目的:结合生物信息学分析和PCR表达验证,探索子宫内膜癌(endometrial carcino-ma,EC)肿瘤微环境中的预后关键基因.方法:下载获取TCGA数据库中552 例EC患者的基因表达数据,应用R软件ESTIMATE算法进行免疫评分和基质评分,筛选表达差异基因.多种算法对差异基因的预后情况和相关通路进一步探索.PCR实验分析差异基因在细胞系中的表达相关性.结果:Cox回归分析和KM生存分析提示CCR4(C-C motif chemokine receptor 4,CCR4)为潜在预后相关基因.GSEA(gene set enrichment analysis,GSEA)、KEGG(kyoto encyclopedia of genes and genomes,KEGG)分析结果发现,CCR4 在免疫应答-激活细胞表面受体信号通路中显著富集.RT-qPCR结果表明,在细胞水平,CCR4 在肿瘤组的表达显著高于非肿瘤组.结论:子宫内膜癌的肿瘤微环境中存在免疫浸润,CCR4 有望成为新的子宫内膜癌诊断标记物.
Bioinformatics analysis and expression profile analysis of prognostic related genes in the tumor microenvironment of endometrial carcinoma
Objective:To explore the key prognostic genes in the tumor microenvironment of endometrial carcinoma by bioinformatics analysis and PCR expression verification.Methods:The gene expression data of 552 patients with en-dometrial carcinoma were downloaded from TCGA database,and the immune score and interstitial score were performed by R software ESTIMATE algorithm to screen the differentially expressed genes.A variety of algorithms were used to fur-ther explore the prognosis of differential genes and related pathways.PCR assay was used to analyze the expression cor-relation of differential genes in clinical tissues and cell lines.Results:Cox regression analysis and KM survival analysis indicated that CCR4 was a potential prognostic gene.GSEA and KEGG results showed that CCR4 was significantly en-riched in the immune response-activation cell surface receptor signaling pathway.The results of RT-qPCR showed that the expression of CCR4 in tumor group was significantly higher than that in non-tumor group at cell level and tissue level.Conclusion:Immunoinfiltration exists in the tumor microenvironment of endometrial carcinoma,and CCR4 is ex-pected to be a new diagnostic marker for endometrial carcinoma.
万方数据
维普
