1 182/blood-2021 -152380. PubMed PMID: WGS:000736413905194.
99. Tefferi A, Idossa D, Lasho TL, Mudireddy M, Finke C, Shah S, Nicolosi M, Patnaik MM, Pardanani A, Gangat N, Hanson CA, Ketterling RP. Mutations and karyotype in myelodysplastic syndromes: TP53 clusters with monosomal karyotype, RUNX1 with trisomy 21 , and SF3B1 with inv(3)(q21q26.2) and del(1 1q). Blood Cancer J. 2017;7(12):658. Epub 20171218. doi: 10.1038/s41408-017-0017-8. PubMed PMID: 29249799; PMCID: PMC5802462.
100. Buschle M, Campana D, Carding SR, Richard C, Hoffbrand AV, Brenner MK. Interferon gamma inhibits apoptotic cell death in B cell chronic lymphocytic leukemia. J Exp Med. 1993;177(1):213-8. Epub 1993/01/01 . doi: 10.1084/jem.177.1 .213. PubMed PMID: 76781 14; PMCID: 2190861.
101. Selleri C, Maciejewski JP, Sato T, Young NS. Interferon-y Constitutively Expressed in the Stromal Microenvironment of Human Marrow Cultures Mediates Potent Hematopoietic Inhibition. Blood. 1996;87(10):4149-57. doi: https://doi.org/10-1 182/blood.V87.10.4149. bloodjournal87104149.
102. Novais EJ, Tran VA, Johnston SN, Darris KR, Roupas AJ, Sessions GA, Shapiro IM, Diekman BO, Risbud MV. Long-term treatment with senolytic drugs Dasatinib and Quercetin ameliorates age-dependent intervertebral disc degeneration in mice. Nature Communications. 2021 ;12(1 ):5213. doi: 10.1038/S41467-021 -25453-2.
103. Xu M, Pirtskhalava T, Farr JN, Weigand BM, Palmer AK, Weivoda MM, Inman CL, Ogrodnik MB, Hachfeld CM, Fraser DG, Onken JL, Johnson KO, Verzosa GC, Langhi LGP, Weigl M, Giorgadze N, LeBrasseur NK, Miller JD, Jurk D, Singh RJ, Allison DB, Ejima K, Hubbard GB, Ikeno Y, Cubro H, Garovic VD, Hou X, Weroha SJ, Robbins PD, Niedernhofer LJ, Khosla S, Tchkonia T, Kirkland JL. Senolytics improve physical function and increase lifespan in old age. Nature Medicine. 2018;24(8):1246-56. doi: 10.1038/s41591 -018-0092-9.
104. Id Boufker H, Lagneaux L, Najar M, Piccart M, Ghanem G, Body J-J, Journe F. The Src inhibitor dasatinib accelerates the differentiation of human bone marrow-derived mesenchymal stromal cells into osteoblasts. BMC Cancer. 2010;10(1 ):298. doi: 10.1186/1471 -2407-10-298.
105. Gu Y, Avolio E, Alvino VV, Thomas AC, Herman A, Miller PJ, Sullivan N, Faulkner A, Madeddu P. The tyrosine kinase inhibitor Dasatinib reduces cardiac steatosis and fibrosis in obese, type 2 diabetic mice. Cardiovascular Diabetology. 2023;22(1 ):214. doi: 10.1186/S12933-023-01955-9.
106. Tanaka Y, Fukushima T, Mikami K, Adachi K, Fukuyama T, Goyama S, Kitamura T. Efficacy of tyrosine kinase inhibitors on a mouse chronic myeloid leukemia model and chronic myeloid leukemia stem cells. Experimental Hematology. 2020;90:46-51 .e2. doi: https://doi.Org/10.1016/j. exphem.2020.09.186.
107. Hu Y, Swerdlow S, Duffy TM, Weinmann R, Lee FY, Li S. Targeting multiple kinase pathways in leukemic progenitors and stem cells is essential for improved treatment of Ph<sup>+</sup> leukemia in mice. Proceedings of the National Academy of Sciences. 2006;103(45):16870-5. doi: doi:10.1073/pnas.0606509103.
