摘要
目的:构建预测宫颈癌生存期的双硫死亡相关长链非编码RNA(lncRNA)预后模型.方法:从TCGA数据库下载307 个宫颈癌RNA测序数据及临床信息,随机分为训练集和测试集.使用共表达分析和回归分析得到双硫死亡相关lncRNA并构建预后模型.根据风险评分中位数将患者分为高风险组和低风险组.使用Kaplan-Meier生存分析、Cox回归分析、受试者工作特征(ROC)曲线、主成分分析、列线图和校准曲线评估模型的预测效能.结果:共得到3 个双硫死亡相关lncRNA并构建预后模型.Kaplan-Meier生存分析结果显示高风险组的总生存期短于低风险组.风险曲线显示高危患者的死亡率高于低危患者.Cox回归分析显示风险评分是独立预后因子.该模型预测患者 1 年、3 年、5 年存活率的 ROC 曲线下面积(AUC)分别为0.780、0.701、0.716.列线图和校准曲线表明预后模型接近于理想模型.结论:本研究构建了宫颈癌的双硫死亡相关lncRNA预后模型,该模型预测效能良好.
Abstract
Objective:To construct a prognostic model of disulfidptosis-related long non-coding RNA(lncRNA)for predicting the survival of cervical cancer.Methods:307 cervical cancer RNA sequencing data and clinical information were downloaded from TCGA database and randomly divided into training and test set.The disulfidptosis-related lncRNA were obtained by co-expression analysis and regression analysis,and a prognostic model was constructed.Patients were divided into high risk group and low risk group based on median risk score.Finally,Kaplan-Meier survival analysis,Cox regression analysis,receiver operator characteristic curves,principal component analysis,calibration curve evaluation model were used to evaluate the prediction efficiency of the model.Results:A total of 3 disulfidptosis-related lncRNA were obtained and prognosis models were constructed.Kaplan-Meier survival analysis showed that the overall survival of the high-risk group was shorter than that of the low-risk group,the mortality rate was higher than low-risk patients.Cox regression analysis showed that risk score was an independent prognostic factor.The AUC of survival rates for 1-year,3-year and 5-year were 0.780,0.701 and 0.716.The principal component analysis and calibration curve evaluation showed that the prediction model was close to the idealized model.Conclusion:A prognostic model of disulfidptosis-related lncRNA in cervical cancer is constructed,which is effective.
维普
万方数据