[IgG Fc binding protein (FCGBP) as a prognostic marker of low-grade glioma and its correlation analysis with immune infiltration].

免疫系统 生物 胶质瘤 癌症研究 STAT蛋白 趋化因子 免疫检查点 基因 免疫疗法 车站3 免疫学 遗传学
作者
Qiao Liu,Jiarui Zhang,Fuqin Zhang,Wei Zhang,Li Gong
出处
期刊:PubMed 卷期号:39 (8): 686-692
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Objective To identify the possibility of IgG Fc binding protein (FCGBP) acting as a prognostic marker of low-grade glioma (LGG) and its correlation with immune infiltration. Methods The expression of FCGBP was analyzed in pan-cancer using The Cancer Genome Atlas (TCGA), Genotypic tissue expression (GTEX), and China Glioma Genome Atlas (CGGA) database. Then, GSE15824 and GSE68848 datasets were selected for further verification. And gene expression Profile Interaction analysis (GEPIA) database and R language were used to analyze the relationship between FCGBP and survival prognosis. Metascape and GSEA were used for functional annotation and enrichment analysis. Finally, the expression of FCGBP gene in LGG immune microenvironment and its correlation with immune cells were analyzed by TIMER database. Results FCGBP was highly expressed in LGG tissues, indicating poor prognosis of LGG patients. Receiver operating characteristic (ROC) curve analysis and COX analysis showed that FCGBP was an independent risk factor for the prognosis of LGG. Moreover, Gene Ontology (GO) demonstrated that FCGBP was involved in cell metabolism, localization, positive, and negative regulation of biological processes, as well as biological adhesion, response to viral and microbial stimulation, and inflammation. GSEA pathway enrichment analysis showed that FCGBP was significantly correlated with Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway, Toll-like receptor (TLR) pathway, chemokine pathway, and P53 pathway. In addition, FCGBP expression was positively correlated with the expression of most immune cells in the immune microenvironment of LGG. Conclusion The high expression of FCGBP in LGG is a risk factor for survival and prognosis, and it is positively correlated with the expression of immune cells.

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