GB2619478A - Treatment of ovarian cancer minimal residual disease - Google Patents
Treatment of ovarian cancer minimal residual disease Download PDFInfo
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- GB2619478A GB2619478A GB2314598.0A GB202314598A GB2619478A GB 2619478 A GB2619478 A GB 2619478A GB 202314598 A GB202314598 A GB 202314598A GB 2619478 A GB2619478 A GB 2619478A
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- 208000007660 Residual Neoplasm Diseases 0.000 title claims abstract 36
- 206010033128 Ovarian cancer Diseases 0.000 title claims abstract 25
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Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/574—Immunoassay; Biospecific binding assay; Materials therefor for cancer
- G01N33/57407—Specifically defined cancers
- G01N33/57449—Specifically defined cancers of ovaries
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/52—Predicting or monitoring the response to treatment, e.g. for selection of therapy based on assay results in personalised medicine; Prognosis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/54—Determining the risk of relapse
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Immunology (AREA)
- Urology & Nephrology (AREA)
- Hematology (AREA)
- Biomedical Technology (AREA)
- Chemical & Material Sciences (AREA)
- Molecular Biology (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Cell Biology (AREA)
- Hospice & Palliative Care (AREA)
- Biotechnology (AREA)
- Food Science & Technology (AREA)
- Oncology (AREA)
- Microbiology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Pathology (AREA)
- Acyclic And Carbocyclic Compounds In Medicinal Compositions (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Medicines That Contain Protein Lipid Enzymes And Other Medicines (AREA)
Abstract
The present invention relates to a method of preventing or treating ovarian cancer minimal residual disease (MRD) in a subject. The invention relates to administering an effective amount of an agent which reduces intracellular lipid metabolism, particularly an agent which reduces fatty acid metabolism. The invention also relates to a method of obtaining an indication of the risk to a subject of having or developing a MRD.
Claims (27)
1 . An agent which reduces intracellular lipid metabolism for use in preventing or treating ovarian cancer minimal residual disease (MRD) in a human subject.
2. A method of preventing or treating ovarian cancer minimal residual disease (MRD) in a human subject, the method comprising administering an effective amount of an agent which reduces intracellular lipid metabolism to a subject in need thereof.
3. Use of an agent which reduces intracellular lipid metabolism in the manufacture of a medicament for preventing or treating ovarian cancer minimal residual disease (MRD) in a human subject.
4. A method of obtaining an indication of the risk of a human subject who has previously been treated for ovarian cancer of subsequently having or developing MRD, the method comprising the steps: (a) determining a first level of a lipid metabolism biomarker in a sample of MRD cells obtained from the subject; (b) comparing the first level with a second level of the lipid metabolism biomarker, wherein the second level of lipid metabolism biomarker has been obtained from: (i) a sample of control cells obtained from a control subject or site, or (ii) a reference level; wherein an increase in the first level of lipid metabolism biomarker compared to the second level of lipid metabolism biomarker is indicative of an increased risk of the subject of having or developing MRD.
5. A method of treating ovarian cancer MRD in a human subject, the method comprising the steps of: (a) determining the level of a lipid metabolism biomarker in MRD cells obtained from the subject; (b) comparing the level of lipid biomarker with a reference level; and (c) administering a treatment appropriate for treating ovarian cancer MRD to the subject if the level of lipid metabolism biomarker is above the reference level, thereby treating the ovarian cancer MRD in the human subject.
6. A method of classifying a human subject into an ovarian cancer MRD subgroup, the method comprising the steps: (a) determining the levels of one or more lipid metabolism biomarkers in a sample of MRD cells obtained from the human subject; and (b) classifying the human subject as belonging to an ovarian cancer MRD subgroup based on the levels of the one or more lipid metabolism biomarkers.
7. A method of obtaining an indication of the prognosis of ovarian cancer MRD in a human subject, the method comprising the steps: (a) determining the level of a lipid metabolism biomarker in a sample of MRD cells obtained from the human subject at a first time point and; (b) determining the level of the corresponding lipid metabolism biomarker in a corresponding second sample of MRD cells obtained from the subject at a second (later) time point; wherein an increase in the second level of lipid metabolism biomarker compared to the first level of lipid metabolism biomarker is indicative of a decline in the prognosis of the subject, and wherein a decrease in the second level of lipid metabolism biomarker compared to the first level of lipid metabolism biomarker is indicative of an improvement in the prognosis of the subject.
