Zhou Kecheng, Liu Minxia, Cao Yi
Laboratory of Molecular and Experimental Pathology, Kunming Institute of Zoology, Chinese Academy of SciencesKunming, China.
Kunming College of Life Science, University of Chinese Academy of SciencesKunming, China.
Front Mol Biosci. 2017 Jul 7;4:46. doi: 10.3389/fmolb.2017.00046. eCollection 2017.
Tumorigenesis is a multi-step and complex process with multi-factors involved. Deregulated oncogenes and tumor suppressor genes (TSGs) induced by genetic and epigenetic factors are considered as the driving force in the development and progression of cancer. Besides, microRNAs (miRNAs) act vital roles in tumorigenesis through regulating some oncogenes and TSGs. Interestingly, miRNAs are also regulated by oncogenes and TSGs. Considering the entangled regulation, here we propose a new insight into these regulation relationships in cancer: oncogene-miRNA-TSG network, which further emphasizes roles of miRNA, as well as highlights the network regulation among oncogene, miRNA, and TSG during tumorigenesis. The oncogene-miRNA-TSG network demonstrates that oncogenes and TSGs not only show functional synergy, but also there are regulatory relationships among oncogenes and TSGs during tumorigenesis, which could be mediated by miRNAs. In view of the oncogene-miRNA-TSG network involved in many oncogenes, miRNAs, and TSGs, as well as occurring in various tumor types, the anomaly of this network may be a common event in cancers and participates in tumorigenesis. This hypothesis broadens horizons of molecular mechanisms underlying tumorigenesis, and may provide a new promising venue for the prediction, diagnosis, and even therapy of cancer.
肿瘤发生是一个多步骤的复杂过程,涉及多种因素。由遗传和表观遗传因素诱导的癌基因和肿瘤抑制基因(TSG)失调被认为是癌症发生发展的驱动力。此外,微小RNA(miRNA)通过调控一些癌基因和TSG在肿瘤发生中发挥重要作用。有趣的是,miRNA也受癌基因和TSG的调控。考虑到这种复杂的调控关系,我们在此对癌症中的这些调控关系提出一种新的见解:癌基因-miRNA-TSG网络,该网络进一步强调了miRNA的作用,并突出了肿瘤发生过程中癌基因、miRNA和TSG之间的网络调控。癌基因-miRNA-TSG网络表明,癌基因和TSG不仅表现出功能协同作用,而且在肿瘤发生过程中癌基因和TSG之间还存在调控关系,这可能由miRNA介导。鉴于癌基因-miRNA-TSG网络涉及许多癌基因、miRNA和TSG,且存在于各种肿瘤类型中,该网络的异常可能是癌症中的常见事件,并参与肿瘤发生。这一假说拓宽了肿瘤发生分子机制的视野,并可能为癌症的预测、诊断乃至治疗提供一个新的有前景的途径。