%0 Journal Article
%A ICGC/TCGAPan-CancerAnalysisofWholeGenomesConsortium
%T Pan-cancer analysis of whole genomes.
%J Nature 
%V 578
%N 7793
%@ 1476-4687
%C London [u.a.]
%I Nature Publ. Group52462
%M DKFZ-2020-01051
%P 82 - 93
%D 2020
%Z 2020 Feb;578(7793):82-93 / siehe Correction: DKFZ Autoren affiliiert im PCAWG Consortium: https://inrepo02.dkfz.de/record/265692   /  https://doi.org/10.1038/s41586-022-05598-w
%X 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
%K Cell Proliferation: genetics
%K Cellular Senescence: genetics
%K Chromothripsis
%K Cloud Computing
%K DNA Mutational Analysis
%K Evolution, Molecular
%K Female
%K Genome, Human: genetics
%K Genomics
%K Germ-Line Mutation: genetics
%K High-Throughput Nucleotide Sequencing
%K Humans
%K Information Dissemination
%K Male
%K Mutagenesis: genetics
%K Mutation
%K Neoplasms: classification
%K Neoplasms: genetics
%K Neoplasms: pathology
%K Oncogenes: genetics
%K Promoter Regions, Genetic: genetics
%K RNA Splicing: genetics
%K Reproducibility of Results
%K Telomerase: genetics
%K Telomere: genetics
%K TERT protein, human (NLM Chemicals)
%K Telomerase (NLM Chemicals)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:32025007
%2 pmc:PMC7025898
%R 10.1038/s41586-020-1969-6
%U https://inrepo02.dkfz.de/record/156705