Zhu Lei, Yang Fugui, Wang Lingwei, Dong Lin, Huang Zhiyuan, Wang Guangxue, Chen Guohan, Li Qinchuan
Department of Thoracic Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Cancer Cell Int. 2021 Feb 18;21(1):124. doi: 10.1186/s12935-021-01821-2.
Ferroptosis is a recently recognized non-apoptotic cell death that is distinct from the apoptosis, necroptosis and pyroptosis. Considerable studies have demonstrated ferroptosis is involved in the biological process of various cancers. However, the role of ferroptosis in esophageal adenocarcinoma (EAC) remains unclear. This study aims to explore the ferroptosis-related genes (FRG) expression profiles and their prognostic values in EAC.
The FRG data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) database. Univariate and multivariate cox regressions were used to identify the prognostic FRG, and the predictive ROC model was established using the independent risk factors. GO and KEGG enrichment analyses were performed to investigate the bioinformatics functions of significantly different genes (SDG) of ferroptosis. Additionally, the correlations of ferroptosis and immune cells were assessed through the single-sample gene set enrichment analysis (ssGSEA) and TIMER database. Finally, SDG were verified in clinical EAC specimens and normal esophageal mucosal tissues.
Twenty-eight significantly different FRG were screened from 78 EAC and 9 normal tissues. Enrichment analyses showed these SDG were mainly related to the iron-related pathways and metabolisms of ferroptosis. Gene network demonstrated the TP53, G6PD, NFE2L2 and PTGS2 were the hub genes in the biology of ferroptosis. Cox regression analyses demonstrated four FRG (CARS1, GCLM, GLS2 and EMC2) had prognostic values for overall survival (OS) (all P < 0.05). ROC curve showed better predictive ability using the risk score (AUC = 0.744). Immune cell enrichment analysis demonstrated that the types of immune cells and their expression levels in the high-risk group were significant different with those in the low-risk group (all P < 0.05). The experimental results confirmed the ALOX5, NOX1 were upregulated and the MT1G was downregulated in the EAC tissues compared with the normal esophageal mucosal tissues (all P < 0.05).
We identified differently expressed ferroptosis-related genes that may involve in EAC. These genes have significant values in predicting the patients' OS and targeting ferroptosis may be an alternative for therapy. Further studies are necessary to verify these results of our study.
铁死亡是一种最近被认识到的非凋亡性细胞死亡,不同于凋亡、坏死性凋亡和焦亡。大量研究表明铁死亡参与了各种癌症的生物学过程。然而,铁死亡在食管腺癌(EAC)中的作用仍不清楚。本研究旨在探索食管腺癌中铁死亡相关基因(FRG)的表达谱及其预后价值。
从癌症基因组图谱(TCGA)数据库下载FRG数据和临床信息。采用单因素和多因素cox回归来识别预后性FRG,并使用独立危险因素建立预测性ROC模型。进行GO和KEGG富集分析以研究铁死亡中显著差异基因(SDG)的生物信息学功能。此外,通过单样本基因集富集分析(ssGSEA)和TIMER数据库评估铁死亡与免疫细胞的相关性。最后,在临床EAC标本和正常食管黏膜组织中验证SDG。
从78例EAC组织和9例正常组织中筛选出28个显著差异的FRG。富集分析表明这些SDG主要与铁相关途径和铁死亡代谢有关。基因网络显示TP53、G6PD、NFE2L2和PTGS2是铁死亡生物学中的核心基因。Cox回归分析表明四个FRG(CARS1、GCLM、GLS2和EMC2)对总生存期(OS)具有预后价值(所有P<0.05)。ROC曲线显示使用风险评分具有更好的预测能力(AUC=0.744)。免疫细胞富集分析表明,高风险组中免疫细胞的类型及其表达水平与低风险组显著不同(所有P<0.05)。实验结果证实,与正常食管黏膜组织相比,EAC组织中ALOX5、NOX1上调,MT1G下调(所有P<0.05)。
我们鉴定出了可能参与食管腺癌的差异表达铁死亡相关基因。这些基因在预测患者总生存期方面具有重要价值,靶向铁死亡可能是一种治疗选择。需要进一步研究来验证我们的研究结果。