108. Kim H-Y, Kim B, Lee J, You S, Kim l-S, Kim H, Kim H, Lee J-S, Chang YH, Kim H, Shin S, Choi YJ, Kim M, Cho Y-U, Jang S, Bae B, Lee J-M, Kim Y, Kim M. TP53 Mutational Status in Myelodysplastic Neoplasm and Acute Myeloid Leukemia: Impact of Reclassification By Who 2022 and ICC Criteria - a Korean Multi-Center Study. Blood. 2023; 142:4222. doi: https://doi.Org/10.1 182/blood-2023-188935.
109. Bernard E, Nannya Y, Hasserjian RP, Devlin SM, Tuechler H, Medina-Martinez JS, Yoshizato T, Shiozawa Y, Saiki R, Malcovati L, Levine MF, Arango JE, Zhou Y, Sole F, Cargo CA, Haase D, Creignou M, Germing U, Zhang Y, Gundem G, Sarian A, van de Loosdrecht AA, Jadersten M, Tobiasson M, Kosmider O, Folio MY, Thol F, Pinheiro RF, Santini V, Kotsianidis I, Boultwood J, Santos FPS, Schanz J, Kasahara S, Ishikawa T, Tsurumi H, Takaori-Kondo A, Kiguchi T, Polprasert C, Bennett JM, Klimek VM, Savona MR, Belickova M, Ganster C, Palomo L, Sanz G, Ades L, Della Porta MG, Elias HK, Smith AG, Werner Y, Patel M, Viale A, Vanness K, Neuberg DS, Stevenson KE, Menghrajani K, Bolton KL, Fenaux P, Pellagatti A, Platzbecker U, Heuser M, Valent P, Chiba S, Miyazaki Y, Finelli C, Voso MT, Shih LY, Fontenay M, Jansen JH, Cervera J, Atsuta Y, Gattermann N, Ebert BL, Bejar R, Greenberg PL, Cazzola M, Hellstrom-Lindberg E, Ogawa S, Papaemmanuil E. Implications of TP53 allelic state for genome stability, clinical presentation and outcomes in myelodysplastic syndromes. Nat Med. 2020;26(10):1549-56. Epub 20200803. doi: 10.1038/s41591 -020-1008- z. PubMed PMID: 32747829; PMCID: PMC8381722.
110. Bahaj W, Kewan T, Gurnari C, Durmaz A, Ponvilawan B, Pandit I, Kubota Y, Ogbue OD, Zawit M, Madanat Y, Bat T, Balasubramanian SK, Awada H, Ahmed R, Mori M, Meggendorfer M, Haferlach T, Visconte V, Maciejewski JP. Novel scheme for defining the clinical implications of TP53 mutations in myeloid neoplasia. Journal of Hematology & Oncology. 2023;16(1 ):91 . doi: 10.1186/s13045-023-01480-y.
11 1. Duncavage EJ, Schroeder MC, O'Laughlin M, Wilson R, MacMillan S, Bohannon A, Kruchowski S, Garza J, Du F, Hughes AEO, Robinson J, Hughes E, Heath SE, Baty JD, Neidich J, Christopher MJ, Jacoby MA, Uy GL, Fulton RS, Miller CA, Payton JE, Link DC, Walter MJ, Westervelt P, DiPersio JF, Ley TJ, Spencer DH. Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers. N Engl J Med. 2021 ;384(10):924-35. Epub 2021/03/12. doi: 10.1056/NEJMoa2024534. PubMed PMID: 33704937; PMCID: PMC8130455.
112. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20(9):1297-303. Epub 20100719. doi: 10.1 101 /gr.107524.1 10. PubMed PMID: 20644199; PMCID: PMC2928508.
113. Cibulskis K, Lawrence MS, Carter SL, Sivachenko A, Jaffe D, Sougnez C, Gabriel S, Meyerson M, Lander ES, Getz G. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat Biotechnol. 2013;31 (3):213-9. Epub 20130210. doi: 10.1038/nbt.2514. PubMed PMID: 23396013; PMCID: PMC3833702.
