LncRNA MAFG-AS1 Promotes Lung Adenocarcinoma Cell Migration and Invasion by Targeting miR-3196 and Regulating SOX12 Expression.

来自 PUBMED

作者:

Wu QJiang J

展开

摘要:

Lung adenocarcinoma (LUAD) patients exhibit poor prognosis, primarily due to metastasis. Emerging studies have demonstrated that long noncoding RNAs (lncRNAs) play critical roles in cancer progression and metastasis besides their physiological function. Here, we investigated the potential role of lncRNA MAF BZIP Transcription Factor G Antisense RNA 1 (MAFG-AS1) in LUAD metastasis by analyzing its expression in The Cancer Genome Atlas (TCGA) LUAD database, and its function in LUAD using in vitro and in vivo experiments. We performed bioinformatics analysis, western blotting, dual-luciferase reporter gene assay, RNA immunoprecipitation (RIP), and rescue assays to reveal the molecular mechanisms underlying MAFG-AS1 function. We observed augmented expression of MAFG-AS1 in LUAD tissues compared with normal adjacent tissues, and its association with poor prognosis. Furthermore, MAFG-AS1 overexpression promoted LUAD cell migration, proliferation, invasion, and epithelial mesenchymal transition (EMT). Besides, MAFG-AS1 also targeted miR-3196 directly by acting as an endogenous sponge, thereby rescuing the inhibition of SOX12, a target of miR-3196. Thus, the rescue assays demonstrated that MAFG-AS1 promotes cell migration, invasion, and EMT by modulating the miR-3196/SOX12 pathway. In conclusion, our findings suggest that MAFG-AS1/miR-3196/SOX12 axis regulates LUAD progression and is a potential therapeutic target for LUAD.

收起

展开

DOI:

10.1007/s12033-022-00455-7

被引量:

7

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(357)

参考文献(4)

引证文献(7)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读