Effect of selective glucocorticoid receptor modulation (SGRM) on gene expression in human prostate cancer cell lines
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE97204 | GEO | 2017/08/18
SECONDARY ACCESSION(S): PRJNA380950
REPOSITORIES: GEO
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Project description:We report the androgen receptor recruitment to the chromatin of androgen responsive prostate cancer cell lines, LNCaP-1F5 and VCaP in response to physiological androgen 5a-dihydrotestosterone (DHT) using ChIP-sequencing. We compare the AR recruitment by DHT to that by partial agonist/antagonist cyproterone acetate (CPA), mifepristone (RU486) and bicalutamide (Bica) in LNCaP-1F5 cells. We also report the role of glucocorticoid receptor recruitment in presence of dexamethasone (Dex) in androgen responsive prostate cancer cells. The AR and GR cistrome analysis is subsequently compared with gene expression data and RNA Pol II analysis. The ChIP-seq has been performed using AR, GR, RNA Pol II antibodies. Examination of AR and GR binding sites in LNCaP-1F5 and VCaP cells in presence of DHT and Dex respectively. Further analysis of AR binding sites in LNCaP-1F5 cells treated with partial agonist/antagonists, CPA, RU486 and Bica. Additionally RNA Pol II mapping is performed in cells treated with DHT and Dex.
2013-02-05 | E-GEOD-39879 | biostudies-arrayexpress
Project description:HGU133+2.0 Microarray on TNBC cells (MDA-MB-231) treated for 4, 8, or 12h with vehicle, 100nM dexamethasone, 100nM Dex/100nM Mifepristone, or 100nM Dex/100nM CORT108297 Purpose: Although high glucocorticoid receptor (GR) expression in early-stage estrogen receptor (ER)-negative breast cancer (BC) is associated with shortened relapse-free survival (RFS), how associated GR transcriptional activity contributes to aggressive BC 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. 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 BCs. The resulting subset of GR targeted genes was analyzed in two independent ER-negative BC 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 comprised of n=74 GR activation-associated genes (also reversed by GR antagonists) was derived from an adjuvant chemotherapy-treated Discovery cohort and found to predicted probability of relapse in a separate Validation cohort (HR=1.9; p= 0.012). Conclusions: The GRsig discovered herein identifies high-risk ER-negative/GR-positive BCs 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 of these high-risk patients.
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Project description:The treatment of advanced prostate cancer has been transformed by novel antiandrogen therapies such as enzalutamide. Using the LnCaP/AR xenograft model, we identified induction of glucocorticoid receptor (GR) expression as a common feature of drug resistant tumors. From a resistant xenograft tumor, we derived a GR expressing resistant subline called LREX. In this model, activation of GR and AR activate a similar but distinguishable set of target genes.
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Project description:The treatment of advanced prostate cancer has been transformed by novel antiandrogen therapies such as enzalutamide. Using the LnCaP/AR xenograft model, we identified induction of glucocorticoid receptor (GR) expression as a common feature of drug resistant tumors. From a resistant xenograft tumor, we derived a GR expressing resistant subline called LREX. In this model, activation of GR and AR activate a similar but distinguishable set of target genes. LREX' cells were cultured in steroid depleted media and then treated for 8 hours with the indicated drugs in biological triplicates.
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