Sun Lu, Li Jie, Yan Bing
Department of Orthopedics, Shandong Chinese Medical Hospital, Jinan, Shandong 250014, P.R. China.
Mol Med Rep. 2015 Sep;12(3):4266-4272. doi: 10.3892/mmr.2015.3958. Epub 2015 Jun 18.
Osteosarcoma (OS) is the most common type of primary bone malignancy and has a poor prognosis. To investigate the mechanisms of osteosarcoma, the present analyzed the GSE28424 microarray. GSE28424 was downloaded from the Gene Expression Omnibus, and included a collective of 19 OS cell lines and four normal bone cell lines, which were used as controls. Subsequently, the differentially expressed genes (DEGs) were screened using the Limma package in Bioconductor. Gene Ontology (GO) and pathway enrichment analysis of the DEGs was performed using the Database for Annotation, Visualization and Integrated Discovery, interactions between the proteins encoded by the DEGs were identified using STRING, and the protein‑protein interaction (PPI) network was visualized using Cytoscape. In addition, modular analysis of the PPI network was performed using the Clique Percolation Method (CPM) in CFinder. A total of 1,170 DEGs were screened, including 530 upreguated and 640 downregulated genes. The enriched functions included organelle fission, immune response and response to wounding. In addition, RPL8 was observed to be involved with the ribosomal pathway in module A of the PPI network of the DEGs. PLCG1, SYK and PLCG2 were also involved in the B‑cell receptor signaling pathway in module B and the Fc‑epsilon RI signaling pathway in module C. In addition, AURKA (degree=39), MAD2L1 (degree=38), CDCA8 (degree=38), BUB1 (degree=37) and MELK (degree=37) exhibited higher degrees of connectivity in module F. The results of the present study suggested that the RPL8, PLCG1, PLCG2, SYK, MAD2L1, AURKA, CDCA8, BUB1 and MELK genes may be involved in OS.
骨肉瘤（OS）是最常见的原发性骨恶性肿瘤类型，预后较差。为了研究骨肉瘤的发病机制，本研究分析了GSE28424基因芯片。GSE28424从基因表达综合数据库下载，包括19个骨肉瘤细胞系和4个正常骨细胞系的集合，后者用作对照。随后，使用Bioconductor中的Limma软件包筛选差异表达基因（DEG）。使用注释、可视化和综合发现数据库对DEG进行基因本体（GO）和通路富集分析，使用STRING鉴定DEG编码蛋白之间的相互作用，并使用Cytoscape可视化蛋白质-蛋白质相互作用（PPI）网络。此外，使用CFinder中的团块渗滤法（CPM）对PPI网络进行模块分析。共筛选出1170个DEG，包括530个上调基因和640个下调基因。富集的功能包括细胞器分裂、免疫反应和对伤口的反应。此外，观察到RPL8参与DEG的PPI网络模块A中的核糖体途径。PLCG1、SYK和PLCG2也参与模块B中的B细胞受体信号通路和模块C中的FcεRI信号通路。此外，AURKA（度=39）、MAD2L1（度=38）、CDCA8（度=38）、BUB1（度=37）和MELK（度=37）在模块F中表现出较高的连接度。本研究结果表明，RPL8、PLCG1、PLCG2、SYK、MAD2L1、AURKA、CDCA8、BUB1和MELK基因可能参与骨肉瘤的发生。
