Decreased expression of hsa_circ_0072387 as a valuable predictor for oral squamous cell carcinoma.

来自 PUBMED

作者:

Dou ZLi SRen WWang QLiu JKong XGao LZhi K

展开

摘要:

Increasing evidence points toward the key function of circular RNAs (circRNAs) in various carcinomas. This study aimed to identify aberrant expression of hsa_circ_0072387 in oral squamous cell carcinoma and probe its clinical significance. Real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to assess hsa_circ_0072387 expression levels in 63 paired OSCC tissues and three OSCC cell lines. The area under the receiver operator characteristic (ROC) curve was plotted to assess any potential clinical significance. Our data showed that hsa_circ_0072387 expression in OSCC was significantly downregulated compared with adjacent normal tissues (p < 0.001). Compared to human normal oral keratinocyte cell, the levels of hsa_circ_0072387 were lower in three OSCC cell lines (SCC25, SCC15, CAL27). More significantly, hsa_circ_0072387 expression was associated with the TNM stage in OSCC (p = 0.050). The area under the ROC curve reached up to 0.746. Based on bioinformatics, hsa-miR-129-3p, hsa-miR-141-3p, and hsa-miR-29-3p were predicted to be potential miRNAs binding with hsa_circ_0072387. Furthermore, hsa-miR-129-3p, hsa-miR-141-3p, and hsa-miR-29-3p were involved in multiple tumor-related signaling pathways. Our finding suggested that lower expression of has_circ_0072387 could be a key circRNA in OSCC and serve as a potential biomarker in OSCC diagnosis and therapeutic targets.

收起

展开

DOI:

10.1111/odi.13094

被引量:

17

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(210)

参考文献(0)

引证文献(17)

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