The Identification of Key Genes and Pathways in Glioma by Bioinformatics Analysis

• Published in: Journal of immunology research 2017-01, Vol.2017 (2017), p.1-9
• Main Authors: Xu, Haixiong, Li, Enmin, Xu, Ke, Jin, Tao, Wu, Bingli, Du, Zepeng, Xu, Zhennan, Liu, Ming-Fa, Xu, Liyan
• Format: Article
• Language: English
• Subjects: Aminohydrolases - genetics; Bioinformatics; Brain cancer; Brain tumors; Calcium; Calcium - metabolism; Calcium signalling; Cell adhesion & migration; Cell interactions; Central nervous system; Clinical medicine; Collecting duct; Computational Biology; Cyclin-Dependent Kinases - genetics; Encyclopedias; Endocytosis; Endocytosis - genetics; Enrichment; Extracellular Signal-Regulated MAP Kinases - metabolism; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Gene Ontology; Gene Regulatory Networks - genetics; Genomes; Glioma; Glioma - diagnosis; Glioma - genetics; GTP-Binding Protein alpha Subunits, Gq-G11 - genetics; Histone Deacetylases - genetics; Hospitals; Humans; Immunology; MAP kinase; Medical prognosis; Methylenetetrahydrofolate Dehydrogenase (NADP) - genetics; Molecular biology; Multifunctional Enzymes - genetics; Ontology; Oxytocin; Oxytocin - metabolism; Pathology; Prognosis; Protein interaction; Protein Interaction Maps; Proteins; Regression analysis; Rheumatoid arthritis; Secretion; Signal Transduction; Software; Survival analysis
• ISSN: 2314-8861; 2314-7156
• DOI: 10.1155/2017/1278081

Glioma is the most common malignant tumor in the central nervous system. This study aims to explore the potential mechanism and identify gene signatures of glioma. The glioma gene expression profile GSE4290 was analyzed for differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were applied for the enriched pathways. A protein-protein interaction (PPI) network was constructed to find the hub genes. Survival analysis was conducted to screen and validate critical genes. In this study, 775 downregulated DEGs were identified. GO analysis demonstrated that the DEGs were enriched in cellular protein modification, regulation of cell communication, and regulation of signaling. KEGG analysis indicated that the DEGs were enriched in the MAPK signaling pathway, endocytosis, oxytocin signaling, and calcium signaling. PPI network and module analysis found 12 hub genes, which were enriched in synaptic vesicle cycling rheumatoid arthritis and collecting duct acid secretion. The four key genes CDK17, GNA13, PHF21A, and MTHFD2 were identified in both generation (GSE4412) and validation (GSE4271) dataset, respectively. Regression analysis showed that CDK13, PHF21A, and MTHFD2 were independent predictors. The results suggested that CDK17, GNA13, PHF21A, and MTHFD2 might play important roles and potentially be valuable in the prognosis and treatment of glioma.