Li Chunyan, Wang Xuemin, Qin Rujia, Zhong Zhaoming, Sun Chuanzheng
Department of Head and Neck Surgery Section II, The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, Kunming, China.
Department of Medical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Front Genet. 2021 Sep 3;12:698040. doi: 10.3389/fgene.2021.698040. eCollection 2021.
Squamous cell carcinoma of the head and neck (HNSCC) is one of the six most common malignancies. HNSCC has both a high incidence and poor prognosis, and its prognostic factors remain unclear. Ferroptosis is a newly discovered form of programmed cell death that is iron-dependent. Increasing evidence indicates that targeting ferroptosis may present a new form of anti-tumor treatment. However, the prognostic value of ferroptosis-related genes (FRGs) in HNSCC is unclear. This study was designed to identify molecular markers associated with ferroptosis that influence prognosis in patients with HNSCC. We used HNSCC tumor and normal data from The Cancer Genome Atlas (TCGA) to identify prognosis-related FRGs. An FRG-based prognostic risk score was constructed, and its prognostic value for patients with HNSCC was evaluated using receiver operating characteristic curve (ROC) and nomogram analyses. The model was validated using the Gene Expression Omnibus (GEO) database. Univariate Cox regression analysis in patients with HNSCC revealed 11 FRGs that were significantly associated with overall survival (OS). We constructed a ferroptosis risk score model based on five genes and divided the patients into different risk groups based on its median value. Kaplan-Meier curve analysis showed that patients with a higher ferroptosis risk score had shorter OS (TCGA training set: < 0.001, TCGA validation set: < 0.05,GEO validation set: < 0.001), and Gene Expression Profiling Interactive Analysis (GEPIA) further verified the relationships between these five genes and prognosis in patients with HNSCC. Multivariate Cox regression analysis showed that the risk score remained an independent predictor of OS after the exclusion of clinical confounders ( > 1, < 0.01). Significant differences in gene function enrichment analysis and immune cell infiltration status were identified between the two groups. The prognostic model can be used to predict the prognosis of patients with HNSCC. Moreover, the five FRGs may affect ferroptosis in HNSCC and thereby represent potential treatment targets. These results provide new directions for HNSCC treatment.
头颈部鳞状细胞癌(HNSCC)是六种最常见的恶性肿瘤之一。HNSCC发病率高且预后差,其预后因素仍不清楚。铁死亡是一种新发现的铁依赖性程序性细胞死亡形式。越来越多的证据表明,靶向铁死亡可能是一种新的抗肿瘤治疗形式。然而,铁死亡相关基因(FRGs)在HNSCC中的预后价值尚不清楚。本研究旨在鉴定与铁死亡相关的分子标志物,这些标志物会影响HNSCC患者的预后。我们使用来自癌症基因组图谱(TCGA)的HNSCC肿瘤和正常数据来鉴定与预后相关的FRGs。构建了基于FRG的预后风险评分,并使用受试者工作特征曲线(ROC)和列线图分析评估其对HNSCC患者的预后价值。该模型使用基因表达综合数据库(GEO)进行验证。对HNSCC患者进行单变量Cox回归分析,发现11个FRGs与总生存期(OS)显著相关。我们基于五个基因构建了铁死亡风险评分模型,并根据其中位数将患者分为不同的风险组。Kaplan-Meier曲线分析表明,铁死亡风险评分较高的患者OS较短(TCGA训练集:<0.001,TCGA验证集:<0.05,GEO验证集:<0.001),基因表达谱交互式分析(GEPIA)进一步验证了这五个基因与HNSCC患者预后之间的关系。多变量Cox回归分析表明,在排除临床混杂因素后,风险评分仍然是OS的独立预测因子(>1,<0.01)。两组之间在基因功能富集分析和免疫细胞浸润状态方面存在显著差异。该预后模型可用于预测HNSCC患者的预后。此外,这五个FRGs可能影响HNSCC中的铁死亡,从而代表潜在的治疗靶点。这些结果为HNSCC治疗提供了新的方向。