摘要
EVI1基因高表达的AML患者对化疗药物有耐药性,总体生存率低。寻找针对EVI1高表达AML的潜在治疗新靶点,对于提高这类病人存活率具有重要意义。本研究从GEO数据库获取EVI1高表达和低表达AML的表达谱,利用R软件Limma包进行差异表达分析,共筛选出713个差异基因。用STRING数据库和Cytoscape软件对差异基因进行蛋白互作网络构建并找出7个Hub基因。用Oncomine数据库对Hub基因进行临床生存分析,评估基因的预后价值。本研究发现了一个与AML预后相关的新基因GNGT2,它可能成为EVI1高表达AML治疗药物的重要靶点。
AML patients with high EVI1 expression(EVI1high)are resistant to chemotherapeutic drugs,which result in low overall survival rate.Therefore,identifying novel potential therapeutic targets in EVI1high AML is particular significant for improving the survival rate of these patients.In this study,datasets of EVI1high and EVI1lowAML were downloaded from the GEO database.Gene expression profiling were analyzed to identify differentially expressed genes(DEGs)by R software limma package.Protein-protein interaction network was constructed and 7 Hub genes were found using STRING database and Cytoscape software.The relationship of the patient's overall survival rate with expression of these Hub genes was obtained from Oncomine database.In conclusion,we found a novel gene called GNGT2 which is possible to be an important therapeutic target for EVI1high AML.
作者
刘云峰
王林
杨碧珊
粟尤敏
李趣欢
Liu Yunfeng;Wang Lin;Yang Bishan;Su Youmin;Li Quhuan(School of Biosciences and Biological Engineering,South China University of Technology,Guangzhou,510006)
出处
《基因组学与应用生物学》
CAS
CSCD
北大核心
2019年第10期4763-4768,共6页
Genomics and Applied Biology
基金
国家自然科学基金(31200705)
华南理工大学中央高校基本科研业务费(2017MS098,2017MS106)共同资助
