基于生物信息学分析筛选宫颈癌进展中的关键基因

Identification of key genes in cervical cancer progression by integrated bioinformatics analysis

目的:通过生物信息学分析的方法,筛选宫颈癌进展中的关键基因,寻找潜在的分子标志物和治疗靶点。方法:在GEO(Gene Expression Omnibus)数据库中检索宫颈癌进展相关的mRNA和miRNA基因芯片数据,借助GEO2R分析差异表达基因(DEG)和差异表达miRNA(DEM),进行富集分析以及构建蛋白质-蛋白质相互作用(PPI)网络和miRNA-靶基因调控网络。结果:共筛选出250个DEG和166个DEM,并构建出由123个节点(node)和283项互相作用(edge)构成的PPI网络以及由66个节点和137个相互作用构成的miRNA-靶基因调控网络。经分析,ATAD2、SMC4和POLQ基因不仅是筛选出的表达上调的DEG,而且是PPI网络中枢纽蛋白的编码基因,并在miRNA-靶基因调控网络中同时受DEM—miR-20A、miR-20B、miR-106B和miR-17-5P的调控。结论:ATAD2、SMC4和POLQ基因可能在宫颈癌进展过程中发挥着重要作用。

Objective:To identify the key genes in cervical cancer progression by integrated bioinformatics analysis to search for potential biomarkers and therapeutic targets.Methods:The mRNA and miRNA microarray datasets related to the progression of cervical cancer were searched on the GEO(the Gene Expression Omnibus)database and differentially expressed gene(DEG)and differentially expressedmiRNA(DEM)were analyzed by GEO2R.Then,the functional enrichment analyses,protein-protein interaction(PPI)network and miRNA-target regulatory network construction were conducted.Results:Totally,250 DEGs and 166 DEMs in the progression of cervical cancer were screened out,and a PPI network composed of 123 nodes and 283 edges and a miRNA-target regulatory network composed of 66 nodes and 137 edges were constructed.Based on a series of analyses,the genes ATAD2,SMC4 and POLQ were not only identified as the overexpressed DEGs,but also the coding genes of hub proteins in the PPI network and regulated by the DEMs,miR-20A,miR-20B,miR-106B and miR-17-5P in the miRNA-target gene regulatory network.Conclusion:ATAD2,SMC4 and POLQ genes may play important roles in the progression of cervical cancer.