海南医科大学学报2025，Vol.31Issue(14)：1057-1068,12.DOI:10.13210/j.cnki.jhmu.20241216.001
神经胶质瘤中自噬和铁死亡相关特征基因的生物信息学分析
Bioinformatics analysis of autophagy and ferroptosis related characteristic genes in glioma
摘要
Abstract
Objective:To identify the potential functions of differentially characteristic genes and investigate new biomarkers and potential therapeutic targets for revealing the close relationship between autophagy and ferroptosis and glioma.Methods:Im-mune cell invasion was assessed after combining four glioma datasets from the GEO database.Subsequently,the related genes in-tersected with the autophagy and ferroptosis databases,and the differential genes were screened out for biological function predic-tion.The characteristic genes of autophagy-ferroptosis associated with glioma were then found using two machine learning meth-ods.The potential value of these characteristic genes was then determined using differential analysis,ROC curve,immunohisto-chemical(IHC)analysis and the creation of a miRNA-gene regulatory network.Results:Based on bioinformatics analysis,1 376 differentially expressed genes(DEGs)associated with glioma were identified.Additionally,immune cell infiltration study revealed a larger percentage of CD4+T cells,monocytes,and eosinophils in glioma.Then,by intersecting DEGs and autophagy-ferroptosis-related genes,12 differentially expressed autophagy-ferroptosis genes(DEAFGs)were screened.GO and KEGG analyses revealed that these DEAFGs were primarily enriched in pathways related to infectious viral infection,cancer-related pathways,and ubiquitin-mediated proteolysis.Afterwards,six autophagy and ferroptosis characteristic genes linked to glioma were ultimately discovered using two machine learning techniques.ROC curve analysis revealed that the AUC values of these characteristic genes ranged from 0.723 to 0.867,with five of them being up-regulated(HIF1A,TNFAIP3,YAP1,BIRC5,AIM2)and one down-regulated(NEDD4L).IHC analysis showed that the expression levels of YAP1 and BIRC5 in glio-ma were significantly higher than those in normal brain tissues.The miRNA-genes regulatory network suggests that related miR-NAs are involved in the regulation of characteristic genes and play a potential role in glioma.Conclusion:Six characteristic genes associated with autophagy and ferroptosis in glioma may play roles in prognosis and diagnosis,and they may be explored and em-ployed as clinical treatment targets in the future.关键词
神经胶质瘤/自噬/铁死亡/生物信息学/特征基因Key words
Glioma/Autophagy/Ferroptosis/Bioinformatics/Characteristic genes分类
医药卫生引用本文复制引用
杨小红,陈旭永,应卓鹏,方贾栩,战跃福,关莹,陈建强..神经胶质瘤中自噬和铁死亡相关特征基因的生物信息学分析[J].海南医科大学学报,2025,31(14):1057-1068,12.基金项目
This study was supported by the National Natural Science Foundation of China(82260343),Key Research and Development Program of Hainan Province(ZDYF2023SHFZ142),General Project of Health Science and Technology Innovation in Hainan Province(WSJK2024MS136)and General Project of Hainan Natural Science Foundation(821RC692) 国家自然科学基金资助项目(82260343) （82260343）
海南省重点研发计划项目(ZDYF2023SHFZ142) （ZDYF2023SHFZ142）
海南省卫生健康科技创新面上项目(WSJK2024MS136) （WSJK2024MS136）
海南省自然科学基金面上项目(821RC692) （821RC692）
