Identification of miRNAs and differentially expressed genes in early phase non-small cell lung cancer
作者： WEN TIAN , JIE LIU , BAOJING PEI , XIAOBO WANG , YU GUO
DOI: 10.3892/OR.2016.4561
关键词: Regulation of gene expression 、 Computational biology 、 Microarray analysis techniques 、 Biology 、 KEGG 、 Gene expression profiling 、 Bioinformatics 、 Gene 、 Carcinogenesis 、 Alveolar lamellar body 、 microRNA
摘要: To explore the potential therapeutic targets of early‑stage non-small cell lung cancer (NSCLC), gene microarray analysis was conducted. The data NSCLC in stage IA, IB, IIA, and IIB (GSE50081), were downloaded from Gene Expression Omnibus (GEO) database. differentially expressed genes (DEGs) IB vs. IIA screened out via R. ToppGene Suite used to get enriched Ontology (GO) terms Kyoto Encyclopedia Genes Genomes (KEGG) pathways DEGs. GeneCoDis3 database Cytoscape software construct transcriptional regulatory network. In total, 25, 17 14 DEGs identified NSCLC, respectively. Some GO (e.g., extracellular space, alveolar lamellar body, bioactivation cytochrome P450 pathway) found significantly S100P, ALOX15B, CCL11, NLRP2, SERPINA3, FoxO4 hsa-miR-491 may play important roles development early-stage NSCLC. Thus, by bioinformatics key biological processes involving could be established, providing more references for targets.
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