01-09-2022 дата публикации
Номер: US20220275460A1
Принадлежит:
Disclosed are methods of predicting a radiotherapy success in a method of treating a lung cancer of a patient, the use of specific markers for predicting a radiotherapy success in a method of treating a lung cancer of a patient, a database comprising the markers, and a computer program product for use in such a method. 1. A method of predicting a radiotherapy success in a method of treating a lung cancer of a patient , the method comprising:obtaining or providing a sample of the patient, anddetermining a change in at least one of a nucleotide sequence, epigenomics profile, expression profile or copy number compared to at least one of a reference sequence, epigenomics profile, expression profile or copy number of at least one of (i) at least one gene selected from MLH1, EP300, BRCA2, FLT1, GRINA, HEATR1, MUTYH, NUDT1, PARP10, PRPF19, KCNJ12, MGMT, PMS2P9, DDX11, EPHA2, GEN1, SETD2, and ZNF208, (ii) a gene mutational burden in at least one gene selected from the group consisting of MLH1, DDX11, APOLD1, GEN1, GPER1, POLB, PRPF19, ANKRD30A, AR, BTK, GTF2H4, HEATR1, IKBKE, KAT6A, NUDT19, PARP1, PTPRT, TAF3, TDG, MAP3K1, and SLC9A4, or (iii) a tumor mutational burden (TMB).2. The method of claim 1 , wherein the lung cancer is non-small cell lung cancer claim 1 , and wherein at least one ofthe change in the at least one of the nucleotide sequence, epigenomics profile, expression profile or copy number compared to the at least one of the reference sequence, epigenomics profile, expression profile or copy number, is determined in at least one gene selected from the group consisting of BRCA2, DDX11, EPHA2, FLT1, GEN1, GRINA, HEATR1, MLH1, MUTYH, NUDT1, PARP10, PRPF19, SETD2, ZNF208, EP300, KCNJ12, MGMT, and PMS2P9,the gene mutational burden is determined in at least one gene selected from the group consisting of APOLD1, DDX11, GEN1, GPER1, MLH1, POLB, PRPF19, ANKRD30A, AR, BTK, GTF2H4, HEATR1, IKBKE, KAT6A, MAP3K1, NUDT19, PARP1, PTPRT, SLC9A4, TAF3, and TDG,the tumor ...
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