[食管癌中高表达的铁突变抑制基因可抑制肿瘤细胞的铁突变]。

Y Wang, P Zhang
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引用次数: 0

摘要

目的方法:从基因表达总库(Gene Expression Omnibus,GEO)下载食管鳞状细胞癌(ESCC)数据集GSE161533和GSE20347,使用R语言识别差异表达基因(DEGs):从基因表达总库(GEO)下载ESCC数据集GSE161533和GSE20347,使用R软件识别差异表达基因(DEGs)。将DEGs与FerrDb中的铁变态相关基因交叉后得到的ESCC铁变态相关基因通过GO和KEGG分析、蛋白-蛋白相互作用(PPI)网络分析以及Cytoscape的核心基因鉴定进行了分析。利用 TCGA 数据库验证了鉴定出的铁突变抑制基因,并在培养的正常食管细胞和 ESCC 细胞中利用 RT-qPCR 检测了这些基因的表达水平。用 siRNA 下调 ESCC 细胞中的 6 个铁变态抑制基因(RRM2、GCLC、TFRC、TXN、SLC7A11 和 EZH2),并用 CCK8 检测法和流式细胞术评估细胞增殖和凋亡的变化;用 Western 印迹法检测细胞铁变态过程的变化:结果:我们共发现了58个ESCC铁变态相关基因,它们涉及谷胱甘肽跨膜转运、铁离子转运、细胞凋亡等生物学过程以及铁变态、谷胱甘肽代谢和抗叶酸途径。PPI 网络包括 54 个节点和 74 条边,聚类系数为 0.522,PPI 富集 PConclusion:ESCC中高表达的铁代谢抑制基因可能会导致铁代谢进程的停滞,从而促进肿瘤的发展,而抑制这些基因可以恢复铁代谢并促进细胞凋亡,这表明它们具有作为ESCC潜在治疗靶点的价值。
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[Ferroptosis suppressor genes are highly expressed in esophageal cancer to inhibit tumor cell ferroptosis].

Objective: To explore the role of ferroptosis-related genes in regulating ferroptosis of esophageal squamous cell carcinoma (ESCC).

Methods: ESCC datasets GSE161533 and GSE20347 were downloaded from the Gene Expression Omnibus (GEO) to identify the differentially expressed genes (DEGs) using R software. ESCC ferroptosis-related genes obtained by intersecting the DEGs with ferroptosis-related genes from FerrDb were analyzed using GO and KEGG analyses, protein-protein interaction (PPI) network analysis, and core gene identification through Cytoscape. The identified ferroptosis suppressor genes were validated using TCGA database, and their expression levels were detected using RT-qPCR in cultured normal esophageal cells and ESCC cells. Six ferroptosis suppressor genes (RRM2, GCLC, TFRC, TXN, SLC7A11, and EZH2) were downregulated with siRNA in ESCC cells, and the changes in cell proliferation and apoptosis were assessed with CCK8 assay and flow cytometry; Western blotting was performed to examine the changes in ferroptosis progression of the cells.

Results: We identified a total of 58 ESCC ferroptosis-related genes, which involved such biological processes as glutathione transmembrane transport, iron ion transport, and apoptosis and the ferroptosis, glutathione metabolism, and antifolate resistance pathways. The PPI network included 54 nodes and 74 edges with a clustering coefficient of 0.522 and PPI enrichment P<0.001. Cytoscape identified 6 core ferroptosis suppressor genes (RRM2, TFRC, TXN, EZH2, SLC7A11, and GCLC), which were highly expressed in ESCC tissues in the TCGA dataset and in ESCC cell lines. Downregulating these genes in ESCC TE1 cells significantly inhibited cell proliferation, promoted cell apoptosis, reduced the expression levels of ferroptosis markers GPX4 and FIH1, and increased the expression of ACSL4.

Conclusion: High expression of ferroptosis suppressor genes in ESCC may cause arrest of ferroptosis progression to facilitate tumor development, and inhibiting these genes can restore ferroptosis and promote cell apoptosis, suggesting their value as potential therapeutic targets for ESCC.

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