Wang Hui-Ling, Liu Jing, Qin Zhao-Min
First Gynecological Ward, Binzhou People's Hospital, Binzhou, Shandong 256610, P.R. China.
Department of Health Checkup, Binzhou People's Hospital, Binzhou, Shandong 256610, P.R. China.
Oncol Lett. 2017 Nov;14(5):5765-5772. doi: 10.3892/ol.2017.6928. Epub 2017 Sep 14.
The aim of the present study was to identify differential pathways in uterine leiomyomata (UL) using a novel method based on protein-protein interaction networks and pathway analysis. The pathway networks were constructed by examining the intersections of the Reactome database and the Search Tool for the Retrieval of Interacting Genes/proteins (STRING) protein-protein interaction (PPI) networks. The Objective network was defined as the differential expressed genes (DEGs) associated with the interactions identified by STRING. Topological centrality (degree) analysis was performed for the Objective network to explore the hub genes and hub networks. Subsequent to isolating the intersections between the Pathway and Objective networks, randomization tests were conducted to identify the differential pathways. There were 559,598 interactions in the Pathway networks. A total of 657 genes with 3,835 interactions were mapped in the Objective network, which included 20 hub genes. It was identified that 358 pathways demonstrated interaction with the Objective network, such as Signal Transduction, Immune System and Signaling by G-protein-coupled receptor (GPCR). By accessing the randomization tests, P-values of these pathways were close to 0, which indicated that they were significantly different. The present study successfully identified differential pathways (such as signal transduction, immune system and signaling by GPCR) in UL, which may be potential biomarkers in the detection and treatment of UL.
本研究的目的是使用一种基于蛋白质-蛋白质相互作用网络和通路分析的新方法，来识别子宫平滑肌瘤（UL）中的差异通路。通过检查Reactome数据库与检索相互作用基因/蛋白质的搜索工具（STRING）蛋白质-蛋白质相互作用（PPI）网络的交集来构建通路网络。目标网络被定义为与STRING鉴定的相互作用相关的差异表达基因（DEG）。对目标网络进行拓扑中心性（度）分析，以探索枢纽基因和枢纽网络。在分离通路网络和目标网络之间的交集之后，进行随机化测试以识别差异通路。通路网络中有559,598个相互作用。共有657个基因（具有3,835个相互作用）映射在目标网络中，其中包括20个枢纽基因。已确定358条通路与目标网络有相互作用，如信号转导、免疫系统和G蛋白偶联受体（GPCR）信号传导。通过随机化测试，这些通路的P值接近0，这表明它们有显著差异。本研究成功识别了UL中的差异通路（如信号转导、免疫系统和GPCR信号传导），这些通路可能是UL检测和治疗中的潜在生物标志物。
