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首页> 外文期刊>Cancer Management and Research >ICAM1 Regulates the Development of Gastric Cancer and May Be a Potential Biomarker for the Early Diagnosis and Prognosis of Gastric Cancer
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ICAM1 Regulates the Development of Gastric Cancer and May Be a Potential Biomarker for the Early Diagnosis and Prognosis of Gastric Cancer

机译:ICAM1调节胃癌的发展,可能是胃癌早期诊断和预后的潜在生物标志物

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Background: 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. Methods: 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. Results: 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. Conclusion: ICAM1 may therefore modulate tumor progression in GC, thus potentially representing a valuable prognostic and diagnostic biomarker of EGC.
机译:背景:胃癌(GC)是影响消化系统的最常见的癌症形式之一。该研究寻求识别调节早期GC(EGC)的集线基因,以探讨其对患者的早期诊断和预后的潜力。方法:我们利用来自基因表达式omnibus数据库(GSE55696)的公开可用的数据集。使用Limma软件比较EGC与基因表达相对于基因表达的差异。鉴定的差异表达基因(DEGS)对基因本体(GO)和途径富集分析与DAVID应用分析,并且串网站和细胞展软件用于构建包含这些次数的蛋白质 - 蛋白质相互作用(PPI)网络。该网络又用于识别选定的DEG之间的集线器基因,这些级数与Kaplan-Meier绘图仪数据库分析。此外,蛋白质印迹,QRT-PCR,免疫组织化学和Ualcan都是用来验证这些基因表达与GC患者预后的关系。结果:共鉴定了482次,具有GO分析,表明与癌症发育相关的基因表达的增加。途径分析还表明这些基因在某些癌症相关途径中起作用。 PPI网络突出了四个潜在的轮毂基因,其中只有ICAM1与GC患者预后的差。 ICAM1和GC患者结果之间的这种联系通过Ualcan,Western印迹,免疫组织化学和QRT-PCR确认。结论:因此ICAM1可以调节GC中的肿瘤进展,从而可能代表EGC的有价值的预后和诊断生物标志物。

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