基于TCGA数据库分析线粒体相关基因同膀胱癌预后关系

Analysis on the relationship between mitochondrial related genes and prognosis of bladder cancer based on TCGA database

目的构建基于线粒体相关基因同膀胱癌预后模型,并且分析回归模型同膀胱癌预后的关系.方法从癌症基因组图谱(TCGA)数据库下载膀胱癌转录组数据及临床信息,利用R软件进行数据处理分析.首先对膀胱癌患者的癌与癌旁组织中线粒体相关基因进行差异表达分析;然后,对线粒体相关差异表达基因进行GO富集分析、KEGG信号通路富集分析;进一步使用survival包中coxph函数进行COX模型构建,根据风险评分的中位数将患者分为高低风险组,进行Kaplan-Meier(K-M)生存分析,使用survival包分析有关基因与膀胱癌预后的关系;最后使用GSE48075数据对模型进行验证.结果在88个差异表达的线粒体相关基因中,筛选后得到26个差异表达基因与预后相关,进一步剔除了相关性高的基因,获得13个膀胱癌独立预后基因,基于这13个差异表达基因建立了COX回归模型,并按照风险评分把膀胱癌患者分为高低风险组,发现高风险组生存时间显著低于低风险组.最后将该模型应用于验证集数据(GSE48075),发现该模型能较好预测膀胱癌预后.结论基于TCGA数据库分析,筛选出了与膀胱癌预后相关的基因,成功构建了基于13个线粒体差异基因表达水平的膀胱癌预后模型,通过验证分析发现,该模型能够准确地预测膀胱癌患者的预后.因此,该模型可为膀胱癌患者预后提供参考.

Objective To construct a model based on mitochondrial related genes and the prognosis of bladder cancer,and to analyze the relationship between the regression model and the prognosis of bladder cancer.Methods The bladder cancer transcriptome data and clinical information were downloaded from the TCGA,and the R software was used for data processing and analysis.Firstly,the differential expression of mitochondrial related genes in cancer and paracancerous tissues of bladder cancer patients were analyzed.Secondly,the differentially expressed genes related to mitochondria were analyzed by GO enrichment analysis and KEGG signal pathway enrichment analysis.Furthermore,the coxph function in the survival package was used to construct the COX model,and the patients were divided into high and low risk groups according to the median risk score.Kaplan-Meier(K-M)survival analysis was performed.Finally,survival package was used to analyze the relationship between related genes and prognosis of bladder cancer.Finally,GSE48075 data is used to validate the model.Results Among 88 differentially expressed mitochondrial related genes,26 ones were found to be related to prognosis.The genes with high correlation were further eliminated and thirteen independent prognostic genes of bladder cancer were obtained.A cox regression model was established based on the 13 differentially expressed genes.Patients with bladder cancer were divided into high and low risk groups according to risk score.It was found that the survival time of high risk group was significantly lower than that of low risk group.Finally,the model is applied to the verification set data(GSE48075),and it is found that the model can better predict the prognosis of bladder cancer.Conclusion Based on the analysis of TCGA database,the genes related to the prognosis of bladder cancer were screened.A prognostic model of bladder cancer based on the expression level of 13 mitochondrial differential genes was successfully constructed.Verification analysis found that the model can accurately predict the prognosis of patients with bladder cancer.Therefore,the model can provide reference for the prognosis of patients with bladder cancer.