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Analysis of expression and clinical significance of METTL7B in glioma tissues based on bioinformatics
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Abstract:
Objective: To investigate the expression of methyltransferase-like protein 7B (METTL7B) in glioma tissues and its correlation with clinicopathological features and prognosis of patients. Methods: The differential expression of METTL7B gene in glioma and normal brain tissues was analyzed based on the glioma data in CGGA database and the normal brain tissue data in the GTEx database, which was verified using the GEPIA database and immunohistochemical staining. Kaplan-Meier survival analysis, univariate and multivariate Cox analyses and ROC curve analysis were used to evaluate the prognostic value of METTL7B for the patients with glioma. CGGA database was used to analyze the correlation between the METTL7B expression and the clinicopathological characteristics of patients with glioma. CIBERSORT and TIMER databases were adopted to analyze the tumor immune cell infiltration.The genes closely related to METTL7B were identified through gene co-expression analysis. KEGG pathway enrichment analysis and GO function enrichment analysis were also performed. Results: METTL7B was significantly upregulated in glioma tissues (all P<0.05), and its high expression was an independent adverse prognostic factor for glioma patients. High METTL7B expression was significantly related to old age (>41 years old), advanced tumor grade, tumor recurrence or secondary tumors, IDH wild-type, 1p19q non-codeletion and tumor malignant pathology (all P<0.01). METTL7B expression was related to immune cells, such as B cells, CD4+T cells, CD8+ T cells, monocytes, neutrophils, macrophages, and activated mast cells (all P<0.05). The KEGG pathway enrichment and the GO function analysis showed that tumor-related signaling pathways and multiple immune responses were significantly enriched in the METTL7B high expression phenotypes (all P<0.05). Gene co-expression analysis results showed that METTL7B expression was positively correlated with the expression of TNFRSF12A, CHI3L1 and EMP3 (r=0.807, 0.804, 0.783, all P<0.01), but negatively correlated with the expression of ELFN2, REPS2, and SHANK2 (r=-0.642,-0.627,-0.602, all P<0.01). Conclusion: The upregulation of METTL7B expression in glioma tissues is an indicator of poor prognosis, which is related to tumor immune infiltration.
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