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PVT1的致癌作用及治疗意义

Oncogenic Role of PVT1 and Therapeutic Implications.

作者信息

Onagoruwa Onayemi Titilayo, Pal Gargi, Ochu Chika, Ogunwobi Olorunseun O

机构信息

Hunter College (CUNY), New York, NY, United States.

出版信息

Front Oncol. 2020 Feb 4;10:17. doi: 10.3389/fonc.2020.00017. eCollection 2020.

DOI:10.3389/fonc.2020.00017
PMID:32117705
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7010636/
Abstract

PVT1, a long non-coding RNA has been implicated in a variety of human cancers. Recent advancements have led to increasing discovery of the critical roles of PVT1 in cancer initiation and progression. Novel insight is emerging about PVT1's mechanism of action in different cancers. Identifying and understanding the variety of activities of PVT1 involved in cancers is a necessity for the development of PVT1 as a diagnostic biomarker or therapeutic target in cancers where PVT1 is dysregulated. PVT1's varied activities include overexpression, modulation of miRNA expression, protein interactions, targeting of regulatory genes, formation of fusion genes, functioning as a competing endogenous RNA (ceRNA), and interactions with MYC, among many others. Furthermore, bioinformatic analysis of PVT1 interactions in cancers has aided understanding of the numerous pathways involved in PVT1 contribution to carcinogenesis in a cancer type-specific manner. However, these recent findings show that there is much more to be learned to be able to fully exploit PVT1 for cancer prognostication and therapy. In this review, we summarize some of the latest findings on PVT1's oncogenic activities, signaling networks and how targeting these networks can be a strategy for cancer therapy.

摘要

PVT1是一种长链非编码RNA,与多种人类癌症有关。最近的进展使得越来越多地发现PVT1在癌症发生和发展中的关键作用。关于PVT1在不同癌症中的作用机制,新的见解正在不断涌现。识别和理解PVT1在癌症中涉及的各种活动,对于将PVT1开发为诊断生物标志物或治疗靶点来说是必要的,在PVT1失调的癌症中尤其如此。PVT1的多种活动包括过表达、miRNA表达的调节、蛋白质相互作用、调控基因的靶向、融合基因的形成、作为竞争性内源RNA(ceRNA)发挥作用以及与MYC的相互作用等等。此外,对癌症中PVT1相互作用的生物信息学分析有助于以癌症类型特异性的方式理解PVT1对致癌作用的众多贡献途径。然而,这些最新发现表明,要能够充分利用PVT1进行癌症预后和治疗,还有很多需要学习的地方。在这篇综述中,我们总结了一些关于PVT1致癌活性、信号网络以及靶向这些网络如何成为癌症治疗策略的最新发现。

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