Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA; Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara 06800, Turkey.
Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA.
Cell Rep. 2023 Aug 29;42(8):112930. doi: 10.1016/j.celrep.2023.112930. Epub 2023 Aug 4.
The somatic mutations found in a cancer genome are imprinted by different mutational processes. Each process exhibits a characteristic mutational signature, which can be affected by the genome architecture. However, the interplay between mutational signatures and topographical genomic features has not been extensively explored. Here, we integrate mutations from 5,120 whole-genome-sequenced tumors from 40 cancer types with 516 topographical features from ENCODE to evaluate the effect of nucleosome occupancy, histone modifications, CTCF binding, replication timing, and transcription/replication strand asymmetries on the cancer-specific accumulation of mutations from distinct mutagenic processes. Most mutational signatures are affected by topographical features, with signatures of related etiologies being similarly affected. Certain signatures exhibit periodic behaviors or cancer-type-specific enrichments/depletions near topographical features, revealing further information about the processes that imprinted them. Our findings, disseminated via the COSMIC (Catalog of Somatic Mutations in Cancer) signatures database, provide a comprehensive online resource for exploring the interactions between mutational signatures and topographical features across human cancer.
在癌症基因组中发现的体细胞突变是由不同的突变过程所留下的印记。每个过程都表现出独特的突变特征,这些特征可能受到基因组结构的影响。然而,突变特征与拓扑基因组特征之间的相互作用尚未得到广泛探索。在这里,我们整合了来自 40 种癌症类型的 5120 个全基因组测序肿瘤和 ENCODE 的 516 个拓扑特征中的突变,以评估核小体占有率、组蛋白修饰、CTCF 结合、复制时间和转录/复制链不对称性对不同致突变过程中癌症特异性突变积累的影响。大多数突变特征受到拓扑特征的影响,具有相关病因的特征受到类似的影响。某些特征在拓扑特征附近表现出周期性行为或癌症类型特异性的富集/缺失,揭示了更多关于印记它们的过程的信息。我们的发现通过 COSMIC(癌症体细胞突变目录)特征数据库进行了传播,为探索人类癌症中突变特征与拓扑特征之间的相互作用提供了一个全面的在线资源。