| Literature DB >> 33020667 |
Kadir C Akdemir1, Victoria T Le2, Justin M Kim3,4, Sarah Killcoyne5,6, Devin A King7, Ya-Ping Lin8, Yanyan Tian9,10, Akira Inoue3, Samirkumar B Amin11, Frederick S Robinson12, Manjunath Nimmakayalu13, Rafael E Herrera7, Erica J Lynn9, Kin Chan14,15, Sahil Seth12,16, Leszek J Klimczak17, Moritz Gerstung6, Dmitry A Gordenin14, John O'Brien8, Lei Li9,18, Yonathan Lissanu Deribe3,19, Roel G Verhaak11, Peter J Campbell20, Rebecca Fitzgerald5, Ashby J Morrison7, Jesse R Dixon21, P Andrew Futreal22.
Abstract
Somatic mutations in driver genes may ultimately lead to the development of cancer. Understanding how somatic mutations accumulate in cancer genomes and the underlying factors that generate somatic mutations is therefore crucial for developing novel therapeutic strategies. To understand the interplay between spatial genome organization and specific mutational processes, we studied 3,000 tumor-normal-pair whole-genome datasets from 42 different human cancer types. Our analyses reveal that the change in somatic mutational load in cancer genomes is co-localized with topologically-associating-domain boundaries. Domain boundaries constitute a better proxy to track mutational load change than replication timing measurements. We show that different mutational processes lead to distinct somatic mutation distributions where certain processes generate mutations in active domains, and others generate mutations in inactive domains. Overall, the interplay between three-dimensional genome organization and active mutational processes has a substantial influence on the large-scale mutation-rate variations observed in human cancers.Entities:
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Year: 2020 PMID： 33020667 PMCID： PMC8350746 DOI： 10.1038/s41588-020-0708-0
Source DB: PubMed Journal: Nat Genet ISSN： 1061-4036 Impact factor: 41.307