喉鳞状细胞癌（LSCC）的预后在过去几十年中并未明显改善，需要探索更有效的治疗方法。铁死亡是近年来新发现的一种调节性细胞死亡，与肿瘤免疫相关，可用于治疗肿瘤。因此,铁死亡相关基因在喉癌中的预后价值有待进一步阐明。本研究从公共数据库下载LSCC的mRNA表达谱数据。在鉴定出与铁死亡相关的差异表达基因（FDG）后，我们通过功能富集分析探讨了这些基因的作用。通过单变量 Cox 和最小绝对收缩和选择算子 (LASSO) 回归分析确定具有预后意义的 FDG。通过计算风险评分，我们构建了一个预后模型。利用卡普兰-迈耶 (K-M) 分析、受试者工作特征 (ROC) 曲线和列线图来研究该模型。通过公共数据库和定量实时聚合酶链反应（qRT-PCR）来验证模型基因的表达。由四个 FDG 组成的模型被认为是预后的自我决定预测因子。 K-M生存曲线和ROC曲线证实了模型的预测能力。 C指数（0.805）表明列线图具有良好的预测能力。体外研究证实了四种 FDG 的差异表达。我们在 LSCC.2024 转化癌症研究中鉴定了一种新的铁死亡相关基因特征，用于预测预后。版权所有。

Laryngeal squamous cell carcinoma (LSCC) prognosis has not improved significantly in the past few decades, and more effective treatments are needed to be explored. Ferroptosis is a newly discovered kind of regulated cell death in recent years, which is related to tumor immunity and can used to treat tumors. Therefore, the prognostic value of ferroptosis-related genes in laryngeal cancer needs further clarification.In this study, the mRNA expression profile data of LSCC were downloaded from the public database. After identifying ferroptosis-related differentially expressed genes (FDGs), we explored the role of these genes through functional enrichment analysis. FDGs with prognostic significance were identified by univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analyses. By calculating the risk score, we constructed a prognostic model. Kaplan-Meier (K-M) analysis, the receiver operating characteristic (ROC) curves, and the nomogram were utilized to investigate this model. Public databases and quantitative real-time polymerase chain reaction (qRT-PCR) were performed to verify the expression of model genes.The model consisting of four FDGs was acknowledged to be a self-determining predictor of prognosis. The K-M survival curves and the ROC curves confirmed the model's predictive ability. The C index (0.805) indicates that the nomogram has a good predictive ability. In vitro studies have confirmed the differential expression of the four FDGs.We identified a novel ferroptosis-related gene signature for predicting prognosis in LSCC.2024 Translational Cancer Research. All rights reserved.