8. A method of obtaining an indication of the efficacy of a drug which is being used to treat ovarian cancer MRD in a human subject, the method comprising the steps: (a) determining the level a lipid metabolism biomarker in a sample of MRD cells obtained from the human subject at a first time point; and (b) determining the level of the corresponding lipid metabolism biomarker in a corresponding second sample of MRD cells obtained from the subject at a second (later) time point; wherein the drug has been administered to the subject in the interval between the first and second time points, wherein an increase in the second level of lipid metabolism biomarker compared to the first level of lipid metabolism biomarker is indicative of a lack of efficacy of the drug, and wherein a decrease in the second level of lipid metabolism biomarker compared to the first level of lipid metabolism biomarker is indicative of the efficacy of the drug.
9. A method of screening for agents for preventing and/or treating ovarian cancer MRD in a human subject, the method comprising the step: (a) screening for agents which specifically inhibit or reduce the level of intracellular expression of lipid metabolism biomarkers, wherein agents which are identified are ones for preventing and/or treating ovarian cancer MRD.
10. A method as claimed in any one of claims 4 to 9, wherein: (i) the biomarker is a gene, and the level of the biomarker is the expression level of the gene; or (ii) the biomarker is a polypeptide, and the level of the biomarker is the quantity of polypeptide or activity level of the polypeptide.
11. An agent, method or use as claimed in any one of the preceding claims, wherein: (i) the agent is one which reduces fatty acid metabolism, or (ii) the biomarker is one which is involved in fatty acid metabolism.
12. An agent, method or use as claimed in claim 11 , wherein the fatty acid metabolism is: (i) the uptake of fatty acids, (ii) the storage of fatty acids, (iii) the synthesis of fatty acids, or (iv) the catabolism or oxidation of fatty acids.
13. An agent, method or use as claimed in claim 11 or claim 12, wherein the fatty acid is a saturated fatty acid, an unsaturated fatty acid or an essential fatty acid.
14. An agent, method or use as claimed in any one of the preceding claims, wherein: (i) the agent is one which reduces or inhibits the uptake of fatty acids (preferably wherein the agent reduces or inhibits a fatty acid transfer protein); or (ii) the biomarker is one which is involved in the uptake of fatty acids (preferably wherein the biomarker is or encodes a fatty acid transfer protein).
15. An agent, method or use as claimed in claim 14, wherein: (i) the agent is one which reduces or inhibits expression of one or more of: CD36 (cluster of differentiation 36 / fatty acid translocase), FABP2 (fatty acid binding protein 2), FABP4 (fatty acid binding protein 4), FABP5 (fatty acid binding protein 5), LPL (lipoprotein lipase) and PPARA (peroxisome proliferator-activated receptor alpha); or (ii) the biomarker is or encodes one or more of the polypeptides given in (i).
16. An agent as claimed in claim 14, wherein the agent is an FATP inhibitor, preferably Grassofermata.
17. An agent, method or use as claimed in any one of claims 1 -13, wherein: (i) the agent is one which reduces or inhibits the storage of fatty acids (preferably wherein the agent reduces or inhibits a Perilipin); or (ii) the biomarker is one which is involved in fatty acid storage (preferably wherein the biomarker is or encodes a Perilipin).
18. An agent, method or use as claimed in claim 17, wherein: (i) the agent is one which reduces or inhibits expression of one or more of: PLIN1 (lipid droplet-associated protein 1) PLIN4 (lipid droplet-associated protein 4) and PLIN5 (lipid droplet-associated protein 5); or (ii) the biomarker is or encodes one or more of the polypeptides given in (i).
19. An agent, method or use as claimed in any one of claims 1 -13, wherein: (i) the agent is one which reduces or inhibits fatty acid synthesis (preferably wherein the agent reduces or inhibits a fatty acid synthase); or (ii) the biomarker is one which is involved in fatty acid synthesis (preferably wherein the biomarker is or encodes a fatty acid synthase).
20. An agent, method or use as claimed in claim 19, wherein: (i) the agent is one which reduces or inhibits expression of one or more of: FASN (fatty acid synthase), FADS3 (fatty acid desaturase 3), ACACB (Acetyl-CoA carboxylase 2) and SCD (Stearoyl-CoA desaturase); or (ii) the biomarker is or encodes one or more of the polypeptides given in (i).
