Suppr超能文献

lncRNA-miR-26a-mRNA 网络在癌症进展和治疗中的作用。

The Role of lncRNA-miR-26a-mRNA Network in Cancer Progression and Treatment.

机构信息

Department of Oncology, Daye People's Hospital, Daye, Hubei, 435100, China.

Department of Obstetrics and Gynecology, Pengren Hospital, Daye, Hubei, 435100, China.

出版信息

Biochem Genet. 2024 Jun;62(3):1443-1461. doi: 10.1007/s10528-023-10475-w. Epub 2023 Sep 20.

Abstract

The role of non-coding RNAs in regulating biological processes associated with cancer progression, such as proliferation, migration, and apoptosis, has been extensively studied. Long non-coding RNAs (lncRNAs) play a role in regulating these processes through various mechanisms, including transcriptional and post-transcriptional modifications. In post-transcriptional regulation, lncRNAs can bind to specific miRNAs and affect their function, which can either promote or inhibit cancer development. The interaction between lncRNAs, miRNAs, and mRNAs forms a network known as competitive endogenous RNA (ceRNA), which is involved in cancer progression or inhibition. One specific miRNA called miR-26a-5p has been identified as having tumor-suppressive properties. However, when lncRNAs bind to and inhibit miR-26a-5p, it can lead to cancer progression. Therefore, targeting this ceRNA network could be a promising strategy for preventing cancer development. This review will first discuss the anticancer effects of miR-26a-5p and then explore the involvement of the lncRNA-miR26a-5p-mRNA axis in cancer progression and potential targeted therapies.

摘要

非编码 RNA 在调节与癌症进展相关的生物过程(如增殖、迁移和凋亡)中的作用已经得到了广泛研究。长非编码 RNA(lncRNA)通过各种机制(包括转录和转录后修饰)在调节这些过程中发挥作用。在转录后调控中,lncRNA 可以与特定的 miRNAs 结合并影响其功能,从而促进或抑制癌症的发展。lncRNA、miRNAs 和 mRNAs 之间的相互作用形成了一种被称为竞争内源性 RNA(ceRNA)的网络,该网络参与了癌症的进展或抑制。一种名为 miR-26a-5p 的特定 miRNA 被鉴定为具有肿瘤抑制特性。然而,当 lncRNA 结合并抑制 miR-26a-5p 时,它可能导致癌症进展。因此,靶向这个 ceRNA 网络可能是预防癌症发展的一种有前途的策略。本综述将首先讨论 miR-26a-5p 的抗癌作用,然后探讨 lncRNA-miR26a-5p-mRNA 轴在癌症进展中的参与以及潜在的靶向治疗。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验