114. Kim S, Scheffler K, Halpern AL, Bekritsky MA, Noh E, Kallberg M, Chen X, Kim Y, Beyter D, Krusche P, Saunders CT. Strelka2: fast and accurate calling of germline and somatic variants. Nat Methods. 2018;15(8):591-4. Epub 20180716. doi: 10.1038/s41592-018-0051 -x. PubMed PMID: 30013048.
115. Chen X, Schulz-Trieglaff O, Shaw R, Barnes B, Schlesinger F, Kallberg M, Cox AJ, Kruglyak S, Saunders CT. Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. Bioinformatics. 2015;32(8):1220-2. doi: 10.1093/bioinformatics/btv710.
116. Wang C, Evans JM, Bhagwate AV, Prodduturi N, Sarangi V, Middha M, Sicotte H, Vedell PT, Hart SN, Oliver GR, Kocher JP, Maurer MJ, Novak AJ, Slager SL, Cerhan JR, Asmann YW. PatternCNV: a versatile tool for detecting copy number changes from exome sequencing data. Bioinformatics. 2014;30(18):2678-80. Epub 20140529. doi: 10.1093/bioinformatics/btu363. PubMed PMID: 24876377; PMCID: PMC4155258.
117. Cortes-Ciriano I, Lee JJ-K, Xi R, Jain D, Jung YL, Yang L, Gordenin D, Klimczak LJ, Zhang C-Z, Pellman DS, Akdemir KC, Alvarez EG, Baez-Ortega A, Beroukhim R, Boutros PC, Bowtell DDL, Brors B, Burns KH, Campbell PJ, Chan K, Chen K, Cortes-Ciriano I, Dueso- Barroso A, Dunford AJ, Edwards PA, Estivill X, Etemadmoghadam D, Feuerbach L, Fink JL, Frenkel-Morgenstern M, Garsed DW, Gerstein M, Gordenin DA, Haan D, Haber JE, Hess JM, Hutter B, Imielinski M, Jones DTW, Ju YS, Kazanov MD, Klimczak LJ, Koh Y, Korbel JO, Kumar K, Lee EA, Lee JJ-K, Li Y, Lynch AG, Macintyre G, Markowetz F, Martincorena I, Martinez-Fundichely A, Miyano S, Nakagawa H, Navarro FCP, Ossowski S, Park PJ, Pearson JV, Puiggros M, Rippe K, Roberts ND, Roberts SA, Rodriguez-Martin B, Schumacher SE, Scully R, Shackleton M, Sidiropoulos N, Sieverling L, Stewart C, Torrents D, Tubio JMC, Villasante I, Waddell N, Wala JA, Weischenfeldt J, Yang L, Yao X, Yoon S-S, Zamora J, Zhang C-Z, Park PJ, Aaltonen LA, Abascal F, Abeshouse A, Aburatani H, Adams DJ, Agrawal N, Ahn KS, Ahn S-M, Aikata H, Akbani R, Akdemir KC, Al-Ahmadie H, Al-Sedairy ST, Al-Shahrour F, Alawi M, Albert M, Aidape K, Alexandrov LB, Ally A, Alsop K, Alvarez EG, Amary F, Amin SB, Aminou B, Ammerpohl O, Anderson MJ, Ang Y, Antonello D, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi S-i, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Borresen-Dale A-L, Caesar- Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantu C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan- Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen H-W, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew Y- E, Chin S-F, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortes-Ciriano I, Covington K, Group PSVW, Consortium P. Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing. Nature Genetics. 2020;52(3):331 -41. doi: 10.1038/s41588-019-0576-7.
