Construction of a Potential Breast Cancer-Related miRNA-mRNA Regulatory Network
Joint Authors
Liu, Xinhong
Tan, Fang
Yi, Ruokun
Yang, Dingyi
Zhao, Xin
Chen, Feng
Li, Fang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-04
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Background.
Breast cancer is a malignant tumor that occurs in the epithelial tissue of the breast gland and has become the most common malignancy in women.
The regulation of the expression of related genes by microRNA (miRNA) plays an important role in breast cancer.
We constructed a comprehensive breast cancer-miRNA-gene interaction map.
Methods.
Three miRNA microarray datasets (GSE26659, GSE45666, and GSE58210) were obtained from the GEO database.
Then, the R software “LIMMA” package was used to identify differential expression analysis.
Potential transcription factors and target genes of screened differentially expressed miRNAs (DE-miRNAs) were predicted.
The BRCA GE-mRNA datasets (GSE109169 and GSE139038) were downloaded from the GEO database for identifying differentially expressed genes (DE-genes).
Next, GO annotation and KEGG pathway enrichment analysis were conducted.
A PPI network was then established, and hub genes were identified via Cytoscape software.
The expression and prognostic roles of hub genes were further evaluated.
Results.
We found 6 upregulated differentially expressed- (DE-) miRNAs and 18 downregulated DE-miRNAs by analyzing 3 Gene Expression Omnibus databases, and we predicted the upstream transcription factors and downstream target genes for these DE-miRNAs.
Then, we used the GEO database to perform differential analysis on breast cancer mRNA and obtained differentially expressed mRNA.
We found 10 hub genes of upregulated DE-miRNAs and 10 hub genes of downregulated DE-miRNAs through interaction analysis.
Conclusions.
In this study, we have performed an integrated bioinformatics analysis to construct a more comprehensive BRCA-miRNA-gene network and provide new targets and research directions for the treatment and prognosis of BRCA.
American Psychological Association (APA)
Liu, Xinhong& Chen, Feng& Tan, Fang& Li, Fang& Yi, Ruokun& Yang, Dingyi…[et al.]. 2020. Construction of a Potential Breast Cancer-Related miRNA-mRNA Regulatory Network. BioMed Research International،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1135557
Modern Language Association (MLA)
Liu, Xinhong…[et al.]. Construction of a Potential Breast Cancer-Related miRNA-mRNA Regulatory Network. BioMed Research International No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1135557
American Medical Association (AMA)
Liu, Xinhong& Chen, Feng& Tan, Fang& Li, Fang& Yi, Ruokun& Yang, Dingyi…[et al.]. Construction of a Potential Breast Cancer-Related miRNA-mRNA Regulatory Network. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1135557
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135557