Dataset Information

Combinatorial Reprogramming of Estrogen Signaling by the Nuclear Receptor Family 3C

ABSTRACT: Estrogen receptor (ER) positive breast cancers exist in a complex environment of steroid hormones and their cognate receptors. Receptors for estrogens, progestogens (PR), androgens (AR), glucocorticoids (GR) and mineralocorticoids (MR) are variably expressed in these hormone- sensitive breast cancers. Clinical translation of crosstalk among these receptors has been limited by an incomplete understanding of ER reprogramming by PR, GR, AR and MR (NR3C receptors). This study reports that each of the NR3C receptors reprograms ER chromatin binding to sites enriched for NR3C binding motifs and that hormonal co-treatment increases the likelihood of ER binding to estrogen response elements. A major overlap is observed among ER conserved sites, but not among ER sites that are lost or gained due to reprogramming by each of the NR3C receptors. This stability of ER genomic binding is reflected in the resulting transcriptomes, as there is significant overlap among genes whose expression is unaltered in response to joint hormonal interventions but not among genes whose expression is enhanced or opposed by an individual NR3C receptor. The addition of NR3C ligands can enhance or oppose estrogen-mediated induction and repression of gene transcription, resulting in net agonism or antagonism of ER-mediated actions at gene loci and of cellular pathways of interest. In addition to differential modulation of chromatin binding, differences in cofactor associations for ER, PR and GR likely contribute to the divergent functions of these receptors in breast cancer. Among the NR3C receptors, MR activation differentially reprograms ER chromatin binding and, in contrast to ligands for PR, GR or AR, the MR ligand aldosterone does not inhibit estrogen-induced cell proliferation or potentiate the anti-proliferative effect of tamoxifen in ER+ MCF7 cells. PR, GR, AR and MR may be functionally relevant in ER+ breast cancer because higher expression of these NR3C receptors; or genes whose estrogen-regulated expression is altered by each of these receptors is significantly associated with better overall and relapse-free survival. In summary, this study highlights the diverse yet overlapping activities of NR3C receptors in reprogramming ER signaling.

ORGANISM(S): Homo sapiens

PROVIDER: GSE99626 | GEO | 2017/12/31

SECONDARY ACCESSION(S): PRJNA389107

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Major roadblocks to developing effective progesterone receptor (PR)-targeted therapies in breast cancer include the lack of highly-specific PR modulators, a poor understanding of the pro- or anti-tumorigenic networks for PR isoforms and ligands, and an incomplete understanding of the cross talk between PR and estrogen receptor (ER) signaling. Through genomic analyses of xenografts treated with various clinically-relevant ER and PR-targeting drugs, we describe how the activation or inhibition of PR dictates distinct ER and PR chromatin binding and differentially reprograms estrogen signaling, resulting in the segregation of transcriptomes into separate PR agonist and antagonist-mediated groups. These findings address an ongoing controversy regarding the clinical utility of PR agonists and antagonists, alone or in combination with tamoxifen, for breast cancer management. Genomic analyses of the two PR isoforms, PRA and PRB, indicate that these isoforms bind distinct genomic sites and interact with different sets of co-regulators to differentially modulate gene expression as well as pro- or anti-tumorigenic phenotypes. Of the two isoforms, PRA inhibited gene expression and ER chromatin binding significantly more than PRB. Of note, the two isoforms reprogrammed estrogen activity to be either pro or anti-tumorigenic. In concordance to the in-vitro observations, differential gene expression was observed in PRA and PRB-rich patient tumors and importantly, PRA-rich gene signatures had poorer survival outcomes. In support of antiprogestin responsiveness of PRA-rich tumors, gene signatures associated with PR antagonists, but not PR agonists, predicted better survival outcomes. This differential of better patient survival associated with PR antagonists versus PR agonists treatments was further reflected in the higher anti-tumor activity of combination therapies of tamoxifen with PR antagonists and modulators. Knowledge of various determinants of PR action and their interactions with estrogen signaling to differentially modulate breast cancer biology should serve as a guide to the development of biomarkers for patient selection and translation of PR-targeted therapies to the clinic.

Dataset Information

Combinatorial Reprogramming of Estrogen Signaling by the Nuclear Receptor Family 3C

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets