학술논문

Pan-cancer analysis of whole genomes
Document Type
article
Author
Campbell, Peter JGetz, GadKorbel, Jan OStuart, Joshua MJennings, Jennifer LStein, Lincoln DPerry, Marc DNahal-Bose, Hardeep KOuellette, BF FrancisLi, Constance HRheinbay, EstherNielsen, G PeturSgroi, Dennis CWu, Chin-LeeFaquin, William CDeshpande, VikramBoutros, Paul CLazar, Alexander JHoadley, Katherine ALouis, David NDursi, L JonathanYung, Christina KBailey, Matthew HSaksena, GordonRaine, Keiran MBuchhalter, IvoKleinheinz, KortineSchlesner, MatthiasZhang, JunjunWang, WenyiWheeler, David ADing, LiSimpson, Jared TO'Connor, Brian DYakneen, SergeiEllrott, KyleMiyoshi, NaokiButler, Adam PRoyo, RominaShorser, Solomon IVazquez, MiguelRausch, TobiasTiao, GraceWaszak, Sebastian MRodriguez-Martin, BernardoShringarpure, SuyashWu, Dai-YingDemidov, German MDelaneau, OlivierHayashi, ShutoImoto, SeiyaHabermann, NinaSegre, Ayellet VGarrison, ErikCafferkey, AndyAlvarez, Eva GMaria Heredia-Genestar, JoseMuyas, FrancescDrechsel, OliverBruzos, Alicia LTemes, JavierZamora, JorgeBaez-Ortega, AdrianKim, Hyung-LaeMashl, R JayYe, KaiDiBiase, AnthonyHuang, Kuan-linLetunic, IvicaMcLellan, Michael DNewhouse, Steven JShmaya, TalKumar, SushantWedge, David CWright, Mark HYellapantula, Venkata DGerstein, MarkKhurana, EktaMarques-Bonet, TomasNavarro, ArcadiBustamante, Carlos DSiebert, ReinerNakagawa, HidewakiEaston, Douglas FOssowski, StephanTubio, Jose MCDe La Vega, Francisco MEstivill, XavierYuen, DenisMihaiescu, George LOmberg, LarssonFerretti, VincentSabarinathan, RadhakrishnanPich, OriolGonzalez-Perez, AbelWeiner, Amaro TaylorFittall, Matthew WDemeulemeester, JonasTarabichi, MaximeRoberts, Nicola D
Source
Nature. 578(7793)
Subject
Biological Sciences
Biomedical and Clinical Sciences
Bioinformatics and Computational Biology
Genetics
Oncology and Carcinogenesis
Cancer
Human Genome
Genetic Testing
Biotechnology
Aetiology
2.1 Biological and endogenous factors
Cell Proliferation
Cellular Senescence
Chromothripsis
Cloud Computing
DNA Mutational Analysis
Evolution
Molecular
Female
Genome
Human
Genomics
Germ-Line Mutation
High-Throughput Nucleotide Sequencing
Humans
Information Dissemination
Male
Mutagenesis
Mutation
Neoplasms
Oncogenes
Promoter Regions
Genetic
RNA Splicing
Reproducibility of Results
Telomerase
Telomere
ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium
General Science & Technology
Language
Abstract
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.