4.8 Article

A pan-cancer compendium of chromosomal instability

Journal

NATURE
Volume 606, Issue 7916, Pages 976-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41586-022-04789-9

Keywords

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Funding

  1. Cancer Research UK [C14303/A17197, A22905, A19274]
  2. Cambridge Cancer Centre [C9685/A25117]
  3. Instituto de Salud Carlos III
  4. Spanish Ministry of Science and Innovation (MCIN/AEI) [CEX2019-000891-S, PID2019-111356RA-I00]
  5. F.R.S.-FNRS
  6. Wellcome Trust PhD programme in Mathematical Genomics and Medicine [RG92770]
  7. Horizon 2020 (H2020) Integrated Training Network CONTRA [766030-CONTRA-H2020-MSCA-ITN-2017]
  8. Francis Crick Institute from Cancer Research UK [FC001202]
  9. Francis Crick Institute from UK Medical Research Council [FC001202]
  10. Francis Crick Institute from Wellcome Trust [FC001202]
  11. Winton Charitable Foundation

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This study evaluates the extent, diversity, and origin of chromosomal instability (CIN) in tumors of different cancer types and provides a compendium of copy number signatures that characterize specific types of CIN. These signatures predict drug response and identify new drug targets, offering guidance for future CIN research.
Chromosomal instability (CIN) results in the accumulation of large-scale losses, gains and rearrangements of DNA(1). The broad genomic complexity caused by CIN is a hallmark of cancer(2); however, there is no systematic framework to measure different types of CIN and their effect on clinical phenotypes pan-cancer. Here we evaluate the extent, diversity and origin of CIN across 7,880 tumours representing 33 cancer types. We present a compendium of 17 copy number signatures that characterize specific types of CIN, with putative aetiologies supported by multiple independent data sources. The signatures predict drug response and identify new drug targets. Our framework refines the understanding of impaired homologous recombination, which is one of the most therapeutically targetable types of CIN. Our results illuminate a fundamental structure underlying genomic complexity in human cancers and provide a resource to guide future CIN research.

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