This study aims to discover the genetic modules that distinguish glioblastoma multiforme (GBM) from low-grade glioma (LGG) and identify hub genes. A co-expression network is constructed using the expression profiles of 28 GBM and LGG patients from the Gene Expression Omnibus database. The authors performed gene ontology (GO) and Kyoto encyclopaedia of genes and genomes (KEGG) analysis on these genes. The maximal clique centrality method was used to identify hub genes. Online tools were employed to confirm the link between hub gene expression and overall patient survival rate. The top 5000 genes with major variance were classified into 18 co-expression gene modules. GO analysis indicated that abnormal changes in 'cell migration' and 'collagen metabolic process' were involved in the development of GBM. KEGG analysis suggested that 'focal adhesion' and 'p53 signalling pathway' regulate the tumour progression. TNFAIP6 was identified as a hub gene, and the expression of TNFAIP6 was increased with the elevation of pathological grade. Survival analysis indicated that the higher the expression of TNFAIP6, the shorter the survival time of patients. The authors identified TNFAIP6 as the hub gene in the progression of GBM, and its high expression indicates the poor prognosis of the patients.

中文翻译：

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通过加权基因共表达网络分析鉴定 TNFAIP6 作为与胶质母细胞瘤进展相关的中枢基因。

本研究旨在发现将多形性胶质母细胞瘤 (GBM) 与低级别胶质瘤 (LGG) 区分开来的遗传模块，并确定中心基因。使用来自 Gene Expression Omnibus 数据库的 28 名 GBM 和 LGG 患者的表达谱构建共表达网络。作者对这些基因进行了基因本体论 (GO) 和京都基因和基因组百科全书 (KEGG) 分析。最大团中心性方法用于鉴定中心基因。使用在线工具来确认中枢基因表达与患者总体存活率之间的联系。前 5000 个主要变异的基因被分为 18 个共表达基因模块。GO分析表明，“细胞迁移”和“胶原代谢过程”的异常变化与GBM的发展有关。KEGG 分析表明“粘着斑”和“p53 信号通路”调节肿瘤进展。TNFAIP6被鉴定为中枢基因，TNFAIP6的表达随着病理分级的升高而升高。生存分析表明，TNFAIP6的表达越高，患者的生存时间越短。作者将TNFAIP6确定为GBM进展中的枢纽基因，其高表达表明患者预后不良。