Using a novel computational drug-repositioning approach (DrugPredict) to rapidly identify potent drug candidates for cancer treatment

Oncogene. 2018 Jan 18;37(3):403-414. doi: 10.1038/onc.2017.328. Epub 2017 Oct 2.

Abstract

Computation-based drug-repurposing/repositioning approaches can greatly speed up the traditional drug discovery process. To date, systematic and comprehensive computation-based approaches to identify and validate drug-repositioning candidates for epithelial ovarian cancer (EOC) have not been undertaken. Here, we present a novel drug discovery strategy that combines a computational drug-repositioning system (DrugPredict) with biological testing in cell lines in order to rapidly identify novel drug candidates for EOC. DrugPredict exploited unique repositioning opportunities rendered by a vast amount of disease genomics, phenomics, drug treatment, and genetic pathway and uniquely revealed that non-steroidal anti-inflammatories (NSAIDs) rank just as high as currently used ovarian cancer drugs. As epidemiological studies have reported decreased incidence of ovarian cancer associated with regular intake of NSAIDs, we assessed whether NSAIDs could have chemoadjuvant applications in EOC and found that (i) NSAID Indomethacin induces robust cell death in primary patient-derived platinum-sensitive and platinum- resistant ovarian cancer cells and ovarian cancer stem cells and (ii) downregulation of β-catenin is partially driving effects of Indomethacin in cisplatin-resistant cells. In summary, we demonstrate that DrugPredict represents an innovative computational drug- discovery strategy to uncover drugs that are routinely used for other indications that could be effective in treating various cancers, thus introducing a potentially rapid and cost-effective translational opportunity. As NSAIDs are already in routine use in gynecological treatment regimens and have acceptable safety profile, our results will provide with a rationale for testing NSAIDs as potential chemoadjuvants in EOC patient trials.

Publication types

  • Evaluation Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Anti-Inflammatory Agents, Non-Steroidal / pharmacology
  • Anti-Inflammatory Agents, Non-Steroidal / therapeutic use*
  • Carcinoma, Ovarian Epithelial
  • Cell Line, Tumor
  • Chemotherapy, Adjuvant / methods
  • Computational Biology / methods*
  • Drug Discovery / methods*
  • Drug Repositioning / methods*
  • Female
  • Gene Expression Profiling
  • Genomics / methods
  • Humans
  • Incidence
  • Indomethacin / pharmacology
  • Indomethacin / therapeutic use
  • Mice
  • Neoplasms, Glandular and Epithelial / drug therapy*
  • Neoplasms, Glandular and Epithelial / epidemiology
  • Neoplasms, Glandular and Epithelial / genetics
  • Ovarian Neoplasms / drug therapy*
  • Ovarian Neoplasms / epidemiology
  • Ovarian Neoplasms / genetics
  • Phenotype
  • Sequence Homology, Nucleic Acid
  • Wnt Signaling Pathway / drug effects
  • beta Catenin / metabolism

Substances

  • Anti-Inflammatory Agents, Non-Steroidal
  • CTNNB1 protein, human
  • beta Catenin
  • Indomethacin