Jun-Rong Wu1, Yang Zhao2, Xiao-Ping Zhou3, Xue Qin4. 1. Department of Clinical Laboratory, The Affiliated Tumor Hospital of Guangxi Medical University, No. 71 Embankment Road, Nanning, 530021, Guangxi, China. 2. Department of Radiology, The Affiliated Tumor Hospital of Guangxi Medical University, No. 71 Embankment Road, Nanning, 530021, Guangxi, China. 3. Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi University of Chinese Medicine, No. 89-9 Dongge Road, Nanning, 530023, Guangxi, China. 4. Department of Clinical Laboratory, The Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China. Electronic address: qinxue919@126.com.
Abstract
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 ER-positive BC, and overexpression of estrogen receptor 1 (ESR1) mRNA was correlated with worse relapse-free survival (RFS). In contrast, overexpressed mRNA of progesterone receptor (PGR) was associated with longer RFS in patients with ER-positive BC. The expression of ESR1 was associated with GATA3, whereas that of PGR was correlated with ABLIM3. Both ESR1 and PGR were highly expressed in BC cell lines. CONCLUSIONS: The results suggest that mRNA expression levels of ESR1 and PGR can be considered distinct biomarkers and essential prognostic factors for ER-positive BC.
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 BCpatients. 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 ER-positive BC, and overexpression of estrogen receptor 1 (ESR1) mRNA was correlated with worse relapse-free survival (RFS). In contrast, overexpressed mRNA of progesterone receptor (PGR) was associated with longer RFS in patients with ER-positive BC. The expression of ESR1 was associated with GATA3, whereas that of PGR was correlated with ABLIM3. Both ESR1 and PGR were highly expressed in BC cell lines. CONCLUSIONS: The results suggest that mRNA expression levels of ESR1 and PGR can be considered distinct biomarkers and essential prognostic factors for ER-positive BC.