Journal
FRONTIERS IN ONCOLOGY
Volume 11, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2021.760892
Keywords
meningioma; immune infiltration; m(6)A; WGCNA; molecular subtype
Categories
Funding
- National Key R&D Program of China [2018YFC1312600, 2018YFC1312604]
- National Natural Science Foundation of China [82072788, 81772674]
- Shanghai Sailing Program [20YF1403900]
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This study investigated the association between m(6)A regulator expression and meningioma molecular subtypes and immune infiltration. Two meningioma clusters were identified based on the expression of 19 m(6)A regulators, and novel molecular subtypes were defined using prognostic hub gene expression. The findings suggest that m(6)A regulator gene expression may serve as a novel prognostic marker in meningioma.
BackgroundMeningiomas are the most common primary intracranial tumors in adults. According to the 2021 World Health Organization (WHO) classification of central nervous system tumors, approximately 80% of meningiomas are WHO grade 1, that is, histopathologically benign, whereas about 20% are WHO grade 2 or grade 3, showing signs of atypia or malignancy. The dysregulation of N6-methylation (m(6)A) regulators is associated with disorders of diverse critical biological processes in human cancer. This study aimed to explore whether m(6)A regulator expression was associated with meningioma molecular subtypes and immune infiltration. MethodsWe evaluated the m(6)A modification patterns of 160 meningioma samples based on 19 m(6)A regulators and correlated them with immune infiltration characteristics. Novel molecular subtypes were defined based on prognostic hub gene expression. ResultsTwo meningioma clusters were identified based on the expression of 19 m(6)A regulators. In cluster 1, 607 differentially expressed genes (DEGs) were upregulated and 519 were downregulated. A total of 1,126 DEGs comprised three gene expression modules characterized by turquoise, blue, and gray. Functional annotation suggested that the turquoise module was involved in Wnt-related and other important cancer-related pathways. We identified 32 hub genes in this module by constructing a protein-protein interaction network. The meningioma samples were divided into two molecular subtypes. EPN1, EXOSC4, H2AX, and MZT2B not only showed significant differences between meningioma molecular subtypes but also had the potential to be the marker genes of specific meningioma subtypes. Conclusionm(6)A regulator gene expression may be a novel prognostic marker in meningioma.
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