118. Kocher JP, Quest DJ, Duffy P, Meiners MA, Moore RM, Rider D, Hossain A, Hart SN, Dinu V. The Biological Reference Repository (BioR): a rapid and flexible system for genomics annotation. Bioinformatics. 2014;30(13):1920-2. Epub 20140310. doi: 10.1093/bioinformatics/btu137. PubMed PMID: 24618464; PMCID: PMC4071205.
119. Dang HX, White BS, Foltz SM, Miller CA, Luo J, Fields RC, Maher CA. ClonEvol: clonal ordering and visualization in cancer sequencing. Annals of Oncology. 2017;28(12):3076-82. doi: 10.1093/annonc/mdx517.
120. Lasho T, Finke C, Timm M, Tefferi A, Mangaonkar A, Olteanu H, Reichard K, Ketterling R, Gangat N, Xie Z, Fernandez J, Chia N, Gaspar-Maia A, Binder M, Patnaik MM. Single cell proteogenomic analysis of aberrant monocytosis in TET2 mutant premalignant and malignant hematopoiesis. Leukemia. 2023;37(6):1384-7. doi: 10.1038/s41375-023-01887-z.
121. Kuehner S, Schlaier M, Schwarz K, Speit G. Analysis of Leukemia-Specific Aneuploidies in Cultured Myeloid Progenitor Cells in the Absence and Presence of Formaldehyde Exposure. Toxicological Sciences. 2012;128(1 ):72-8. doi: 10.1093/toxsci/kfs126.
122. OncLive. FDA Grants Fast Track Designation to CFI-402257 for ER+/HER2- Breast Cancer 2023 [cited 2024 1/15/2024], Available from: https://www.onclive.com/view/fda-grants- fast-track-designation-to-cfi-402257-for-er-her2-breast-cancer.
123. Yan VC, Butterfield HE, Poral AH, Yan MJ, Yang KL, Pham C-D, Muller FL. Why Great Mitotic Inhibitors Make Poor Cancer Drugs. Trends in Cancer. 2020;6(1 1 ):924-41 . doi: https://doi.Org/10.1016/j.trecan.2020.05.010.
124. Man C-H, Lam W, Dang C-C, Zeng X-y, Zheng L-C, Chan NN-M, Ng K-L, Chan K-C, Kwok T-H, Ng TC-C, Leung W-Y, Huen MS-Y, Wong CC-L, So CWE, Dou Z, Goyama S, Bray MR, Mak TW, Leung AY-H. Inhibition of PLK4 remodels histone methylation and activates the immune response via the cGAS-STING pathway in TP53-mutated AML. Blood. 2023 ;142(23) :2002- 15. doi: 10.1182/blood.2023019782.
125. Ayoub E, Marupudi A, Nishida Y, Montoya RH, Mohanty V, Walter W, Bray MR, Patsilevas T, Boettcher S, Issa GC, Chen K, Haferlach T, Borthakur G, Andreeff M. Polyploidy Is Necessary for Apoptotic Cell Death in TP53-Mut AML in Response to Polo-like-Kinase 4 (PLK4) Inhibition and Results in Caspase 3 Cleavage. Blood. 2022;140(Supplement 1 ):5941 - 3. doi: 10.1182/blood-2022-170152. PubMed PMID: WQS:000893223205464.
126. Bertacchini J, Guida M, Accordi B, Mediani L, Martelli AM, Barozzi P, Petricoin E, Liotta L, Milani G, Giordan M, Luppi M, Forghieri F, De Pol A, Cocco L, Basso G, Marmiroli S. Feedbacks and adaptive capabilities of the PI3K/Akt/mTOR axis in acute myeloid leukemia revealed by pathway selective inhibition and phosphoproteome analysis. Leukemia. 2014;28(1 1):2197-205. doi: 10.1038/leu.2014.123. 127. Zhang X, Ling Y, Guo Y, Bai Y, Shi X, Gong F, Tan P, Zhang Y, Wei C, He X, Ramirez A, Liu X, Cao C, Zhong H, Xu Q, Ma RZ. Mps1 kinase regulates tumor cell viability via its novel role in mitochondria. Cell Death & Disease. 2016;7(7):e2292-e. doi: 10.1038/cddis.2016.193.
