4.7 Article

Mutational signatures of DNA mismatch repair deficiency in C. elegans and human cancers

期刊

GENOME RESEARCH
卷 28, 期 5, 页码 666-675

出版社

COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1101/gr.226845.117

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资金

  1. Wellcome Trust Senior Research award [090944/Z/09/Z]
  2. Wellcome Trust Strategic Award [101126/B/13/Z]
  3. Wellcome Trust
  4. Wellcome Trust Technology Platform Strategic Award [097945/Z/11/Z]
  5. National Bio-Resource Project, Japan
  6. Caenorhabditis Genetics Center
  7. NIH Office of Research Infrastructure Programs [P40 OD010440]
  8. BBSRC [BB/S002782/1] Funding Source: UKRI
  9. Wellcome Trust [101126/B/13/Z, 097945/Z/11/Z] Funding Source: Wellcome Trust

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Throughout their lifetime, cells are subject to extrinsic and intrinsic mutational processes leaving behind characteristic signatures in the genome. DNA mismatch repair (MMR) deficiency leads to hypermutation and is found in different cancer types. Although it is possible to associate mutational signatures extracted from human cancers with possible mutational processes, the exact causation is often unknown. Here, we use C. elegans genome sequencing of pms-2 and mlh-1 knockouts to reveal the mutational patterns linked to C. elegans MMR deficiency and their dependency on endogenous replication errors and errors caused by deletion of the polymerase epsilon subunit pole-4. Signature extraction from 215 human colorectal and 289 gastric adenocarcinomas revealed three MMR-associated signatures, one of which closely resembles the C. elegans MMR spectrum and strongly discriminates microsatellite stable and unstable tumors (AUC = 98%). A characteristic difference between human and C. elegans MMR deficiency is the lack of elevated levels of N (C) under barG > NTG mutations in C. elegans, likely caused by the absence of cytosine (CpG) methylation in worms. The other two human MMR signatures may reflect the interaction between MMR deficiency and other mutagenic processes, but their exact cause remains unknown. In summary, combining information from genetically defined models and cancer samples allows for better aligning mutational signatures to causal mutagenic processes.

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