Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, 77204, USA; Drug Discovery Institute, University of Houston, Houston, TX, 77204, USA.
Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, China.
Cancer Lett. 2019 Sep 10;459:156-167. doi: 10.1016/j.canlet.2019.114429. Epub 2019 Jun 7.
The overexpression of the MDM2 oncoprotein frequently occurs in hepatocellular carcinoma (HCC). Small molecules that inhibit MDM2-p53 binding show efficacy against p53 wild-type HCC, but most patients have p53-mutant tumors and intrinsic resistance to such MDM2 inhibitors. We have recently discovered that the NFAT1 transcription factor upregulates MDM2 expression, but the role of NFAT1 in HCC is not fully understood. The present study was designed to develop a dual-targeting (MDM2 and NFAT1) strategy for the treatment of HCC. We herein demonstrate that high expression levels of NFAT1 and MDM2 are independent predictors of a poor prognosis in patients with HCC. We have also identified a MDM2 and NFAT1 dual inhibitor (termed MA242) that induces MDM2 auto-ubiquitination and degradation and represses NFAT1-mediated MDM2 transcription. MA242 profoundly inhibits the growth and metastasis of HCC cells in vitro and in vivo, independent of p53. The present efficacy and mechanistic studies provide proof-of-principle data to support the therapeutic value of this dual targeting strategy in future drug discovery.
MDM2 癌蛋白的过表达在肝细胞癌 (HCC) 中经常发生。抑制 MDM2-p53 结合的小分子对野生型 p53 HCC 有效,但大多数患者具有 p53 突变型肿瘤,并对这种 MDM2 抑制剂具有内在抗性。我们最近发现,NFAT1 转录因子上调 MDM2 的表达,但 NFAT1 在 HCC 中的作用尚未完全阐明。本研究旨在开发用于治疗 HCC 的双重靶向(MDM2 和 NFAT1)策略。本研究表明,NFAT1 和 MDM2 的高表达水平是 HCC 患者预后不良的独立预测因子。我们还鉴定了一种 MDM2 和 NFAT1 双重抑制剂(称为 MA242),它可诱导 MDM2 自泛素化和降解,并抑制 NFAT1 介导的 MDM2 转录。MA242 可显著抑制 HCC 细胞在体外和体内的生长和转移,与 p53 无关。目前的疗效和机制研究为支持该双重靶向策略在未来药物发现中的治疗价值提供了原理验证数据。