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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 :
- Biomedicine & Pharmacotherapy, Vol 121, Iss, Pp 109647-(2020)
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
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.
- Subjects :
- 0301 basic medicine
Microarray
Estrogen receptor
Breast Neoplasms
Kaplan-Meier Estimate
RM1-950
Biology
Expression profiling data
03 medical and health sciences
Breast cancer
0302 clinical medicine
Cell Line, Tumor
Extracellular exosome
Progesterone receptor
Biomarkers, Tumor
medicine
Humans
Gene Regulatory Networks
Protein Interaction Maps
RNA, Messenger
Gene
Pharmacology
Gene Expression Profiling
Estrogen Receptor alpha
GATA3
Computational Biology
General Medicine
Prognosis
medicine.disease
Gene Expression Regulation, Neoplastic
030104 developmental biology
030220 oncology & carcinogenesis
Cancer research
Female
Therapeutics. Pharmacology
Neoplasm Recurrence, Local
Receptors, Progesterone
Estrogen receptor alpha
Hub genes
Subjects
Details
- ISSN :
- 07533322
- Volume :
- 121
- Database :
- OpenAIRE
- Journal :
- Biomedicine & Pharmacotherapy
- Accession number :
- edsair.doi.dedup.....144201f8accca79c3742fcf3ec2b4a7b