基于TCGA数据库的肾透明细胞癌线粒体自噬基因预后模型构建及预后标志物鉴定
Construction of Mitophagy Gene Prognostic Model and Identification of Prognostic Markers for Renal Clear Cell Carcinoma Based on TCGA Database
丛晗 1王淳合 2何朝辉1
作者信息
- 1. 中山大学附属第八医院泌尿外科,广东深圳,518033
- 2. 中山大学医学院,广州,518107
- 折叠
摘要
目的:构建基于TCGA数据库的肾透明细胞癌线粒体自噬基因预后模型,寻找肾透明细胞癌的预后标志物.方法:利用TCGA-KIRC数据集,对线粒体自噬基因进行差异表达分析及单因素Cox分析;在训练集内应用多因素Cox回归模型构建预后风险评估模型;在验证集及完整集中对其预测效果进行评价;对构成该模型的基因进行鉴定.结果:筛选出3个线粒体自噬基因(E2F1、TRAF2和BNIP3)构建风险模型,生存分析结果显示与低风险组相比,高风险组患者的生存期更短且ROC曲线下面积大于0.68(P＜0.01);E2F1在肾透明细胞癌中高表达并与预后不良有关.结论:基于线粒体自噬基因构建的肾透明细胞癌预后风险模型可有效预测患者预后;E2F1具有作为预后标记物的潜力.
Abstract
Objective:Based on the TCGA database,to construct a prognostic model of Kidney renal clear cell carcinoma(KIRC)using mitophagy genes and to search for tumor prognostic molecules of KIRC.Methods:Based on TCGA-KIRC data,differential expression analysis and univariate Cox analysis were conducted on mitophagy genes.Subsequently,a risk score model was constructed using a multivariate Cox regression in training set and then its predictive ability was evaluated in both the testing set and the complete set.Additionally,the genes constituting this model were analyzed.Results:Three mitochondrial mitophagy genes(E2F1,TRAF2,and BNIP3)were selected to construct the risk score model.The results of the survival analysis indicated compared to the low-risk group,patients in the high-risk group had shorter survival periods(P＜0.01)and the area under the ROC curve was greater than 0.68.E2F1 was highly expressed in KIRC and was associated with poor prognosis.Conclusions:The risk score model based on mitophagy genes for KIRC can effectively predict the prognosis of patients.And E2F1 has potential as a prognostic marker.
关键词
肾透明细胞癌/线粒体自噬/预后模型/预后标记物Key words
Kidney renal clear cell carcinoma/Mitophagy/Prognosis model/Prognostic marker引用本文复制引用
基金项目
2023深圳市医学研究专项资金项目(A2301025)
出版年
2024
NETL
NSTL
万方数据