Pan-cancer analysis of whole genomes

Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart;Jennifer L. Jennings;Lincoln D. Stein;Marc D. Perry;Hardeep K. Nahal-Bose;B. F.Francis Ouellette;Constance H. Li;Esther Rheinbay;G. Petur Nielsen;Dennis C. Sgroi;Chin Lee Wu;William C. Faquin;Vikram Deshpande;Paul C. Boutros;Alexander J. Lazar;Katherine A. Hoadley;David N. Louis;L. Jonathan Dursi;Christina K. Yung;Matthew H. Bailey;Gordon Saksena;Keiran M. Raine;Ivo Buchhalter;Kortine Kleinheinz;Matthias Schlesner;Junjun Zhang;Wenyi Wang;David A. Wheeler;Li Ding;Jared T. Simpson;Brian D. O’Connor;Sergei Yakneen;Kyle Ellrott;Naoki Miyoshi;Adam P. Butler;Romina Royo;Solomon I. Shorser;Miguel Vazquez;Tobias Rausch;Grace Tiao;Sebastian M. Waszak;Bernardo Rodriguez-Martin;Suyash Shringarpure;健 王;焕明 杨;代明 樊;雁 俞

Wellcome Sanger Institute;University of Cambridge;Broad Institute;Harvard University;European Molecular Biology Laboratory;University of California at Santa Cruz;Ontario Institute for Cancer Research;International Cancer Genome Consortium (ICGC)/ICGC Accelerating Research in Genomic Oncology (ICGC-ARGO) Secretariat;University of Toronto;University of California at San Francisco;University of California at Los Angeles;University of Texas MD Anderson Cancer Center;University of North Carolina at Chapel Hill;Washington University St. Louis;German Cancer Research Center;Heidelberg University ;Baylor College of Medicine;Oregon Health and Science University;The University of Tokyo;ICREA and Barcelona Supercomputing Center;Norwegian University of Science and Technology;University of Santiago de Compostela;University of Vigo;Stanford University;China Association for Science and Technology

发表时间:2020-2-6

期 刊:Nature

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=85079038817&partnerID=8YFLogxK

摘要

Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1–3. 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 genomes8,10–18.

文献指纹

医学与生命科学

Genome

Neoplasms

Mutation

Telomere

Point Mutation

Chromothripsis

Information Dissemination

Gene Fusion

High-Throughput Nucleotide Sequencing

Atlases

Neoplasm Genes

Documentation

Melanoma

Extremities

Maintenance

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999 15.599 7.183
2000 11.917 6.845
2001 9.874 6.735
2002 10.114 7.208
2003 11.384 7.504
2004 11.222 7.523
2005 10.333 7.199
2006 9.702 7.156
2007 10.344 7.097
2008 13.17 7.321
2009 15.185 8.2
2010 16.465 8.23
2011 53.1 17.598 8.652
2012 51 17.546 8.409
2013 50.9 19.69 8.482
2014 49.9 18.78 7.946
2015 51.6 19.669 8.052
2016 49.2 18.389 7.901
2017 53.7 17.875 8.647
2018 55.7 16.345 9.448
2019 51 14.047 8.82
2020 49.5

相似文献推荐