128. Schulze VK, Klar U, Kosemund D, Wengner AM, Siemeister G, Stockigt D, Neuhaus R, Lienau P, Bader B, Prechtl S, Holton SJ, Briem H, Marquardt T, Schirok H, Jautelat R, Bohlmann R, Nguyen D, Fernandez-Montalvan AE, Borner U, Eberspaecher U, Bruning M, Dohr O, Raschke M, Kreft B, Mumberg D, Ziegelbauer K, Brands M, von Nussbaum F, Koppitz M. Treating Cancer by Spindle Assembly Checkpoint Abrogation: Discovery of Two Clinical Candidates, BAY 1 161909 and BAY 1217389, Targeting MPS1 Kinase. Journal of Medicinal Chemistry. 2020;63(15):8025-42. doi: 10.1021/acs.jmedchem.9b02035.
129. Woodward HL, Innocenti P, Cheung K-MJ, Hayes A, Roberts J, Henley AT, Faisal A, Mak GW-Y, Box G, Westwood IM, Cronin N, Carter M, Valenti M, De Haven Brandon A, O’Fee L, Saville H, Schmitt J, Burke R, Broccatelli F, van Montfort RLM, Raynaud Fl, Eccles SA, Linardopoulos S, Blagg J, Hoelder S. Introduction of a Methyl Group Curbs Metabolism of Pyrido[3,4-d]pyrimidine Monopolar Spindle 1 (MPS1 ) Inhibitors and Enables the Discovery of the Phase 1 Clinical Candidate N2-(2-Ethoxy-4-(4-methyl-4H-1 ,2,4-triazol-3-yl)phenyl)-6- methyl-N8-neopentylpyrido[3,4-d]pyrimidine-2,8-diamine (BOS172722). Journal of Medicinal Chemistry. 2018;61 (18):8226-40. doi: 10.1021/acs.jmedchem.8b00690.
130. Pan R, Ruvolo V, Mu H, Leverson JD, Nichols G, Reed JC, Konopleva M, Andreeff M. Synthetic Lethality of Combined Bcl-2 Inhibition and p53 Activation in AML: Mechanisms and Superior Antileukemic Efficacy. Cancer Cell. 2017;32(6):748-60.e6. doi: https://doi.Org/10.1016/j.ccell.2017.1 1 .003.
131 . Shah MV, Zhang R, Irby R, Kothapalli R, Liu X, Arrington T, Frank B, Lee NH, Loughran TP, Jr. Molecular profiling of LGL leukemia reveals role of sphingolipid signaling in survival of cytotoxic lymphocytes. Blood. 2008;112(3):770-81 . Epub 20080513. doi: 10.1 182/blood-2007- 11 -121871. PubMed PMID: 18477771 ; PMCID: PMC2481553.
132. Roca-Portoles A, Rodriguez-Blanco G, Sumpton D, Cloix C, Mullin M, Mackay GM, O’Neill K, Lemgruber L, Luo X, Tait SWG. Venetoclax causes metabolic reprogramming independent of BCL-2 inhibition. Cell Death & Disease. 2020;1 1 (8):616. doi: 10.1038/s41419- 020-02867-2.
133. Thijssen R, Diepstraten ST, Moujalled D, Chew E, Flensburg C, Shi MX, Dengler MA, Litalien V, MacRaild S, Chen M, Anstee NS, Reljic B, Gabriel SS, Djajawi TM, Riffkin CD, Aubrey BJ, Chang C, Tai L, Xu Z, Morley T, Pomilio G, Bruedigam C, Kallies A, Stroud DA, Bajel A, Kluck RM, Lane SW, Schoumacher M, Banquet S, Majewski IJ, Strasser A, Roberts AW, Huang DCS, Brown FC, Kelly GL, Wei AH. Intact TP-53 function is essential for sustaining durable responses to BH3-mimetic drugs in leukemias. Blood. 2021 ;137(20):2721 -35. doi: 10.1182/blood.2020010167.

