miR-182-5p 通过与 STARD13 结合在肺腺癌中作为癌基因发挥作用。

miR-182-5p Serves as an Oncogene in Lung Adenocarcinoma through Binding to STARD13.

机构信息

Department of Cardiothoracic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China 330006.

Department of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China 330006.

出版信息

Comput Math Methods Med. 2021 Jul 22;2021:7074343. doi: 10.1155/2021/7074343. eCollection 2021.

Abstract

Lung cancer as one of the commonest invasive malignancies is featured by high morbidity and mortality, wherein lung adenocarcinoma (LUAD) is the most prevalent subtype. Accumulating evidence exhibited that microRNAs are involved in LUAD occurrence and progression. In this study, miR-182-5p was observed to increase in both LUAD tissue and cell lines. Overexpression of miR-182-5p could prominently facilitate cell proliferation, migration, and invasion in LUAD. Through bioinformatics analysis, STARD13 was theorized as the target gene of miR-182-5p, which was lowly expressed in LUAD. Further molecular experiments manifested that miR-182-5p bound to the 3'-untranslated region of STARD13, and there was an inverse correlation between STARD13 and miR-182-5p in LUAD. Rescue experiments demonstrated that silencing STARD13 conspicuously restored the inhibitory effect of decreased miR-182-5p on cell proliferation, migration, and invasion in LUAD. Together, our findings revealed novel roles of the miR-182-5p/STARD13 axis in LUAD progression.

摘要

肺癌作为最常见的侵袭性恶性肿瘤之一,其发病率和死亡率都很高,其中肺腺癌(LUAD)是最常见的亚型。越来越多的证据表明,microRNAs 参与 LUAD 的发生和发展。在本研究中,观察到 miR-182-5p 在 LUAD 组织和细胞系中均增加。miR-182-5p 的过表达可显著促进 LUAD 中细胞的增殖、迁移和侵袭。通过生物信息学分析,推测 STARD13 是 miR-182-5p 的靶基因,在 LUAD 中低表达。进一步的分子实验表明,miR-182-5p 结合到 STARD13 的 3'-非翻译区,并且在 LUAD 中 STARD13 和 miR-182-5p 之间存在负相关。挽救实验表明,沉默 STARD13 明显恢复了降低 miR-182-5p 对 LUAD 中细胞增殖、迁移和侵袭的抑制作用。总之,我们的研究结果揭示了 miR-182-5p/STARD13 轴在 LUAD 进展中的新作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7c5/8321761/d2b5adaa69e8/CMMM2021-7074343.001.jpg

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