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Assessing inhibitors of mutant isocitrate dehydrogenase using a suite of pre-clinical discovery assays

Authors :
Matthew D. Hall
Andrew L. McIver
Pranav Shah
Min Shen
Natalia J. Martinez
Anton Simeonov
Rajan Pragani
Hongchao Zheng
Ajit Jadhav
Matthew B. Boxer
Mindy I. Davis
Kyle R. Brimacombe
Jason M. Rohde
Surendra Karavadhi
Tobie D. Lee
Olivia W. Lee
Dorian M. Cheff
Xin Xu
Mark J. Henderson
Steve Titus
Yuhong Wang
Amy Wang
Daniel J. Urban
Xiaodong Wang
Publication Year :
2017
Publisher :
Cold Spring Harbor Laboratory, 2017.

Abstract

Isocitrate dehydrogenase 1 and 2 (IDH1 and IDH2) are key metabolic enzymes that are mutated in a variety of cancers to confer a gain-of-function activity resulting in the accumulation and secretion of an oncometabolite, D-2-hydroxyglutarate (2-HG). Accumulation of 2-HG can result in epigenetic dysregulation and a block in cellular differentiation, suggesting these mutations play a role in neoplasia. Based on its potential as a cancer target, a number of small molecule inhibitors have been developed to specifically inhibit mutant forms of IDH (mIDH1 and mIDH2). Here, a panel of mIDH inhibitors were systematically profiled using biochemical, cell-based, and tier-one ADME techniques. We quantified the biochemical effect of each inhibitor on mIDH1 (R132H and R132C) and mIDH2 (R172Q). The effect of these inhibitors on 2-HG concentrations in seven cell lines representing five different IDH1 mutations in both 2D and 3D cell cultures was assessed. Target engagement of these inhibitors was analyzed utilizing cellular thermal shift assays (CETSA), the effects of inhibitors on reversing 2-HG-induced block on leukemic cellular differentiation. We conclude from our mIDH1 assay panel that AG-120 and a Novartis inhibitor exhibited excellent activity in all biochemical and most cellular assays. While AG-120 has superior DMPK properties, it lacks efficacy a leukemic differentiation model. In conclusion, we present a comprehensive suite of in vitro preclinical drug development assays that can be used as a tool-box to identify lead compounds for mIDH drug discovery programs, as well as what we believe is the most comprehensive publically available dataset on the top mIDH inhibitors.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....0b6c0f4a8b3cdd15da60fda634e69eee
Full Text :
https://doi.org/10.1101/124024