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      The mutational footprints of cancer therapies

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          Abstract

          Some cancer therapies damage DNA and cause mutations both in cancer and healthy cells of the patient. Therapy-induced mutations may underlie some of the long-term and late side effects of treatments, such as mental disabilities, organ toxicities and secondary neoplasms. Currently we ignore the mutation burden caused by different cancer treatments. Here we identify mutational signatures, or footprints of six widely-used anti-cancer 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, and a novel 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 precisely assessing the mutational risk of different cancer therapies to understand their long-term side effects.

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          Most cited references26

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          Transcription-coupled DNA repair: two decades of progress and surprises.

          Expressed genes are scanned by translocating RNA polymerases, which sensitively detect DNA damage and initiate transcription-coupled repair (TCR), a subpathway of nucleotide excision repair that removes lesions from the template DNA strands of actively transcribed genes. Human hereditary diseases that present a deficiency only in TCR are characterized by sunlight sensitivity without enhanced skin cancer. Although multiple gene products are implicated in TCR, we still lack an understanding of the precise signals that can trigger this pathway. Futile cycles of TCR at naturally occurring non-canonical DNA structures might contribute to genomic instability and genetic disease.
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            Candidate mechanisms for chemotherapy-induced cognitive changes.

            The mechanism(s) for chemotherapy-induced cognitive changes are largely unknown; however, several candidate mechanisms have been identified. We suggest that shared genetic risk factors for the development of cancer and cognitive problems, including low-efficiency efflux pumps, deficits in DNA-repair mechanisms and/or a deregulated immune response, coupled with the effect of chemotherapy on these systems, might contribute to cognitive decline in patients after chemotherapy. Furthermore, the genetically modulated reduction of capacity for neural repair and neurotransmitter activity, as well as reduced antioxidant capacity associated with treatment-induced reduction in oestrogen and testosterone levels, might interact with these mechanisms and/or have independent effects on cognitive function.
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              DNA polymerases and cancer.

              There are 15 different DNA polymerases encoded in mammalian genomes, which are specialized for replication, repair or the tolerance of DNA damage. New evidence is emerging for lesion-specific and tissue-specific functions of DNA polymerases. Many point mutations that occur in cancer cells arise from the error-generating activities of DNA polymerases. However, the ability of some of these enzymes to bypass DNA damage may actually defend against chromosome instability in cells, and at least one DNA polymerase, Pol ζ, is a suppressor of spontaneous tumorigenesis. Because DNA polymerases can help cancer cells tolerate DNA damage, some of these enzymes might be viable targets for therapeutic strategies.
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                Author and article information

                Journal
                9216904
                Nat Genet
                Nat. Genet.
                Nature genetics
                1061-4036
                1546-1718
                01 October 2019
                18 November 2019
                December 2019
                18 May 2020
                : 51
                : 12
                : 1732-1740
                Affiliations
                [1 ]Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
                [2 ]Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
                [3 ]The Netherlands Cancer Institute. Plesmanlaan 121 1066 CX Amsterdam, The Netherlands
                [4 ]Research Program on Biomedical Informatics, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
                [5 ]Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
                Author notes
                []Corresponding author. nuria.lopez@ 123456irbbarcelona.org
                [*]

                NL-B and AG-P jointly supervised this work.

                Article
                EMS84512
                10.1038/s41588-019-0525-5
                6887544
                31740835
                6d1f5f40-69bf-468b-93a5-5bdb6af08a63

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                Genetics
                Genetics

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