Osimertinib Cost Minimization in Non-Small Cell Lung Cancer (NSCLC) Treatment: Hypothesis Generation for a Population Pharmacokinetic Approach for Equivalent Dose Optimization of Osimertinib in Combination with Cobicistat

在非小细胞肺癌 (NSCLC) 治疗中,奥希替尼治疗成本最小化:基于群体药代动力学方法的奥希替尼联合考比司他等效剂量优化假设生成

阅读:1

Abstract

Pharmacokinetic boosting can be a strategy to enhance osimertinib exposure and reduce treatment associated costs. The OSIBOOST trial demonstrated that it was feasible to boost low osimertinib plasma trough levels with cobicistat. The current study aims to establish the equivalent dose of cobicistat boosted osimertinib compared to osimertinib 80 mg once daily (QD) by population pharmacokinetic (popPK) modeling. A popPK model was developed on the pharmacokinetic data from the OSIBOOST study using NONMEM 7.4.4. Simulations were performed with cobicistat boosted osimertinib dosing regimens to evaluate their equivalence to the standard of osimertinib 80 mg QD. A dose level was assumed equivalent when the 90% confidence interval (CI) of the geometric mean ratios (GMR) for the area under the curve over 144 h (AUC(0-144h)) and maximum osimertinib concentration (C(max)) were in the acceptance range of 0.8-1.25. Cobicistat decreased osimertinib CL/F by 29.6% compared to osimertinib monotherapy (P < .0001). Osimertinib 80 mg 2 days on, 1 day off, boosted with cobicistat 150 mg QD was equivalent for osimertinib AUC(0-144h) (GMR [90% CI] = 0.96 [0.94-0.98]) and C(max) (GMR [90% CI] = 1.06 [1.04-1.08]) compared to osimertinib 80 mg QD monotherapy. However, this regimen was not equivalent for AZ5104 AUC(0-144h) (GMR [90% CI] = 0.67 [0.66-0.68]) and C(max) (GMR [90% CI] = 0.74 [0.73-0.76]). Theoretically, this reduced dose of cobicistat boosted osimertinib can potentially save approximately 33% in osimertinib treatment associated costs whilst maintaining adequate osimertinib exposure.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。