焦亡相关lncRNA对喉癌预后的预测价值

刘长健; 王健; 刘绍严

doi:10.3971/j.issn.1000-8578.2022.21.0962

焦亡相关lncRNA对喉癌预后的预测价值

Pyroptosis-related lncRNAs Predict Prognosis of Laryngeal Cancer

摘要

摘要:
目的基于焦亡相关lncRNA构建喉癌的预后模型。
方法从TCGA数据库下载喉癌转录组表达数据和患者的临床资料。利用Wilcox秩和检验和Spearman相关性分析筛选出差异表达的焦亡相关lncRNA。进一步利用单因素Cox分析筛选出与患者预后相关的lncRNA（P < 0.05），并使用多因素Cox回归建立预后模型。ROC评估该预后模型的敏感度和特异性。
结果与正常喉组织相比，喉癌组织中差异表达的焦亡相关lncRNA共有483个（|log FC|≥1, FDR < 0.05）。单因素Cox分析显示在差异表达的lncRNA中有23个与预后有关。多因素Cox回归分析最终得到基于10个lncRNA的预测喉癌患者生存的预后模型。ROC中曲线下面积（AUC）分析显示，该模型具有较好的预测能力（AUC > 0.8）。
结论焦亡相关lncRNA可用于预测喉癌患者的预后。

Abstract:
Objective To construct a prognostic model of laryngeal cancer based on pyroptosis-related lncRNAs.
Methods Transcriptome expression and clinical data of patients with laryngeal cancer were downloaded from TCGA database. Differentially-expressed pyroptosis-related lncRNAs were selected using Wilcox rank sum test and Spearman correlation analysis. LncRNAs associated with patients' prognosis were further selected using univariate Cox analysis (P < 0.05), and a prognostic model was established using multivariate Cox regression. ROC curve was used to assess the sensitivity and specificity of this model.
Results There were a total of 483 differentially-expressed pyroptosis-related lncRNAs in laryngeal cancer tissues, compared with normal laryngeal tissues (|logFC|≥1, FDR < 0.05). Univariate Cox analysis showed that 23 differentially-expressed lncRNAs were associated with prognosis. Multivariate Cox regression analysis finally obtained a prognostic model based on 10 lncRNAs for predicting the survival of laryngeal carcinoma patients. AUC showed that the model had a good predictive ability (AUC > 0.8).
Conclusion Pyroptosis-related lncRNAs can be used to predict the prognosis of patients with laryngeal cancer.

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