Sex differences in oncogenic mutational processes
Li, Constance H. (University of California. Department of Human Genetics)
Prokopec, Stephenie D. (Ontario Institute for Cancer Research)
Sun, Ren X. (University of Toronto)
Yousif, Fouad (Ontario Institute for Cancer Research)
Schmitz, Nathaniel (Ontario Institute for Cancer Research)
Boutros, Paul C. (University of California)

Data:	2020
Resum:	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. There's an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.
Nota:	Tomas Marquès-Bonet i Jose I. Martin-Subero, de l'Institut Català de Paleontologia Miquel Crusafont (ICP), formen part del PCAWG Consortium
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Cancer genetics ; Genome informatics ; Cancer genomics ; Oncogenes
Publicat a:	Nature communications, Vol. 11 (August 2020) , art. 4330, ISSN 2041-1723

DOI: 10.1038/s41467-020-17359-2
PMID: 32859912

24 p, 2.2 MB

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