IDENTIFICATION OF KEY GENES AND PATHWAYS IN GBM THROUGH BIOINFORMATICS ANALYSIS

被引：0

作者：

Wang, Ziheng ^{[1
,2
]}

机构：

[1] Nantong Univ, Dept Med, Xinling Coll, Nantong, Jiangsu, Peoples R China

[2] Wuxi Hengrui Biotechnol Co Ltd, Wuxi, Jiangsu, Peoples R China

来源：

FRESENIUS ENVIRONMENTAL BULLETIN | 2019年 / 28卷 / 07期

关键词：

Glioblastoma; bioinformatics; GEO; malignant; molecular; CELL-CYCLE; EXPRESSION;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Glioblastoma (GBM) is one of the most aggressive malignant glioma in central nervous system. The malignant transformation of GBM results from DNA mutations and alterations in gene expression levels. In this work, we used a bioinformatics approach to investigate the molecular mechanisms of GBM. The gene expression profile of normal genomes was used as a control. The analysis of gene expression revealed important alterations in genes involved in biological processes and metabolic pathways. We also identified some small molecules capable of reversing the altered gene expression in GBM; these molecules could provide a basis for future therapies for the treatment of this disease

引用

页码：5248 / 5252

页数：5

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