Optimizing Body Size-Based Dosing Approaches for Antibody-Drug Conjugates
Andrew B SyBing1, Diane D Wang1
1Pfizer Oncology Early Stage Development, Clinical Pharmacology, San Diego, California, USA.
Optimizing antibody-drug conjugate (ADC) dosing is crucial. Using adjusted ideal body weight (AIBW) or body surface area (BSA) with dose capping improves precision, especially when clearance scaling is not ideal.
Area of Science:
- Pharmacology
- Oncology
- Drug Development
Background:
- Antibody-drug conjugate (ADC) dosing precision is challenging due to narrow therapeutic indices and interindividual variability.
- Body size-based dosing is common but can lead to over- or underexposure if scaling exponents differ from one.
- Existing ADC dosing strategies may not fully account for allometric scaling characteristics.
Purpose of the Study:
- To outline a strategy for selecting optimal dosing approaches to enhance ADC dosing precision.
- To evaluate the performance of different body size metrics (body weight, BSA, IBW, AIBW) for ADC dosing.
- To assess the effectiveness of dose capping strategies in mitigating exposure variability.
Main Methods:
- Re-estimated allometric scaling exponent (α) for clearance relative to body weight (BW), body surface area (BSA), ideal body weight (IBW), and adjusted ideal body weight (AIBW).
- Conducted simulations to evaluate dose capping performance across various α values.
- Analyzed dosing strategies of 15 approved ADCs.
Main Results:
- All 15 approved ADCs utilize body size-based dosing, with seven employing dose caps.
- Adjusted ideal body weight (AIBW) and BSA often showed an allometric scaling exponent (α) closer to 1 than body weight (BW).
- Dose capping effectively maintained the percentage area under the curve (AUC) difference within a 20% range for extreme body sizes when α was between 0.4 and 0.7.
Conclusions:
- AIBW and BSA are superior body size metrics for ADC dosing compared to BW or IBW when α is not equal to 1.
- Dose capping is a valuable strategy to improve ADC dosing precision, particularly when allometric scaling is suboptimal.
- A decision tree is proposed to guide dosing strategy selection throughout drug development for improved ADC therapeutic outcomes.
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