Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.
CPT Pharmacometrics Syst Pharmacol. 2017 Nov;6(11):756-764. doi: 10.1002/psp4.12246. Epub 2017 Oct 17.
Multiple myeloma is a fatal hematological malignancy with high rates of drug resistance and relapse. Vorinostat, a histone deacetylase inhibitor, has shown promise in enhancing efficacy when combined with current myeloma therapies. In this study, temporal changes of critical proteins and cell proliferation were measured in myeloma cells exposed to vorinostat. A model linking biomarker dynamics to cell proliferation was developed that captured vorinostat effects on signal transduction and cell viability. The model structure and parameters were fixed to describe tumor dynamics in vivo, and tumor-specific growth and death rate parameters were estimated. The signaling model captured tumor growth inhibition in murine xenografts for a range of dose levels and regimens. This model may be used as a mechanistic bridge to link vorinostat exposure to molecular events and pharmacodynamic (PD) outcomes. It may also provide a translational platform to explore vorinostat activity as a single agent and in combination regimens.
多发性骨髓瘤是一种致命的血液恶性肿瘤,具有很高的耐药性和复发率。组蛋白去乙酰化酶抑制剂伏立诺他与目前的多发性骨髓瘤治疗联合使用时显示出提高疗效的潜力。在这项研究中,研究人员测量了暴露于伏立诺他的骨髓瘤细胞中关键蛋白和细胞增殖的时间变化。建立了一个将生物标志物动力学与细胞增殖联系起来的模型,该模型捕捉了伏立诺他对信号转导和细胞活力的影响。该模型的结构和参数被固定以描述体内肿瘤动力学,并估计肿瘤特异性生长和死亡率参数。该信号模型捕获了伏立诺他在多种剂量水平和方案的小鼠异种移植中的肿瘤生长抑制作用。该模型可以用作将伏立诺他暴露与分子事件和药效学(PD)结果联系起来的机制桥梁。它还可以提供一个转化平台,以探索伏立诺他作为单一药物和联合方案的活性。