Department of Otolaryngology Head and Neck Surgery, Zigong First People's Hospital, Zigong, Sichuan, China.
Sci Rep. 2023 Aug 19;13(1):13513. doi: 10.1038/s41598-023-40740-2.
Metastasis is a major cause of treatment failure and poor outcomes in cancer patients. The data used in the current study was downloaded from TCGA and GEO databases. Differentially expressed metastasis-related genes were identified and the biological functions were implemented. Kaplan-Meier analysis univariate, and, multivariate Cox regression analyses were performed to identify robust prognostic biomarkers, followed by construction of the risk model and nomogram. Gene set enrichment analysis was performed to identify pathways enriched in low- and high-risk groups. POLR2J3 and MYH11 were treated as prognostic biomarkers in LSCC and the risk model was constructed. Receiver operating characteristic curves revealed the good performance of the risk model. A nomogram with high accuracy was constructed, as evidenced by calibration and decision curves. Moreover, we found that the expressions of POLR2J3 and MYH11 was significantly higher in metastasis tissues compared with those in non-metastasis tissues by RT-qPCR and IHC. Our study identified novel metastasis-related prognostic biomarkers in LSCC and constructed a unique nomogram for predicting the prognosis of LSCC patients. Moreover, we explored the related mechanisms of metastasis-related genes in regulating LSCC.
转移是癌症患者治疗失败和预后不良的主要原因。本研究中使用的数据来自 TCGA 和 GEO 数据库。鉴定差异表达的转移相关基因，并进行生物学功能分析。通过 Kaplan-Meier 分析单因素和多因素 Cox 回归分析，确定稳健的预后生物标志物，然后构建风险模型和列线图。进行基因集富集分析，鉴定低风险和高风险组中富集的通路。POLR2J3 和 MYH11 被视为 LSCC 的预后生物标志物，并构建了风险模型。ROC 曲线表明风险模型具有良好的性能。通过校准和决策曲线证实构建了一个具有高准确性的列线图。此外，通过 RT-qPCR 和 IHC 发现 POLR2J3 和 MYH11 在转移组织中的表达明显高于非转移组织。本研究鉴定了 LSCC 中新型转移相关预后生物标志物，并构建了用于预测 LSCC 患者预后的独特列线图。此外，我们还探讨了转移相关基因在调节 LSCC 中的相关机制。
