Suppr超能文献

长链非编码RNA H19/miR-675的过表达促进头颈部鳞状细胞癌的肿瘤发生。

Overexpression of lncRNA H19/miR-675 promotes tumorigenesis in head and neck squamous cell carcinoma.

作者信息

Guan Guo-Fang, Zhang De-Jun, Wen Lian-Ji, Xin Ding, Liu Yan, Yu Duo-Jiao, Su Kai, Zhu Lin, Guo Ying-Yuan, Wang Ke

机构信息

Department of Otolaryngology, Head and Neck Surgery, The Second Hospital of Jilin University, Changchun 130041, P. R. China.

Department of Respiratory Medicine, The Second Hospital of Jilin University, Changchun 130041, P. R. China.

出版信息

Int J Med Sci. 2016 Nov 9;13(12):914-922. doi: 10.7150/ijms.16571. eCollection 2016.

Abstract

There is accumulating evidence indicating that long non-coding RNA H19 and its mature product miR-675 play essential roles for tumor growth and progression. However, their prognostic value in human head and neck squamous cell carcinoma (HNSCC), particular in laryngeal carcinoma, remains to be elucidated. In this study, we observed that both H19 and miR-675 were significantly overexpressed in a cohort of 65 primary tumor samples and two HNSCC cell lines. Importantly, when paired with patient follow-up data, higher expression of either H19 or miR-675 was significantly correlated with higher risk of patient relapse, and associated with worse overall survival and poor disease-free survival. Knockdown miR-675 caused significant reduction of cell viability, migratory and invasive capabilities. Taken together, these results suggest that the strong correlation of H19 overexpression together with higher miR-675 and lymph node metastases could be useful predictive markers, indicating a potentially therapeutic strategy for HNSCC patients.

摘要

越来越多的证据表明,长链非编码RNA H19及其成熟产物miR-675在肿瘤生长和进展中发挥着重要作用。然而,它们在人类头颈部鳞状细胞癌(HNSCC),尤其是喉癌中的预后价值仍有待阐明。在本研究中,我们观察到在一组65例原发性肿瘤样本和两种HNSCC细胞系中,H19和miR-675均显著过表达。重要的是,当与患者随访数据配对时,H19或miR-675的高表达与患者复发的高风险显著相关,并与较差的总生存期和无病生存期相关。敲低miR-675会导致细胞活力、迁移和侵袭能力显著降低。综上所述,这些结果表明,H19过表达与较高的miR-675和淋巴结转移之间的强相关性可能是有用的预测标志物,为HNSCC患者指明了一种潜在的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cdf/5165684/308875c8dc86/ijmsv13p0914g001.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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验