The mutational footprints of cancer therapies

Oriol Pich1, Ferran Muiños1, Martijn Paul Lolkema2

  • 1Institute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain.

Nature Genetics
|November 20, 2019
PubMed

Insights

Cancer treatments can cause DNA damage and mutations, leading to side effects. This study identifies the unique mutational signatures of common cancer therapies to assess their risks.

Area of Science:

  • Genomics
  • Cancer Biology
  • Pharmacology

Background:

  • Cancer therapies, including chemotherapy, can induce DNA damage and mutations in both tumor and healthy cells.
  • These therapy-induced mutations are implicated in long-term and late adverse effects, such as organ toxicity and secondary cancers.
  • The specific contribution of different chemotherapies to the overall mutation burden remains largely unexplored.

Purpose of the Study:

  • To identify and characterize the mutational signatures of six widely used anticancer therapies.
  • To quantify the contribution of these therapies to the mutation burden in metastatic tumors.
  • To assess the risk of therapy-induced mutations in driving coding and potential driver mutations.

Main Methods:

  • Analysis of mutational signatures across over 3,500 metastatic tumors from diverse organs.
  • Identification of known and novel mutational footprints associated with specific anticancer drugs.
  • Utilizing identified signatures to estimate treatment-specific mutation burden and associated genomic risks.

Main Results:

  • Discovery of distinct mutational signatures for six common anticancer therapies.
  • Identification of new signatures linked to platinum-based drugs and nucleoside metabolic inhibitors.
  • Quantification of the mutational contribution of different therapies to tumor genomes.

Conclusions:

  • Mutational footprints provide a means to assess the genomic impact of cancer treatments.
  • Understanding these signatures aids in evaluating the long-term side effect risks associated with various chemotherapies.
  • This research enables a precise assessment of mutational risk for different cancer therapies.

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