21. An agent as claimed in claim 19 or claim 20, wherein the agent is a fatty acid synthase inhibitor, preferably C75, TVB-3664, TVB-2640 or FT113.
22. An agent, method or use as claimed in any one of claims 1-13, wherein: (i) the agent is one which reduces or inhibits fatty acid catabolism or oxidation (preferably wherein the agent reduces or inhibits a lipase or carnitine palmitoyltransferase); or (ii) the biomarker one which is involved in fatty acid catabolism or oxidation (preferably wherein the biomarker is or encodes a lipase or carnitine palmitoyltransferase).
23. An agent, method or use as claimed in claim 22, wherein: (i) the agent is one which reduces or inhibits expression of one or more of: ACADL (Acyl-CoA dehydrogenase long chain), ACADM (acyl-CoA dehydrogenase medium chain), ACADSB (acyl-CoA dehydrogenase short/branched chain), ACSL1 (Acyl-CoA synthetase long-chain 1), ACSL6 (Acyl-CoA synthetase long-chain 6), CPT1A or CPT1 (carnitine palmitoyl transferase), PPARA (peroxisome proliferator-activated receptor alpha) and PPARGC1A (peroxisome proliferator-activated receptor gamma); or (ii) the biomarker is or encodes one or more of the polypeptides given in (i).
24. An agent as claimed in claim 22 or claim 23, wherein the agent is selected from the group consisting of Etomoxir, Perhexiline, Trimetazidine and Ranolazine; or is valproic acid.
25. A process for identifying and/or isolating T cells which are capable of recognising ovarian cancer MRD cells in a human subject, the process comprising the steps: (a) identifying a non-synonymous mutation in a polypeptide-encoding gene in the nuclear or mitochondrial genome of the subjectâ s ovarian cancer MRD cells, wherein the mutation is one which is not present in the corresponding gene in the nuclear or mitochondrial genomes of cells of the subjectâ s ovarian cancer and/or non-cancer tissues, wherein the polypeptide is one which is involved in intracellular lipid metabolism, and wherein the polypeptide is a mitochondrial polypeptide; (b) identifying a plurality of fragments of the polypeptide which are encoded by the gene having the non-synonymous mutation, wherein each fragment has an amino acid sequence which spans the site of the mutated amino acid(s), and wherein each fragment is capable of being presented by a mammalian MHC1 molecule; (c) contacting a population of cells from the subject with one or more of the plurality of fragments, wherein the population of cells comprises T cells; and (d) identifying and/or isolating T cells from within the population of cells which recognise one or more of the plurality of fragments, wherein the T cells which are identified and/or isolated in Step (d) are T cells which are capable of recognising ovarian cancer MRD cancer cells in the subject.
26. A method of identifying a peptide neo-antigen for use in cancer immunotherapy in a human subject having ovarian cancer MRD cells, the method comprising the steps: (a) identifying a non-synonymous mutation in a polypeptide-encoding gene in the nuclear or mitochondrial genome of the subjectâ s ovarian cancer MRD cells, wherein the mutation is one which is not present in the corresponding gene in the nuclear or mitochondrial genomes of cells of the subjectâ s ovarian cancer and/or non-cancer tissues, wherein the polypeptide is one which is involved in intracellular lipid metabolism, and wherein the polypeptide is a mitochondrial polypeptide; (b) identifying a plurality of fragments of the polypeptide which are encoded by the gene having the non-synonymous mutation, wherein each fragment has an amino acid sequence which spans the site of the mutated amino acid(s), and wherein each fragment is capable of being presented by a mammalian MHC1 molecule; (c) contacting a population of cells from the subject with one or more of the plurality of fragments, wherein the population of cells comprises T cells; and (d) identifying fragments which are capable of stimulating T cells within the population of cells, wherein fragments which are identified in Step (d) are peptides which are suitable for use in cancer immunotherapy in the subject.
