Nature Communications (Sep 2017)

An in-silico approach to predict and exploit synthetic lethality in cancer metabolism

  • Iñigo Apaolaza,
  • Edurne San José-Eneriz,
  • Luis Tobalina,
  • Estíbaliz Miranda,
  • Leire Garate,
  • Xabier Agirre,
  • Felipe Prósper,
  • Francisco J. Planes

DOI
https://doi.org/10.1038/s41467-017-00555-y
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 9

Abstract

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Exploiting synthetic lethality is a promising approach for cancer therapy. Here, the authors present an approach to identifying such interactions by finding genetic minimal cut sets (gMCSs) that block cancer proliferation, and apply it to study the lethality of RRM1 inhibition in multiple myeloma.