Abstract

The market approval of Tazemetostat (TAZVERIK) for the treatment of follicular lymphoma and epithelioid sarcoma has established “enhancer of zeste homolog 2” (EZH2) as therapeutic target in oncology. Despite their structural similarities and common mode of inhibition, Tazemetostat and other EZH2 inhibitors display differentiated pharmacological profiles based on their target residence time. Here we established high throughput screening methods based on time-resolved fluorescence energy transfer, scintillation proximity and high content analysis microscopy to quantify the biochemical and cellular binding of a chemically diverse collection of EZH2 inhibitors. These assays allowed to further characterize the interplay between EZH2 allosteric modulation by methylated histone tails (H3K27me3) and inhibitor binding, and to evaluate the impact of EZH2’s clinically relevant mutant Y641N on drug target residence times. While all compounds in this study exhibited slower off-rates, those with clinical candidate status display significantly slower target residence times in wild type EZH2 and disease-related mutants. These inhibitors interact in a more entropy-driven fashion and show the most persistent effects in cellular washout and antiproliferative efficacy experiments. Our work provides mechanistic insights for the largest cohort of EZH2 inhibitors reported to date, demonstrating that—among several other binding parameters—target residence time is the best predictor of cellular efficacy.

Details

Title
A miniaturized mode-of-action profiling platform enables high throughput characterization of the molecular and cellular dynamics of EZH2 inhibition
Author
Falkenstern, Lilia 1 ; Georgi, Victoria 2 ; Bunse, Stefanie 2 ; Badock, Volker 2 ; Husemann, Manfred 3 ; Roehn, Ulrike 2 ; Stellfeld, Timo 2 ; Fitzgerald, Mark 4 ; Ferrara, Steven 5 ; Stöckigt, Detlef 2 ; Stresemann, Carlo 2 ; Hartung, Ingo V. 6 ; Fernández-Montalván, Amaury 7 

 Bayer AG, Berlin, Germany (GRID:grid.420044.6) (ISNI:0000 0004 0374 4101); Rentschler Biopharma SE, Laupheim, Germany (GRID:grid.511380.e) (ISNI:0000 0004 9339 8547) 
 Bayer AG, Berlin, Germany (GRID:grid.420044.6) (ISNI:0000 0004 0374 4101); Nuvisan Innovation Campus Berlin, Berlin, Germany (GRID:grid.491785.6) (ISNI:0000 0004 0446 9279) 
 Bayer AG, Berlin, Germany (GRID:grid.420044.6) (ISNI:0000 0004 0374 4101) 
 Bayer AG, Berlin, Germany (GRID:grid.420044.6) (ISNI:0000 0004 0374 4101); Nested Therapeutics, Cambridge, USA (GRID:grid.420044.6) 
 Broad Institute, Cambridge, USA (GRID:grid.66859.34) (ISNI:0000 0004 0546 1623) 
 Bayer AG, Berlin, Germany (GRID:grid.420044.6) (ISNI:0000 0004 0374 4101); Merck KGaA, Darmstadt, Germany (GRID:grid.39009.33) (ISNI:0000 0001 0672 7022) 
 Bayer AG, Berlin, Germany (GRID:grid.420044.6) (ISNI:0000 0004 0374 4101); Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany (GRID:grid.420061.1) (ISNI:0000 0001 2171 7500) 
Pages
1739
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2916554096
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.