基于生物信息学分析构建肝内胆管细胞癌患者铁死亡相关lncRNA预后模型

Establishment of a ferroptosis-related lncRNA prognostic model for patients with intrahepatic cholangiocarcinoma based on bioinformatics analysis

目的基于生物信息学分析建立肝内胆管细胞癌(ICC)患者的铁死亡相关长链非编码RNA(lncRNA)预后模型。方法从癌症基因组图谱(TCGA)数据库获取36例ICC和9例正常人群基因表达数据及相应临床信息,提取与预后相关的铁死亡lncRNA并构建预后模型。通过Cox回归模型和ROC曲线验证铁死亡相关lncRNA预后模型的预测能力。生存分析采用Kaplan-Meier法和Log-rank检验。结果多因素Cox回归分析筛选出AL161431.1和LINC01587两个铁死亡相关lncRNA为ICC生存预后的独立预测因子(HR=2.99,7.23;P<0.05)。建立ICC患者lncRNA预后模型,风险评分=1.096×AL161431.1+1.979×LINC01587。Kaplan-Meier生存曲线显示高风险组与低风险组的总体生存期差异有统计学意义(χ2=6.54,P<0.05)。多因素Cox回归分析显示,铁死亡相关lncRNA风险评分是一个独立的预后指标(HR=1.12,P<0.05)。该模型1、2、3年生存的时间依赖性ROC曲线下面积(AUC)分别为0.883,0.837和0.853;而肿瘤分级、分期的1年生存的时间依赖性ROC曲线AUC分别为0.598、0.637,该模型生存预后预测能力明显优于肿瘤分级和分期。结论本研究构建的铁死亡相关lncRNA预测模型能有效预测ICC患者的生存。

Objective To establish a ferroptosis-related long non-coding RNA(lncRNA)prognostic model for patients with intrahepatic cholangiocarcinoma(ICC)based on bioinformatics analysis.Methods The gene expression data and clinical information of 36 patients with ICC and9 healthy counterparts were obtained from The Cancer Genome Atlas(TCGA)database,and the ferroptosis-related lncRNAs which were associated with clinical prognosis were extracted to establish the prognostic model.The predictive performance of ferroptosis-related lncRNA prognostic model was assessed by Cox's regression model and ROC curve.Survival analysis was carried out by Kaplan-Meier method andLog-rank test.Results Multivariate Cox's regression analysis revealed that two ferroptosis-related lncRNAs,AL161431.1 and LINC01587,were the independent prognostic factors of ICC(HR=2.99,7.23;P<0.05).The lncRNA prognostic model was established for patients with ICC.The risk score=1.096×AL161431.1+1.979×LINC01587.Significant difference was observed in the overall survival between high-risk and low-risk groups by Kaplan-Meier survival curve(χ2=6.54,P<0.05).Multivariate Cox's regression analysis demonstrated that the risk score of ferroptosis-related lncRNA was an independent prognostic factor(HR=1.12,P<0.05).The area under time-dependent ROC curve(AUC)of the 1-,2-and 3-year survival of this model was 0.883,0.837 and 0.853,respectively.However,1-year survival AUC of time-dependent ROC curve of tumor grading and staging was 0.598 and 0.637.The prognostic prediction ability of this model was significantly better than those of tumor grading and staging.Conclusions The prognostic model based on ferroptosis-related lncRNA can effectively predict the survival of patients with ICC.