PO.ET07.01 · 实验与分子治疗

raludotatug deruxtecan(R-DXd)的药代动力学-肿瘤生长抑制建模,以支持铂耐药卵巢癌(PROC)的3期剂量选择

Pharmacokinetic-tumor growth inhibition modeling of raludotatug deruxtecan (R-DXd) to support phase 3 dose selection in platinum-resistant ovarian cancer (PROC)

编号 1820 展板 8 时间 4/20 09:00–12:00 区域 Section 17 主讲 YoungJun Yoo, Pharm D
分会场 Quantitative Pharmacology and Translational Modeling
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作者与单位 Authors & Affiliations

YoungJun Yoo1, Kevin Koloskoff2, Sandra Re1, Izna Ali1, Felipe K. Hurtado1, Raouf El Cheikh2

1Daiichi Sankyo, Inc., Basking Ridge, NJ,2Daiichi Sankyo France, SAS, Rueil-Malmaison, France

摘要 Abstract

中文摘要
背景:R-DXd是一款正在临床研究中的新型钙黏蛋白6(CDH6)导向的抗体药物偶联物(ADC)。在正在进行的1期DS6000-A-U101(NCT04707248)和2/3期REJOICE-Ovarian01(NCT06161025)研究中,初步数据在铂耐药卵巢癌(PROC)患者中显示出令人鼓舞的结果。为支持PROC中的剂量选择,开发了一个药代动力学-肿瘤生长抑制(PK-TGI)模型,以研究R-DXd暴露对肿瘤大小的影响,并预测在感兴趣的R-DXd剂量(4.8、5.6和6.4 mg/kg)下肿瘤大小相对于基线的百分比变化,同时探索CDH6表达水平对肿瘤反应的影响。 方法:分析数据集包含来自两项研究、完成至少18周随访(即3次基线后肿瘤扫描)的229例患者。从在DS6000-A-U101和REJOICE-Ovarian01剂量优化部分中接受R-DXd单药治疗(1.6-9.6 mg/kg IV Q3W)的PROC患者中,收集了PK(ADC和释放载荷[DXd]血浆浓度)和肿瘤大小(最长径之和[SLD],由盲态独立中心审阅[BICR]评估)的时程数据。该PK-TGI模型采用非线性混合效应建模开发,并改编自Claret等人先前发表的TGI建模框架。进行了考虑参数不确定性的模拟,以预测典型参考患者在各剂量水平下R-DXd治疗的肿瘤反应。 结果:模型参数估计精度良好,拟合优度图显示模型预测能恰当地描述数据。最终模型由三个组分构成:1)由R-DXd浓度驱动的药物诱导肿瘤杀伤率,其2)随时间被一个耐药项所减弱,以及3)以饱和逻辑斯谛函数描述的肿瘤生长,其中包括内在生长率、肿瘤大小和最大肿瘤大小。模拟显示出明确的暴露-反应关系,R-DXd剂量越高,肿瘤缩小越强:24周时预测的肿瘤缩小中位数在4.8、5.6和6.4 mg/kg分别为−52%、−58%和−64%。此外,基线CDH6蛋白表达被确定为该参数的一个显著协变量,与肿瘤缩小呈正相关,且其效应随表达水平升高趋于平台。 结论:该PK-TGI模型能够充分表征肿瘤大小作为R-DXd浓度函数的变化,并量化靶点表达对肿瘤缩小的影响。结合全部临床数据以及对获益-风险的总体评估,这些分析支持选择5.6 mg/kg Q3W作为REJOICE-Ovarian01研究3期部分R-DXd的最佳单药剂量。
查看英文原文 English abstract
Background: R-DXd is a novel cadherin 6 (CDH6)-directed antibody-drug conjugate (ADC) under clinical investigation. In ongoing Phase 1 DS6000-A-U101 (NCT04707248) and Phase 2/3 REJOICE-Ovarian01 (NCT06161025) studies, preliminary data showed promising results in patients with platinum-resistant ovarian cancer (PROC). To support dose selection in PROC, a pharmacokinetic-tumor growth inhibition (PK-TGI) model was developed to investigate the effect of R-DXd exposure on tumor size and predict percent change from baseline in tumor size across R-DXd doses of interest (4.8, 5.6, and 6.4 mg/kg), as well as explore the effect of CDH6 expression levels on tumor response. Methods: The analysis dataset comprised 229 patients enrolled from either study who completed at least 18 weeks of follow-up (ie, 3 postbaseline tumor scans). Time-course data of PK (ADC and released payload [DXd] plasma concentration) and tumor size (sum of longest diameters [SLD], assessed by blinded independent central review [BICR]) were collected from PROC patients treated with R-DXd monotherapy at 1.6-9.6 mg/kg IV Q3W in DS6000-A-U101 and the dose optimization part of REJOICE-Ovarian01. The PK-TGI model was developed using nonlinear mixed-effects modeling and adapted from previously published TGI modeling frameworks by Claret et al. Simulations accounting for parameter uncertainties were conducted to predict tumor response of R-DXd treatment across dose levels for a typical reference patient. Results: Model parameters were estimated with good precision, and goodness-of-fit plots showed that model predictions describe data appropriately. The final model was comprised of three components: 1) a drug-induced tumor killing rate ( ) driven by R-DXd concentration, which is 2) attenuated over time by a resistance term ( ), and 3) tumor growth described as a saturated logistic function, , in which represents the intrinsic growth rate, tumor size, and the maximum tumor size. The simulations demonstrated a clear exposure-response relationship, with higher doses of R-DXd associated with stronger tumor shrinkage: predicted median tumor shrinkage at 24 weeks was −52%, −58%, and −64% for 4.8, 5.6, and 6.4 mg/kg, respectively. Additionally, baseline CDH6 protein expression was identified as a significant covariate on parameter, positively associated with tumor shrinkage, with its effect tending to plateau with increasing expression levels. Conclusions: The PK-TGI model could adequately characterize changes in tumor size as a function of R-DXd concentration as well as quantify the effect of target expression on tumor shrinkage. Combined with the totality of clinical data and an overall assessment of benefit-risk, the analyses supported the selection of 5.6 mg/kg Q3W as the optimal monotherapy dose of R-DXd for the Phase 3 part of the REJOICE-Ovarian01 study.
利益披露 Disclosure
Y. Yoo, Daiichi Sankyo Employment, Stock. K. Koloskoff, Daiichi Sankyo Employment. S. Re, Daiichi Sankyo Employment, Stock. Bristol Myers Squibb Stock. I. Ali, Daiichi Sankyo Employment, Stock. F. K. Hurtado, Daiichi Sankyo Employment, Stock, Patent. R. El Cheikh, Daiichi Sankyo Employment, Stock.

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