山东大学耳鼻喉眼学报 ›› 2023, Vol. 37 ›› Issue (5): 99-106.doi: 10.6040/j.issn.1673-3770.0.2022.278
郝红1,陈钢2,王林娥2
HAO Hong1, CHEN Gang2, WANG Lin’e2
摘要: 目的 研究使用生物信息学的方法来获得腺样囊性癌(adenoid cystic carcinoma, ACC)相关的关键基因,探寻其病因和发病机制。 方法 通过GEO数据库中GSE36820和GSE88804数据集获取腺样囊性癌的基因表达谱,筛选出腺样囊性癌组织与正常涎膜组织共同差异表达基因(DEGs),对DEGs进行基因本体论(GO)分析、京都基因与基因组百科全书(KEGG)信号通路分析,并通过String在线软件和Cytoscape软件构建DEGs蛋白互作网络,经cytoHubba获得关键基因,在GSE59702数据集对关键基因表达进行验证。 结果 GO分析在生物过程中包括多细胞生物的体内平衡、抗菌体液反应、视网膜内稳态;KEGG通路富集于唾液分泌、PPAR信号通路和酪氨酸代谢;GSEA分析基因在细胞循环有丝分裂、TP53介导的转录调节、Rho家族的鸟苷三磷酸酶介导的信号、肿瘤通路和M期富集。在PPI网络筛选出前10个关键基因,对关键基因表达验证显示,DTL、CENPU、BUB1B、ANLN、CENPF、TOP2A的mRNA表达水平在肿瘤组织中显著升高,而CDK1、NUSAP1、CCNB2和KIF11的mRNA表达无统计学意义。 结论 本研究中发现的关键基因可能参与ACC的发病机制,为获得新的诊断方法和治疗手段提供研究方向。
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