首页|基于生物信息学筛选与胶质母细胞瘤预后及免疫相关的铁死亡基因

基于生物信息学筛选与胶质母细胞瘤预后及免疫相关的铁死亡基因

Screening ferroptosis associated with glioblastoma prognosis and immunity based on bioinformatics

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目的 探讨胶质母细胞瘤(GBM)中铁死亡的分子机制,为确定新的治疗靶点提供思路.方法 从基因表达综合数据库(GEO)中选取数据集GSE108474 并通过 GEO2R获取GBM差异表达基因,与铁死亡数据库(FerrDb)中基因集对比,获得铁死亡相关差异基因;利用 DAVID 数据库进行GO和KEGG富集分析;利用String网站创建蛋白互作(PPI)网络;利用Cytoscape软件确认网络中连接度高的枢纽基因;利用TIMER网站进行预后和免疫浸润分析;利用GEPIA网站进行RNA表达量和基因相关性分析;利用HPA数据库分析枢纽基因蛋白表达差异;利用TISIDB数据库进行肿瘤免疫特征相关性分析;运用实时荧光定量 PCR 在 GBM 细胞A172 和U251MG与正常星形胶质细胞HA1800 间比较枢纽基因的mRNA差异.结果 5 331 个差异表达基因中有 114个铁死亡相关基因;GO和KEGG富集分析显示 114 个基因可能在正调控基因表达等方面发挥作用,并通过铁死亡和自噬-动物等途径影响肿瘤进展;114 个基因构成的PPI网络中确定了 10 个枢纽基因,其中细胞黏附分子 44(CD44)、鼠双微体基因 2(MDM2)和信号转导子和转录激活子 3(STAT3)高表达的 GBM 患者生存率较低;GBM 细胞中CD44、MDM2 和STAT3 的mRNA表达高于正常星形胶质细胞;高级别胶质瘤组织中CD44、MDM2 和STAT3 的蛋白表达高于正常脑组织;GBM中 3 个基因的表达均与铁死亡呈负相关;免疫浸润分析显示,GBM中CD44、STAT3 与噬中性粒细胞、CD4+T细胞和树突状细胞的浸润相关,MDM2 与树突状细胞和CD8+T细胞的浸润相关,并且 3 个基因与多种趋化因子以及趋化因子受体的表达相关.结论 CD44、MDM2和STAT3 可能在GBM铁死亡及肿瘤免疫调节过程中发挥作用,有望成为GBM的潜在治疗靶点.
Objective To investigate the molecular mechanism of ferroptosis in glioblastoma(GBM)and to provide insights for identifying new therapeutic targets.Methods GSE108474 was selected from gene expression omnibus(GEO)database and differentially expressed genes(DEGs)in GBM were obtained by using GEO2R,compared with the gene set in the Ferroptosis database(FerrDb)to identify ferroptosis-related gene.GO and KEGG enrich-ment analyses were conducted using DAVID database.A protein-protein interaction network was created using String website.Hub genes with high connectivity were confirmed using Cytoscape software.Prognostic and immune infiltration analyses were performed using TIMER website.RNA expression levels and gene correlation analyses were carried out using GEPIA website.Differential expression of hub gene proteins was analyzed by using the HPA database.Tumor immune characteristic correlations were examined using TISIDB database.Differences in mRNA expression of hub genes between tumor cells A172 and U251MG and normal astrocytes HA1800 were compared u-sing the quantitative real-time PCR.Results Out of 5 331 differentially expressed genes,114 were related to fer-roptosis.GO and KEGG enrichment analysis suggested that these 114 genes might play roles in positive regulation of gene expression,and affect tumor progression through ferroptosis and autophagy pathways.10 hub genes were i-dentified in the protein-protein interaction network,among which cluster of differentiation 44(CD44),murine double minute 2(MDM2)and signal transducer and activator of transcription 3(STAT3)were found to be highly expressed in tumors with lower survival rates.CD44,MDM2 and STAT3 mRNA expression were higher in GBM cells compared to normal cells.Protein expression of CD44,MDM2 and STAT3 was higher in high-grade glioma tis-sues than that in normal tissues.The expression of three genes in the tumor was negatively correlated with ferropto-sis.Immune infiltration analysis revealed that CD44,MDM2 and STAT3 in the tumor were related to the infiltration of neutrophils,CD4+T cells,and dendritic cells,and the expression of three genes was related to various chemo-kines and their receptors.Conclusion CD44,MDM2 and STAT3 may play a role in tumor ferroptosis and immune regulation,which have the potential to become a therapeutic target for GBM.

glioblastomaferroptosisbioinformaticsprognosis analysisimmune infiltrationchemotactic factor

孙皓、赵志娟、孟莲、刘春霞

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石河子大学医学院病理学系,石河子 832002

石河子大学医学院第一附属医院病理科,石河子 832002

广州医科大学附属第二医院病理科,广州 510260

胶质母细胞瘤 铁死亡 生物信息学 预后分析 免疫浸润 趋化因子

国家自然科学基金国家自然科学基金

8196048582060487

2024

安徽医科大学学报
安徽医科大学

安徽医科大学学报

CSTPCD北大核心
影响因子:1.095
ISSN:1000-1492
年,卷(期):2024.59(3)
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