Pyroptosis-related lncRNAs Predict Prognosis of Laryngeal Cancer

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.