TY -的A2 - Lu,林盟——王,Shuaiqun盟——徐,小玲盟——香港,魏PY - 2021 DA - 2021/04/16 TI -中心与肺腺癌相关的基因的识别基于生物信息学分析SP - 5550407六世- 2021 AB -肺腺癌(LUAD)是肺恶性肿瘤之一。然而，它的病理还没有被完全了解。本研究的目的是通过生物信息学方法鉴定与LUAD相关的中枢基因。本研究使用从GEO数据库下载的GSE116959、GSE74706和GSE85841三个基因表达数据集。利用limma包筛选与LUAD相关的差异表达基因(DEGs)。通过DAVID网站对DEGs进行基因本体(GO)和KEGG分析。通过STRING网站绘制差异表达基因的蛋白相互作用(protein-protein interaction, PPI)，并将结果导入Cytoscape中进行可视化。然后利用MCODE对PPI网络进行分析，利用cytoHubba找到评分大于5的模块。最后利用GEPIA数据库和UALCAN数据库对hub基因的存活情况进行验证和分析。我们从3个LUAD数据集中鉴定了67个上调基因和277个下调基因。 The results of GO analysis showed that the downregulated genes were significantly enriched in matrix adhesion and angiogenesis and upregulated differential genes were significantly enriched in cell adhesion and vascular development. KEGG pathway analysis showed that the differential genes of LUAD were significantly enriched in viral carcinogenesis and adhesion spots. The PPI network of differentially expressed genes consists of 269 nodes and 625 interactions. In addition, three modules with scores greater than 5 and seven hub genes, namely, MCM4, BIRC5, CDC20, CDC25C, FOXM1, GTSE1, and RFC4, playing an important role in the PPI network were screened out. In this study, we obtained the hub genes and pathways related to LUAD, revealing the molecular mechanism and pathogenesis of LUAD, which is helpful for the early detection of LUAD and provides a new idea for the treatment of LUAD. SN - 1748-670X UR - https://doi.org/10.1155/2021/5550407 DO - 10.1155/2021/5550407 JF - Computational and Mathematical Methods in Medicine PB - Hindawi KW - ER -