CN116837103A - ZFHX3 gene mutation can be used as SCLC immune therapeutic biomarker - Google Patents
ZFHX3 gene mutation can be used as SCLC immune therapeutic biomarker Download PDFInfo
- Publication number
- CN116837103A CN116837103A CN202310988909.1A CN202310988909A CN116837103A CN 116837103 A CN116837103 A CN 116837103A CN 202310988909 A CN202310988909 A CN 202310988909A CN 116837103 A CN116837103 A CN 116837103A
- Authority
- CN
- China
- Prior art keywords
- sclc
- biomarker
- zfhx3
- immunotherapy
- mutation
- 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
Links
- 206010041067 Small cell lung cancer Diseases 0.000 title claims abstract description 71
- 239000000090 biomarker Substances 0.000 title claims abstract description 31
- 101100214311 Homo sapiens ZFHX3 gene Proteins 0.000 title claims abstract description 26
- 101150036297 ZFHX3 gene Proteins 0.000 title claims abstract description 26
- 206010064571 Gene mutation Diseases 0.000 title abstract description 23
- 230000001225 therapeutic effect Effects 0.000 title description 3
- 238000009169 immunotherapy Methods 0.000 claims abstract description 26
- 238000004393 prognosis Methods 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims abstract description 6
- 239000003153 chemical reaction reagent Substances 0.000 claims description 14
- 239000000523 sample Substances 0.000 claims description 7
- 230000035945 sensitivity Effects 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 claims description 4
- 238000002360 preparation method Methods 0.000 claims description 4
- 238000009007 Diagnostic Kit Methods 0.000 claims description 2
- 238000011161 development Methods 0.000 claims description 2
- 239000002955 immunomodulating agent Substances 0.000 claims description 2
- 108020004707 nucleic acids Proteins 0.000 claims description 2
- 150000007523 nucleic acids Chemical class 0.000 claims description 2
- 102000039446 nucleic acids Human genes 0.000 claims description 2
- 238000012216 screening Methods 0.000 claims description 2
- 239000003795 chemical substances by application Substances 0.000 claims 1
- 238000002651 drug therapy Methods 0.000 claims 1
- 206010028980 Neoplasm Diseases 0.000 abstract description 31
- 230000035772 mutation Effects 0.000 abstract description 24
- 238000004458 analytical method Methods 0.000 abstract description 16
- 230000008901 benefit Effects 0.000 abstract description 13
- 238000012163 sequencing technique Methods 0.000 abstract description 11
- 238000011282 treatment Methods 0.000 abstract description 11
- 101000744900 Homo sapiens Zinc finger homeobox protein 3 Proteins 0.000 abstract description 9
- 102100039966 Zinc finger homeobox protein 3 Human genes 0.000 abstract description 9
- 230000001575 pathological effect Effects 0.000 abstract description 4
- 230000036039 immunity Effects 0.000 abstract description 3
- 238000012360 testing method Methods 0.000 abstract description 3
- 239000013610 patient sample Substances 0.000 abstract 1
- 208000002154 non-small cell lung carcinoma Diseases 0.000 description 12
- 208000029729 tumor suppressor gene on chromosome 11 Diseases 0.000 description 11
- 229940079593 drug Drugs 0.000 description 10
- 239000003814 drug Substances 0.000 description 10
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 description 10
- 230000004083 survival effect Effects 0.000 description 10
- 108091032973 (ribonucleotides)n+m Proteins 0.000 description 7
- 208000000587 small cell lung carcinoma Diseases 0.000 description 7
- 206010058467 Lung neoplasm malignant Diseases 0.000 description 6
- 201000005202 lung cancer Diseases 0.000 description 6
- 208000020816 lung neoplasm Diseases 0.000 description 6
- 210000001519 tissue Anatomy 0.000 description 6
- 208000010507 Adenocarcinoma of Lung Diseases 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 208000037967 hot tumor Diseases 0.000 description 5
- 201000005249 lung adenocarcinoma Diseases 0.000 description 5
- 229910052697 platinum Inorganic materials 0.000 description 5
- 238000002560 therapeutic procedure Methods 0.000 description 5
- 108020004414 DNA Proteins 0.000 description 4
- 229940076838 Immune checkpoint inhibitor Drugs 0.000 description 4
- 108091008026 Inhibitory immune checkpoint proteins Proteins 0.000 description 4
- 102000037984 Inhibitory immune checkpoint proteins Human genes 0.000 description 4
- 238000002512 chemotherapy Methods 0.000 description 4
- 201000010099 disease Diseases 0.000 description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 4
- 239000012274 immune-checkpoint protein inhibitor Substances 0.000 description 4
- 230000001024 immunotherapeutic effect Effects 0.000 description 4
- 230000037361 pathway Effects 0.000 description 4
- 108090000623 proteins and genes Proteins 0.000 description 4
- 238000003559 RNA-seq method Methods 0.000 description 3
- 201000011510 cancer Diseases 0.000 description 3
