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Updated: Apr 28, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
Meta-analysis of the differentially expressed breast cancer-related microRNA expression profiles
Abstract:
MicroRNAs (miRNAs), as non-coding RNA molecules, play an important role in regulating gene expression in cancer development. Meta-analysis was used to screen overlapping differentially expressed miRNAs (DEmiRNAs) in three studies. The miRanda was used to identify target genes related to overlapping DEmiRNAs. These Gene Ontology (GO) and Encyclopaedia of Genes and Genomes (KEGG) database were applied to further predict the function of these target genes. As a result, we obtained seven overlapping miRNAs and six significantly over-represented GO terms closely related to breast cancer. After KEGG pathways analysis, a total of seven key target genes were involved in the Wnt signalling pathway (p = 0.0002). Our findings from this study suggest that the altered levels of miRNAs might have great potential to serve as novel, non-invasive biomarkers for early detection of breast cancer.
Insights
Altered microRNA (miRNA) levels are linked to breast cancer development. These findings suggest specific miRNAs could serve as novel, non-invasive biomarkers for early breast cancer detection.
Area of Science:
- Molecular Biology
- Genetics
- Oncology
Background:
- MicroRNAs (miRNAs) are non-coding RNA molecules crucial for gene expression regulation in cancer.
- Dysregulation of miRNAs is implicated in the development and progression of various cancers, including breast cancer.
Purpose of the Study:
- To identify overlapping differentially expressed miRNAs (DEmiRNAs) associated with breast cancer using meta-analysis.
- To predict the functional roles of target genes regulated by these DEmiRNAs.
- To explore the potential of miRNAs as non-invasive biomarkers for early breast cancer detection.
Main Methods:
- Meta-analysis of three studies to identify overlapping DEmiRNAs.
- Utilized miRanda tool to predict target genes of overlapping DEmiRNAs.
- Employed Gene Ontology (GO) and KEGG pathway analysis to predict target gene functions.
Main Results:
- Identified seven overlapping DEmiRNAs significantly associated with breast cancer.
- Discovered six over-represented GO terms closely related to breast cancer.
- KEGG pathway analysis revealed seven key target genes involved in the Wnt signaling pathway (p = 0.0002).
Conclusions:
- Altered miRNA expression patterns are significantly associated with breast cancer.
- The identified miRNAs and their target genes, particularly within the Wnt signaling pathway, offer insights into breast cancer pathogenesis.
- These findings highlight the potential of miRNAs as novel, non-invasive biomarkers for early breast cancer detection.
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