Joint bioinformatics analysis of underlying potential functions of hsa-let-7b-5p and core genes in human glioma.
BACKGROUND
Glioma accounts for a large proportion of cancer, and an effective treatment for this disease is still lacking because of the absence of specific driver molecules. Current challenges in the treatment of glioma are the accurate and timely diagnosis of brain glioma and targeted treatment plans. To investigate the diagnostic biomarkers and prospective role of miRNAs in the tumorigenesis and progression of glioma, we analyzed the expression of miRNAs and key genes in glioma based on The Cancer Genome Atlas database.


METHODS
Of the 701 cases that were downloaded, five were normal and 696 were glioma. Then, 1626 differentially expressed genes were identified, and 173 aberrantly expressed miRNAs were calculated by edgeR. GO and KEGG pathway enrichment analyses were performed using Cytoscape software. A coexpression network was built by weighted correlation network analysis (WGCNA). A cell scratch test and transwell, cell apoptosis and cell cycle assays were performed to validate the function of hsa-let-7b-5p.


RESULTS
Based on crosstalk genes in the KEGG, PPI network, and WGCNA analyses, PLK1, CCNA2, cyclin B2 (CCNB2), and AURKA were screened as candidate diagnostic marker genes. The survival analysis revealed that high mRNA expression of PLK1, CCNA2, and AURKA was significantly associated with poor overall survival. Furthermore, hsa-let-7b-5p was identified as a core miRNA in the regulation of candidate genes involved in glioma development. We confirmed that hsa-let-7b-5p could inhibit the migration, invasion, and cell cycle of glioma cells.


CONCLUSIONS
This study provides four potential biomarkers for the diagnosis of glioma, offers a potential explanation of its pathogenesis, and proposes hsa-let-7b-5p as a therapeutic target.
['Xi|Xiaonan|X|', 'Chu|Yahui|Y|', 'Liu|Ning|N|', 'Wang|Qianqian|Q|', 'Yin|Zheng|Z|', 'Lu|Yaxin|Y|', 'Chen|Yue|Y|']
D045744:Cell Line, Tumor D002465:Cell Movement D019295:Computational Biology D030541:Databases, Genetic D015972:Gene Expression Regulation, Neoplastic D063990:Gene Ontology D053263:Gene Regulatory Networks D005910:Glioma D006801:Humans D035683:MicroRNAs D009361:Neoplasm Invasiveness D060066:Protein Interaction Maps D015203:Reproducibility of Results D015854:Up-Regulation
Bioinformatics analysis hsa-let-7b-5p Glioma Biomarker MicroRNA