4.8 Article

Mutational signatures are markers of drug sensitivity of cancer cells

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NATURE COMMUNICATIONS
卷 13, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41467-022-30582-3

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资金

  1. ERC Starting Grant HYPER-INSIGHT [757700]
  2. Horizon2020 RIA project DECIDER [965193]
  3. Spanish Ministry of Science, Education and Universities project REPAIRSCAPE [PID2020-118795GB-I00]
  4. State Agency for Research of the Ministry of Science and Innovation - Severo Ochoa Centre of Excellence Award [CEX2019-000913-S]
  5. CERCA Generalitat de Catalunya funds
  6. European Union's Framework Programme for Research and Innovation Horizon 2020, under the Marie Skodowska-Curie PROBIST grant [754510]
  7. FPU fellowship of the Spanish government (FPU2017)

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By analyzing mutational signatures in cancer cell lines, this study identifies robust associations between these signatures and drug activity, providing a valuable resource for drug repurposing guided by mutational signature markers.
Genomic analyses have revealed mutational footprints associated with DNA maintenance gone awry, or with mutagen exposures. Because cancer therapeutics often target DNA synthesis or repair, we asked if mutational signatures make useful markers of drug sensitivity. We detect mutational signatures in cancer cell line exomes (where matched healthy tissues are not available) by adjusting for the confounding germline mutation spectra across ancestries. We identify robust associations between various mutational signatures and drug activity across cancer cell lines; these are as numerous as associations with established genetic markers such as driver gene alterations. Signatures of prior exposures to DNA damaging agents - including chemotherapy - tend to associate with drug resistance, while signatures of deficiencies in DNA repair tend to predict sensitivity towards particular therapeutics. Replication analyses across independent drug and CRISPR genetic screening data sets reveal hundreds of robust associations, which are provided as a resource for drug repurposing guided by mutational signature markers. Mutational signatures can reveal the impact of mutagenic processes in cancer, including exposure to therapy. Here, the authors develop an approach that can accurately predict drug responses in cancer using mutational signatures while simultaneously correcting for germline variants with an ancestry matching procedure.

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