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WeightNameValue
1000 Titel
  • Pan-cancer analysis of whole genomes
1000 Autor/in
  1. The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium |
1000 Erscheinungsjahr 2020
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-02-05
1000 Erschienen in
1000 Quellenangabe
  • 578(7793):82-93
1000 FRL-Sammlung
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41586-020-1969-6 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025898/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41586-020-1969-6#Sec23 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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 genomes.
1000 Sacherschließung
lokal Genomics
lokal RNA Splicing/genetics [MeSH]
lokal Information Dissemination
lokal Genome, Human/genetics
lokal Mutation
lokal Evolution, Molecular [MeSH]
lokal Genomics [MeSH]
lokal Cell Proliferation/genetics [MeSH]
lokal Neoplasms/pathology [MeSH]
lokal Cell Proliferation/genetics
lokal Telomere/genetics [MeSH]
lokal Chromothripsis [MeSH]
lokal Female [MeSH]
lokal Mutation [MeSH]
lokal Evolution, Molecular
lokal Humans [MeSH]
lokal Cloud Computing [MeSH]
lokal Germ-Line Mutation/genetics
lokal Reproducibility of Results [MeSH]
lokal Male
lokal Promoter Regions, Genetic/genetics
lokal Telomere/genetics
lokal Chromothripsis
lokal High-Throughput Nucleotide Sequencing [MeSH]
lokal Mutagenesis/genetics [MeSH]
lokal High-Throughput Nucleotide Sequencing
lokal Cellular Senescence/genetics
lokal DNA Mutational Analysis [MeSH]
lokal Female
lokal Neoplasms/classification
lokal Male [MeSH]
lokal DNA Mutational Analysis
lokal Information Dissemination [MeSH]
lokal Neoplasms/classification [MeSH]
lokal Mutagenesis/genetics
lokal Cellular Senescence/genetics [MeSH]
lokal Oncogenes/genetics [MeSH]
lokal Germ-Line Mutation/genetics [MeSH]
lokal Oncogenes/genetics
lokal Humans
lokal Telomerase/genetics [MeSH]
lokal Neoplasms/genetics
lokal RNA Splicing/genetics
lokal Neoplasms/genetics [MeSH]
lokal Telomerase/genetics
lokal Promoter Regions, Genetic/genetics [MeSH]
lokal Genome, Human/genetics [MeSH]
lokal Reproducibility of Results
lokal Neoplasms/pathology
lokal Cloud Computing
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/VGhlIElDR0MvVENHQSBQYW4tQ2FuY2VyIEFuYWx5c2lzIG9mIFdob2xlIEdlbm9tZXMgQ29uc29ydGl1bQ==
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1000 Fördernummer
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1000 Förderprogramm
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1000 Dateien
  1. Pan-cancer analysis of whole genomes
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1000 Erstellt am 2024-05-08T09:11:14.076+0200
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1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Tue May 28 10:47:44 CEST 2024
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1000 Vgl. frl:6475646
1000 Oai Id
  1. oai:frl.publisso.de:frl:6475646 |
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