Esophageal squamous cell cancer (ESCC) is an aggressive disease associated with a poor prognosis. Long non-coding RNAs (lncRNAs) and oxidative stress play crucial roles in tumor progression. We aimed to identify an oxidative stress-related lncRNA signature that could predict the prognosis in ESCC. In the GSE53625 dataset, we identified 332 differentially expressed lncRNAs (DElncRNAs) between ESCC and control samples, out of which 174 were oxidative stress-related DElncRNAs. Subsequently, seven oxidative stress-related DElncRNAs (CCR5AS, LINC01749, PCDH9-AS1, TMEM220-AS1, KCNMA1-AS1, SNHG1, LINC01672) were selected based on univariate and LASSO Cox to build a prognostic risk model, and their expression was detected by RT-qPCR. The model exhibited an excellent ability for the prediction of overall survival (OS) and other clinicopathological traits using Kaplan–Meier (K-M) survival curves, receiver operating characteristic (ROC) curves, and the Wilcoxon test. Additionally, analysis of infiltrated immune cells and immune checkpoints indicated differences in immune status between the two risk groups. Finally, the in vitro experiments showed that PCDH9-AS1 overexpression inhibited proliferation ability and promoted apoptosis and oxidative stress levels in ESCC cells. In conclusion, our study demonstrated that a novel oxidative stress-related DElncRNA prognostic model performed favorably in predicting ESCC patient prognosis and benefits personalized clinical applications.
食管鳞状细胞癌（ESCC）是一种侵袭性强、预后较差的疾病。长链非编码RNA（lncRNA）与氧化应激在肿瘤进展中发挥关键作用。本研究旨在构建一种能够预测ESCC预后的氧化应激相关lncRNA特征模型。基于GSE53625数据集，我们识别出ESCC样本与对照样本间存在332个差异表达lncRNA（DElncRNA），其中174个为氧化应激相关DElncRNA。通过单因素及LASSO Cox回归分析，最终筛选出七个氧化应激相关DElncRNA（CCR5AS、LINC01749、PCDH9-AS1、TMEM220-AS1、KCNMA1-AS1、SNHG1、LINC01672）构建预后风险模型，并采用RT-qPCR技术验证其表达水平。该模型通过Kaplan-Meier生存曲线、受试者工作特征曲线及Wilcoxon检验，展现出对总生存期及其他临床病理特征的优异预测能力。此外，浸润免疫细胞与免疫检查点分析显示不同风险组间存在免疫状态差异。体外实验进一步证实，过表达PCDH9-AS1可抑制ESCC细胞增殖能力，促进细胞凋亡并提升氧化应激水平。综上所述，本研究构建的新型氧化应激相关DElncRNA预后模型在预测ESCC患者预后方面表现良好，有助于推动个体化临床应用。
肿瘤(癌症)患者之家