Inhibition of TGF-β/SMAD3/NF-κB signaling by microRNA-491 is involved in arsenic trioxide-induced anti-angiogenesis in hepatocellular carcinoma cells.

来自 PUBMED

作者:

Jiang FWang XLiu QShen JLi ZLi YZhang J

展开

摘要:

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality worldwide. Current standard practices for treatment of HCC are less than satisfactory because of metastasis and recurrence, which are primarily attributed to the angiogenesis. So, the anti-angiogenesis treatment has become the new approach for HCC therapy. In addition to treating leukemia, arsenic trioxide (As2O3) also suppresses other solid tumors, including HCC. However, the roles of As2O3 in the angiogenesis potential of HCC cells remain unclear. In our present study, As2O3 attenuated the angiogenic ability by the microRNA-491 (miR-491)-mediated inhibition of TGF-β/SMAD3/NF-κB signal pathway in MHCC97H and MHCC97L cells. Briefly, in these cells, As2O3 improved the expression of miR-491 via DNA-demethylation; miR-491, which targeted the SMAD3-3'-UTR, decreased the expression/function of SMAD3, leading to the inactivation of NF-κB/IL-6/STAT-3 signaling; knockdown of miR-491 abolished the As2O3-induced inhibitions of the TGF-β/SMAD3/NF-κB pathway, the VEGF secretion, and the angiogenesis. By understanding a novel mechanism whereby As2O3 inhibits the angiogenic potential in HCC cells, our study would help in the design of future strategies of developing As2O3 as a potential chemopreventive agent when used alone or in combination with other current anticancer drugs.

收起

展开

DOI:

10.1016/j.toxlet.2014.08.024

被引量:

27

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(500)

参考文献(0)

引证文献(27)

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