- 208000037966 cold tumor Diseases 0.000 description 3
- 238000012217 deletion Methods 0.000 description 3
- 230000037430 deletion Effects 0.000 description 3
- 238000010201 enrichment analysis Methods 0.000 description 3
- VJJPUSNTGOMMGY-MRVIYFEKSA-N etoposide Chemical compound COC1=C(O)C(OC)=CC([C@@H]2C3=CC=4OCOC=4C=C3[C@@H](O[C@H]3[C@@H]([C@@H](O)[C@@H]4O[C@H](C)OC[C@H]4O3)O)[C@@H]3[C@@H]2C(OC3)=O)=C1 VJJPUSNTGOMMGY-MRVIYFEKSA-N 0.000 description 3
- 229960005420 etoposide Drugs 0.000 description 3
- 238000003780 insertion Methods 0.000 description 3
- 230000037431 insertion Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 108010074708 B7-H1 Antigen Proteins 0.000 description 2
- 102000008096 B7-H1 Antigen Human genes 0.000 description 2
- 102100025064 Cellular tumor antigen p53 Human genes 0.000 description 2
- 102000013701 Cyclin-Dependent Kinase 4 Human genes 0.000 description 2
- 108010025464 Cyclin-Dependent Kinase 4 Proteins 0.000 description 2
- 102000013698 Cyclin-Dependent Kinase 6 Human genes 0.000 description 2
- 108010025468 Cyclin-Dependent Kinase 6 Proteins 0.000 description 2
- 206010059866 Drug resistance Diseases 0.000 description 2
- 102100027755 Histone-lysine N-methyltransferase 2C Human genes 0.000 description 2
- 102100027768 Histone-lysine N-methyltransferase 2D Human genes 0.000 description 2
- 101001008892 Homo sapiens Histone-lysine N-methyltransferase 2C Proteins 0.000 description 2
- 101001008894 Homo sapiens Histone-lysine N-methyltransferase 2D Proteins 0.000 description 2
- 101000824318 Homo sapiens Protocadherin Fat 1 Proteins 0.000 description 2
- 206010027476 Metastases Diseases 0.000 description 2
- ZDZOTLJHXYCWBA-VCVYQWHSSA-N N-debenzoyl-N-(tert-butoxycarbonyl)-10-deacetyltaxol Chemical compound O([C@H]1[C@H]2[C@@](C([C@H](O)C3=C(C)[C@@H](OC(=O)[C@H](O)[C@@H](NC(=O)OC(C)(C)C)C=4C=CC=CC=4)C[C@]1(O)C3(C)C)=O)(C)[C@@H](O)C[C@H]1OC[C@]12OC(=O)C)C(=O)C1=CC=CC=C1 ZDZOTLJHXYCWBA-VCVYQWHSSA-N 0.000 description 2
- 206010052399 Neuroendocrine tumour Diseases 0.000 description 2
- 108020004485 Nonsense Codon Proteins 0.000 description 2
- 229930012538 Paclitaxel Natural products 0.000 description 2
- 102100022095 Protocadherin Fat 1 Human genes 0.000 description 2
- 108010078814 Tumor Suppressor Protein p53 Proteins 0.000 description 2
- 238000007792 addition Methods 0.000 description 2
- 229940061435 adebrelimab Drugs 0.000 description 2
- 230000030741 antigen processing and presentation Effects 0.000 description 2
- 229960003852 atezolizumab Drugs 0.000 description 2
- 238000002619 cancer immunotherapy Methods 0.000 description 2
- 210000004027 cell Anatomy 0.000 description 2
- 229960003668 docetaxel Drugs 0.000 description 2
- 229950009791 durvalumab Drugs 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 210000002322 enterochromaffin cell Anatomy 0.000 description 2
- 210000000981 epithelium Anatomy 0.000 description 2
- 230000037433 frameshift Effects 0.000 description 2
- SDUQYLNIPVEERB-QPPQHZFASA-N gemcitabine Chemical compound O=C1N=C(N)C=CN1[C@H]1C(F)(F)[C@H](O)[C@@H](CO)O1 SDUQYLNIPVEERB-QPPQHZFASA-N 0.000 description 2
- 229960005277 gemcitabine Drugs 0.000 description 2
- 210000002865 immune cell Anatomy 0.000 description 2
- 238000002649 immunization Methods 0.000 description 2
- 230000003053 immunization Effects 0.000 description 2
- 238000013394 immunophenotyping Methods 0.000 description 2
- 239000003112 inhibitor Substances 0.000 description 2
- 230000002401 inhibitory effect Effects 0.000 description 2
- 238000011221 initial treatment Methods 0.000 description 2
- UWKQSNNFCGGAFS-XIFFEERXSA-N irinotecan Chemical compound C1=C2C(CC)=C3CN(C(C4=C([C@@](C(=O)OC4)(O)CC)C=4)=O)C=4C3=NC2=CC=C1OC(=O)N(CC1)CCC1N1CCCCC1 UWKQSNNFCGGAFS-XIFFEERXSA-N 0.000 description 2
- 229960004768 irinotecan Drugs 0.000 description 2
- 230000036210 malignancy Effects 0.000 description 2
- 230000009401 metastasis Effects 0.000 description 2
- 230000036438 mutation frequency Effects 0.000 description 2
- 208000016065 neuroendocrine neoplasm Diseases 0.000 description 2
- 201000011519 neuroendocrine tumor Diseases 0.000 description 2
- 230000037434 nonsense mutation Effects 0.000 description 2
- 229960001592 paclitaxel Drugs 0.000 description 2
- 238000010837 poor prognosis Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000000391 smoking effect Effects 0.000 description 2
- 206010041823 squamous cell carcinoma Diseases 0.000 description 2
- 230000008685 targeting Effects 0.000 description 2
