A Novel Ferroptosis-Related Gene Signature to Predict Prognosis in Patients with Head and Neck Squamous Cell Carcinoma.

A Novel Ferroptosis-Related Gene Signature to Predict Prognosis in Patients with Head and Neck Squamous Cell Carcinoma.
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一种新的铁死亡相关基因特征可预测头颈鳞状细胞癌患者的预后

DOI:
10.1155/2021/5759927
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Liu ZH
Liu ZH
中科院分区:
医学4区
文献类型:
--
作者:
Xu L;Li YY;Zhang YC;Wu YX;Guo DD;Long D;Liu ZH

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临床TNM分期系统目前被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。铁蛋白沉积相关基因(FRG)调节癌症的发生和发展。因此,我们分析了FRG与HNSCC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的数据构建了HNSCC的FRG的典型预后模型,所述公共数据库包括癌症基因组图谱(TCGA)、基因表达综合(GEO)和GeneCards。该模型基于以下六个FRG生成:ATG 5、PRDX 6、OTUB 1、FTH 1、SOCS 1和MAP 3K 5。对模型预测精度进行了系统分析。高危组的总生存期(OS)明显低于低危组。训练集(TCGA队列)中1年、3年和5年生存期的AUC分别为0.645、0.721和0.737,验证集(GSE 65858)中分别为0.726、0.620和0.584。多因素考克斯回归分析显示危险度评分是影响HNSCC预后的独立因素。基因本体论(GO)和京都基因和基因组百科全书(KEGG)分析显示六个FRG在铁凋亡途径中富集。建立了一种新的HNSCC FRG预后特征模型。本研究结果显示FRG是HNSCC潜在的生物标志物。
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 HNSCC. 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: ATG5, PRDX6, OTUB1, FTH1, SOCS1, and MAP3K5. 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.
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