Claims

What is claimed is:
1 . A method of treating a subject diagnosed with TP53mut myeloid neoplasm (TP53mut MN), said method comprising administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
2. A method of treating TP53mut MN in a subject, said method comprising the steps of:
(a) diagnosing the subject with TP53mut MN; and
(b) administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
3. A method of increasing genomic stability in a subject, said method comprising the steps of:
(a) diagnosing the subject with TP53mut MN; and
(b) administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
4. A method of increasing dysfunction of the spindle assembly checkpoint (SAC) in a subject, said method comprising the steps of:
(a) diagnosing the subject with TP53mut MN; and
(b) administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
5. A method of decreasing survival of aneuploidy cells in a subject, said method comprising the steps of:
(a) diagnosing the subject with TP53mut MN; and
(b) administering a threonine tyrosine kinase inhibitor (TTKi) to the subject.
6. A method of preventing progression of TP53mut CCUS (Clonal Cytopenia of Undetermined Significance) to TP53mut MN in a subject, said method comprising administering a TTKi to the subject.
7. A method of restoring venetoclax sensitivity in venetoclax-resistant cells in a subject, said method comprising administering a TTKi to the subject.
8. The method according to any one of the preceding claims, wherein the subject has a complex karyotype.
9. The method according to any one of the preceding claims, wherein the subject has 3, 4, 5, 6, 7, 8, 9, 10 or more chromosomal abnormalities.
10. The method according to any one of claims 8 or 9, wherein the chromosomal abnormality is selected from the group consisting of a chromosomal deletion, duplication, inversion, and translocation.
1 1 . The method according to any one of claims 8-10, wherein the chromosomal abnormalities comprise chromosome 5 abnormalities, chromosome 7 abnormalities, or abnormalities in both chromosome 5 and 7.
12. The method of claim 1 1 , wherein the abnormalities are selected from deletions of chromosomes 5q or 7q.
13. The method of any one of claims 8-10, wherein the TP53mut phenotype comprises one or more of T125_splice, H179, Y220, R175, R213, G245, R248, R273, and R282 mutations in the TP53 gene.
14. The method according to any one of the preceding claims, wherein the TP53mut MN is selected from the group consisting of relapsed/refractory MN, myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML).
15. The method according to any one of the preceding claims, wherein the TTKi is selected from the group consisting of CFI-402257, S-81694, BAY-1217389, BOS-172722, CC-671 , OSU-13se, VRN-081569, Empesertib, BAL-0891 , CCT-251455, CFI-401870, MPI-0479605, and NTRC-0066-0
16. The method of claim 15 wherein the TTKi is CFI-402257.
17. The method according to any one of the preceding claims, further comprising administering at least one additional therapeutic agent in combination with the TTKi.
18. The method of claim 17 wherein the at least one additional therapeutic agent is selected from the group consisting of a BCL-2 inhibitor, intensive chemotherapy (doxorubicin, daunorubicin, idarubicin, cytarabine, azacitidine, decitabine), and a stem cell transplant.
19. The method of claim 18, wherein the additional therapeutic agent is a BCL-2 inhibitor selected from the group consisting of venetoclax, navitoclax, obatoclax, and oblimersen sodium.
20. The method of claim 19 wherein the BCL-2 inhibitor is venetoclax.
PCT/US2025/020519 2024-03-21 2025-03-19 Compositions and methods for treating tp53-mutated myeloid neoplasms Pending WO2025199203A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202463568060P 2024-03-21 2024-03-21
US63/568,060 2024-03-21

Publications (1)

Publication Number Publication Date
WO2025199203A1 true WO2025199203A1 (en) 2025-09-25

Family

ID=97140182

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2025/020519 Pending WO2025199203A1 (en) 2024-03-21 2025-03-19 Compositions and methods for treating tp53-mutated myeloid neoplasms