- RCINICONZNJXQF-MZXODVADSA-N taxol Chemical compound O([C@@H]1[C@@]2(C[C@@H](C(C)=C(C2(C)C)[C@H](C([C@]2(C)[C@@H](O)C[C@H]3OC[C@]3([C@H]21)OC(C)=O)=O)OC(=O)C)OC(=O)[C@H](O)[C@@H](NC(=O)C=1C=CC=CC=1)C=1C=CC=CC=1)O)C(=O)C1=CC=CC=C1 RCINICONZNJXQF-MZXODVADSA-N 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- NQUUPTGRJYIXSL-YPDXTJLXSA-N (2R)-3-[(3R)-1-[3-[2-[2-[2-[2-[2-[2-[2-[2-[3-[[(2S)-1-[[(2S)-1-[4-[[(6S,6aS)-3-[5-[[(6aS)-2-methoxy-8-methyl-11-oxo-6a,7-dihydropyrrolo[2,1-c][1,4]benzodiazepin-3-yl]oxy]pentoxy]-6-hydroxy-2-methoxy-8-methyl-11-oxo-6a,7-dihydro-6H-pyrrolo[2,1-c][1,4]benzodiazepine-5-carbonyl]oxymethyl]anilino]-1-oxopropan-2-yl]amino]-3-methyl-1-oxobutan-2-yl]amino]-3-oxopropoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethoxy]ethylamino]-3-oxopropyl]-2,5-dioxopyrrolidin-3-yl]sulfanyl-2-aminopropanoic acid Chemical compound COc1cc2c(cc1OCCCCCOc1cc3N([C@@H](O)[C@@H]4CC(C)=CN4C(=O)c3cc1OC)C(=O)OCc1ccc(NC(=O)[C@H](C)NC(=O)[C@@H](NC(=O)CCOCCOCCOCCOCCOCCOCCOCCOCCNC(=O)CCN3C(=O)C[C@@H](SC[C@H](N)C(O)=O)C3=O)C(C)C)cc1)N=C[C@@H]1CC(C)=CN1C2=O NQUUPTGRJYIXSL-YPDXTJLXSA-N 0.000 description 1
- 102100033793 ALK tyrosine kinase receptor Human genes 0.000 description 1
- 102100022142 Achaete-scute homolog 1 Human genes 0.000 description 1
- 239000012664 BCL-2-inhibitor Substances 0.000 description 1
- 229940123711 Bcl2 inhibitor Drugs 0.000 description 1
- 101100005789 Caenorhabditis elegans cdk-4 gene Proteins 0.000 description 1
- 102100036466 Delta-like protein 3 Human genes 0.000 description 1
- 101000901099 Homo sapiens Achaete-scute homolog 1 Proteins 0.000 description 1
- 101000928513 Homo sapiens Delta-like protein 3 Proteins 0.000 description 1
- 101000572976 Homo sapiens POU domain, class 2, transcription factor 3 Proteins 0.000 description 1
- 101000606537 Homo sapiens Receptor-type tyrosine-protein phosphatase delta Proteins 0.000 description 1
- 108010074328 Interferon-gamma Proteins 0.000 description 1
- 102000008070 Interferon-gamma Human genes 0.000 description 1
- 238000010824 Kaplan-Meier survival analysis Methods 0.000 description 1
- 108090000484 Kelch-Like ECH-Associated Protein 1 Proteins 0.000 description 1
- 102000004034 Kelch-Like ECH-Associated Protein 1 Human genes 0.000 description 1
- 101150105104 Kras gene Proteins 0.000 description 1
- 239000002147 L01XE04 - Sunitinib Substances 0.000 description 1
- 108091092878 Microsatellite Proteins 0.000 description 1
- 239000012661 PARP inhibitor Substances 0.000 description 1
- 102100026466 POU domain, class 2, transcription factor 3 Human genes 0.000 description 1
- 229940121906 Poly ADP ribose polymerase inhibitor Drugs 0.000 description 1
- 239000013614 RNA sample Substances 0.000 description 1
- 150000001413 amino acids Chemical class 0.000 description 1
- 230000002424 anti-apoptotic effect Effects 0.000 description 1
- 239000000427 antigen Substances 0.000 description 1
- 108091007433 antigens Proteins 0.000 description 1
- 102000036639 antigens Human genes 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229960000397 bevacizumab Drugs 0.000 description 1
- 230000024245 cell differentiation Effects 0.000 description 1
- 210000003690 classically activated macrophage Anatomy 0.000 description 1
- 238000007621 cluster analysis Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 229940127276 delta-like ligand 3 Drugs 0.000 description 1
- 210000004443 dendritic cell Anatomy 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000001627 detrimental effect Effects 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003511 endothelial effect Effects 0.000 description 1
- 102000052116 epidermal growth factor receptor activity proteins Human genes 0.000 description 1
- 108700015053 epidermal growth factor receptor activity proteins Proteins 0.000 description 1
- 230000003631 expected effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000008088 immune pathway Effects 0.000 description 1
- 238000003018 immunoassay Methods 0.000 description 1
- 230000008595 infiltration Effects 0.000 description 1
- 238000001764 infiltration Methods 0.000 description 1
- 229960003130 interferon gamma Drugs 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 239000003446 ligand Substances 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 201000005243 lung squamous cell carcinoma Diseases 0.000 description 1
- 238000012009 microbiological test Methods 0.000 description 1
- 238000010369 molecular cloning Methods 0.000 description 1
- 230000000869 mutational effect Effects 0.000 description 1
- YOHYSYJDKVYCJI-UHFFFAOYSA-N n-[3-[[6-[3-(trifluoromethyl)anilino]pyrimidin-4-yl]amino]phenyl]cyclopropanecarboxamide Chemical compound FC(F)(F)C1=CC=CC(NC=2N=CN=C(NC=3C=C(NC(=O)C4CC4)C=CC=3)C=2)=C1 YOHYSYJDKVYCJI-UHFFFAOYSA-N 0.000 description 1
- 239000002773 nucleotide Substances 0.000 description 1
- 125000003729 nucleotide group Chemical group 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- QOFFJEBXNKRSPX-ZDUSSCGKSA-N pemetrexed Chemical compound C1=N[C]2NC(N)=NC(=O)C2=C1CCC1=CC=C(C(=O)N[C@@H](CCC(O)=O)C(O)=O)C=C1 QOFFJEBXNKRSPX-ZDUSSCGKSA-N 0.000 description 1
- 229960005079 pemetrexed Drugs 0.000 description 1
- -1 plurod 1 Proteins 0.000 description 1
