Predicting response to BET inhibitors using computational modeling: A BEAT AML project study

Leylah M. Drusbosky,Robinson Vidva,Saji Gera,Anjanasree V. Lakshminarayana,Vijayashree P. Shyamasundar,Ashish Kumar Agrawal,Anay Talawdekar,Taher Abbasi,Shireen Vali,Cristina E. Tognon,Stephen E. Kurtz,Jeffrey W. Tyner,Shannon K. McWeeney,Brian J. Druker,Christopher R. Cogle

Leukemia Research（2019）

引用 12|浏览64

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摘要

•Predict AML treatment response based on tumor genomics using computational modeling.•Predict response to bromodomain (BRD) and extra-terminal (BET) inhibitor JQ1.•Patient cohort was 100 patients randomly selected from the BEAT AML project.•Predicted disease inhibition scores matched ex vivo IC50 with 86% accuracy.•Genomic predictors of response to BET inhibitor JQ1 were identified.

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关键词

AML,BRD,BET,iBET,CBM,OS,TKI,DIS

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