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基于TCGA的子宫内膜癌基因表达的差异性研究
引用本文:郝琦蓉1,刘二袅1,武红琴1,刘晓阳2,刘小春3. 基于TCGA的子宫内膜癌基因表达的差异性研究[J]. 现代肿瘤医学, 2021, 0(15): 2662-2669. DOI: DOI:10.3969/j.issn.1672-4992.2021.15.020
作者姓名:郝琦蓉1  刘二袅1  武红琴1  刘晓阳2  刘小春3
作者单位:1.山西医科大学第二医院妇产科,山西 太原 030001;2.山西医科大学,山西 太原 030001;3.山西白求恩医院(山西医学科学院)妇产科,山西 太原 030001
基金项目:National Natural Science Foundation of China(No.81971365);国家自然科学基金面上项目(编号:81971365)
摘    要:目的:通过587例TCGA 子宫内膜癌(EC)转录组数据进行生物信息学分析,结合55例临床病理样本,寻找EC相关的基因,便于进一步研究。方法:对TCGA中587例EC的高通量测序数据集进行综合生物信息学分析,以确定EC发生发展的候选基因。采用edgeR和DESeq筛选差异基因,随后进行GO分析、KEGG通路分析,构建PPI蛋白质互作网络,利用生存分析,筛选Hub基因。最后使用55例临床病理样本进行验证。结果:筛选出1 617个差异基因,这些基因主要涉及有丝分裂、细胞分裂、细胞黏附、血管生成,信号通路主要集中在细胞周期、钙信号通路、cGMP-PKG信号通路、癌症通路、cAMP信号通路、Rap1信号通路、Ras信号通路、p53等,生存分析显示BUB1、BUB1B、CCNA2、CDCA8与子宫内膜癌患者预后相关(P均<0.05),临床样本验证这4个基因在子宫内膜癌和对照组之间存在统计学差异(P均<0.05)。结论:筛选出4个生存相关的Hub基因,分别为BUB1、BUB1B、CCNA2、CDCA8可能与EC发生发展相关,可为之后的临床和基础研究提供依据。

关 键 词:子宫内膜癌  TCGA数据库  生物信息学分析  差异表达基因  生物学标志物

Study on the difference of gene expression in endometrial cancer based on TCGA database
HAO Qirong,LIU Erniao,WU Hongqin,LIU Xiaoyang,LIU Xiaochun. Study on the difference of gene expression in endometrial cancer based on TCGA database[J]. Journal of Modern Oncology, 2021, 0(15): 2662-2669. DOI: DOI:10.3969/j.issn.1672-4992.2021.15.020
Authors:HAO Qirong  LIU Erniao  WU Hongqin  LIU Xiaoyang  LIU Xiaochun
Affiliation:1.Department of Obstetrics and Gynecology,the Second Hospital of Shanxi Medical University,Shanxi Taiyuan 030001,China;2.Shanxi Medical University,Shanxi Taiyuan 030001,China;3.Department of Obstetrics and Gynecology,Shanxi Bethune Hospital(Shanxi Academy of Medical Sciences),Shanxi Taiyuan 030001,China.
Abstract:Objective:Bioinformatics analysis was performed on 587 TCGA endometrial cancer (EC) transcriptome data to find EC-related genes for further study.Methods:TCGA 587 EC clinical data were analyzed by comprehensive bioinformatics to identify candidate genes for EC development.The differential gene was screened by edgeR and DESeq,followed by GO analysis and KEGG pathway analysis to construct a PPI protein interaction network,and the survival gene was used to screen the Hub gene.Finally,55 clinical pathological samples were used for verification.Results:1 617 differential genes were screened,which wete mainly involved in mitotic nuclear division,cell adhesion,angiogenesis.The signaling pathways are mainly concentrated in the cell cycle,calcium signaling pathway,cGMP-PKG signaling pathway,pathways in cancer,cAMP signaling pathway,Rap1 signaling pathway,Ras signaling pathway and p53 signaling pathway,survival analysis showed that BUB1,BUB1B,CCNA2 and CDCA8 were associated with prognosis in patients with endometrial cancer(all P<0.05).Clinical samples confirmed that there were statistical differences between the four genes in endometrial cancer and control group(all P<0.05).Conclusion:Screening out four survival-related Hub genes,BUB1,BUB1B,CCNA2 and CDCA8,may be related to the development of EC,which may provide a basis for subsequent clinical and basic research.
Keywords:endometrial carcinoma   TCGA database   bioinformatics analysis   differentially expressed gene   biomarker
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