Systematic identification of cancer driving signaling pathways based on mutual exclusivity of genomic alterations Journal Article


Authors: Babur, Ö; Gönen, M.; Aksoy, B. A.; Schultz, N.; Ciriello, G.; Sander, C.; Demir, E.
Article Title: Systematic identification of cancer driving signaling pathways based on mutual exclusivity of genomic alterations
Abstract: We present a novel method for the identification of sets of mutually exclusive gene alterations in a given set of genomic profiles. We scan the groups of genes with a common downstream effect on the signaling network, using a mutual exclusivity criterion that ensures that each gene in the group significantly contributes to the mutual exclusivity pattern. We test the method on all available TCGA cancer genomics datasets, and detect multiple previously unreported alterations that show significant mutual exclusivity and are likely to be driver events. © 2015 Babur et al.; licensee BioMed Central.
Keywords: controlled study; gene mutation; neoplasm; genetic association; computer interface; cancer genetics; statistical analysis; probability; data analysis; computer simulation; computer graphics; data analysis software; genetic database; genetic algorithm; computer analysis; statistical concepts; web browser; mutual exclusivity; article; clinical data repository
Journal Title: Genome Biology
Volume: 16
Issue: 1
ISSN: 1465-6906
Publisher: Biomed Central Ltd  
Date Published: 2015-02-26
Start Page: 45
Language: English
DOI: 10.1186/s13059-015-0612-6
PROVIDER: scopus
PMCID: PMC4381444
PUBMED: 25887147
DOI/URL:
Notes: Export Date: 2 September 2015 -- Source: Scopus
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MSK Authors
  1. Mithat Gonen
    1028 Gonen
  2. Ozgun Babur
    12 Babur
  3. Chris Sander
    210 Sander
  4. Emek Demir
    27 Demir
  5. Nikolaus D Schultz
    486 Schultz
  6. Bulent Arman Aksoy
    35 Aksoy