Logotheti Stella, Marquardt Stephan, Pützer Brigitte M
Institute of Experimental Gene Therapy and Cancer Research, Rostock University Medical Center, Rostock, Germany.
Methods Mol Biol. 2019;1912:33-52. doi: 10.1007/978-1-4939-8982-9_2.
The transcription factor p73 synthesizes a large number of isoforms and presents high structural and functional homology with p53, a well-known tumor suppressor and a famous "Holy Grail" of anticancer targeting. p73 has attracted increasing attention mainly because (a) unlike p53, p73 is rarely mutated in cancer, (b) some p73 isoforms can inhibit all hallmarks of cancer, and (c) it has the ability to mimic oncosuppressive functions of p53, even in p53-mutated cells. These attributes render p73 and its downstream pathways appealing for therapeutic targeting, especially in mutant p53-driven cancers. p73 functions are, at least partly, mediated by microRNAs (miRNAs), which constitute nodal components of p73-governed networks. p73 not only regulates transcription of crucial miRNA genes, but is also predicted to affect miRNA populations in a transcription-independent manner by developing protein-protein interactions with components of the miRNA processing machinery. This combined effect of p73, both in miRNA transcription and maturation, appears to be isoform-dependent and can result in a systemic switch of cell miRNomes toward either an anti-oncogenic or oncogenic outcome. In this review, we combine literature search with bioinformatics approaches to reconstruct the p73-governed miRNA network and discuss how these crosstalks may be exploited to develop next-generation therapeutics.
转录因子p73可合成大量异构体,与著名的肿瘤抑制因子、抗癌靶向治疗的“圣杯”p53具有高度的结构和功能同源性。p73越来越受到关注,主要原因如下:(a)与p53不同,p73在癌症中很少发生突变;(b)一些p73异构体可抑制癌症的所有特征;(c)即使在p53突变的细胞中,它也具有模拟p53抑癌功能的能力。这些特性使得p73及其下游通路成为有吸引力的治疗靶点,尤其是在突变p53驱动的癌症中。p73的功能至少部分由微小RNA(miRNA)介导,miRNA是p73调控网络的关键组成部分。p73不仅调控关键miRNA基因的转录,还预计通过与miRNA加工机制的组分发生蛋白质-蛋白质相互作用,以转录非依赖的方式影响miRNA群体。p73在miRNA转录和成熟过程中的这种综合作用似乎依赖于异构体,并且可导致细胞miRNA组向抑癌或致癌结果的系统性转变。在本综述中,我们将文献检索与生物信息学方法相结合,以重建p73调控的miRNA网络,并讨论如何利用这些相互作用来开发下一代治疗方法。