Nature Communications (May 2017)

Systematic discovery of mutation-specific synthetic lethals by mining pan-cancer human primary tumor data

  • Subarna Sinha,
  • Daniel Thomas,
  • Steven Chan,
  • Yang Gao,
  • Diede Brunen,
  • Damoun Torabi,
  • Andreas Reinisch,
  • David Hernandez,
  • Andy Chan,
  • Erinn B. Rankin,
  • Rene Bernards,
  • Ravindra Majeti,
  • David L. Dill

DOI
https://doi.org/10.1038/ncomms15580
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 13

Abstract

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There are no robust methods for systematically identifying mutation-specific synthetic lethal (SL) partners in cancer. Here, the authors develop a computational algorithm that uses pan-cancer data to detect mutation-andcancer-specific SL partners and they validate a novel SL interaction between mutant IDH and loss of ACACA in leukaemia.