Wang Kunhao, Xu Zhiwen, Wang Ning, Tian Ye, Sun Xin, Ma Yonggang
School of Information Engineering, Changchun University of Science and Technology, Changchun, Jilin 130600, P.R. China.
College of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, P.R. China.
Mol Med Rep. 2016 Jan;13(1):453-60. doi: 10.3892/mmr.2015.4502. Epub 2015 Nov 5.
Molecular biologists have identified a number of genes and microRNAs (miRs) associated with chronic myelogenous leukemia (CML). However, their underlying mechanisms in CML remain unclear. In the present study, three regulatory networks of genes and miRs were constructed to elucidate the underlying mechanisms of CML. The first network was the experimentally validated network of miRs and genes. The second was the dysregulatory network of CML, consisting of dysregulated genes and miRs, contributing to the pathogenesis of CML. The third was the CML‑associated network, consisting of CML‑associated genes and miRs. In addition to dysregulated genes and miRs, the associated network includes non‑dysregulated genes and miRs that contribute to prevention, diagnosis, metastasis and therapy of CML. Key pathways were extracted and compared to distinguish the similarities and differences between dysregulatory nodes among the three networks. V-myb avian myeloblastosis viral oncogene homolog and miR‑155 were observed to form a feedback loop module in the dysregulatory network. Regulation of the dysregulatory network may present as a strategy for gene therapy of CML. The current study provides an improved understanding of the molecular mechanisms of, and a potential treatment strategy for, CML.
分子生物学家已经鉴定出一些与慢性粒细胞白血病(CML)相关的基因和微小RNA(miR)。然而,它们在CML中的潜在机制仍不清楚。在本研究中,构建了三个基因和miR调控网络,以阐明CML的潜在机制。第一个网络是经实验验证的miR和基因网络。第二个是CML的失调网络,由失调的基因和miR组成,促成CML的发病机制。第三个是CML相关网络,由CML相关基因和miR组成。除了失调的基因和miR外,相关网络还包括有助于CML预防、诊断、转移和治疗的非失调基因和miR。提取并比较关键通路,以区分三个网络中失调节点之间的异同。在失调网络中观察到V-myb禽成髓细胞瘤病毒癌基因同源物和miR-155形成一个反馈环模块。失调网络的调控可能是CML基因治疗的一种策略。当前研究增进了对CML分子机制的理解,并提供了一种潜在的治疗策略。