Mapping the protein-protein and genetic interactions of cancer to guide precision medicine

Curr Opin Genet Dev. 2019 Feb;54:110-117. doi: 10.1016/j.gde.2019.04.005. Epub 2019 Jul 6.


Massive efforts to sequence cancer genomes have compiled an impressive catalogue of cancer mutations, revealing the recurrent exploitation of a handful of 'hallmark cancer pathways'. However, unraveling how sets of mutated proteins in these and other pathways hijack pro-proliferative signaling networks and dictate therapeutic responsiveness remains challenging. Here, we show that cancer driver protein-protein interactions are enriched for additional cancer drivers, highlighting the power of physical interaction maps to explain known, as well as uncover new, disease-promoting pathway interrelationships. We hypothesize that by systematically mapping the protein-protein and genetic interactions in cancer-thereby creating Cancer Cell Maps-we will create resources against which to contextualize a patient's mutations into perturbed pathways/complexes and thereby specify a matching targeted therapeutic cocktail.

Publication types

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

MeSH terms

  • Computational Biology
  • Databases, Genetic
  • Epistasis, Genetic / genetics*
  • Gene Regulatory Networks
  • Humans
  • Mutation / genetics
  • Neoplasms / genetics*
  • Precision Medicine*
  • Protein Interaction Maps / genetics*
  • Signal Transduction / genetics