Screening and identification of key biomarkers in bladder carcinoma: Evidence from bioinformatics analysis
| Autor: | Xuan Jing, Yina Liu, Meiqin Yan, Xiangrong Cui |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
differentially expressed genes Cancer Research Microarray analysis techniques Articles Computational biology Cell cycle Biology 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Oncology Gene interaction 030220 oncology & carcinogenesis Fever generation Gene expression bladder cancer microarray analysis protein-protein interaction network KEGG Signal transduction Gene |
| Zdroj: | Oncology Letters |
| ISSN: | 1792-1082 1792-1074 |
| Popis: | Bladder cancer (BC) is one of the most common urogenital malignancies. However, present studies of its multiple gene interaction and cellular pathways remain unable to accurately verify the genesis and the development of BC. The aim of the present study was to investigate the genetic signatures of BC and identify its potential molecular mechanisms. The gene expression profiles of GSE31189 were downloaded from the Gene Expression Omnibus database. The GSE31189 dataset contained 92 samples, including 52 BC and 40 non-cancerous urothelial cells. To further examine the biological functions of the identified differentially expressed genes (DEGs), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed, and a protein-protein interaction (PPI) network was mapped using Cytoscape software. In total, 976 DEGs were identified in BC, including 457 upregulated genes and 519 downregulated genes. GO and KEGG pathway enrichment analyses indicated that upregulated genes were significantly enriched in the cell cycle and the negative regulation of the apoptotic process, while the downregulated genes were mainly involved in cell proliferation, cell adhesion molecules and oxidative phosphorylation pathways (P |
| Databáze: | OpenAIRE |
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