Song Jiahang, Liu Yanhu, Guan Xiang, Zhang Xun, Yu Wenda, Li Qingguo
Cardiovascular Center, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Front Mol Biosci. 2021 Jul 5;8:675193. doi: 10.3389/fmolb.2021.675193. eCollection 2021.
Esophageal squamous cell carcinoma (ESCC) accounts for the main esophageal cancer (ESCA) type, which is also associated with the greatest malignant grade and low survival rates worldwide. Ferroptosis is recently discovered as a kind of programmed cell death, which is indicated in various reports to be involved in the regulation of tumor biological behaviors. This work focused on the comprehensive evaluation of the association between ferroptosis-related gene (FRG) expression profiles and prognosis in ESCC patients based on The Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). ALOX12, ALOX12B, ANGPTL7, DRD4, MAPK9, SLC38A1, and ZNF419 were selected to develop a novel ferroptosis-related gene signature for GEO and TCGA cohorts. The prognostic risk model exactly classified patients who had diverse survival outcomes. In addition, this study identified the ferroptosis-related signature as a factor to independently predict the risk of ESCC. Thereafter, we also constructed the prognosis nomogram by incorporating clinical factors and risk score, and the calibration plots illustrated good prognostic performance. Moreover, the association of the risk score with immune checkpoints was observed. Collectively, the proposed ferroptosis-related gene signature in our study is effective and has a potential clinical application to predict the prognosis of ESCC.
食管鳞状细胞癌(ESCC)是食管癌(ESCA)的主要类型,在全球范围内其恶性程度最高且生存率低。铁死亡是最近发现的一种程序性细胞死亡,各种报告表明其参与肿瘤生物学行为的调控。这项工作基于癌症基因组图谱(TCGA)和基因表达综合数据库(GEO),重点对ESCC患者中铁死亡相关基因(FRG)表达谱与预后之间的关联进行全面评估。选择了ALOX12、ALOX12B、ANGPTL7、DRD4、MAPK9、SLC38A1和ZNF419来为GEO和TCGA队列开发一种新的铁死亡相关基因特征。该预后风险模型准确地对具有不同生存结果的患者进行了分类。此外,本研究确定铁死亡相关特征是独立预测ESCC风险的一个因素。此后,我们还通过纳入临床因素和风险评分构建了预后列线图,校准图显示出良好的预后性能。此外,还观察到风险评分与免疫检查点之间的关联。总体而言,我们研究中提出的铁死亡相关基因特征是有效的,在预测ESCC预后方面具有潜在的临床应用价值。