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铁死亡相关基因 NOX4、CHAC1 和 HIF1A 是胃腺癌的有效生物标志物。

Ferroptosis-related gene NOX4, CHAC1 and HIF1A are valid biomarkers for stomach adenocarcinoma.

机构信息

Department of Medcine, Qingdao University, Qingdao, China.

Department of Oncology, Affiliated Hospital of Qingdao University, Qingdao, China.

出版信息

J Cell Mol Med. 2022 Feb;26(4):1183-1193. doi: 10.1111/jcmm.17171. Epub 2022 Jan 13.

DOI:10.1111/jcmm.17171
PMID:35023280
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8831942/
Abstract

Ferroptosis is a regulated cell death nexus linking metabolism, redox biology and diseases including cancer. The aim of the present study was to identify a ferroptosis-related gene prognostic signature for stomach adenocarcinoma (STAD) by systematic analysis of transcriptional profiles from The Cancer Genome Atlas (TCGA), GEO and a clinical cohort from our centre. We developed a predictive model based on three ferroptosis-related genes (CHAC1, NOX4 and HIF1A), gene expression data and corresponding clinical outcomes were obtained from the TCGA database, and the reliability of this model was verified with GSE15459 and 51 queues in our centre. ROC curve showed better predictive ability using the risk score. Immune cell enrichment analysis demonstrated that the types of immune cells and their expression levels in the high-risk group were significantly different from those in the low-risk group. The experimental results confirmed that NOX4 was upregulated and CHAC1 was downregulated in the STAD tissues compared with the normal stomach mucosal tissues (p < 0.05). In sum, the ferroptosis-related gene signature can accurately predict the outcomes of patients with STAD, providing valuable insights for personalized treatment. As the signature also has relevance to the immune characteristics, it may help improve the efficacy of personalized immunotherapy.

摘要

铁死亡是一种连接代谢、氧化还原生物学和包括癌症在内的多种疾病的调控性细胞死亡枢纽。本研究的目的是通过对来自癌症基因组图谱(TCGA)、GEO 和我们中心的临床队列的转录谱进行系统分析,鉴定胃腺癌(STAD)的铁死亡相关基因预后特征。我们基于三个铁死亡相关基因(CHAC1、NOX4 和 HIF1A)开发了一个预测模型,从 TCGA 数据库中获得了基因表达数据和相应的临床结局,并使用 GSE15459 和我们中心的 51 个队列验证了该模型的可靠性。ROC 曲线显示使用风险评分具有更好的预测能力。免疫细胞富集分析表明,高危组的免疫细胞类型及其表达水平与低危组有显著差异。实验结果证实,与正常胃黏膜组织相比,STAD 组织中 NOX4 上调,CHAC1 下调(p<0.05)。总之,铁死亡相关基因特征可准确预测 STAD 患者的预后,为个体化治疗提供有价值的见解。由于该特征与免疫特征相关,它可能有助于提高个体化免疫治疗的疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a6/8831942/c55bfc716d0b/JCMM-26-1183-g006.jpg
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