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Published on: December 9, 2015
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.
Abstract:
Some cancer therapies damage DNA and cause mutations in both cancerous and healthy cells. Therapy-induced mutations may underlie some of the long-term and late side effects of treatments, such as mental disabilities, organ toxicity and secondary neoplasms. Nevertheless, the burden of mutation contributed by different chemotherapies has not been explored. Here we identify the mutational signatures or footprints of six widely used anticancer therapies across more than 3,500 metastatic tumors originating from different organs. These include previously known and new mutational signatures generated by platinum-based drugs as well as a previously unknown signature of nucleoside metabolic inhibitors. Exploiting these mutational footprints, we estimate the contribution of different treatments to the mutation burden of tumors and their risk of contributing coding and potential driver mutations in the genome. The mutational footprints identified here allow for precise assessment of the mutational risk of different cancer therapies to understand their long-term side effects.
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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