TY - JOUR
T1 - The mutational footprints of cancer therapies
AU - Pich, Oriol
AU - Muiños, Ferran
AU - Lolkema, Martijn Paul
AU - Steeghs, Neeltje
AU - Gonzalez-Perez, Abel
AU - Lopez-Bigas, Nuria
N1 - Publisher Copyright:
© 2019, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85075396470&partnerID=8YFLogxK
U2 - 10.1038/s41588-019-0525-5
DO - 10.1038/s41588-019-0525-5
M3 - Article
C2 - 31740835
AN - SCOPUS:85075396470
SN - 1061-4036
VL - 51
SP - 1732
EP - 1740
JO - Nature Genetics
JF - Nature Genetics
IS - 12
ER -