Identification and Prognostic Value of m6A-Related Genes in Glioblastoma.

IF 0.9 3区医学 Q4 NEUROSCIENCES

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI:10.4103/neurol-india.ni_1166_21

Ping Zheng, Xiaoxue Zhang, Dabin Ren, Qingke Bai

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引用次数: 0

Abstract

Background: 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.

Objective: We sought to investigate the association between m6A-related genes (m6A-RGs) and GBM.

Methods: 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.

Results: 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.

Conclusion: We identified a valuable m6A model for predicting the prognosis of GBM patients, which can provide useful epigenetic biomarkers.

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胶质母细胞瘤中 m6A 相关基因的鉴定和预后价值

背景：N6-甲基腺苷（m6A）是最常见的mRNA修饰形式之一，它受m6A相关基因的动态调控；然而，它在胶质母细胞瘤（GBM）中的作用仍然未知：我们试图研究 m6A 相关基因（m6A-RGs）与 GBM 之间的关联：方法：从癌症基因组图谱（The Cancer Genome Atlas）和基因表达总库（Gene Expression Omnibus）数据库中下载转录组数据和相关临床数据。从不同表达的基因中识别出m6A-RGs，并应用COX和lasso回归模型找出与预后相关的基因：结果：在 19 个 m6A-RGs 中，我们发现了 15 个在 GBM 和非肿瘤组织中差异表达。通过共识聚类，我们确定了两个 GBM 亚群（群 1 和群 2）。与第1群亚群相比，第1群亚群的预后较差，而19个m6A-RGs中的大多数在第1群中表达较高。通过单变量 Cox 和 lasso 回归模型，我们发现了三个 m6A-RGs，即 HNRNPC、ALKBH5 和 FTO，并将其用于构建 Cox 回归风险模型，以预测 GBM 患者的预后：结论：我们发现了一个有价值的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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neurology India 医学-神经科学

CiteScore

1.60

自引率

70.40%

发文量

434

审稿时长

2 months

期刊介绍： Neurology India (ISSN 0028-3886) is Bi-monthly publication of Neurological Society of India. Neurology India, the show window of the progress of Neurological Sciences in India, has successfully completed 50 years of publication in the year 2002. ‘Neurology India’, along with the Neurological Society of India, has grown stronger with the passing of every year. The full articles of the journal are now available on internet with more than 20000 visitors in a month and the journal is indexed in MEDLINE and Index Medicus, Current Contents, Neuroscience Citation Index and EMBASE in addition to 10 other indexing avenues. This specialty journal reaches to about 2000 neurologists, neurosurgeons, neuro-psychiatrists, and others working in the fields of neurology.