头颈部鳞癌免疫相关lncRNA的生物信息学分析Bioinformatic Analysis of Immune-Related LncRNA in Head and Neck Squamous Cell Carcinoma
吴嘉雯;唐加山;
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
基金项目(Foundation):
作者(Authors): 吴嘉雯;唐加山;
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