N6-甲基腺苷（m6A）是最常见的 mRNA 修饰形式之一，由 m6A 相关基因动态调节；然而，其对胶质母细胞瘤（GBM）的作用仍不清楚。我们试图研究m6A相关基因（m6A-RGs）与GBM之间的关联。转录组数据和相关临床数据从The Cancer Genome Atlas和Gene Expression Omnibus下载数据库。从不同表达的基因中鉴定出m6A-RG，并应用COX和lasso回归模型来定位与预后相关的基因。我们在19个m6A-RG中鉴定出15个在GBM和非肿瘤组织之间差异表达。我们通过应用共识聚类确定了 GBM 的两个子组（聚类 1 和 2）。与聚类 1 亚组相比，聚类 1 亚组与较差的预后相关，并且 19 个 m6A-RG 中的大多数在聚类 1 中表达较高。通过单变量 Cox 和 lasso 回归模型，我们识别了 3 个 m6A-RG，即 HNRNPC、 ALKBH5和FTO，用于构建Cox回归风险模型来预测GBM患者的预后。我们确定了一个有价值的m6A模型来预测GBM患者的预后，它可以提供有用的表观遗传生物标志物。Copyright © 2024 版权所有：© 2024 印度神经病学，印度神经病学学会。

N6-methyladenosine (m6A) is one of the most common forms of mRNA modification, which is dynamically regulated by the m6A-related genes; however, its effect in glioblastoma (GBM) is still unknown.We sought to investigate the association between m6A-related genes (m6A-RGs) and GBM.Transcriptome data and the relevant clinical data were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. The m6A-RGs were identified from differently expressed genes, and COX and lasso regression models were applied to locate the prognosis-related genes.We identified 15 out of 19 m6A-RGs differentially expressed between GBM and nontumor tissues. We identified two subgroups of GBM (clusters 1 and 2) by applying consensus clustering. Compared with the cluster 1 subgroup, the cluster 1 subgroup correlates with a poorer prognosis, and most of the 19 m6A-RGs are higher expressed in cluster 1. Through univariate Cox and lasso regression model, we identified three m6A-RGs, namely HNRNPC, ALKBH5, and FTO, which were used to construct a Cox regression risk model to predict the prognosis of GBM patients.We identified a valuable m6A model for predicting the prognosis of GBM patients, which can provide useful epigenetic biomarkers.Copyright © 2024 Copyright: © 2024 Neurology India, Neurological Society of India.