PO.ET07.01 · 实验与分子治疗

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

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

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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