Country Status (1)

Country Link
WO (1) WO2025199203A1 (en)

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
CHAN CERISE YUEN-KI, DAVID KUNG-CHUN CHIU , VINCENT WAI-HIN YUEN, CHEUK-TING LAW: "CFI-402257, a TTK inhibitor, effectively suppresses hepatocellular carcinoma", PNAS, vol. 119, no. 32, 1 January 2022 (2022-01-01), pages 1 - 11, XP093361112 *
PROCHAZKA KATHARINA T., PREGARTNER GUDRUN, RÜCKER FRANK G., HEITZER ELLEN, PABST GABRIEL, WÖLFLER ALBERT, ZEBISCH ARMIN, BERGHOLD : "Clinical implications of subclonal TP53 mutations in acute myeloid leukemia", HAEMATOLOGICA, vol. 104, no. 3, 1 March 2019 (2019-03-01), pages 516 - 523, XP093361113, ISSN: 0390-6078, DOI: 10.3324/haematol.2018.205013 *

Similar Documents

Publication Publication Date Title
Gralewska et al. Participation of the ATR/CHK1 pathway in replicative stress targeted therapy of high-grade ovarian cancer
Minzel et al. Small molecules co-targeting CKIα and the transcriptional kinases CDK7/9 control AML in preclinical models
Esposito et al. Neuroblastoma treatment in the post-genomic era
Turner et al. Advances in the treatment of advanced oestrogen-receptor-positive breast cancer
Marubayashi et al. HSP90 is a therapeutic target in JAK2-dependent myeloproliferative neoplasms in mice and humans
Traweek et al. Targeting the MDM2-p53 pathway in dedifferentiated liposarcoma
Dancsok et al. Advances in sarcoma diagnostics and treatment
Olivas-Aguirre et al. Overcoming glucocorticoid resistance in acute lymphoblastic leukemia: repurposed drugs can improve the protocol
Kudryavtseva et al. Important molecular genetic markers of colorectal cancer
Inamdar et al. Mantle cell lymphoma in the era of precision medicine-diagnosis, biomarkers and therapeutic agents
Van Linden et al. Inhibition of Wee1 sensitizes cancer cells to antimetabolite chemotherapeutics in vitro and in vivo, independent of p53 functionality
Grinkevich et al. Ablation of key oncogenic pathways by RITA-reactivated p53 is required for efficient apoptosis
Tsuji et al. CC-115, a dual inhibitor of mTOR kinase and DNA-PK, blocks DNA damage repair pathways and selectively inhibits ATM-deficient cell growth in vitro
US10111897B2 (en) Compositions and methods for treating cancer with JAK2 activity
JP2022034068A (en) Methods and Compositions for Treating Non-ERK MAPK Path Inhibitor Resistant Cancers
Kung et al. Targeted therapy for pancreatic ductal adenocarcinoma: Mechanisms and clinical study
Maloney et al. Down syndrome preleukemia and leukemia
US12290521B2 (en) Methods and materials for identifying and treating BET inhibitor-resistant cancers
Haratake et al. The mechanisms of resistance to second-and third-generation ALK inhibitors and strategies to overcome such resistance
Zhang et al. A focused review of hematopoietic neoplasms occurring in the therapy-related setting
Pallis et al. The multi‐kinase inhibitor TG 02 overcomes signalling activation by survival factors to deplete MCL 1 and XIAP and induce cell death in primary acute myeloid leukaemia cells
Modak et al. Targeting CCL2/CCR2 signaling overcomes MEK inhibitor resistance in acute myeloid leukemia
Ladd et al. Effective combination therapies in preclinical endocrine resistant breast cancer models harboring ER mutations
CN117295825A (en) Biomarkers for cancer treatment using MDM2 antagonists
Ghamlouch et al. Chronic lymphocytic leukaemia genomics and the precision medicine era

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 25774417

Country of ref document: EP

Kind code of ref document: A1