National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Department of hematology, School of Medicine, Xiamen University, Xiamen, China.
Cancer Res. 2021 Aug 15;81(16):4205-4217. doi: 10.1158/0008-5472.CAN-21-0086. Epub 2021 Jul 2.
The somatic landscape of the cancer genome results from different mutational processes represented by distinct "mutational signatures." Although several mutagenic mechanisms are known to cause specific mutational signatures in cell lines, the variation of somatic mutational activities in patients, which is mostly attributed to somatic selection, is still poorly explained. Here, we introduce a quantitative trait, mutational propensity (MP), and describe an integrated method to infer genetic determinants of variations in the mutational processes in 3,566 cancers with specific underlying mechanisms. As a result, we report 2,314 candidate determinants with both significant germline and somatic effects on somatic selection of mutational processes, of which, 485 act via cancer gene expression and 1,427 act through the tumor-immune microenvironment. These data demonstrate that the genetic determinants of MPs provide complementary information to known cancer driver genes, clonal evolution, and clinical biomarkers. SIGNIFICANCE: The genetic determinants of the somatic mutational processes in cancer elucidate the biology underlying somatic selection and evolution of cancers and demonstrate complementary predictive power across cancer types.
癌症基因组的体细胞景观源自不同的突变过程,这些过程由不同的“突变特征”表示。尽管已知有几种诱变机制会导致细胞系中出现特定的突变特征,但大多数归因于体细胞选择的患者体细胞突变活性的变化仍未得到很好的解释。在这里,我们引入了一个定量特征,即突变倾向(MP),并描述了一种综合方法来推断 3566 种具有特定潜在机制的癌症中突变过程变化的遗传决定因素。结果,我们报告了 2314 个候选决定因素,这些因素对体细胞选择突变过程既有显著的种系效应,也有显著的体细胞效应,其中 485 个通过癌症基因表达起作用,1427 个通过肿瘤免疫微环境起作用。这些数据表明,MP 的遗传决定因素为已知的癌症驱动基因、克隆进化和临床生物标志物提供了补充信息。意义:癌症体细胞突变过程的遗传决定因素阐明了体细胞选择和癌症进化的生物学基础,并在多种癌症类型中表现出互补的预测能力。