- 238000002203 pretreatment Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000002685 pulmonary effect Effects 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 239000002096 quantum dot Substances 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000001959 radiotherapy Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 229950006765 rovalpituzumab tesirine Drugs 0.000 description 1
- 230000037432 silent mutation Effects 0.000 description 1
- 230000037436 splice-site mutation Effects 0.000 description 1
- 238000011255 standard chemotherapy Methods 0.000 description 1
- WINHZLLDWRZWRT-ATVHPVEESA-N sunitinib Chemical compound CCN(CC)CCNC(=O)C1=C(C)NC(\C=C/2C3=CC(F)=CC=C3NC\2=O)=C1C WINHZLLDWRZWRT-ATVHPVEESA-N 0.000 description 1
- 229960001796 sunitinib Drugs 0.000 description 1
- 238000002626 targeted therapy Methods 0.000 description 1
- 210000004881 tumor cell Anatomy 0.000 description 1
- 229940121358 tyrosine kinase inhibitor Drugs 0.000 description 1
- 239000005483 tyrosine kinase inhibitor Substances 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
- 230000002792 vascular Effects 0.000 description 1
- 229950011257 veliparib Drugs 0.000 description 1
- JNAHVYVRKWKWKQ-CYBMUJFWSA-N veliparib Chemical compound N=1C2=CC=CC(C(N)=O)=C2NC=1[C@@]1(C)CCCN1 JNAHVYVRKWKWKQ-CYBMUJFWSA-N 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING 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
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
- C12Q1/6886—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61K—PREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
- A61K45/00—Medicinal preparations containing active ingredients not provided for in groups A61K31/00 - A61K41/00
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
- A61P35/00—Antineoplastic agents
-
- 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
- G01N33/57423—Specifically defined cancers of lung
-
- 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
- G01N33/57484—Immunoassay; Biospecific binding assay; Materials therefor for cancer involving compounds serving as markers for tumor, cancer, neoplasia, e.g. cellular determinants, receptors, heat shock/stress proteins, A-protein, oligosaccharides, metabolites
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING 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
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/106—Pharmacogenomics, i.e. genetic variability in individual responses to drugs and drug metabolism
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING 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
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/118—Prognosis of disease development
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING 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
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/136—Screening for pharmacological compounds
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING 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
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/156—Polymorphic or mutational markers
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Immunology (AREA)
- Engineering & Computer Science (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Medicinal Chemistry (AREA)
- Hematology (AREA)
- Biomedical Technology (AREA)
- Analytical Chemistry (AREA)
- Urology & Nephrology (AREA)
- Pathology (AREA)
- Organic Chemistry (AREA)
- Microbiology (AREA)
- Oncology (AREA)
- Biotechnology (AREA)
- Physics & Mathematics (AREA)
- Hospice & Palliative Care (AREA)
- Biochemistry (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Cell Biology (AREA)
- Zoology (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Wood Science & Technology (AREA)
- Public Health (AREA)
- Food Science & Technology (AREA)
- Genetics & Genomics (AREA)
- General Physics & Mathematics (AREA)
- Pharmacology & Pharmacy (AREA)
- Epidemiology (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Chemical Kinetics & Catalysis (AREA)
- General Chemical & Material Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The application relates to a biomarker for immunotherapy with SCLC patients, which is a mutant ZFHX3 gene. According to the application, through sequencing of genome and transcriptome of SCLC patient samples (including tumor and paired normal samples), deep analysis finds that the SCLC patient with ZFHX3 gene mutation has higher immunity and better prognosis, and clinical test results further prove that the patient with ZFHX3 gene mutation has higher pathological remission rate (MPR), so that the SCLC patient with ZFHX3 mutation is likely to benefit from immunotherapy, the current situation that SCLC lacks an immune treatment biomarker is filled, and the method has important significance for immune treatment of the SCLC patient.
Description
Technical Field
The application relates to the field of molecular biology, in particular to a ZFHX3 gene mutation which can be used as an SCLC immunotherapeutic biomarker.
