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Acquired resistance to combined BET and CDK4/6 inhibition in triple-negative breast cancer

Authors :
Bojana Jovanovic
Kornelia Polyak
Anushree C. Gulvady
Tom O. McDonald
David Pellman
Aaron R. Thorner
Kai W. Wucherpfennig
Katherine Murphy
Anne Fassl
Mijung Kwon
Piotr Sicinski
Anne Trinh
Cloud P. Paweletz
Shaokun Shu
Adrienne M. Luoma
Franziska Michor
Yanan Kuang
Jun Qi
Myles Brown
Jennifer Y Ge
Grace A. Heavey
Source :
Nature Communications, Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Publication Year :
2020
Publisher :
Nature Publishing Group UK, 2020.

Abstract

BET inhibitors are promising therapeutic agents for the treatment of triple-negative breast cancer (TNBC), but the rapid emergence of resistance necessitates investigation of combination therapies and their effects on tumor evolution. Here, we show that palbociclib, a CDK4/6 inhibitor, and paclitaxel, a microtubule inhibitor, synergize with the BET inhibitor JQ1 in TNBC lines. High-complexity DNA barcoding and mathematical modeling indicate a high rate of de novo acquired resistance to these drugs relative to pre-existing resistance. We demonstrate that the combination of JQ1 and palbociclib induces cell division errors, which can increase the chance of developing aneuploidy. Characterizing acquired resistance to combination treatment at a single cell level shows heterogeneous mechanisms including activation of G1-S and senescence pathways. Our results establish a rationale for further investigation of combined BET and CDK4/6 inhibition in TNBC and suggest novel mechanisms of action for these drugs and new vulnerabilities in cells after emergence of resistance.<br />Effective combination therapies to improve the efficacy of BET inhibitors are currently under investigation. Here, the authors examine palbociclib and paclitaxel as two promising candidates for combination therapies with BET inhibition in breast cancer and investigate the dynamics of resistance to these combinations through DNA barcoding and mathematical modelling.

Details

Language :
English
ISSN :
20411723
Volume :
11
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....e93cffb3f3bbb2c0a57695bd9dae233f