基于加权基因共表达网络分析挖掘子宫内膜癌发生发展相关枢纽基因

    Analysis of the hub genes promoting development of endometrial cancer using weighted gene co-expression network

    • 摘要: 目的:从基因网络层面挖掘与子宫内膜癌(EC)发生发展过程相关的关键模块及枢纽基因。方法:基于癌症基因组图谱计划(TCGA)中的EC的标本数据,从表达水平和功能水平分析EC与正常组织的差异表达基因(DEGs)。利用基因本体(GO)分析进行DEGs的功能富集。使用加权基因共表达网络分析(WGCNA)识别出DEGs中与EC病人临床特征相关的模块,进一步挖掘出与EC发生发展相关性最高的枢纽基因。结果:WGCNA鉴定出8个与EC病人临床特征相关的基因模块,包括与癌症发病相关的黄色和蓝色模块。通过对黄色和蓝色两个枢纽模块的分析和验证,发现了以下8个枢纽基因基因:TTK,IQGAP3,CCNE1,CLEC1A,TSHZ3,TBC1D2B,PEAR1和DIPK2B。结论:WGCNA 可以筛选出与EC相关且具有生物学意义的关键模块及枢纽基因,为EC的治疗提供新靶点。

       

      Abstract: Objective: To analzye the hub genes promoting development of endometrial cancer(EC) using weighted gene co-expression network. Methods: Based on the data of The Cancer Genome Atlas(TCGA),the differentially expression genes(DEGs) between EC and normal tissues were analyzed from the expression level and function level.The functional enrichment of DEGs was performed by gene ontology(GO) analysis.Weighted gene co-expression network analysis(WGCNA) was used to identify the modules related to the clinical characteristics of EC patients in DEGs,and further explore the key genes with the highest correlation with the development of EC. Results: WGCNA identified eight gene modules that were associated with clinical characteristics of EC patients,which included the yellow and blue modules that were associated with cancer onset.Through the analysis and verification of the two yellow and blue hub modules,the TTK,IQGAP3,CCNE1,CLEC1A,TSHZ3,TBC1D2B,PEAR1 and DIPK2B hub genes were found. Conclusions: WGCNA can screen out the biologically significant key modules and hub genes related to EC,which can provide a new targets for the treatment of EC.

       

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