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整合分析揭示 m7G 甲基化调节剂在高级别胶质瘤中的生物学功能和预后作用。

Integrative analyses reveal biological function and prognostic role of m7G methylation regulators in high-grade glioma.

机构信息

Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.

Department of Nursing, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China.

出版信息

Aging (Albany NY). 2023 Sep 6;15(17):8782-8799. doi: 10.18632/aging.204999.

DOI:10.18632/aging.204999
PMID:37679037
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10522370/
Abstract

Based on 29 m7G regulators, glioma patients were categorized into three groups using data from the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA) datasets. Distinct characteristics were observed in immune cell infiltration, functional enrichment, and clinical prognosis for every glioma subtype. Analyzing the differentially expressed genes (DEGs) confirmed the distinction among the three m7G clusters. A predictive tool for overall survival (OS) in high-grade glioma patients was developed and confirmed, consisting of 13 m7G regulators forming a prognostic signature. Elevated m7G levels were found to be associated with increased tumor mutation burden and immune activation, indicating a tumor microenvironment characterized by inflammation and a lower overall survival rate. In contrast, reduced m7G scores were linked to a deficiency in immune infiltration, a low burden of mutations, and a non-inflamed phenotype, suggesting a more positive clinical outlook. Additionally, the m7G risk scores were found to impact chemotherapy sensitivity. The m7G predictive pattern shows potential as a marker for the overall survival of patients with high-grade glioma. By significantly improving our comprehension of the functional role of m7G regulators in the advancement of glioma and their impact on clinical results, this study offers valuable perspectives for precision therapy in the management of high-grade glioma.

摘要

基于 29 个 m7G 调控因子,通过中国脑胶质瘤基因组图谱(CGGA)和癌症基因组图谱(TCGA)数据集,将 glioma 患者分为三组。每个 glioma 亚型的免疫细胞浸润、功能富集和临床预后都有明显的特征。分析差异表达基因(DEGs)证实了这三个 m7G 簇之间的区别。开发并验证了一个用于高级别 glioma 患者总体生存(OS)的预测工具,由 13 个 m7G 调控因子组成一个预后特征。发现升高的 m7G 水平与增加的肿瘤突变负担和免疫激活有关,表明肿瘤微环境以炎症和总体生存率较低为特征。相比之下,降低的 m7G 评分与免疫浸润不足、突变负担低和非炎症表型有关,表明预后更为乐观。此外,m7G 风险评分与化疗敏感性有关。m7G 预测模式有可能成为高级别 glioma 患者总体生存率的标志物。这项研究通过显著提高我们对 m7G 调控因子在 glioma 进展中的功能作用及其对临床结果的影响的理解,为高级别 glioma 的精准治疗提供了有价值的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dea/10522370/6d1aa753dba8/aging-15-204999-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dea/10522370/b0fec58f0713/aging-15-204999-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dea/10522370/6d1aa753dba8/aging-15-204999-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dea/10522370/d540e00c4645/aging-15-204999-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dea/10522370/ae77e1a3540c/aging-15-204999-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dea/10522370/79cfdba17139/aging-15-204999-g006.jpg
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