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作 者:黄芳畅 朱鑫 严军[1] 梁兴龙 HUANG Fangchang;ZHU Xin;YAN Jun;LIANG Xinglong(Department of Dermatology,Maoming People's Hospital,Maoming 525000,China)
机构地区:[1]茂名市人民医院皮肤科,525000
出 处:《浙江医学》2025年第8期828-833,I0007,共7页Zhejiang Medical Journal
基 金:茂名市科技计划立项项目(2024074)。
摘 要:目的通过生物信息学分析探索基底细胞癌(BCC)中差异表达的铁死亡相关基因(DE-FRGs)。方法在基因表达综合数据库中筛选目标基因芯片GSE7553,并从FerrDb数据库下载铁死亡相关基因(FRGs)数据集。利用GEO2R分析识别GSE7553数据集中的差异表达基因(DEGs)。通过韦恩图分析得出DE-FRGs。对DE-FRGs进行基因本体论和京都基因与基因组百科全书(KEGG)富集分析,并利用基因/蛋白质相互作用检索工具分析基因的蛋白交互作用。使用Cytoscape软件构建蛋白质-蛋白质相互作用网络,最后利用cytoHubba插件筛选核心基因。结果共筛选出51个参与BCC发生与进展的DE-FRGs,其在细胞对化学应激、氧化应激和金属离子反应中显著富集。KEGG分析显示DE-FRGs主要涉及癌症中的微小RNA和转录失调、铁死亡等方面。通过cytoHubba插件最终确定4个核心基因:CD44、雄激素受体、锌指E-box装订同源盒1和溶质载体家族11成员2。结论本研究通过生物信息学分析初步鉴定出4个DE-FRGs,可作为BCC的诊断标志物和治疗靶点,为未来进一步研究BCC的诊断与治疗提供新的方向。Objective To explore differentially expressed ferroptosis-related genes(DE-FRGs)in basal cell carcinoma(BCC)through bioinformatics analysis.Methods The target gene chip GSE7553 was selected from the Gene Expression Omnibus database,and the ferroptosis-related genes(FRGs)were downloaded from the FerrDb database.Differentially expression genes(DEGs)in the GSE7553 dataset were identified using GEO2R.DE-FRGs were determined through Venn diagram analysis.Gene ontology and Kyoto encyclopaedia of genes and genomes(KEGG)enrichment analyses of DE-FRGs were conducted,and the protein interactions of the genes were analyzed using search tool for the retrieval of interacting genes/proteins.Protein-protein interaction network was constructed by Cytoscape software,followed by identification of core genes using the cytoHubba plugin.Results A total of 51 DE-FRGs involved in the occurrence and progres-sion of BCC were identified.These genes were significantly enriched in cellular responses to chemical stress,oxidative stress,and response to metal ions.KEGG analysis indicated that DE-FRGs are mainly associated with microRNA,transcriptional dysregulation in cancer,and ferroptosis.Using the cytoHubba plugin,four core genes were ultimately identified:CD44,androgen receptor,zinc finger E-box-binding homeobox 1,solute carrier family 11 member 2.Conclusion This study preliminarily identified four DE-FRGs through bioinformatics analysis,suggesting their potential as diagnostic biomarkers and therapeutic targets for BCC,thereby paving the way for future research directions in its diagnosis and treatment.
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