Wan Guang Yang
Department of Urology, the People's Hospital of Baise, Baise, China.
Transl Androl Urol. 2023 Feb 28;12(2):249-260. doi: 10.21037/tau-22-800. Epub 2023 Feb 27.
Although we have a good understanding of the diagnosis and treatment of pheochromocytoma and paraganglioma (PPGL), the underlying pathogenesis and molecular pathways of PPGL need to be further studied. This study aimed to use bioinformatics to analyze the role of immune-related genes (IRGs) in the pathogenesis of PPGL.
GSE19422 and GSE60459 microarray data were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using the "limma" package in R, and genes overlapping with IRGs were screened using the "VennDiagram" package. A protein-protein interaction (PPI) network was constructed in the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, and the core genes were identified by Cytoscape, followed by enrichment analysis and receiver operating characteristic (ROC) curve analysis to evaluate the diagnostic efficacy of the core genes. In addition, the level of immune cell infiltration of PPGL was analyzed and the target drug of the core gene was predicted.
A total of 1,105 DEGs were identified from the 2 datasets, of which 94 were IRGs, suggesting that the occurrence of PPGL involved immune-related pathways. Through PPI and Cytoscape, a total of 2 core genes: fibroblast growth factor 2 (), FYN proto-oncogene (), and vascular cell adhesion molecule 1 () were identified, and the ROC curve showed that these 3 core genes had good efficacy in the diagnosis of PPGL, and more than 50 potential therapeutic drugs could be predicted based on these 3 core genes. Subsequent immunoinfiltration analysis showed that mast cells activated were significantly elevated in patients with PPGL, negatively correlated with macrophages M2, and positively correlated with the level of dendritic cells activated.
This study found that immunity is closely related to the occurrence of PPGL, and that , , and may be potential biomarkers and therapeutic targets of PPGL.
尽管我们对嗜铬细胞瘤和副神经节瘤(PPGL)的诊断和治疗有了较好的理解,但PPGL的潜在发病机制和分子途径仍需进一步研究。本研究旨在利用生物信息学分析免疫相关基因(IRGs)在PPGL发病机制中的作用。
从基因表达综合数据库(GEO)中获取GSE19422和GSE60459微阵列数据。使用R语言中的“limma”包识别差异表达基因(DEGs),并使用“VennDiagram”包筛选与IRGs重叠的基因。在搜索相互作用基因/蛋白质的工具(STRING)数据库中构建蛋白质-蛋白质相互作用(PPI)网络,并通过Cytoscape识别核心基因,随后进行富集分析和受试者工作特征(ROC)曲线分析,以评估核心基因的诊断效能。此外,分析了PPGL的免疫细胞浸润水平,并预测了核心基因的靶向药物。
从这两个数据集中共鉴定出1105个DEGs,其中94个为IRGs,表明PPGL的发生涉及免疫相关途径。通过PPI和Cytoscape,共鉴定出2个核心基因:成纤维细胞生长因子2(FGF2)、FYN原癌基因(FYN)和血管细胞粘附分子1(VCAM1),ROC曲线显示这3个核心基因在PPGL诊断中具有良好的效能,并且基于这3个核心基因可预测50多种潜在治疗药物。随后的免疫浸润分析表明,PPGL患者中活化的肥大细胞显著升高,与M2巨噬细胞呈负相关,与活化的树突状细胞水平呈正相关。
本研究发现免疫与PPGL的发生密切相关,FGF2、FYN和VCAM1可能是PPGL的潜在生物标志物和治疗靶点。