Exploration and validation of m7G-related genes as signatures in the immune microenvironment and prognostic indicators in low-grade glioma.

Objectives: Currently, an increasing number of studies are focusing on the impact of m7G modification in cancer. This study aims to investigate the prognostic value of m7G-related genes in low-grade glioma (LGG).
Methods: LGG samples were obtained from the CGGA database, and normal samples were obtained from GTEx. Differentially expressed m7G-related genes were identified, and genes highly associated with macrophage M2 in LGG patients were identified by immuno-infiltration and WGCNA analysis. The intersection of differentially expressed m7G-related genes and macrophage M2-associated genes yielded candidate genes, and hub genes were identified using 5 algorithms in CytoHubba. Enrichment analysis verified the relevant pathways of hub genes, and their performance in tumor classification was evaluated.
Results: A total of 3329 differentially expressed m7G-related genes were identified. 1289 genes were highly associated with macrophage M2 in LGG patients. The intersection of m7G-related genes and results in WGCNA yielded 840 candidate genes, and six hub genes (STXBP1, CPLX1, PAB3A, APBA1, RIMS1, and GRIN2B) were identified. Hub genes were enriched in synaptic transmission-related pathways and showed good performance for tumor classification. There were significant differences in survival levels between clusters.
Conclusions: The identified m7G-related genes may provide new insight into the treatment and prognosis of LGG.
Competing Interests: None.
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