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Genomic basis for RNA alterations in cancer.
Calabrese, Claudia; Davidson, Natalie R; Demircioglu, Deniz; Fonseca, Nuno A; He, Yao; Kahles, André; Lehmann, Kjong-Van; Liu, Fenglin; Shiraishi, Yuichi; Soulette, Cameron M; Urban, Lara; Greger, Liliana; Li, Siliang; Liu, Dongbing; Perry, Marc D; Xiang, Qian; Zhang, Fan; Zhang, Junjun; Bailey, Peter; Erkek, Serap; Hoadley, Katherine A; Hou, Yong; Huska, Matthew R; Kilpinen, Helena; Korbel, Jan O; Marin, Maximillian G; Markowski, Julia; Nandi, Tannistha; Pan-Hammarström, Qiang; Pedamallu, Chandra Sekhar; Siebert, Reiner; Stark, Stefan G; Su, Hong; Tan, Patrick; Waszak, Sebastian M; Yung, Christina; Zhu, Shida; Awadalla, Philip; Creighton, Chad J; Meyerson, Matthew; Ouellette, B F Francis; Wu, Kui; Yang, Huanming; Brazma, Alvis; Brooks, Angela N; Göke, Jonathan; Rätsch, Gunnar; Schwarz, Roland F; Stegle, Oliver; Zhang, Zemin.
Afiliación
  • Calabrese C; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
  • Davidson NR; ETH Zurich, Zurich, Switzerland.
  • Demircioglu D; Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Fonseca NA; Weill Cornell Medical College, New York, NY, USA.
  • He Y; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Kahles A; University Hospital Zurich, Zurich, Switzerland.
  • Lehmann KV; National University of Singapore, Singapore, Singapore.
  • Liu F; Genome Institute of Singapore, Singapore, Singapore.
  • Shiraishi Y; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
  • Soulette CM; Peking University, Beijing, China.
  • Urban L; ETH Zurich, Zurich, Switzerland.
  • Greger L; Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Li S; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Liu D; University Hospital Zurich, Zurich, Switzerland.
  • Perry MD; ETH Zurich, Zurich, Switzerland.
  • Xiang Q; Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Zhang F; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Zhang J; University Hospital Zurich, Zurich, Switzerland.
  • Bailey P; Peking University, Beijing, China.
  • Erkek S; The University of Tokyo, Minato-ku, Japan.
  • Hoadley KA; University of California, Santa Cruz, Santa Cruz, CA, USA.
  • Hou Y; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
  • Huska MR; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
  • Kilpinen H; BGI-Shenzhen, Shenzhen, China.
  • Korbel JO; China National GeneBank-Shenzhen, Shenzhen, China.
  • Marin MG; BGI-Shenzhen, Shenzhen, China.
  • Markowski J; China National GeneBank-Shenzhen, Shenzhen, China.
  • Nandi T; Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Pan-Hammarström Q; University of California, San Francisco, San Francisco, CA, USA.
  • Pedamallu CS; Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Siebert R; Peking University, Beijing, China.
  • Stark SG; Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Su H; University of Glasgow, Glasgow, UK.
  • Tan P; European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
  • Waszak SM; The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Yung C; BGI-Shenzhen, Shenzhen, China.
  • Zhu S; China National GeneBank-Shenzhen, Shenzhen, China.
  • Awadalla P; Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany.
  • Creighton CJ; University College London, London, UK.
  • Meyerson M; European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
  • Ouellette BFF; University of California, Santa Cruz, Santa Cruz, CA, USA.
  • Wu K; Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany.
  • Yang H; Genome Institute of Singapore, Singapore, Singapore.
  • Brazma A; Karolinska Institutet, Stockholm, Sweden.
  • Brooks AN; Broad Institute, Cambridge, MA, USA.
  • Göke J; Dana-Farber Cancer Institute, Boston, MA, USA.
  • Rätsch G; Harvard Medical School, Boston, MA, USA.
  • Schwarz RF; Ulm University and Ulm University Medical Center, Ulm, Germany.
  • Stegle O; ETH Zurich, Zurich, Switzerland.
  • Zhang Z; Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nature ; 578(7793): 129-136, 2020 02.
Article en En | MEDLINE | ID: mdl-32025019
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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: ARN / Regulación Neoplásica de la Expresión Génica / Neoplasias Límite: Humans Idioma: En Revista: Nature Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: ARN / Regulación Neoplásica de la Expresión Génica / Neoplasias Límite: Humans Idioma: En Revista: Nature Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido