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Revealing the Determinants of Widespread Alternative Splicing Perturbation in Cancer.
Li, Yongsheng; Sahni, Nidhi; Pancsa, Rita; McGrail, Daniel J; Xu, Juan; Hua, Xu; Coulombe-Huntington, Jasmin; Ryan, Michael; Tychhon, Boranai; Sudhakar, Dhanistha; Hu, Limei; Tyers, Michael; Jiang, Xiaoqian; Lin, Shiaw-Yih; Babu, M Madan; Yi, Song.
Afiliação
  • Li Y; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; College of Bioinformatics Science and Technology and Bio-Pharmaceutical Key Laboratory of Heilongjiang Province, Harbin Medical University, Harbin 150081, China.
  • Sahni N; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: nsahni@mdanderson.org.
  • Pancsa R; Medical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
  • McGrail DJ; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Xu J; College of Bioinformatics Science and Technology and Bio-Pharmaceutical Key Laboratory of Heilongjiang Province, Harbin Medical University, Harbin 150081, China.
  • Hua X; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Coulombe-Huntington J; Institute for Research in Immunology and Cancer, Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada.
  • Ryan M; In Silico Solutions, Falls Church, VA 22043, USA.
  • Tychhon B; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Sudhakar D; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Hu L; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Tyers M; Institute for Research in Immunology and Cancer, Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada.
  • Jiang X; Division of Biomedical Informatics, University of California at San Diego, La Jolla, CA 92093, USA.
  • Lin SY; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Babu MM; Medical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK. Electronic address: madanm@mrc-lmb.cam.ac.uk.
  • Yi S; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: syi2@mdanderson.org.
Cell Rep ; 21(3): 798-812, 2017 Oct 17.
Article em En | MEDLINE | ID: mdl-29045845
ABSTRACT
It is increasingly appreciated that alternative splicing plays a key role in generating functional specificity and diversity in cancer. However, the mechanisms by which cancer mutations perturb splicing remain unknown. Here, we developed a network-based strategy, DrAS-Net, to investigate more than 2.5 million variants across cancer types and link somatic mutations with cancer-specific splicing events. We identified more than 40,000 driver variant candidates and their 80,000 putative splicing targets deregulated in 33 cancer types and inferred their functional impact. Strikingly, tumors with splicing perturbations show reduced expression of immune system-related genes and increased expression of cell proliferation markers. Tumors harboring different mutations in the same gene often exhibit distinct splicing perturbations. Further stratification of 10,000 patients based on their mutation-splicing relationships identifies subtypes with distinct clinical features, including survival rates. Our work reveals how single-nucleotide changes can alter the repertoires of splicing isoforms, providing insights into oncogenic mechanisms for precision medicine.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento Alternativo / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento Alternativo / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article