Chen Songda, Pan Shan, Wu Huijie, Zhou Jingyuan, Huang Yueli, Wang Shuai, Liu Aiqun
Department of Endoscopy, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Department of Colorectal Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Cancer Manag Res. 2020 Mar 2;12:1523-1534. doi: 10.2147/CMAR.S237443. eCollection 2020.
Gastric cancer (GC) is among the most common forms of cancer affecting the digestive system. This study sought to identify hub genes regulating early GC (EGC) in order to explore their potential for early diagnosis and prognosis of patients.
We utilized a publically available dataset from the Gene Expression Omnibus database (GSE55696). Differences between EGC and LGIN with respect to gene expression were compared using the limma software. Identified differentially expressed genes (DEGs) were subjected to gene ontology (GO) and pathway enrichment analyses with the DAVID application, and the STRING website and Cytoscape software were used to construct a protein-protein interaction (PPI) network incorporating these DEGs. This network was in turn used to identify hub genes among selected DEGs, which were analyzed with the Kaplan-Meier Plotter database. In addition, Western blotting, qRT-PCR, immunohistochemistry, and UALCAN were all employed to validate the relationship between the expression of these genes and GC patient prognosis.
A total of 482 DEGs were identified, with GO analyses indicating an increase in the expression of genes linked with the development of cancer. Pathway analyses also indicated that these genes play a role in certain cancer-related pathways. The PPI network highlighted four potential hub genes, of which only ICAM1 was linked to a poor GC patient prognosis. This link between ICAM1 and GC patient outcomes was confirmed via UALCAN, Western blotting, immunohistochemistry, and qRT-PCR.
ICAM1 may therefore modulate tumor progression in GC, thus potentially representing a valuable prognostic and diagnostic biomarker of EGC.
胃癌（GC）是影响消化系统的最常见癌症形式之一。本研究旨在鉴定调控早期胃癌（EGC）的枢纽基因，以探索其在患者早期诊断和预后方面的潜力。
我们利用了来自基因表达综合数据库（GSE55696）的公开可用数据集。使用limma软件比较了EGC和低级别上皮内瘤变（LGIN）在基因表达方面的差异。对鉴定出的差异表达基因（DEGs）使用DAVID应用程序进行基因本体（GO）和通路富集分析，并使用STRING网站和Cytoscape软件构建包含这些DEGs的蛋白质-蛋白质相互作用（PPI）网络。该网络进而用于在选定的DEGs中鉴定枢纽基因，并使用Kaplan-Meier Plotter数据库对其进行分析。此外，还采用蛋白质免疫印迹法、定量逆转录聚合酶链反应（qRT-PCR）、免疫组织化学和UALCAN来验证这些基因的表达与GC患者预后之间的关系。
共鉴定出482个DEGs，GO分析表明与癌症发展相关的基因表达增加。通路分析还表明这些基因在某些癌症相关通路中起作用。PPI网络突出显示了四个潜在的枢纽基因，其中只有细胞间黏附分子1（ICAM1）与GC患者的不良预后相关。通过UALCAN、蛋白质免疫印迹法、免疫组织化学和qRT-PCR证实了ICAM1与GC患者预后之间的这种联系。
因此，ICAM1可能调节GC中的肿瘤进展，从而有可能成为EGC的有价值的预后和诊断生物标志物。
