Discovery of a glucocorticoid receptor (gr) activity signature using selective gr antagonis in er-negative breast cancer

Diana C. West, Masha Kocherginsky, Eva Y. Tonsing-Carter, D. Nesli Dolcen, David J. Hosfield, Ricardo R. Lastra, Jason P. Sinnwell, Kevin J. Thompson, Kathleen R. Bowie, Ryan V. Harkless, Maxwell N. Skor, Charles F. Pierce, Sarah C. Styke, Caroline R. Kim, Larischa De Wet, Geoffrey L. Greene, Judy C. Boughey, Matthew P. Goetz, Krishna R. Kalari, Liewei WangGini F. Fleming, Balazs Gyorffy, Suzanne D. Conzen

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


Purpose: Although high glucocorticoid receptor (GR) expression in early-stage estrogen receptor (ER)-negative breast cancer is associated with shortened relapse-free survival (RFS), how associated GR transcriptional activity contributes to aggressive breast cancer behavior is not well understood. Using potent GR antagonists and primary tumor gene expression data, we sought to identify a tumor-relevant gene signature based on GR activity that would be more predictive than GR expression alone. Experimental Design: Global gene expression and GR ChIP-sequencing were performed to identify GR-regulated genes inhibited by two chemically distinct GR antagonists, mifepristone and CORT108297. Differentially expressed genes from MDA-MB-231 cells were cross-evaluated with significantly expressed genes in GR-high versus GR-low ER-negative primary breast cancers. The resulting subset of GR-targeted genes was analyzed in two independent ER-negative breast cancer cohorts to derive and then validate the GR activity signature (GRsig). Results: Gene expression pathway analysis of glucocorticoid-regulated genes (inhibited by GR antagonism) revealed cell survival and invasion functions. GR ChIP-seq analysis demonstrated that GR antagonists decreased GR chromatin association for a subset of genes. A GRsig that comprised n ¼ 74 GR activation-associated genes (also reversed by GR antagonists) was derived from an adjuvant chemotherapy-treated Discovery cohort and found to predict probability of relapse in a separate Validation cohort (HR ¼ 1.9; P ¼ 0.012). Conclusions: The GRsig discovered herein identifies high-risk ER-negative/GR-positive breast cancers most likely to relapse despite administration of adjuvant chemotherapy. Because GR antagonism can reverse expression of these genes, we propose that addition of a GR antagonist to chemotherapy may improve outcome for these high-risk patients.

Original languageEnglish (US)
Pages (from-to)3433-3446
Number of pages14
JournalClinical Cancer Research
Issue number14
StatePublished - Jul 15 2018

ASJC Scopus subject areas

  • General Medicine


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