Abstract:目的
基于铜死亡相关长链非编码RNA(lncRNA)构建膀胱癌患者预后风险评估模型。
方法
下载癌症基因组图谱数据库中的膀胱癌患者RNA序列数据和临床数据,采用Pearson相关性分析、单因素Cox回归、Lasso回归和多因素Cox回归分析筛选与铜死亡及膀胱癌患者预后相关的lncRNA,并构建铜死亡相关的lncRNA膀胱癌患者预后风险评分方程。根据风险评分方程计算的中位数将患者分为高风险组和低风险组,比较两组免疫细胞丰度差异。应用Kaplan-Meier生存曲线评估风险评分方程的准确性;应用受试者操作特征 曲线(ROC曲线)评估风险评分方程预测患者1、3、5年存活率的价值;采用单因素和多因素Cox回归筛选与膀胱癌患者预后相关的影响因素,构建膀胱癌患者预后风险评估列线图,并通过校准曲线评估列线图预测的准确性。
结果
膀胱癌患者预后风险评分方程由9个铜死亡相关的lncRNA构建。免疫浸润分析结果显示,高风险组M0巨噬细胞、M1巨噬细胞、M2巨噬细胞、静息肥大细胞及中性粒细胞丰度明显高于… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.