中国临床药理学杂志2025，Vol.41Issue(18)：2661-2666,6.DOI:10.13699/j.cnki.1001-6821.2025.18.016
基于TCGA数据库分析肝细胞癌患者坏死性凋亡相关lncRNA表达并构建预后模型
Analysis of necrotic apoptosis-related lncRNAs expression levels in patients with hepatocellular carcinoma and construction of prognostic model based on TCGA database
摘要
Abstract
Objective To explore the impact of necrotic apoptosis-related long non-coding RNA(lncRNA)on the prognosis of hepatocellular carcinoma(HCC)in high-risk populations.Methods LncRNAs were identified by co-expression analysis of immune genes with gene expression and clinical data from the cancer genome atlas program(TCGA)database.A risk model was established through univariate and multivariate cox proportional hazards regression model(Cox),as well as Lasso regression analysis.Patients were screened from TCGA database and divided into high-risk group and low-risk group.Combined with necrotic apoptosis-related lncRNA features,a highly predictive nomogram was created.Results By analyzing data from the TCGA,a total of five lncRNAs(TMCC1-AS1,AC026412.3,AC026356.1,AC100872.2,and FOXD2-AS1)were identified as potential biomarkers.Nomogram was created,and its predictive efficiency was assessed using a calibration curve.Receiver operating characteristic(ROC)curve analysis showed that the area under curve(AUC)for predicting 1-year,3-year,and 5-year survival rate were 0.781,0.663,and 0.686,respectively(P＜0.001).Conclusion Risk model constructed based on five necrotic apoptosis-related lncRNAs may predict prognosis in HCC patients.关键词
坏死性凋亡/长链非编码核糖核酸/肝细胞癌/预后Key words
necroptosis/long non-coding RNA/hepatocellular carcinoma/prognosis分类
临床医学引用本文复制引用
祝艳秋,杨君,许文君,段瑾,贾敏,马迎民,杜萍..基于TCGA数据库分析肝细胞癌患者坏死性凋亡相关lncRNA表达并构建预后模型[J].中国临床药理学杂志,2025,41(18):2661-2666,6.基金项目
北京肝病研究所自主选题院所合作项目(2025Y-HZ-01) （2025Y-HZ-01）
