Pan-cancer analysis of whole genomes

The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, et al. (2020) Pan-cancer analysis of whole genomes. Nature, 578(7793), pp. 82-93. (doi: 10.1038/s41586-020-1969-6) (PMID:32025007) (PMCID:PMC7025898)

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Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1,2,3. Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4–5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter4; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation5,6; analyses timings and patterns of tumour evolution7; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity8,9; and evaluates a range of more-specialized features of cancer genomes8,10,11,12,13,14,15,16,17,18.

Item Type:Articles
Additional Information:University of Glasgow authors are members of The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium.
Glasgow Author(s) Enlighten ID:Wright, Mr Derek and Jamieson, Professor Nigel and Cooke, Dr Susie and Biankin, Professor Andrew and Martin, Ms Sancha and Graham, Dr Janet and Bailey, Dr Peter and Oien, Professor Karin and Musgrove, Dr Elizabeth and Duthie, Dr Fraser and Yuan, Dr Ke and Chang, Professor David
Authors: The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, , Bailey, P. J., Chang, D. K., Cooke, S. L., Biankin, A. V., Duthie, F. R., Graham, J. S., Jamieson, N. B., Musgrove, E. A., Martin, S., Yuan, K., Wright, D. W., and Oien, K. A.
College/School:College of Medical Veterinary and Life Sciences > School of Cancer Sciences
College of Medical Veterinary and Life Sciences > School of Infection & Immunity
College of Science and Engineering > School of Computing Science
College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Virus Research
Journal Name:Nature
Publisher:Nature Research
ISSN (Online):1476-4687
Published Online:05 February 2020
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in Nature 578(7793): 82-93
Publisher Policy:Reproduced under a Creative Commons License

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