Combination drug screen targeting glioblastoma core vulnerabilities reveals pharmacological synergisms

authors

  • Ariey-Bonnet Jérémy
  • Berges Raphael
  • Montero Marie-Pierre
  • Mouysset Baptiste
  • Piris Patricia
  • Muller Kevin
  • Pinna Guillaume
  • Failes Tim W
  • Arndt Greg M
  • Morando Philippe
  • Baeza-Kallee Nathalie
  • Colin Carole
  • Chinot Olivier
  • Braguer Diane
  • Morelli Xavier
  • André Nicolas
  • Carré Manon
  • Tabouret Emeline
  • Figarella-Branger Dominique
  • Le Grand Marion
  • Pasquier Eddy Eddy

keywords

  • Drug combination screening
  • Target deconvolution
  • Pharmacological synergisms
  • Glioblastoma
  • Cancer vulnerabilities

document type

ART

abstract

Background Pharmacological synergisms are an attractive anticancer strategy. However, with more than 5000 approved-drugs and compounds in clinical development, identifying synergistic treatments represents a major challenge. Methods High-throughput screening was combined with target deconvolution and functional genomics to reveal targetable vulnerabilities in glioblastoma. The role of the top gene hit was investigated by RNA interference, transcriptomics and immunohistochemistry in glioblastoma patient samples. Drug combination screen using a custom-made library of 88 compounds in association with six inhibitors of the identified glioblastoma vulnerabilities was performed to unveil pharmacological synergisms. Glioblastoma 3D spheroid, organotypic ex vivo and syngeneic orthotopic mouse models were used to validate synergistic treatments. Findings Nine targetable vulnerabilities were identified in glioblastoma and the top gene hit RRM1 was validated as an independent prognostic factor. The associations of CHK1/MEK and AURKA/BET inhibitors were identified as the most potent amongst 528 tested pairwise drug combinations and their efficacy was validated in 3D spheroid models. The high synergism of AURKA/BET dual inhibition was confirmed in ex vivo and in vivo glioblastoma models, without detectable toxicity. Interpretation Our work provides strong pre-clinical evidence of the efficacy of AURKA/BET inhibitor combination in glioblastoma and opens new therapeutic avenues for this unmet medical need. Besides, we established the proof-of-concept of a stepwise approach aiming at exploiting drug poly-pharmacology to unveil druggable cancer vulnerabilities and to fast-track the identification of synergistic combinations against refractory cancers.

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