4.8 Article

A Comparative Genomic Approach for Identifying Synthetic Lethal Interactions in Human Cancer

Journal

CANCER RESEARCH
Volume 73, Issue 20, Pages 6128-6136

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-12-3956

Keywords

-

Categories

Funding

  1. Minnesota Partnership for Biotechnology and Medical Genomics program
  2. University of Minnesota Doctoral Dissertation Fellowship
  3. Biomedical Informatics and Computational Biology (BICB) traineeship
  4. NIH [1R01HG005084-01A1, 1R01HG005853-01]
  5. National Science Foundation [DBI 0953881]
  6. Canadian Institutes of Health Research [MOP-102629, MOP-97939, MOP-57830]
  7. Ontario Research Fund [GL2-01-22]
  8. BICB fellowship
  9. RIKEN President's Discretionary Fund
  10. Canadian Institute for Advanced Research (CIFAR) Genetic Networks Program
  11. Direct For Biological Sciences
  12. Div Of Biological Infrastructure [0953881] Funding Source: National Science Foundation

Ask authors/readers for more resources

Synthetic lethal interactions enable a novel approach for discovering specific genetic vulnerabilities in cancer cells that can be exploited for the development of therapeutics. Despite successes in model organisms such as yeast, discovering synthetic lethal interactions on a large scale in human cells remains a significant challenge. We describe a comparative genomic strategy for identifying cancer-relevant synthetic lethal interactions whereby candidate interactions are prioritized on the basis of genetic interaction data available in yeast, followed by targeted testing of candidate interactions in human cell lines. As a proof of principle, we describe two novel synthetic lethal interactions in human cells discovered by this approach, one between the tumor suppressor gene SMARCB1 and PSMA4, and another between alveolar soft-part sarcoma-associated ASPSCR1 and PSMC2. These results suggest therapeutic targets for cancers harboring mutations in SMARCB1 or ASPSCR1 and highlight the potential of a targeted, cross-species strategy for identifying synthetic lethal interactions relevant to human cancer. Cancer Res; 73(20); 6128-36. (C) 2013 AACR.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available