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Characterization of the novel and specific PI3Kα inhibitor NVP-BYL719 and development of the patient stratification strategy for clinical trials

Authors :
Pascal Furet
Joseph Lehar
Alain De Pover
Christine D. Wilson
Manway Liu
Daniel Guthy
Sauveur-Michel Maira
Dirk Erdmann
Anupama Reddy
Joerg Trappe
Patrick Chène
Stephane Ferretti
Audrey Kauffmann
William R. Sellers
Robert Schlegel
Youzhen Wang
Giorgio Caravatti
Christine Fritsch
Christian Schnell
Markus Boehm
Hui Gao
Robert Cozens
Christian Chatenay-Rivauday
Saskia M. Brachmann
Francesco Hofmann
Alan Huang
Carlos Garcia-Echeverria
Marion Wiesmann
Source :
Molecular cancer therapeutics. 13(5)
Publication Year :
2014

Abstract

Somatic PIK3CA mutations are frequently found in solid tumors, raising the hypothesis that selective inhibition of PI3Kα may have robust efficacy in PIK3CA-mutant cancers while sparing patients the side-effects associated with broader inhibition of the class I phosphoinositide 3-kinase (PI3K) family. Here, we report the biologic properties of the 2-aminothiazole derivative NVP-BYL719, a selective inhibitor of PI3Kα and its most common oncogenic mutant forms. The compound selectivity combined with excellent drug-like properties translates to dose- and time-dependent inhibition of PI3Kα signaling in vivo, resulting in robust therapeutic efficacy and tolerability in PIK3CA-dependent tumors. Novel targeted therapeutics such as NVP-BYL719, designed to modulate aberrant functions elicited by cancer-specific genetic alterations upon which the disease depends, require well-defined patient stratification strategies in order to maximize their therapeutic impact and benefit for the patients. Here, we also describe the application of the Cancer Cell Line Encyclopedia as a preclinical platform to refine the patient stratification strategy for NVP-BYL719 and found that PIK3CA mutation was the foremost positive predictor of sensitivity while revealing additional positive and negative associations such as PIK3CA amplification and PTEN mutation, respectively. These patient selection determinants are being assayed in the ongoing NVP-BYL719 clinical trials. Mol Cancer Ther; 13(5); 1117–29. ©2014 AACR.

Details

ISSN :
15388514
Volume :
13
Issue :
5
Database :
OpenAIRE
Journal :
Molecular cancer therapeutics
Accession number :
edsair.doi.dedup.....90588e577efd4524605107b7930fc86f