机构地区:[1]郑州大学第一附属医院耳鼻咽喉头颈外科,河南郑州450052
出 处:《河南医学研究》2025年第4期577-582,共6页Henan Medical Research
基 金:国家自然科学基金青年基金项目(81402232);河南省重点研发与推广专项(科技攻关)(202102310116);河南省高等学校重点科研项目(20A320022);河南省医学科技攻关省部共建青年项目(SBGJ202103067)。
摘 要:目的本研究旨在构建一个基于自噬相关长链非编码RNA(lncRNA)的喉鳞状细胞癌预后预测模型。方法从癌症基因图谱数据库中获取了111例喉鳞状细胞癌患者的肿瘤组织及12例附近正常组织的转录组数据(包括mRNA与lncRNA)。采用Pearson相关性分析方法筛选出与自噬相关的lncRNA;随后对这些筛选出的lncRNA进行单因素和多因素Cox回归分析,从而识别出与喉鳞状细胞癌独立预后相关的自噬相关lncRNA,并建立相应的预后模型。通过绘制风险评分曲线、Kaplan-Meier生存曲线及受试者工作特征(ROC)曲线,评估风险模型与喉鳞状细胞癌患者预后的关联性。结果单因素和多因素Cox回归分析得到8个自噬相关的lncRNA(LPP-AS2、AC007405.3、AL391244.1、AL513318.2、AC008280.3、AF001548.2、AC012640.2、LINC00324)与喉鳞状细胞癌患者预后独立相关。风险评分曲线和生存状态散点图结果表明,风险评分越高,喉鳞状细胞癌患者的病死率也随之增加。Kaplan-Meier生存曲线表明,高风险喉鳞状细胞癌患者的总生存率低于低风险患者(P<0.001)。ROC曲线分析显示,自噬相关lncRNA的曲线下面积(AUC)为0.783。单因素与多因素Cox回归分析结果表明,风险评分与喉鳞状细胞癌患者的生存具有独立相关性(P<0.001)。结论本研究选出的8个相关于自噬的lncRNA,为喉鳞状细胞癌的基础研究提供了十分重要的生物标志物;构建的预后模型对喉鳞状细胞癌患者的预后评估具有一定的预测意义。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 laryngea
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