Background
Small cell lung cancer (small cell lung cancer, SCLC) is a heterogeneous neuroendocrine tumor of Kulchitsky cells originating from bronchial mucosal epithelium, and is the most invasive subtype of lung cancer, accounting for about 15% -20% of lung cancer. 98% of SCLC is attributed to smoking, and is characterized by high malignancy, high invasiveness, rapid disease progress, easy occurrence of distant metastasis in early stage, and the like, and although initial treatment is sensitive, the disease is easy to recur and transfer, drug resistance is formed, and the like, so that SCLC patients have extremely poor prognosis and survival rate of less than 7% in 5 years.
Since 1980, a plurality of clinical trial researches show that platinum-based combined etoposide can achieve higher complete remission rate and better prognosis when used for treating SCLC, and lays the foundation of the SCLC treatment scheme. However, in recent 20 years, other drugs have failed to achieve good therapeutic effects in the first-line treatment of SCLC, such as drugs for inhibiting vascular endothelial growth (bevacizumab, tharidomide, etc.), multi-target tyrosine kinase inhibitors (sunitinib), bcl-2 inhibitors (belimersen), PARP inhibitors (Veliparib, etc.), cyclin-dependent kinase 4/6 (cyclin-dependent kinase 4/6, CDK 4/6) inhibitors (trilacilib), DLL3 inhibitors (Rovalpituzumab tesirine), etc. have not achieved the expected effects in the clinical trials of SCLC.
In recent years, the advent of immunotherapy has brought new hopes for the treatment of tumor patients, and has been expected by tumor researchers. SCLC has the characteristics of strong heterogeneity, unstable genome, higher tumor mutation load and the like, so as to stimulate the organism to release more tumor-related antigens, and is possibly beneficial to promoting immune cells to kill tumor cells. It was found that the combination of an anti-apoptotic receptor-ligand 1 (PD-L1) immune drug such as Atezolizumab, durvalumab and Adebrelimab with standard chemotherapy regimens increased the overall median survival of SCLC over the extensive period, but it was noted that the median survival of SCLC only benefited by about 2 months compared to NSCLC immunotherapy. Subsequent scholars further analyzed the data in depth, finding that the survival time in a few SCLC patients can benefit by about 8 months. Therefore, deep research into the potential benefit of SCLC is of great clinical importance.
Chinese patent CN113943806a, publication date 2022.01.18, discloses a biomarker for predicting susceptibility of lung adenocarcinoma patients to immune checkpoint inhibitor therapy, comprising a mutant cell differentiation regulating gene selected from at least one of ZFHX3 and PTPRD genes, the mutant being missense mutation and/or nonsense mutation. The biomarker for predicting the sensitivity of the lung adenocarcinoma patients to the immune checkpoint inhibitor therapy has obvious correlation with TMB value, can be used as a new biomarker for predicting the sensitivity of the lung adenocarcinoma patients to the immune checkpoint inhibitor therapy, can accurately screen beneficiary populations of the immune checkpoint inhibitor therapy, and saves detection cost.
Lung cancer is largely divided into non-small cell lung cancer and small cell lung cancer, wherein non-small cell lung cancer accounts for about 85%, and mainly comprises lung squamous cell carcinoma and lung adenocarcinoma, whereas small cell lung cancer accounts for about 15%. SCLC is a heterologous neuroendocrine tumor derived from Kulchitsky cells of the bronchial mucosal epithelium, and is the most invasive subtype of lung cancer, accounting for about 15% -20% of lung cancer. 98% of SCLC is attributed to smoking, and is characterized by high malignancy, high invasiveness, rapid disease progress, easy occurrence of distant metastasis in early stage and the like, and although initial treatment is sensitive, the disease is easy to relapse and transfer, drug resistance and other characteristics are formed, so that SCLC patients have extremely poor prognosis, the survival rate of 5 years is less than 7%, and the essential difference exists between SCLC and non-small cell lung cancer.
In addition, the mode of drug treatment is also different for SCLC and non-small cell lung cancer. For treatment of non-squamous cell carcinoma driving gene negative or unknown non-small cell lung cancer patients, it is generally recommended that platinum-based combination pemetrexed, paclitaxel, gemcitabine or docetaxel be subjected to chemotherapy; for the treatment of patients with squamous cell carcinoma driving gene negative or unknown non-small cell lung cancer, platinum-based therapies in combination with paclitaxel, gemcitabine or docetaxel are generally recommended; for lung adenocarcinoma patients with genetic mutation, corresponding targeted therapies, such as drugs for targeting EGFR mutation, ALK mutation and the like, can be recommended; for SCLC, however, it is generally recommended that platinum is used in combination with etoposide or irinotecan for chemotherapy without the corresponding targeted drug for treatment.
Regarding immunotherapy, current domestic guidelines recommend only a few immune drugs for the treatment of extensive SCLC, including Atezolizumab, durvalumab, adebrelimab and Serpalimab, whereas immune drugs for non-small cell lung cancer are far more than SCLC, suggesting that there is a large difference between the two tumors. For the investigation of biomarkers for lung cancer immunotherapy, non-small cell lung cancer and SCLC are also different. For non-small cell lung cancer, no completely exact immunotherapeutic biomarker is currently available, and it is generally speculated that patients with high expression of PD-L1, TMB, tumor neoantigens may benefit from immunotherapy, and studies suggest that patients with SKT11, KEAP1, KRAS gene mutations may not benefit from immunotherapy. In addition, students use public databases to resolve potential biomarkers for non-small cell lung cancer immunotherapy, and they find that ZFHX3 mutated non-small cell lung cancer patients may benefit from immunotherapy.
