小细胞肺癌差异表达基因的生物信息学分析

Bioinformatics analysis of differentially expressed genes in small cell lung cancer

目的:应用生物信息学方法挖掘小细胞肺癌(small cell lung cancer, SCLC)的相关基因,探讨其发病机制,为SCLC诊断和治疗提供靶点。方法:从GEO(Gene Expression Omnibus)数据库中下载基因芯片数据集GSE43346和GSE6044,利用在线分析工具GEO2R筛选SCLC的差异表达基因(differentially expressed genes, DEGs)。应用DAVID数据库进行GO和KEGG通路富集分析,利用STRING数据库和Cytoscape软件构建蛋白质相互作用网络和关键基因模块,筛选SCLC关键基因。运用UCSC和ONCOMINE数据库中的临床组织样本验证靶基因与SCLC的关系。结果:初筛出114个DEGs,富集分析发现差异基因在细胞分裂、细胞周期、有丝分裂、DNA复制等方面存在显著富集。共筛选出12个SCLC靶基因,经临床SCLC组织样本验证关键基因在SCLC组织中存在显著高表达。其中FBXO5、NCAPG、GINS2、GMNN、MCM6、ESPL1、MCM2、NDC80、BUB1B、CCNB2基因可能是SCLC分子发病机制的新靶点。结论:通过生物信息学筛选出10个与SCLC相关的新靶点,表明其可能是未来研究SCLC发病机制、临床诊断和治疗的重要靶基因。

Objective:To provide targets for the pathogenesis,diagnosis and treatment of small cell lung cancer(SCLC),we excavated the related genes of SCLC by bioinformatics analysis.Methods:We downloaded gene datasets GSE43346 and GSE6044 from the Gene Expression Omnibus(GEO)database to identify the differentially expressed genes(DEGs)by GEO2R analysis tools.Enrichment analysis of GO and KEGG pathways was performed by using the DAVID database.The protein interaction network and key gene modules were constructed using STRING database and Cytoscape software.Then the key genes of SCLC were screened by Cytoscape.The correlation between the hub genes and clinical SCLC tissue samples was confirmed using UCSC Cancer Genomics Browser and ONCOMINE database.Results:114 DEGs were preliminary screened.GO and KEGG analyses were mainly enriched in cell division,cell cycle,mitosis and DNA replication.Totally,12 target genes were selected,and the clinical SCLC tissue samples confirmed that the key genes were significantly highly expressed in SCLC tissues.FBXO5,NCAPG,GINS2,GMNN,MCM6,ESPL1,MCM2,NDC80,BUB1B and CCNB2 genes may be new targets for the molecular pathogenesis of SCLC.Conclusion:Ten new targets related to SCLC were identified by bioinformatics,suggesting that they may be important target genes for future studies on the pathogenesis,clinical diagnosis and treatment of SCLC.