| Literature DB >> 28455421 |
Bo Li1, Triona Ni Chonghaile2, Yue Fan1, Stephen F Madden3, Rut Klinger1, Aisling E O'Connor1, Louise Walsh4, Gillian O'Hurley5, Girish Mallya Udupi5, Jesuchristopher Joseph5, Finbarr Tarrant1, Emer Conroy1, Alexander Gaber6, Suet-Feung Chin7, Helen A Bardwell7, Elena Provenzano8, John Crown9, Thierry Dubois10, Sabine Linn11, Karin Jirstrom6, Carlos Caldas7, Darran P O'Connor4, William M Gallagher12,5.
Abstract
Triple-negative breast cancer (TNBC) patients commonly exhibit poor prognosis and high relapse after treatment, but there remains a lack of biomarkers and effective targeted therapies for this disease. Here, we report evidence highlighting the cell-cycle-related kinase CDK7 as a driver and candidate therapeutic target in TNBC. Using publicly available transcriptomic data from a collated set of TNBC patients (n = 383) and the METABRIC TNBC dataset (n = 217), we found CDK7 mRNA levels to be correlated with patient prognosis. High CDK7 protein expression was associated with poor prognosis within the RATHER TNBC cohort (n = 109) and the METABRIC TNBC cohort (n = 203). The highly specific CDK7 kinase inhibitors, BS-181 and THZ1, each downregulated CDK7-mediated phosphorylation of RNA polymerase II, indicative of transcriptional inhibition, with THZ1 exhibiting 500-fold greater potency than BS-181. Mechanistic investigations revealed that the survival of MDA-MB-231 TNBC cells relied heavily on the BCL-2/BCL-XL signaling axes in cells. Accordingly, we found that combining the BCL-2/BCL-XL inhibitors ABT-263/ABT199 with the CDK7 inhibitor THZ1 synergized in producing growth inhibition and apoptosis of human TNBC cells. Collectively, our results highlight elevated CDK7 expression as a candidate biomarker of poor prognosis in TNBC, and they offer a preclinical proof of concept for combining CDK7 and BCL-2/BCL-XL inhibitors as a mechanism-based therapeutic strategy to improve TNBC treatment. Cancer Res; 77(14); 3834-45. ©2017 AACR. ©2017 American Association for Cancer Research.Entities:
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Year: 2017 PMID: 28455421 DOI: 10.1158/0008-5472.CAN-16-2546
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701