利用数据库预测基因与胶质母细胞瘤的关联

doi:10.6040/j.issn.1671-7554.0.2019.1449

摘要/Abstract

摘要： 目的从预后相关角度探索未被研究的胶质母细胞瘤(GBM)关键基因,并探索其作为GBM调节基因的潜力。方法基于TCGA数据库,使用GEPIA筛选预后相关基因及其表达相关基因,分析基因在GBM患者与正常人脑组织的表达模式,使用LinkedOmics分析基因与GBM患者的临床参数相关性。结果 SAMD13、FAM20C、FUCA1、RARRES1的表达与GBM患者无病生存期(DFS)和总生存期(OS)相关,同时它们在GBM患者与正常人脑组织中存在差异表达,针对其在GBM患者组织表达相关基因的京都基因与基因组百科全书(KEGG)和基因本体论(GO)分析提示它们密切参与GBM的肿瘤形成与进展过程。结论 SAMD13、FAM20C、FUCA1、RARRES1具有成为GBM调控基因与诊断标志的潜力,它们密切参与GBM相关调控机制。

关键词: 胶质母细胞瘤, 调控基因, 诊断标志, 生物信息学分析

Abstract: Objective To explore the key genes related to prognosis of glioblastoma(GBM)and to investigate their potential as regulatory genes of GBM. Methods Based on the cancer genome atlas(TCGA)database, GBM prognosis related genes and their expression-related genes were screened with GEPIA. The gene expression patterns in GBM patients and healthy controls were analyzed. The correlation between clinical parameters and target genes in GBM patients was analyzed with LinkedOmics. Results The expressions of SAMD13, FAM20C, FUCA1 and RARRES1 were related to both disease-free survival(DFS)and overall survival(OS)in GBM patients. The four genes expressed differently in GBM patients and healthy controls. Kyoto encyclopedia of genes and genomes( KEGG )and gene ontology(GO)analyses showed these genes were closely involved in the oncogenesis and progression of GBM. Conclusion SAMD13, FAM20C, FUCA1 and RARRES1 have the potential to serve as regulatory genes and diagnostic markers of GBM, and they are closely involved in GBM-related regulatory mechanism.

Key words: Glioblastoma, Regulatory genes, Diagnostic markers, Bioinformatics analysis

中图分类号:

R739.4

田宝睿,张永超,韩晓阳,田颖颖,王传玺. 利用数据库预测基因与胶质母细胞瘤的关联[J]. 山东大学学报 (医学版), 2020, 58(6): 8-13.

TIAN Baorui, ZHANG Yongchao, HAN Xiaoyang, TIAN Yingying, WANG Chuanxi. Prediction of the association between genes and glioblastoma based on databases[J]. Journal of Shandong University (Health Sciences), 2020, 58(6): 8-13.

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