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Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth
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Joint bioinformatics analysis of underlying potential functions of hsa-let-7b-5p and core genes in human glioma
Xiaonan Xi1,2, Yahui Chu1,2, Ning Liu2
1College of Pharmacy, Nankai University, Tianjin, 300350, People's Republic of China.
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.
Insights
This study identifies four potential diagnostic biomarkers for glioma and proposes hsa-let-7b-5p as a therapeutic target. These findings may improve glioma diagnosis and treatment strategies.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Glioma remains a significant cancer with limited effective treatments due to a lack of specific driver molecules.
- Accurate diagnosis and targeted treatment plans for brain glioma present ongoing challenges.
- Investigating microRNAs (miRNAs) and key genes is crucial for understanding glioma tumorigenesis and progression.
Purpose of the Study:
- To identify diagnostic biomarkers for glioma.
- To explore the role of miRNAs in glioma development and progression.
- To analyze miRNA and gene expression in glioma using The Cancer Genome Atlas (TCGA) database.
Main Methods:
- Differential gene and miRNA expression analysis using edgeR on TCGA data.
- Gene Ontology (GO) and KEGG pathway enrichment analyses via Cytoscape.
- Weighted gene co-expression network analysis (WGCNA) and functional validation of hsa-let-7b-5p using cell assays.
Main Results:
- Four candidate diagnostic marker genes (PLK1, CCNA2, CCNB2, AURKA) were identified through integrated bioinformatics analyses.
- High expression of PLK1, CCNA2, and AURKA correlated with poor overall survival in glioma patients.
- hsa-let-7b-5p was identified as a key miRNA regulating glioma development and was shown to inhibit glioma cell migration, invasion, and cell cycle progression.
Conclusions:
- The study proposes four potential biomarkers for glioma diagnosis.
- It offers insights into the pathogenesis of glioma.
- hsa-let-7b-5p is presented as a promising therapeutic target for glioma.
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