Isatuximab–dexamethasone–pomalidomide combination effects on serum M protein and PFS in myeloma: Development of a joint model using phase I/II data

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-11-28 DOI:10.1002/psp4.13206
Antoine Pitoy, Solène Desmée, François Riglet, Hoai-Thu Thai, Zandra Klippel, Dorothée Semiond, Christine Veyrat-Follet, Julie Bertrand
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Abstract

This study aimed at leveraging data from phase I/II clinical trials to build a nonlinear joint model of serum M-protein kinetics and progression-free survival (PFS) accounting for the effects of isatuximab (Isa), pomalidomide (Pom), and dexamethasone (Dex) in patients with relapsed and/or refractory multiple myeloma. Serum M-protein levels and PFS data from 203 evaluable patients, included either in a phase I/II study (n = 173) or in a phase I study (n = 30), were used to build the model. First, we independently developed a longitudinal model and a PFS model. Then, we linked them in a nonlinear joint model by selecting the link function that best captured the association between serum M-protein kinetics and PFS. A Claret tumor growth-inhibition model accounting for the additive effects of Isa, with an Emax function, Pom, and Dex on serum M-protein elimination was selected to describe serum M-protein kinetics. PFS was best described with a log-logistic model and associations with baseline beta-2 microglobulin level, age, and coadministration of Dex were identified. The instantaneous change in serum M-protein level was found to be associated with PFS in the final joint model. Using model simulations, we retrospectively supported the Isa 10 mg/kg weekly for 4 weeks, then biweekly (QW/Q2W) dosing regimen of the ICARIA-MM phase III pivotal study, and validated it using the same phase III pivotal study data.

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依沙妥昔单抗-地塞米松-泊马度胺联合治疗对骨髓瘤患者血清M蛋白和PFS的影响:基于I/II期数据的联合模型的开发
本研究旨在利用I/II期临床试验的数据,建立血清m蛋白动力学和无进展生存期(PFS)的非线性联合模型,考虑isatuximab (Isa)、pomalidomide (Pom)和地塞米松(Dex)对复发和/或难治性多发性骨髓瘤患者的影响。203例可评估患者的血清m蛋白水平和PFS数据,包括I/II期研究(n = 173)或I期研究(n = 30),用于构建模型。首先,我们独立开发了纵向模型和PFS模型。然后,我们通过选择最能捕获血清m蛋白动力学和PFS之间关联的连接函数,将它们连接在一个非线性联合模型中。我们选择了一个考虑Isa、Emax函数、Pom和Dex对血清m蛋白消除的加性效应的红葡萄酒肿瘤生长抑制模型来描述血清m蛋白动力学。PFS最好用logistic模型来描述,并与基线β -2微球蛋白水平、年龄和Dex联合用药有关。在最终关节模型中发现血清m蛋白水平的瞬时变化与PFS有关。通过模型模拟,我们回顾性地支持ICARIA-MM III期枢纽研究的Isa 10 mg/kg每周给药4周,然后是每两周(QW/Q2W)给药方案,并使用相同的III期枢纽研究数据对其进行验证。
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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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