探索和验证m7G相关基因作为低级别胶质瘤免疫微环境特征和预后指标
Exploration and validation of m7G-related genes as signatures in the immune microenvironment and prognostic indicators in low-grade glioma.
作者信息
Zhen Wen, Shan Xueshi, Cui Xiangdong, Ji Pengxiang, Zhang Ping, Wang Minghua, Cai Zhan
机构信息
Department of Neurosurgery, Suzhou Ruihua Orthopedic Hospital Suzhou 215104, Jiangsu, China.
Department of Biochemistry and Molecular Biology, Medical College, Soochow University Suzhou 215123, Jiangsu, China.
出版信息
Am J Transl Res. 2023 Jun 15;15(6):3882-3899. eCollection 2023.
OBJECTIVES
Currently, an increasing number of studies are focusing on the impact of m7G modification in cancer. This study aims to investigate the prognostic value of m7G-related genes in low-grade glioma (LGG).
METHODS
LGG samples were obtained from the CGGA database, and normal samples were obtained from GTEx. Differentially expressed m7G-related genes were identified, and genes highly associated with macrophage M2 in LGG patients were identified by immuno-infiltration and WGCNA analysis. The intersection of differentially expressed m7G-related genes and macrophage M2-associated genes yielded candidate genes, and hub genes were identified using 5 algorithms in CytoHubba. Enrichment analysis verified the relevant pathways of hub genes, and their performance in tumor classification was evaluated.
RESULTS
A total of 3329 differentially expressed m7G-related genes were identified. 1289 genes were highly associated with macrophage M2 in LGG patients. The intersection of m7G-related genes and results in WGCNA yielded 840 candidate genes, and six hub genes (STXBP1, CPLX1, PAB3A, APBA1, RIMS1, and GRIN2B) were identified. Hub genes were enriched in synaptic transmission-related pathways and showed good performance for tumor classification. There were significant differences in survival levels between clusters.
CONCLUSIONS
The identified m7G-related genes may provide new insight into the treatment and prognosis of LGG.
目的
目前，越来越多的研究聚焦于m7G修饰在癌症中的影响。本研究旨在探讨m7G相关基因在低级别胶质瘤（LGG）中的预后价值。
方法
从CGGA数据库获取LGG样本，从GTEx获取正常样本。鉴定差异表达的m7G相关基因，并通过免疫浸润和WGCNA分析鉴定LGG患者中与巨噬细胞M2高度相关的基因。差异表达的m7G相关基因与巨噬细胞M2相关基因的交集产生候选基因，并使用CytoHubba中的5种算法鉴定枢纽基因。富集分析验证枢纽基因的相关途径，并评估它们在肿瘤分类中的表现。
结果
共鉴定出3329个差异表达的m7G相关基因。1289个基因与LGG患者中的巨噬细胞M2高度相关。m7G相关基因与WGCNA结果的交集产生840个候选基因，并鉴定出6个枢纽基因（STXBP1、CPLX1、PAB3A、APBA1、RIMS1和GRIN2B）。枢纽基因在与突触传递相关的途径中富集，并在肿瘤分类中表现良好。各聚类间生存水平存在显著差异。
结论
鉴定出的m7G相关基因可能为LGG的治疗和预后提供新的见解。
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