Identification of a Ferroptosis Gene Set That Mediates the Prognosis of Squamous Cell Carcinoma of the Head and Neck.
Identification of a Ferroptosis Gene Set That Mediates the Prognosis of Squamous Cell Carcinoma of the Head and Neck.
复制标题
介导头颈鳞状细胞癌预后的铁死亡基因组的鉴定。
DOI：
10.3389/fgene.2021.698040
复制
发表时间：
2021
影响因子：
3.7
通讯作者：
Sun C
中科院分区：
文献类型：
--
作者：
Li C;Wang X;Qin R;Zhong Z;Sun C
头颈鳞状细胞癌（HNSCC）是六种最常见的恶性肿瘤之一。 HNSCC发病率高，预后差，其预后因素尚不清楚。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，针对铁死亡可能会提供一种新的抗肿瘤治疗方式。然而，铁死亡相关基因（FRG）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、影响 HNSCC 患者预后的分子标记。我们使用来自癌症基因组图谱 (TCGA) 的 HNSCC 肿瘤和正常数据来识别与预后相关的 FRG。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 (GEO) 数据库进行了验证。 HNSCC 患者的单变量 Cox 回归分析显示 11 个 FRG 与总生存期 (OS) 显着相关。我们构建了基于五个基因的铁死亡风险评分模型，并根据其中值将患者分为不同的风险组。 Kaplan-Meier曲线分析显示，铁死亡风险评分较高的患者OS较短（TCGA训练集：P < 0.001，TCGA验证集：P < 0.05，GEO验证集：P < 0.001），基因表达谱交互分析（GEPIA）进一步验证了这5个基因与HNSCC患者预后的关系。多变量 Cox 回归分析显示，排除临床混杂因素后，风险评分仍然是 OS 的独立预测因子（HR > 1，P < 0.01）。两组之间的基因功能富集分析和免疫细胞浸润状态存在显着差异。该预后模型可用于预测HNSCC患者的预后。此外，这五种 FRG 可能会影响 HNSCC 的铁死亡，从而代表潜在的治疗靶点。这些结果为HNSCC的治疗提供了新的方向。
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: P < 0.001, TCGA validation set: P < 0.05,GEO validation set: P < 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 (HR > 1, P < 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.
登录
查看更多内容
从头颈鳞状细胞癌的基因组研究中获得的治疗见解。
影响因子：
28.2
作者：
Hammerman PS;Hayes DN;Grandis JR
通讯作者：
Grandis JR
影响因子：
9
作者：
Gagliardi, Mara;Cotella, Diego;Corazzari, Marco
通讯作者：
Corazzari, Marco
影响因子：
64.8
作者：
Jiang, Le;Kon, Ning;Li, Tongyuan;Wang, Shang-Jui;Su, Tao;Hibshoosh, Hanina;Baer, Richard;Gu, Wei
通讯作者：
Gu, Wei
影响因子：
7.4
作者：
Hirschhorn T;Stockwell BR
通讯作者：
Stockwell BR
影响因子：
2.9
作者：
Li, Yu;Yan, Hengyi;Zhao, Li
通讯作者：
Zhao, Li