PURPOSE This study aimed to describe the use of a novel 4-lncRNA signature to predict prognosis in patients with laryngeal cancer and to explore its possible mechanisms. METHODS We identified lncRNAs that were differentially expressed between 111 tumor tissue samples and 12 matched normal tissue samples from The Cancer Genome Atlas Database (TCGA). We used Cox regression analysis to identify lncRNAs that were correlated with prognosis. A 4-lncRNA signature was developed to predict the prognosis of patients with laryngeal cancer. The receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to verify the validity of this Cox regression model, and an independent prognosis analysis was used to confirm that the 4-lncRNA signature was an independent prognostic factor. Furthermore, the function of these lncRNAs was inferred using related gene prediction and Gene ontology (GO) enrichment analysis in order to clarify the possible mechanisms underlying their predictive ability. RESULTS In total, 214 differentially expressed lncRNAs were identified, and a 4-lncRNA signature was constructed using Cox survival analysis. The risk coefficients in the multivariate Cox analysis revealed that LINC02154 and MNX1-AS1 are risk factors for laryngeal cancer, whereas MYHAS and LINC01281 appear to be protective factors. The results of a functional annotation analysis suggested that the mechanisms by which these lncRNAs influence prognosis in laryngeal cancer may involve the extracellular exosome, the Notch signaling pathway, voltage-gated calcium channels, and the Wnt signaling pathway. CONCLUSION We identified a novel 4-lncRNA signature that can predict the prognosis of patients with laryngeal cancer and that may influence the prognosis of laryngeal cancer by regulating immunity, tumor apoptosis, metastasis, invasion, and other characteristics through the Notch signaling pathway, voltage-gated calcium channels, and the Wnt signaling pathway.

中文翻译：

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预测喉癌患者预后的4-lncRNA标记的鉴定及其潜在机制。

目的这项研究旨在描述使用新型的4-lncRNA信号来预测喉癌患者的预后并探讨其可能的机制。方法我们从癌症基因组图谱数据库（TCGA）中鉴定了111个肿瘤组织样品和12个匹配的正常组织样品之间差异表达的lncRNA。我们使用Cox回归分析来确定与预后相关的lncRNA。开发了4-lncRNA标记以预测喉癌患者的预后。接受者操作特征（ROC）曲线和曲线下面积（AUC）用于验证此Cox回归模型的有效性，并使用独立的预后分析来确认4-lncRNA信号是独立的预后因素。此外，使用相关的基因预测和基因本体论（GO）富集分析来推断这些lncRNA的功能，以阐明其预测能力的潜在机制。结果总共鉴定出214个差异表达的lncRNA，并使用Cox生存分析构建了4-lncRNA标记。多元Cox分析中的风险系数显示LINC02154和MNX1-AS1是喉癌的危险因素，而MYHAS和LINC01281似乎是保护因素。功能注释分析的结果表明，这些lncRNAs影响喉癌预后的机制可能涉及细胞外囊泡，Notch信号通路，电压门控钙通道和Wnt信号通路。