Prognostic significance of carboxypeptidase Q and its methylation in glioblastoma

羧肽酶Q及其甲基化在胶质母细胞瘤中的预后意义

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Abstract

BACKGROUND: Glioblastoma (GBM) is a highly aggressive intracranial malignant tumor. The role of carboxypeptidase Q (CPQ) in GBM remains unknown. This study was to investigate the prognostic significance of CPQ and its methylation in GBM. METHODS: We collected data from The Cancer Genome Atlas (TCGA)-GBM database and analyzed the different expression of CPQ in GBM tissues and normal tissues. Then we explored the correlation of CPQ mRNA expression and DNA methylation, and confirmed the prognostic significance of them based on six additional datasets from TCGA, The Chinese Glioma Genome Atlas (CGGA) and Gene Expression Omnibus (GEO) databases. Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes analysis were utilized to investigate the biological function of CPQ in GBM. Furthermore, we determined the association of CPQ expression and immune cell infiltration, immune markers and tumor microenvironment using different bioinformatic algorithms. R (version 4.1) and GraphPad Prism (version 8.0) were used to analyze the data. RESULTS: CPQ mRNA expression in GBM tissues was significantly higher than that in normal brain tissues. DNA methylation of CPQ was negatively correlated with its expression. Patients with low CPQ expression or higher CPQ methylation level had remarkably better overall survival (OS). The TOP20 biological processes relevant to the differentially expressed genes between high and low CPQ patients were almost all related to immunity. And the differentially expressed genes were involved in several immune-related signaling pathways. CPQ mRNA expression was outstandingly correlated with CD8(+) T cells, neutrophils, macrophages and dendritic cell (DC) infiltration. Moreover, CPQ expression was meaningfully associated with the ESTIMATE score and almost all immunomodulatory genes. CONCLUSIONS: Low CPQ expression and high methylation are associated with longer OS. CPQ is a promising biomarker for predicting prognosis in patients with GBM.

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