基于GEO数据库对高风险胃肠道间质瘤的差异基因的生物信息学分析

Bioinformatics Analysis of Differential Genes in High-Risk Gastrointestinal Stromal Tu-mors Based on GEO Database

摘要: 目的：采用生物信息学的方法探讨影响胃肠道间质瘤风险分级的差异基因表达及其生物学功能富集。方法：检索并获取GEO数据库中关于胃肠道间质瘤恶性程度差异基因表达的数据，利用GER2O工具对差异基因进行筛选和分析，采用DAVID数据库进行GO、KEGG富集分析，使用STRING，Cytoscape软件行蛋白–蛋白互作(PPI)网络构建。结果：筛选出两个数据集：GSE31802和GSE47911，查找出其中共有的差异表达基因有42个，它们的生物学过程可能主要富集在cAMP分解代谢过程、信号转导、基因表达的正向调控和酪氨酸激酶信号通路这几个方面。细胞学组分主要定位于质膜以及内质网腔。分子功能富集于信号素受体活性、序列特异性双链DNA结合。KEGG信号通路的富集分析显示差异基因主要富集于轴突的指导、癌症的转录失调等。对蛋白质相互作用分析中有关联的基因进行排序，显示IL-6，PGR的节点分数最高。结论：通过对影响胃肠道间质瘤风险分级的差异基因的分析，本研究发现的关键差异基因有助于了解影响胃肠道间质瘤危险分级的潜在因子。

Abstract: Objective: To explore the differential gene expression and biological function enrichment affecting the risk classification of gastrointestinal stromal tumors by bioinformatics. Methods: The data of differential gene expression of malignant degree of gastrointestinal stromal tumors (GSE31802, GSE47911) in GEO database were retrieved and obtained. The differential genes were screened and analyzed by GER2O tool, GO and KEGG enrichment analysis were performed by DAVID database, and protein-protein interaction (PPI) network was constructed by STRING, Cytoscape software. Results: A total of 42 differentially expressed genes from the two data sets were screened, and their biologi-cal processes may be mainly concentrated in cAMP catabolism, signal transduction, positive regula-tion of gene expression and tyrosine kinase signal pathway; cellular components are mainly located in plasma membrane and endoplasmic reticulum lumen; molecular function is enriched in signal receptor activity and sequence-specific double-stranded DNA binding. The enrichment analysis of KEGG signal pathway showed that the differential genes were mainly enriched in the guidance of axons and transcriptional disorders in cancer. The sequencing of related genes in protein-protein interaction analysis showed that IL-6, PGR had the highest node score. Conclusion: Through the analysis of differential genes related to high-risk gastrointestinal stromal tumors, the key differen-tial genes found in this study are helpful to understand the potential factors affecting the grading of gastrointestinal stromal tumors.