27. A method of determining the status of high-grade serous ovarian carcinoma (HGSOC) MRD cells in a subject, the method comprising: providing a sample of ovarian cancer MRD cells obtained from the subject; and detecting the presence of HGSOC biomarkers in the sample, wherein the method comprises detecting the presence of: (i) a differentiated cell type by detecting one or more of differentiated cell biomarker proteins and/or nucleic acid encoding differentiated cell biomarker proteins selected from the group comprising LTBP4, PTGS1 , SLC25A25, LAMC2, LRG1 , DHCR24, PLK3 and LDLR; (ii) a KRT17 Cluster cell type by detecting one or more of KRT17 Cluster cell biomarker proteins and/or nucleic acid encoding KRT17 Cluster cell biomarker proteins selected from the group comprising SPP1 , IL1 B, IL1 RN, KRT23, ALDH3B2, SUSD2, DEFB1 , HLA-DQA2, CYP4B1 , and PIGR; (iii) an epithelial-mesenchymal transition (EMT) cell type by detecting one or more of epithelial-mesenchymal transition (EMT) biomarker proteins and/or nucleic acid encoding EMT biomarker proteins selected from the group comprising SPARC, SERPINF1 , DCN, SFRP4, CRISPLD2, TIMP3, CNN1 , MYH11 , MFAP4, ENG, EFEMP1 , and RGS 16; (iv) a cell cycle cell type by detecting one or more of cell cycle biomarker proteins and/or nucleic acid encoding cell cycle biomarker proteins selected from the group comprising FEN1 , NUSAP1 , UBE2C, ZWINT, PRC1 , ASF1 B, MCM4, GINS2, CENPM, MCM2, TK1 , MCM6, SMC4, CENPU, and MAD2L1 ; and (v) a ciliated cell type by detecting one or more of ciliated cell biomarker proteins and/or nucleic acid encoding ciliated cell biomarker proteins selected from the group comprising TEKT1 , FAM92B, SNTN, LRRC46, EFCAB 1 , CDHR3, C6orf118, CCDC78, TUBA4B, C20orf85 and CAPSL; wherein the level of the biomarkers is used to determine the fraction of EMT cells in the high-grade serous ovarian carcinoma MRD cells in the subject.
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GBGB2102606.7A GB202102606D0 (en) | 2021-02-24 | 2021-02-24 | Treatment of ovarian cancer minimal residual disease |
PCT/GB2022/050497 WO2022180393A2 (en) | 2021-02-24 | 2022-02-23 | Treatment of ovarian cancer minimal residual disease |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2003024442A2 (en) * | 2001-09-18 | 2003-03-27 | G2M Cancer Drugs Ag | Valproic acid and derivatives for the combinatorial therapeutic treatment of human cancers and for the treatment of tumor metastasis and minimal residual disease |
US20190142835A1 (en) * | 2017-11-14 | 2019-05-16 | Oregon Health & Science University | Inhibition of autophagy using phospholipase a2 inhibitors |
WO2020065023A1 (en) * | 2018-09-27 | 2020-04-02 | Vaccibody As | Method for selecting neoepitopes |
WO2020174211A1 (en) * | 2019-02-27 | 2020-09-03 | Oxford University Innovation Limited | High-grade serous ovarian carcinoma (hgsoc) |
-
2021
- 2021-02-24 GB GBGB2102606.7A patent/GB202102606D0/en not_active Ceased
-
2022
- 2022-02-23 GB GB2314598.0A patent/GB2619478A/en active Pending
- 2022-02-23 WO PCT/GB2022/050497 patent/WO2022180393A2/en active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2003024442A2 (en) * | 2001-09-18 | 2003-03-27 | G2M Cancer Drugs Ag | Valproic acid and derivatives for the combinatorial therapeutic treatment of human cancers and for the treatment of tumor metastasis and minimal residual disease |
US20190142835A1 (en) * | 2017-11-14 | 2019-05-16 | Oregon Health & Science University | Inhibition of autophagy using phospholipase a2 inhibitors |
WO2020065023A1 (en) * | 2018-09-27 | 2020-04-02 | Vaccibody As | Method for selecting neoepitopes |
WO2020174211A1 (en) * | 2019-02-27 | 2020-09-03 | Oxford University Innovation Limited | High-grade serous ovarian carcinoma (hgsoc) |
Non-Patent Citations (1)
Title |
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ANDREA GARCIA-GARIJO ET AL, "Determinants for Neoantigen Identification", FRONTIERS IN IMMUNOLOGY, vol. 10, no.1392,(2019-06-24),pages 1 - 19, doi:10.3389/fimmu.2019.01.01392 * abstract * * |
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GB202102606D0 (en) | 2021-04-07 |
WO2022180393A2 (en) | 2022-09-01 |
GB202314598D0 (en) | 2023-11-08 |
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