While there are currently few studies on biomarkers for SCLC immunotherapy, foreign scholars divide SCLC into four subtypes ASCL1, plurod 1, POU2F3 and Inflamed according to transcriptome data, wherein Inflamed subtype can benefit from immunotherapy, but no clear biomarker is available, and no report has been made on ZFHX3 gene mutation invented herein as a biomarker for SCLC immunotherapy.
Disclosure of Invention
The object of the present application is to provide a biomarker for detecting sensitivity of SCLC patients to immunotherapy and its use, which address the deficiencies in the prior art.
In one aspect, a biomarker for detecting sensitivity of an SCLC patient to immunotherapy is provided, the biomarker being a mutant ZFHX3 gene.
In a second aspect, reagents for detecting the biomarkers described above are provided.
As a preferred example, the reagent is selected from one or more of a primer, a primer pair, a probe, an antibody and a nucleic acid chip.
In a third aspect, a diagnostic kit for SCLC immunotherapy is provided, said kit comprising the above-described reagents.
In a fourth aspect, there is provided the use of the above-described reagents in the preparation of a diagnostic reagent or kit for SCLC immunotherapy.
In a fifth aspect, there is provided the use of a biomarker as described above in the manufacture or screening of a SCLC immunotherapeutic agent.
In a sixth aspect, there is provided the use of the above-described reagents and kits for the preparation of a product for predicting or judging the effect of immunotherapy in a patient with SCLC.
In a seventh aspect, there is provided the use of a biomarker as described above as a target in the manufacture of a product for inhibiting the occurrence and/or development of SCLC.
In an eighth aspect, a method for predicting the efficacy of SCLC immunotherapy and for prognosis is provided, said method comprising detecting the biomarker as described above.
The application has the advantages that:
at present, for SCLC, platinum-based combined etoposide or irinotecan is generally recommended for chemotherapy, and no corresponding targeting drug is used for treatment. For immunotherapy of SCLC, the median survival of SCLC benefits only around 2 months, whereas the median survival of a few SCLC patients benefits up to around 8 months, but lacks the corresponding immunotherapeutic biomarkers. The application has the advantages that the deep analysis discovers that SCLC patients with ZFHX3 gene mutation have better immune infiltration and better prognosis, which indicates that SCLC patients with ZFHX3 gene mutation possibly benefit from immunotherapy, and fills the current situation that SCLC lacks an immunotherapy biomarker.
Drawings
FIG. 1 is a diagram of the results of immunophenotyping based on transcriptome sequencing. A: SCLC immunophenotyping can be classified as hot tumor, cold tumor and beside cancer; b: SCLC patient prognosis effect of immunocold tumor; c: the mutation situation of ZFHX3 gene in immunothermic tumor; immunization and TMB scoring in ZFHX3 gene mutated tissues.
FIG. 2 shows the results of genomic sequencing-based gene mutation. A: the first 6 with higher mutation frequencies are in turn: TP53 (72%), RB1 (56%), KMT2C (21%), ZFHX3 (19%), KMT2D (16%), FAT1 (12%).
FIG. 3 shows prognosis and pathway enrichment analysis of ZFHX3 gene mutant patients. A: prognosis of ZFHX3 gene mutated patients compared to unmutated patients; b: pathway enrichment analysis of ZFHX3 gene mutation samples.
FIG. 4 shows the rate of pathological remission of SCLC patients with ZFHX3 mutations versus non-mutated patients by exon sequencing analysis.
Detailed Description
The application is further described below in conjunction with the detailed description. It is to be understood that these examples are illustrative of the present application and are not intended to limit the scope of the present application. Further, it is understood that various changes and modifications of the present application may be made by those skilled in the art after reading the description of the present application, and such equivalents are intended to fall within the scope of the application as defined in the appended claims. Unless otherwise indicated, the technical means used in the examples are conventional means well known to those skilled in the art and commercially available usual instruments and reagents, and can be referred to in the molecular cloning test guidelines (3 rd edition) (scientific press), microbiological tests (4 th edition) (higher education press) and manufacturer specifications of the corresponding instruments and reagents.
EXAMPLE 1 application of ZFHX3 Gene mutation as SCLC immunotherapeutic biomarker
1 test sample
All SCLC tumors and Normal Adjacent Tissues (NATs) were collected in Shanghai city pulmonary department hospital (university of Shangji, china Shanghai) from 4 months 2012 to 6 months 2019 in this study. The study was approved by the Shanghai department of Lung hospital institutional review board and informed consent was obtained for all participating patients. All patients underwent surgical excision and had not previously received chemotherapy, radiation or immunotherapy.
2 experimental procedure
2.1DNA sequencing
Genomic DNA was extracted from tumors and NATs using QIAamp Fast DNA tissue kit (QIAGEN, hilden, germany) according to the protocol of the kit. Total DNA was quantified using a Qubit 2.0Flurometer (Life Technologies, CA, USA) and NanoDrop 2000 (Thermo Fisher Scientific), and integrity was assessed using a TapeStation (Agilent Technologies, CA, USA). Genomic DNA was fragmented to an average of 180-280bp using a Covaris focused ultrasound apparatus. A WES library was then prepared and captured using a Agilent SureSelect HumanAll ExonV kit (Agilent Technologies, CA, USA) according to the kit instructions, and a DNA library with 150bp paired-end reads was sequenced on an IlluminaNovaseq 6000 platform (Illumina, CA, USA). All genomic sequencing was done by the Tianjin Norhe origin company.
