Sex differences in oncogenic mutational processes

Li, Constance H., Prokopec, Stephenie D., Sun, Ren X., Yousif, Fouad, Schmitz, Nathaniel, PCAWG Tumour Subtypes and Clinical Translation, , Boutros, Paul C., and PCAWG Consortium, (2020) Sex differences in oncogenic mutational processes. Nature Communications, 11. 4330.

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Abstract

Sex differences have been observed in multiple facets of cancer epidemiology, treatment and biology, and in most cancers outside the sex organs. Efforts to link these clinical differences to specific molecular features have focused on somatic mutations within the coding regions of the genome. Here we report a pan-cancer analysis of sex differences in whole genomes of 1983 tumours of 28 subtypes as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. We both confirm the results of exome studies, and also uncover previously undescribed sex differences. These include sex-biases in coding and non-coding cancer drivers, mutation prevalence and strikingly, in mutational signatures related to underlying mutational processes. These results underline the pervasiveness of molecular sex differences and strengthen the call for increased consideration of sex in molecular cancer research.

Item ID: 68157
Item Type: Article (Research - C1)
ISSN: 2041-1723
Keywords: Cancer genetics, Cancer genomics, Genome informatics, Oncogenes
Copyright Information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Additional Information:

Matthew A. Field is a member of the PCAWG Consortium.

Funders: Government of Ontario (GO), Natural Sciences and Engineering Research Council (NSERC) of Canada, Canadian Institutes of Health Research (CIHR), Genome Canada (GC), Canada Foundation for Innovation (CFI), Terry Fox Research Institute New Investigator Award, Canadian Institutes of Health Research (CIHR), Natural Sciences and Engineering Research Council of Canada (NSERC), National Institutes of Health (NIH), National Cancer Institute (NCI)
Projects and Grants: (GO) Ontario Institute for Cancer Research, NSERC, CIHR, GC and CFI Discovery Frontiers: Advancing Big Data Science in Genomics Research program, CIHR New Investigator Award, NSERC Discovery Grant, CIHR grant #SVB-145586, NIH/NCI Grant number P30CA016042, NCI Early Detection Research Network (1U01CA214194-01)
Date Deposited: 27 May 2021 04:11
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3211 Oncology and carcinogenesis > 321103 Cancer genetics @ 100%
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