Abstract BACKGROUND Medulloblastoma (MB) is the predominant pediatric brain tumor, subdivided into four molecular subgroups, with group 3 and group 4 tumors posing significant clinical challenges due to poor prognosis and classification. This study investigates the roles of N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) in MB, aiming to develop diagnostic and prognostic tools. METHODS We analyzed transcriptome from 1236 samples to identify m6A-associated lncRNA signature (M6LSig). A multivariate-cox analysis identified a gene signature significantly associated with overall survival (OS) of patients. Risk score was calculated based on the sum of weighted gene expression of these genes. Nomograms were calculated for predicting OS and PFS probability. We did feature selection with Boruta to identify minimum gene signature for subgroup classification. We performed correlation analysis of gene signature and risk score with immune-cell abundance. We depleted METTL3 and METTL14 in G3-MB cell-line (D425) to measure impact on cell proliferation and dysregulation of M6LSig genes as a result of loss of m6A. RESULTS Nomogram was constructed using risk score derived from 24 M6LSig significantly associated with OS and PFS of the patients. A 171 gene signature was identified that can accurately classify samples into one of four major subgroups of MB with more than 90% accuracy including between Grp3/Grp4 samples. M6LSig genes and risk score showed significant correlation with immune cell type abundance in MB tumors. Expression of CD155 and 4-1BB was significantly different between high and low risk samples. m6A writer genes knockdown in D425 cells resulted in decreased cell proliferation and upregulation of many M6LSig genes. CONCLUSION M6LSig based risk can accurately predict OS and PFS and 171 genes signature can classify patients into subgroups with more than 90% accuracy. Risk score can also be used for determining high risk versus low-risk patient and design tailor made immune-therapy for better survival.