Prediction of individualized therapeutic vulnerabilities in cancer from genomic profiles Journal Article


Authors: Aksoy, B. A.; Demir, E.; Babur, Ö; Wang, W.; Jing, X.; Schultz, N.; Sander, C.
Article Title: Prediction of individualized therapeutic vulnerabilities in cancer from genomic profiles
Abstract: Motivation: Somatic homozygous deletions of chromosomal regions in cancer, while not necessarily oncogenic, may lead to therapeutic vulnerabilities specific to cancer cells compared with normal cells. A recently reported example is the loss of one of the two isoenzymes in glioblastoma cancer cells such that the use of a specific inhibitor selectively inhibited growth of the cancer cells, which had become fully dependent on the second isoenzyme. We have now made use of the unprecedented conjunction of large-scale cancer genomics profiling of tumor samples in The Cancer Genome Atlas (TCGA) and of tumor-derived cell lines in the Cancer Cell Line Encyclopedia, as well as the availability of integrated pathway information systems, such as Pathway Commons, to systematically search for a comprehensive set of such epistatic vulnerabilities. Results: Based on homozygous deletions affecting metabolic enzymes in 16 TCGA cancer studies and 972 cancer cell lines, we identified 4104 candidate metabolic vulnerabilities present in 1019 tumor samples and 482 cell lines. Up to 44% of these vulnerabilities can be targeted with at least one Food and Drug Administration-approved drug. We suggest focused experiments to test these vulnerabilities and clinical trials based on personalized genomic profiles of those that pass preclinical filters. We conclude that genomic profiling will in the future provide a promising basis for network pharmacology of epistatic vulnerabilities as a promising therapeutic strategy. © 2014 The Author 2014.
Journal Title: Bioinformatics
Volume: 30
Issue: 14
ISSN: 1367-4803
Publisher: Oxford University Press  
Date Published: 2014-03-24
Start Page: 2051
End Page: 2059
Language: English
DOI: 10.1093/bioinformatics/btu164
PROVIDER: scopus
PMCID: PMC4080742
PUBMED: 24665131
DOI/URL:
Notes: Export Date: 1 August 2014 -- CODEN: BOINF -- Source: Scopus
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MSK Authors
  1. Xiaohong Jing
    21 Jing
  2. Wei-Qing Wang
    10 Wang
  3. Ozgun Babur
    12 Babur
  4. Chris Sander
    210 Sander
  5. Emek Demir
    27 Demir
  6. Nikolaus D Schultz
    486 Schultz
  7. Bulent Arman Aksoy
    35 Aksoy