Linc00460 promotes osteosarcoma progression via miR-1224-5p/FADS1 axis.

来自 PUBMED

作者:

Lian HXie PYin NZhang JZhang XLi JZhang C

展开

摘要:

Previous studies have demonstrated that long non-coding RNAs (lncRNAs) were involved in tumorigenesis in various human neoplasms, including osteosarcoma (OS). However, the expression and specific role of lncRNA linc00460 in OS remain unknown. Bioinformatics analysis, Quantitative real-time polymerase chain reaction (qRT-PCR), CCK-8 assay, Colony formation assay, Wound healing assay, Transwell assay, Dual luciferase reporter assay, RNA immunoprecipitation and Western blot were utilized to analyze or detect survival, gene expression, cell proliferation, cell migration, cell invasion and interest protein levels, respectively. In this study, we found high linc00460 expression predicted poor prognosis of pan-cancer patients. Linc00460 was up-regulated in OS tissues and cells. High linc00460 expression was positively correlated with distant metastasis and poor overall survival of OS patients. Knockdown of linc00460 suppressed OS cells proliferation and metastasis in vitro. In addition, an inverse correlation between linc00460/miR-1224-5p and miR-1224-5p/FADS1 was observed in OS. Mechanistically, linc00460 functioned as a competitively endogenous RNA (ceRNA) to up-regulate FADS1 expression via sponging miR-1224-5p in OS, thereby promoting OS progression. In conclusion, this study recognized linc00460 as a new oncogenic lncRNA in OS and suggests that the linc00460/miR-1224-5p/FADS1 axis might be a potential therapeutic target for OS.

收起

展开

DOI:

10.1016/j.lfs.2019.116757

被引量:

24

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(826)

参考文献(0)

引证文献(24)

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