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Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
- Source :
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Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie [Biomed Pharmacother] 2020 Jan; Vol. 121, pp. 109647. Date of Electronic Publication: 2019 Nov 13. - Publication Year :
- 2020
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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.<br />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.<br />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.<br />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.<br /> (Copyright © 2019 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.)
- Subjects :
- Breast Neoplasms pathology
Cell Line, Tumor
Computational Biology methods
Female
Gene Expression Profiling methods
Gene Expression Regulation, Neoplastic genetics
Gene Regulatory Networks genetics
Humans
Kaplan-Meier Estimate
Neoplasm Recurrence, Local genetics
Neoplasm Recurrence, Local pathology
Prognosis
Protein Interaction Maps genetics
RNA, Messenger genetics
Biomarkers, Tumor genetics
Breast Neoplasms genetics
Estrogen Receptor alpha genetics
Receptors, Progesterone genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1950-6007
- Volume :
- 121
- Database :
- MEDLINE
- Journal :
- Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
- Publication Type :
- Academic Journal
- Accession number :
- 31733575
- Full Text :
- https://doi.org/10.1016/j.biopha.2019.109647