Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis

作者：Junrong Wu, Yang Zhao, Xiaoping Zhou, Xue Qin · 发表于：Biomedicine & Pharmacotherapy · 年份：2019 · DOI：10.1016/j.biopha.2019.109647 · 被引用次数：40 · 研究领域：Breast Cancer Treatment Studies、Estrogen and related hormone effects、Ferroptosis and cancer prognosis

PURPOSE: Few prognostic indicators involving differentially expressed genes (DEGs) between estrogen receptor (ER)-positive and ER-negative breast cancer (BC) have been reported. We aimed to screen important DEGs related to ER status and explore potential prognostic factors for patients with ER-positive BC. MATERIALS AND METHODS: Two microarray datasets (GSE22093 and GSE23988) downloaded from the Gene Expression Omnibus database were analyzed to identify DEGs between ER-positive and ER-negative BC tissue. Functional enrichment analysis of DEGs was performed using the Database for Annotation, Visualization, and Integrated Discovery server. Protein-protein interactions of the DEGs were analyzed using the Search Tool for the Retrieval of Interacting Genes. Subsequently, we studied the expression of hub genes in different histological types of BC using the Oncomine database. The online Kaplan-Meier (K-M) plotter survival analysis tool was utilized to evaluate the prognostic value of the expression of hub genes in ER-positive BC patients. Based on the results of K-M plotter analysis, we investigated the expression profiles of significant hub genes in an array of cancer cell lines using the Cancer Cell Line Encyclopedia database. RESULTS: A total of 194 DEGs were identified, comprising 141 upregulated and 53 downregulated genes. GO analysis revealed that the DEGs were mainly enriched in the extracellular exosome of the cellular component category. Ten hub genes were upregulated in E...