舌鳞状细胞癌关键基因的筛选及其潜在治疗药物的预测

Screening the Key Genes and Predicting their Potential Therapeutic Drugs in Tongue Squamous Cell Carcinoma.

目的通过生物信息学方法筛选舌鳞状细胞癌的关键基因,并预测其潜在的治疗药物。方法从GEO数据库中下载GSE34105和GSE13601数据集,并利用limma包筛选DEGs。DAVID数据库对DEGs进行GO及KEGG富集分析。STRING数据库构建PPI网络,并在Cytoscape中进行可视化。“CytoHubba”筛选Hub基因,并利用TCGA数据库、HPA数据库及RT-qPCR进行验证。最后,在Cellminer数据库中筛选Hub基因潜在的治疗药物。结果共筛选出192个DEGs,其中上调基因84个,下调基因108个。GO富集分析显示,DEGs主要涉免疫反应、细胞外基质分解等生物学过程;KEGG富集分析显示,DEGs主要富集在EMC-受体相互作用信号通路。筛选出IFIT3、OAS2作为Hub基因。预测出布加替尼、艾沙佐米柠檬酸盐及硼替佐米等19种可能靶向作用于舌鳞状细胞癌的药物。结论通过生物信息学方法筛选出两个Hub基因,并预测其潜在的治疗药物,为研究舌鳞状细胞癌的分子机制及开发治疗药物提供理论基础。

Objective Bioinformatics methods were used to screen key genes in tongue squamous cell carcinoma,and to predict their potential therapeutic drugs.Methods GSE34105 and GSE13601 datasets were downloaded from GEO database and the DEGs was screened using limma package.The GO and KEGG enrichment analysis of DEGs were performed by DAVID database.Used the STRING database to construct PPI network and visualized in Cytoscape.The Hub genes were screened by cytohubba and verified by TCGA databases,HPA databases and RT-qPCR.Finally,the potential therapeutic drugs of Hub genes were screened by Cellminer database.Results A total of 192 DEGs were screened,including 84 up-regulated genes and 108down-regulated genes.GO enrichment analysis results showed that DEGs were mainly involved in biological processes such as immune response and extracellular matrix disassembly.KEGG enrichment analysis results showed that DEGs were mainly enriched in EMC-receptor interaction signal pathway.IFIT3 and OAS2 were screened as Hub genes.A total of 19drugs that may target tongue squamous cell carcinoma were found,such as Brigatinib,Ixazomib citrate and Bortezomib.Conclusion Two Hub genes were screened by bioinformatics methods and their potential therapeutic drugs were predicted,which provided a theoretical basis for studying the molecular mechanisms of tongue squamous cell carcinoma,and developing therapeutic drugs.