Glioblastoma multiforme (GBM) is the most malignant primary tumour in the central nervous system, but the molecular mechanisms underlying its pathogenesis remain unclear. In this study, data set GSE50161 was used to construct a co‐expression network for weighted gene co‐expression network analysis. Two modules (dubbed brown and turquoise) were found to have the strongest correlation with GBM. Functional enrichment analysis indicated that the brown module was involved in the cell cycle, DNA replication, and pyrimidine metabolism. The turquoise module was primarily related to circadian rhythm entrainment, glutamatergic synapses, and axonal guidance. Hub genes were screened by survival analysis using The Cancer Genome Atlas and Human Protein Atlas databases and further tested using the GSE4290 and Gene Expression Profiling Interactive Analysis databases. The eight hub genes (NUSAP1, SHCBP1, KNL1, SULT4A1, SLC12A5, NUF2, NAPB, and GARNL3) were verified at both the transcriptional and translational levels, and these gene expression levels were significant based on the World Health Organization classification system. These hub genes may be potential biomarkers and therapeutic targets for the accurate diagnosis and management of GBM.

中文翻译：

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基于共表达网络分析的多形性胶质母细胞瘤关键模块和枢纽基因的鉴定

多形性胶质母细胞瘤（GBM）是中枢神经系统中恶性程度最高的原发肿瘤，但其发病的分子机制尚不清楚。在本研究中，数据集 GSE50161 用于构建用于加权基因共表达网络分析的共表达网络。发现两个模块（称为棕色和绿松石）与 GBM 具有最强的相关性。功能富集分析表明，棕色模块参与细胞周期、DNA 复制和嘧啶代谢。绿松石模块主要与昼夜节律夹带、谷氨酸能突触和轴突引导有关。使用癌症基因组图谱和人类蛋白质图谱数据库通过生存分析筛选集线器基因，并使用 GSE4290 和基因表达谱交互式分析数据库进一步测试。八个枢纽基因（NUSAP1、SHCBP1、KNL1、SULT4A1、SLC12A5、NUF2、NAPB和GARNL3 )在转录和翻译水平上均得到验证，这些基因表达水平基于世界卫生组织分类系统具有显着性。这些枢纽基因可能是准确诊断和管理 GBM 的潜在生物标志物和治疗靶点。