Department of Otorhinolaryngology, Head and Neck Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000 Guizhou Province, China.
Dis Markers. 2021 Nov 22;2021:5759927. doi: 10.1155/2021/5759927. eCollection 2021.
The clinical TNM staging system is currently used to evaluate the prognosis of head and neck squamous cell carcinoma (HNSCC). The 5-year survival rate for patients with HNSCC is less than 50%, which is attributed to the lack of reliable prognostic biomarkers. Ferroptosis-related genes (FRGs) regulate cancer initiation and progression. Therefore, we analyzed the correlation between FRGs and the clinical outcomes of patients with . A typical prognostic model of FRGs for HNSCC was constructed using bioinformatics tools and data from public databases, including The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and GeneCards. The model was generated based on the following six FRGs: , , , , , and . The accuracy of model prediction was analyzed systematically. The overall survival (OS) of the high-risk group was significantly lower than that of the low-risk group. The AUC for 1-year, 3-year, and 5-year survival were 0.645, 0.721, and 0.737, respectively, in the training set (TCGA cohort) and 0.726, 0.620, and 0.584, respectively, in the validation set (GSE65858). The multivariate Cox regression analysis revealed that the risk score was an independent prognostic factor for HNSCC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed that six FRGs were enriched in the ferroptosis pathway. A novel FRG prognostic signature model was established for HNSCC. The findings of this study reveal that FRGs are potential biomarkers for HNSCC.
目前,临床 TNM 分期系统用于评估头颈部鳞状细胞癌(HNSCC)的预后。HNSCC 患者的 5 年生存率低于 50%,这归因于缺乏可靠的预后生物标志物。铁死亡相关基因(FRGs)调节癌症的发生和进展。因此,我们分析了 FRGs 与. 患者临床结局的相关性。使用生物信息学工具和来自公共数据库(包括癌症基因组图谱(TCGA)、基因表达综合数据库(GEO)和基因卡片)的数据构建了用于预测 HNSCC 的 FRGs 典型预后模型。该模型基于以下六个 FRGs 构建: , , , , , 。系统分析了模型预测的准确性。高危组的总体生存率(OS)明显低于低危组。在训练集(TCGA 队列)中,1 年、3 年和 5 年的 AUC 分别为 0.645、0.721 和 0.737,在验证集(GSE65858)中分别为 0.726、0.620 和 0.584。多变量 Cox 回归分析表明,风险评分是 HNSCC 的独立预后因素。基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析表明,六个 FRGs 富集在铁死亡途径中。建立了用于 HNSCC 的新型 FRG 预后签名模型。本研究的结果表明,FRGs 是 HNSCC 的潜在生物标志物。
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