非小细胞肺癌差异基因的筛选及预后分析

目的利用生物信息学方法分析非小细胞肺癌(NSCLC)基因表达谱芯片,筛选差异基因,分析其与预后的关系。方法从GEO数据库下载芯片数据(GSE19804、GSE27262、GSE18842),利用GEO2R软件筛选差异基因,通过基因本体(GO)和京都基因与基因组百科全书(KEGG)进行差异基因的功能及通路富集分析,用STRING数据库构建蛋白-蛋白相互作用网络,Cytoscape筛选出核心基因。Kaplan-Meier plotter数据库进行预后分析,采用实时荧光定量PCR(QPCR)检测目的基因在NSCLC组织中的表达。结果共筛选出401个差异表达基因,GO分析结果表明差异基因主要参与血管生成、细胞粘附、调节细胞增殖等生物学过程。通过Cytoscape软件筛选出29个核心基因。预后分析显示ASPM低表达患者的总生存期较高表达患者明显延长。QPCR显示ASPM在NSCLC组织中高表达,差异有统计学意义。结论ASPM在NSCLC组织中高表达,与患者的预后相关,可能是NSCLC潜在的治疗靶点。

Screening and prognostic analysis of differential genes in non-small cell lung cancer

Objective To analyze the gene expression spectrum chip of non-small cell lung cancer(NSCLC)and to screen different genes by bioinformatics methods,in order to analyze its relationship with prognosis.Methods Chip data(GSE19804,GSE27262,GSE18842)were downloaded from the GEO database to screen different genes using GEO2R software,and functional and pathway enrichment analysis of different genes were performed through the Gene Ontology(GO)and kyoto Encyclopedia of Genes and Genomes(KEGG).It used the STRING database to build a protein-protein interaction network and Cytoscape to screen out the core genes.Kaplan-Meier plotter database was used to analyze prognosis,and real-time fluorescence quantitative PCR(QPCR)was used to detect the expression of the target gene in NSCLC tissue.Results A total of 401 differential expression genes were screened,and GO analysis showed that differential genes were mainly involved in biological processes such as angiogenesis,cell adhesion,and regulation of cell proliferation.29 core genes were screened through Cytoscape software.Prognostic analysis showed that patients with low expression of ASPM had significantly longer overall survival with higher expression.QPCR showed that ASPM was highly expressive in NSCLC organization,and the difference was statistically significant.Conclusion ASPM is highly expressed in NSCLC tissue,which is associated with the prognosis of the patient,and may be a potential therapeutic target for NSCLC.