吴嘉雯;唐加山;

• 1:南京邮电大学理学院

摘要(Abstract)：

基于HNSCC患者的基因表达数据和临床数据，利用单因素Cox回归、Lasso回归和多因素Cox分析确定具有预后价值的免疫相关ln cRNA,构建预后风险评分模型；并使用Kaplan-Meier分析和时间依赖性ROC曲线评估预后模型的性能。结果筛选得到7个关键ln cRNA并构建生存预后模型，通过Kaplan-Meier分析发现高风险组的生存率显著低于低风险组，同时ROC曲线证明了模型具有良好的预测能力。研究结果表明基于7个免疫相关ln cRNA构建的生存预后模型，可以为HNSCC患者提供有效的生存预后预测。

关键词(KeyWords)： 头颈部鳞癌;免疫;长链非编码RNA;预后

Abstract:

Keywords:

基金项目(Foundation):

作者(Authors): 吴嘉雯;唐加山;

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