The N6-Methylandenosine-Related Gene as a Prognostic Biomarker Correlated With Cell Migration and Immune Cell Infiltrates in Low Grade Glioma.

Gliomas account for 75% of all primary malignant brain tumors in adults and are associated with high mortality. Emerging evidence has demonstrated that baculoviral inhibitor of apoptosis repeat containing 5 () plays a critical role in cell apoptosis and the progression of diverse cancers. However, no studies have yet focused on the immunological function and mechanisms of upstream regulation in the progression of low-grade gliomas (LGG). Here, we evaluated expression and clinical characteristics in people with LGG using the Chinese Glioma Genome Atlas, The Cancer Genome Atlas, Gene Expression Omnibus, Rembrandt, and Gravendeel databases. We used Kaplan-Meier statistics and receiver operating characteristic (ROC) curves to analyze the prognostic value of in LGG. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment terms were also explored to identify functional roles of . The Tumor Immune Estimation Resource (TIMER) and Tumor Immune System Interaction (TISIDB) databases were used to examine the correlation between expression and immune cell infiltration in LGG. The Genomics of Drug Sensitivity in Cancer (GDSC) and Cancer Therapeutics Response Portal (CTRP) databases were used to examine the potential drugs targeting . We used transwell and wound healing assays to determine the biological functions of in glioma cell migration. Our results demonstrated that was highly expressed in LGG and the expression level correlated with tumor grade, prognosis, histological subtype, isocitrate dehydrogenase 1 () mutation, 1p/19q chromosomal co-deletion, chemotherapy status, and O[6]-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. GO and KEGG analysis showed that is primarily involved in cell proliferation and immune response-related signaling pathways. We also found that was significantly correlated with m6A modification and diverse drug sensitivity. TIMER and TISIDB database analysis showed that expression is associated with infiltration of diverse immune cells and immune modulation in LGG. knockdown inhibited LGG cell migration. Collectively, our results demonstrate that is correlated with cell migration and immune infiltration in LGG and may be a useful prognostic biomarker.