基于GEO数据库筛选子宫平滑肌肉瘤与平滑肌瘤差异基因

Screening of differential genes between uterine leiomyosarcoma and leiomyoma in GEO database

目的 筛选GEO数据库关键基因,结合临床样本探讨子宫平滑肌肉瘤的发生机制,寻找新的分子标志物。方法 利用GEO数据库中的GSE207350和GSE205596数据集筛选差异表达基因(DEGs),进行GO、KEGG、DO和Reactome富集分析。构建蛋白互作网络(PPI),筛选关键枢纽基因,选取128例临床病理样本对筛选结果进行转录及蛋白水平验证。结果 从两个数据集中共鉴定出10 397个DEGs,包括5 875个上调和4 522个下调DEGs。生物学功能富集分析揭示,这些DEGs主要与细胞增殖、细胞黏附和细胞周期调控等过程相关。重点分析发现12个核心枢纽基因,包括ACTG2、IGF1、CDH11等。qPCR实验表明,CDH11和SFRP4在子宫平滑肌肉瘤组织中的表达显著降低,ACTG2表达显著升高;但蛋白水平上仅SFRP4在子宫平滑肌肉瘤组织中的表达显著降低。结论 SFRP4基因在子宫平滑肌肉瘤的发展中起重要作用,可能成为潜在的生物标志物,为诊断和治疗提供了新靶点。

Objective This study aims to uncover the pathogenesis of uterine leiomyosarcoma by identifying key genes via the GEO database and clinical samples,offering new molecular markers for diagnosis and treatment.Methods The study extracted differential expression genes(DEGs)from GEO datasets GSE207350 and GSE205596,followed by GO,KEGG,DO,and Reactome analyses for enrichment in key biological functions and pathways.A protein-protein interaction(PPI)network was constructed using STRING and Cytoscape to identify hub genes,which were validated with 128 clinical pathological specimens.Results The two datasets analysis identified 10397 DEGs,with 5875 upregulated and 4522 downregulated genes.Biological functional enrichment analysis reveals that these DEGs were mainly related to cell proliferation,adhesion,and cycle regulation.Twelve central hub genes,including ACTG2,IGF1,and CDH11,were highlighted.qPCR experiments showed significantly reduced CDH11 and SFRP4 expression and increased ACTG2 expression in uterine leiomyosarcoma tissues.However,only SFRP4 showed a significant reduction at the protein level.Conclusion This study elucidates the critical role of SFRP4 in the progression of uterine leiomyosarcoma,underscoring its potential utility as a biomarker.These findings present promising molecular targets for the advancement of diagnostic and therapeutic strategies.