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Role of estrogen receptor in breast cancer cell gene expression

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The aim of the present study was to establish the underlying regulatory mechanism of estrogen receptor (ER) in breast cancer cell gene expression. A gene expression profile (accession no. GSE11324) was downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) from an estrogen treatment group and a control group were identified. Chromatin immunoprecipitation with highthroughput sequencing data (series GSE25710) was obtained from the GEO for the ER binding sites, and binding and expression target analysis was performed. A total of 3,122 DEGs were obtained and ER was demonstrated to exhibit inhibition and activation roles during the regulation of its target gene expression. Motif analysis revealed that the upregulated target genes that demonstrated interactions with ER were meis homeobox 1 (MEIS1) and forkhead box P3 (FOXP3). The downregulated target genes, which demonstrated interactions with ER, were thyroid hormone receptor, β (THRB) and grainyheadlike 1 (GRHL1). Thus, it was observed that ER stimulated gene expression by interacting with MEIS1 and FOXP3, and ER inhibited gene expression by interacting with THRB and GRHL1. However, additional experiments are required to provide further confirmation of these findings.

Document Type: Research Article

Affiliations: 1: Department of Medical Oncology (Breast), Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China 2: Department of Pathology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China 3: Department of Breast Surgery, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China

Publication date: 01 May 2016

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  • Molecular Medicine Reports is a monthly, peer-reviewed journal available in print and online, that includes studies devoted to molecular medicine, underscoring aspects including pharmacology, pathology, genetics, neurosciences, infectious diseases, molecular cardiology and molecular surgery. In vitro and in vivo studies of experimental model systems pertaining to the mechanisms of a variety of diseases offer researchers the necessary tools and knowledge with which to aid the diagnosis and treatment of human diseases.
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