Journal Article DKFZ-2020-00343

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Genomic basis for RNA alterations in cancer.

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2020
Nature Publ. Group52462 London [u.a.]

Nature <London> 578(7793), 129 - 136 () [10.1038/s41586-020-1970-0]
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Abstract: Transcript alterations often result from somatic changes in cancer genomes1. Various forms of RNA alterations have been described in cancer, including overexpression2, altered splicing3 and gene fusions4; however, it is difficult to attribute these to underlying genomic changes owing to heterogeneity among patients and tumour types, and the relatively small cohorts of patients for whom samples have been analysed by both transcriptome and whole-genome sequencing. Here we present, to our knowledge, the most comprehensive catalogue of cancer-associated gene alterations to date, obtained by characterizing tumour transcriptomes from 1,188 donors of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA)5. Using matched whole-genome sequencing data, we associated several categories of RNA alterations with germline and somatic DNA alterations, and identified probable genetic mechanisms. Somatic copy-number alterations were the major drivers of variations in total gene and allele-specific expression. We identified 649 associations of somatic single-nucleotide variants with gene expression in cis, of which 68.4% involved associations with flanking non-coding regions of the gene. We found 1,900 splicing alterations associated with somatic mutations, including the formation of exons within introns in proximity to Alu elements. In addition, 82% of gene fusions were associated with structural variants, including 75 of a new class, termed 'bridged' fusions, in which a third genomic location bridges two genes. We observed transcriptomic alteration signatures that differ between cancer types and have associations with variations in DNA mutational signatures. This compendium of RNA alterations in the genomic context provides a rich resource for identifying genes and mechanisms that are functionally implicated in cancer.

Classification:

Contributing Institute(s):
  1. Theoretische Bioinformatik (B080)
  2. Bioinformatik und Omics Data Analytics (B240)
  3. Epigenomik (B370)
  4. Angewandte Bioinformatik (B330)
  5. DKTK HD zentral (HD01)
  6. B060 Molekulare Genetik (B060)
  7. Pediatric Glioma (B360)
  8. DKTK BE zentral (BE01)
  9. B062 Pädiatrische Neuroonkologie (B062)
  10. B066 Chromatin-Netzwerke (B066)
  11. B063 Krebsgenomforschung (B063)
  12. Hochdurchsatz-Sequenzierung (W190)
  13. B260 Bioinformatik der Genomik und Systemgenetik (B260)
  14. W610 Core Facility Omics IT (W610)
  15. B087 Neuroblastom Genomik (B087)
Research Program(s):
  1. 312 - Functional and structural genomics (POF3-312) (POF3-312)

Appears in the scientific report 2020
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Medline ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; Current Contents - Life Sciences ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; IF >= 40 ; JCR ; NCBI Molecular Biology Database ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record
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 Record created 2020-02-11, last modified 2024-02-29



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