Identification and Analysis of Autophagy-Related Long Non-coding RNA Prognostic Model for Laryngeal Squamous Cell Carcinoma
YU Changyun
ZHANG Qianqian
ZHANG Cai
XUE Binbin
ZHANG Chen
CAO Hua
JI Qianjing
Abstract：Objective The aim of this study was to develop a prognostic model for laryngeal squamous cell carcinoma based on autophagy-related long non-coding RNA(lncRNA).Methods Transcriptomic data,comprising mRNA and lncRNA from 111 laryngeal squamous cell carcinoma specimens and 12 adjacent non-cancerous epithelial tissues,were retrieved from The Cancer Genome Atlas(TCGA)database.The Pearson correlation coefficient method was employed to identify autophagy-associated lncRNAs.Both univariate and multivariate Cox regression analyses were performed to select prognostic autophagy-related lncRNAs,from which a prognostic model was subsequently constructed.Survival status scatter plots,heatmaps of the lncRNA signature,Kaplan-Meier survival plots,and receiver operating characteristic(ROC)curves were utilized to depict the association between risk scores and the survival status of laryngeal squamous cell carcinoma patients.Results The analyses revealed that eight autophagy-related lncRNAs(LPP-AS2,AC007405.3,AL391244.1,AL513318.2,AC008280.3,AF001548.2,AC012640.2,LINC00324)were significantly correlated with independent prognoses in laryngeal squamous cell carcinoma patients.The risk curve and survival status scatter plot indicated that higher risk scores were associated with increased mortality rates among laryngeal squamous cell carcinoma patients.Kaplan-Meier survival analysis demonstrated that the overall survival rates in the high-risk group were lower compared to the low-risk group(P＜0.001).The ROC curve analysis revealed an area under the curve(AUC)of 0.783 for the risk score.Both univariate and multivariate Cox regression analyses confirmed that the risk score was independently associated with the survival of laryngeal squamous cell carcinoma patients(P＜0.001).Conclusion This study identified eight autophagy-related lncRNA,thereby introducing novel biological markers for laryngeal squamous cell carcinoma research.The prognostic model established herein demonstrates significant potential in predicting the prognosis of laryngeal squamous cell carcinoma patients.
Keywords：laryngeal squamous cell carcinomalncRNAautophagyprognosis
Publication Date：2025-02-28
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：6( 577-582 )