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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on
Chun-Yao Li1, Dan-Dan Xiong1, Chun-Qin Huang1
1Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Abstract:
BACKGROUND MiR-101-3p can promote apoptosis and inhibit proliferation, invasion, and metastasis in breast cancer (BC) cells. However, its mechanisms in BC are not fully understood. Therefore, a comprehensive analysis of the target genes, pathways, and networks of miR-101-3p in BC is necessary. MATERIAL AND METHODS The miR-101 profiles for 781 patients with BC from The Cancer Genome Atlas (TCGA) were analyzed. Gene expression profiling of GSE31397 with miR-101-3p transfected MCF-7 cells and scramble control cells was downloaded from Gene Expression Omnibus (GEO), and the differentially expressed genes (DEGs) were identified. The potential genes targeted by miR-101-3p were also predicted. Gene Ontology (GO) and pathway and network analyses were constructed for the DEGs and predicted genes. RESULTS In the TCGA data, a low level of miR-101-2 expression might represent a diagnostic (AUC: 0.63) marker, and the miR-101-1 was a prognostic (HR=1.79) marker. MiR-101-1 was linked to the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), and miR-101-2 was associated with the tumor (T), lymph node (N), and metastasis (M) stages of BC. Moreover, 427 genes were selected from the 921 DEGs in GEO and the 7924 potential target genes from the prediction databases. These genes were related to transcription, metabolism, biosynthesis, and proliferation. The results were also significantly enriched in the VEGF, mTOR, focal adhesion, Wnt, and chemokine signaling pathways. CONCLUSIONS MiR-101-1 and miR-101-2 may be prospective biomarkers for the prognosis and diagnosis of BC, respectively, and are associated with diverse clinical parameters. The target genes of miR-101-3p regulate the development and progression of BC. These results provide insight into the pathogenic mechanism and potential therapies for BC.
Insights
MicroRNA-101 (miR-101) shows potential as a biomarker for breast cancer (BC) diagnosis and prognosis. Its target genes influence BC development and progression, offering insights into pathogenic mechanisms and potential therapies.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- MiR-101-3p plays a role in regulating breast cancer (BC) cell apoptosis, proliferation, invasion, and metastasis.
- The precise molecular mechanisms of miR-101-3p in BC require further comprehensive investigation.
Purpose of the Study:
- To comprehensively analyze the target genes, pathways, and networks of miR-101-3p in breast cancer.
- To evaluate the diagnostic and prognostic potential of miR-101-1 and miR-101-2 in BC.
Main Methods:
- Analysis of miR-101 expression profiles from 781 BC patients in The Cancer Genome Atlas (TCGA).
- Identification of differentially expressed genes (DEGs) in miR-101-3p transfected cells using Gene Expression Omnibus (GEO) data.
- Prediction of miR-101-3p target genes and construction of Gene Ontology (GO), pathway, and network analyses.
Main Results:
- Low miR-101-2 expression indicated diagnostic potential (AUC: 0.63), while miR-101-1 served as a prognostic marker (HR=1.79).
- miR-101-1 correlated with Estrogen Receptor (ER), Progesterone Receptor (PR), and HER2 status; miR-101-2 associated with tumor stage (TNM).
- Identified 427 key genes involved in transcription, metabolism, and proliferation, enriched in VEGF, mTOR, focal adhesion, Wnt, and chemokine signaling pathways.
Conclusions:
- miR-101-1 and miR-101-2 may serve as biomarkers for BC prognosis and diagnosis, respectively.
- Target genes regulated by miR-101-3p are crucial in BC development and progression.
- Findings provide insights into BC pathogenesis and potential therapeutic strategies.