2.2RNA sequencing
Total RNA was extracted and purified from fresh frozen tissues using TRIzol reagent (Invitrogen, CA, USA). UsingRNAassaykit, in->2.0Flurometer (Life Technologies, CA, USA) andthe RNA concentration and purity of all RNA analytes were detected in a spectrophotometer (IMPLEN, CA, USA). RNA integrity was assessed using the RNANano 6000Assay Kit of the Bioanalyzer 2100 System (Agilent Technologies, CA, USA). RNA integrity value (RIN)>The sample of 6.0 was a high quality sample used to construct a transcriptome library. Use->UltraTM RNA library Prep Kit for/>The (NEB, MA, USA) kit performs total RNA-seq library construction on RNA samples and adds an index code to the property sequence of each sample. Each step was quality controlled and using the Agilent Bioanalyzer 2100 system (Agilent technologygies, CA, USA) quantitates the library. The paired-end library was then sequenced on an Illumina Novaseq6000 platform (Illumina, CA, USA) to generate 150bp paired-end reads. A total of 107 paired tumor and NAT samples were used for RNA sequencing by RNA quality control. All transcriptome sequencing was done by the Tianjin Norhe source company.
2.3 analysis of Gene mutations
To detect Single Nucleotide Variations (SNV) and small insertions/deletions (INDEL), analysis was performed using Genome Analysis Toolkit (GATK, version 4.0.6.0). After excluding low quality reads, matched paired-end WES sequencing reads were aligned with human reference genome (hg 38) using BWA MEM (version 0.7.15, http:// bio-BWA. Sourceforge. Net /). The resulting BAM file was further processed with a Picard tool (version 2.9.0, http:// broadensite. Gitgub. Io/Picard /) to remove PCR duplicates. Subsequently, recalibration and INDEL recalibration were achieved using the GATK modules INDEL realignor and baserecalcifier. Cross sample contamination was assessed using the GATK module calculecotaining tool with a threshold of 5%. Snv and INDELs were detected using mutact 2 tool (cibulsky et al 2013) embedded in SCLC tumor and paired non-tumor samples GATK, followed by filtering of the short tandem repeat regions downloaded from UCSC table browser, and finally annotated with funcators in GATK.
2.4TMB analysis
For each patient we calculated the TMB score, i.e. total number of truncated mutations x 1.5+ total number of non-truncated mutations x 1.0. Truncation mutations include nonsense mutations, frameshift deletion mutations, frameshift insertion mutations, and splice site mutations, while non-truncation mutations include missense mutations, intraframe deletion mutations, intraframe insertion mutations, and uninterrupted mutations. Silent mutations are excluded from these analyses because they do not lead to amino acid changes. Considering that truncation mutations have a greater detrimental effect on gene function than non-truncation mutations, higher weights are given.
2.5 pathological remission rate analysis
The applicant subject group of the present application has registered and performed 2 clinical trials (NCT 04539977, NCT 04542369) to evaluate the efficacy of immune drugs in small cell lung cancer. Currently 12 pre-treatment small cell lung cancer samples (9 from the NCT04539977 clinical trial and 3 from the NCT04542369 clinical trial) have been collected and analyzed for the rate of pathological remission of ZFHX3 gene mutated and unmutated patients by exon sequencing.
3 statistics and analysis
3.1 immunoassay
Using RNA-seq data, the abundance of 64 different cell types in 107 SCLC tumors and paired NAT samples was calculated by xCell (https:// xCell. Ucsf. Edu /). Unsupervised clustering is then achieved using NMF R packages (version 0.23.0) to sign these units. We select k=3 from the largest coherence coefficient using 50 iterations, followed by 200 iterations of the NMF analysis.
3.2 survival analysis
The Kaplan-Meier analysis was used to explore the survival differences from ZFHX3 mutant status and immune subtypes.
4 experimental results
Based on transcriptomic data, using xCell algorithm, unsupervised cluster analysis, tumor and paracancestral tissues were divided into 3 subtypes, i.e., hot tumor, cold tumor and paracancestral tumor (fig. 1A), wherein most of the tumors were immunocold tumor, with worse prognosis (fig. 1B), whereas hot tumor was enriched for more killer immune cells, such as cd8+ T, NK, activated dendritic cells, M1 macrophages (fig. 1A). Based on genome data, we analyzed the mutation situation in SCLC tumor tissue, and we found that there were many gene mutations in SCLC, with higher mutation frequencies of TP53 (72%), RB1 (56%), KMT2C (21%), ZFHX3 (19%), KMT2D (16%), FAT1 (12%), etc. in order (fig. 2A).
