Wang Hao, Xu Zhiwen, Ma Mengyao, Wang Ning, Wang Kunhao
Department of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, P.R. China; Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, P.R. China.
Oncol Lett. 2016 Jun;11(6):3821-3828. doi: 10.3892/ol.2016.4476. Epub 2016 Apr 20.
Numerous studies on the morbidity of nasopharyngeal carcinoma (NPC) have identified several genes, microRNAs (miRNAs or miRs) and transcription factors (TFs) that influence the pathogenesis of NPC. However, summarizing all the regulatory networks involved in NPC is challenging. In the present study, the genes, miRNAs and TFs involved in NPC were considered as the nodes of the so-called regulatory network, and the associations between them were investigated. To clearly represent these associations, three regulatory networks were built seperately, namely, the differentially expressed network, the associated network and the global network. The differentially expressed network is the most important one of these three networks, since its nodes are differentially expressed genes whose mutations may lead to the development of NPC. Therefore, by modifying the aberrant expression of those genes that are differentially expressed in this network, their dysregulation may be corrected and the tumorigenesis of NPC may thus be prevented. Analysis of the aforementioned three networks highlighted the importance of certain pathways, such as self-adaptation pathways, in the development of NPC. For example, cyclin D1 (CCND1) was observed to regulate -miR-20a, which in turn targeted CCND1. The present study conducted a systematic analysis of the pathogenesis of NPC through the three aforementioned regulatory networks, and provided a theoretical model for biologists. Future studies are required to evaluate the influence of the highlighted pathways in NPC.
众多关于鼻咽癌(NPC)发病率的研究已经确定了一些影响鼻咽癌发病机制的基因、微小RNA(miRNA或miR)和转录因子(TF)。然而,总结所有参与鼻咽癌的调控网络具有挑战性。在本研究中,将参与鼻咽癌的基因、miRNA和TF视为所谓调控网络的节点,并研究它们之间的关联。为了清晰地表示这些关联,分别构建了三个调控网络,即差异表达网络、关联网络和全局网络。差异表达网络是这三个网络中最重要的一个,因为其节点是差异表达基因,其突变可能导致鼻咽癌的发生。因此,通过改变该网络中差异表达基因的异常表达,可以纠正它们的失调,从而预防鼻咽癌的肿瘤发生。对上述三个网络的分析突出了某些途径(如自适应途径)在鼻咽癌发生中的重要性。例如,观察到细胞周期蛋白D1(CCND1)调节-miR-20a,而-miR-20a又靶向CCND1。本研究通过上述三个调控网络对鼻咽癌的发病机制进行了系统分析,并为生物学家提供了一个理论模型。未来的研究需要评估所突出的途径对鼻咽癌的影响。