Bo Lijuan, Wei Bo, Li Chaohui, Wang Zhanfeng, Gao Zheng, Miao Zhuang
Department of Infections, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Department of Neurosurgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Oncol Lett. 2017 Aug;14(2):2045-2052. doi: 10.3892/ol.2017.6460. Epub 2017 Jun 22.
Gliomas are serious primary brain tumors. The aim of the present study was to identify potential key genes associated with the progression of gliomas. The GSE31262 gene expression profile data, which included 9 glioblastoma stem cells (GSCs) samples and 5 neural stem cell samples from adult humans, were downloaded from Gene Expression Omnibus (GEO) database. limma package was used to identify differentially expressed genes (DEGs). Based on STRING database and Pearson Correlation Coefficient (PCC), a co-expression network was constructed to comprehensively understand the interactions between DEGs, and function analysis of genes in the network was conducted. Furthermore, the DEGs that were associated with prognosis were analyzed. A total of 431 DEGs were identified, including 98 upregulated DEGs and 333 downregulated DEGs. Genes including PDZ binding kinase, topoisomerase (DNA) II α (), cyclin dependent kinase () 1, cell division cycle 6 and NIMA related kinase 2 had a relatively high degree in the co-expression network. A set of genes including cyclin D1, and were significantly enriched in the cell cycle and p53 signaling pathway. Additionally, 69 DEGs were identified as genes involved in glioblastoma prognosis, such as and . The genes that had a higher degree and were associated with cell cycle and p53 signaling pathway may play pivotal roles in the progress of glioblastoma.
胶质瘤是严重的原发性脑肿瘤。本研究的目的是鉴定与胶质瘤进展相关的潜在关键基因。从基因表达综合数据库（GEO）下载了GSE31262基因表达谱数据，其中包括9个成胶质细胞瘤干细胞（GSCs）样本和5个来自成年人类的神经干细胞样本。使用limma软件包鉴定差异表达基因（DEGs）。基于STRING数据库和皮尔逊相关系数（PCC），构建共表达网络以全面了解DEGs之间的相互作用，并对网络中的基因进行功能分析。此外，分析了与预后相关的DEGs。共鉴定出431个DEGs，包括98个上调的DEGs和333个下调的DEGs。在共表达网络中，包括PDZ结合激酶、拓扑异构酶（DNA）IIα、细胞周期蛋白依赖性激酶1、细胞分裂周期6和NIMA相关激酶2在内的基因具有相对较高的连接度。包括细胞周期蛋白D1等在内的一组基因在细胞周期和p53信号通路中显著富集。此外，69个DEGs被鉴定为与成胶质细胞瘤预后相关的基因，如某些基因。具有较高连接度且与细胞周期和p53信号通路相关的基因可能在成胶质细胞瘤的进展中起关键作用。
