Suppr超能文献

新型 ADAM-17 抑制剂 ZLDI-8 增强索拉非尼对肝癌细胞的体外和体内化疗效果。

Novel ADAM-17 inhibitor ZLDI-8 enhances the in vitro and in vivo chemotherapeutic effects of Sorafenib on hepatocellular carcinoma cells.

机构信息

Department of Pharmacy, General Hospital of Shenyang Military Area Command, Shenyang, 110840, China.

Department of Clinical Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China.

出版信息

Cell Death Dis. 2018 Jul 3;9(7):743. doi: 10.1038/s41419-018-0804-6.

Abstract

Hepatocellular carcinoma (HCC) is one of the greatest life threats for Chinese people, and the prognosis of this malignancy is poor due to the strong chemotherapy resistance in patients. Notch pathway components mediate cell survival and epithelial-mesenchymal transition (EMT), and also participate in the induction of multi-drug resistance (MDR). In the present study, we demonstrated the discovery of a novel inhibitor for Notch activating/cleaving enzyme ADAM-17, named ZLDI-8; it inhibited the cleavage of NOTCH protein, consequently decreased the expression of pro-survival/anti-apoptosis and EMT related proteins. ZLDI-8 treatment enhanced the susceptibility of HCC cells to a small molecular kinase inhibitor Sorafenib, and chemotherapy agents Etoposide and Paclitaxel. ZLDI-8 treatment enhanced the effect of Sorafenib on inhibiting tumor growth in nude HCC-bearing mice model. These results suggest that ZLDI-8 can be a promising therapeutic agent to enhance Sorafenib's anti-tumor effect and to overcome the MDR of HCC patients.

摘要

肝细胞癌(HCC)是中国人面临的最大生命威胁之一,由于患者强烈的化疗耐药性,这种恶性肿瘤的预后很差。Notch 通路成分介导细胞存活和上皮-间充质转化(EMT),并参与多药耐药(MDR)的诱导。在本研究中,我们发现了一种 Notch 激活/切割酶 ADAM-17 的新型抑制剂 ZLDI-8;它抑制 NOTCH 蛋白的切割,从而降低了促生存/抗凋亡和 EMT 相关蛋白的表达。ZLDI-8 处理增强了 HCC 细胞对小分子激酶抑制剂索拉非尼、化疗药物依托泊苷和紫杉醇的敏感性。ZLDI-8 处理增强了索拉非尼抑制裸鼠 HCC 荷瘤模型肿瘤生长的作用。这些结果表明,ZLDI-8 可以成为一种有前途的治疗剂,以增强索拉非尼的抗肿瘤作用,并克服 HCC 患者的多药耐药性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e61/6030059/c550749bf1c1/41419_2018_804_Fig1_HTML.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