Further analysis of the correlation of the gene mutation with cold and hot tumors, we found that there was a higher ZFHX3 gene mutation (p=0.0378) in hot tumors (fig. 1C). Further analysis found that tumors with ZFHX3 gene mutations possess higher immune scores and tumor mutation loads (Tumor Mutational Burden, TMB) than tumors without ZFHX3 gene mutations (fig. 1D), these data suggest that ZFHX3 gene mutations may be closely related to higher tumor immunity and may serve as molecular markers for tumor immunity. Survival analysis further suggested that patients with ZFHX3 gene mutation had a better prognosis than patients without ZFHX3 mutation (fig. 3A). Pathway enrichment analysis further demonstrates that tumors with ZFHX3 gene mutations enrich for several immune pathways, including response to interferon-gamma, antigen processing, and presentation pathways (fig. 3B), which further suggest that ZFHX3 gene mutations can be used as molecular markers for immunization of small cell cancerous tumors.
Exon sequencing analysis found that patients with ZFHX3 gene mutation had higher pathology remission rate (MPR) (fig. 4), suggesting that small cell lung cancer patients with ZFHX3 mutation might benefit from immunotherapy.
The foregoing is merely a preferred embodiment of the present application, and it should be noted that modifications and additions may be made to those skilled in the art without departing from the method of the present application, which modifications and additions are also to be considered as within the scope of the present application.
Claims (9)
1. A biomarker for detecting sensitivity of an SCLC patient to immunotherapy, characterized in that the biomarker is a mutant ZFHX3 gene.
2. A reagent for detecting the biomarker of claim 1.
3. The reagent according to claim 2, wherein the reagent is one or more selected from the group consisting of a primer, a primer pair, a probe, an antibody and a nucleic acid chip.
4. A diagnostic kit for SCLC immunotherapy, characterized in that said kit comprises the reagent of claim 2.
5. Use of the agent of any one of claims 2-3 for the preparation of a diagnostic reagent or kit for SCLC immunotherapy.
6. Use of the biomarker of claim 1 in the manufacture or screening of a SCLC immunotherapeutic agent.
7. Use of the biomarker of claim 1 in the manufacture of a product for assessing or aiding in assessing the efficacy of an immune single drug therapy of SCLC.
8. Use of the biomarker of claim 1 as a target in the preparation of a product that inhibits the occurrence and/or development of SCLC.
9. A method for predicting the efficacy of an SCLC immunotherapy and for prognosis, said method comprising detecting the biomarker of claim 1.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310988909.1A CN116837103A (en) | 2023-08-08 | 2023-08-08 | ZFHX3 gene mutation can be used as SCLC immune therapeutic biomarker |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310988909.1A CN116837103A (en) | 2023-08-08 | 2023-08-08 | ZFHX3 gene mutation can be used as SCLC immune therapeutic biomarker |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116837103A true CN116837103A (en) | 2023-10-03 |
Family
ID=88170947
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310988909.1A Pending CN116837103A (en) | 2023-08-08 | 2023-08-08 | ZFHX3 gene mutation can be used as SCLC immune therapeutic biomarker |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116837103A (en) |
-
2023
- 2023-08-08 CN CN202310988909.1A patent/CN116837103A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20210381062A1 (en) | Nasal epithelium gene expression signature and classifier for the prediction of lung cancer | |
Chen et al. | Next-generation sequencing in liquid biopsy: cancer screening and early detection | |
JP6700333B2 (en) | Methods and materials for assessing loss of heterozygosity | |
Kadara et al. | Whole-exome sequencing and immune profiling of early-stage lung adenocarcinoma with fully annotated clinical follow-up | |
Kim et al. | A nineteen gene-based risk score classifier predicts prognosis of colorectal cancer patients | |
Shukla et al. | Plasma DNA-based molecular diagnosis, prognostication, and monitoring of patients with EWSR1 fusion-positive sarcomas | |
CN107475375A (en) | A kind of DNA probe storehouse, detection method and kit hybridized for microsatellite locus related to microsatellite instability | |
US20150301058A1 (en) | Biomarker compositions and methods | |
Barris et al. | Detection of circulating tumor DNA in patients with osteosarcoma | |
BRPI0709397A2 (en) | primary cell propagation | |
Jovčevska | Next generation sequencing and machine learning technologies are painting the epigenetic portrait of glioblastoma | |
Pass et al. | Biomarkers and molecular testing for early detection, diagnosis, and therapeutic prediction of lung cancer | |
US20210238668A1 (en) | Biterminal dna fragment types in cell-free samples and uses thereof | |
Shen et al. | A three-gene signature as potential predictive biomarker for irinotecan sensitivity in gastric cancer | |
Ocak et al. | High-throughput molecular analysis in lung cancer: insights into biology and potential clinical applications | |
JP2023109998A (en) | Detection of microsatellite instability | |
Sun et al. | Genomic instability-associated lncRNA signature predicts prognosis and distinct immune landscape in gastric cancer | |
Lau et al. | Single-molecule methylation profiles of cell-free DNA in cancer with nanopore sequencing | |
JP2023505031A (en) | Methods and compositions for cancer analysis | |
WO2021048445A1 (en) | Novel biomarkers and diagnostic profiles for prostate cancer integrating clinical variables and gene expression data | |
WO2023284736A1 (en) | Biomarkers for colorectal cancer treatment | |
WO2020092101A1 (en) | Consensus molecular subtypes sidedness classification | |
CN116837103A (en) | ZFHX3 gene mutation can be used as SCLC immune therapeutic biomarker | |
KR20230025895A (en) | Multimodal analysis of circulating tumor nucleic acid molecules | |
CN110607371A (en) | Stomach cancer marker and application thereof |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |