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Population pharmacokinetics of belantamab mafodotin, a BCMA-targeting agent in patients with relapsed/refractory multiple myeloma.

Authors :
Rathi C
Collins J
Struemper H
Opalinska J
Jewell RC
Ferron-Brady G
Source :
CPT: pharmacometrics & systems pharmacology [CPT Pharmacometrics Syst Pharmacol] 2021 Aug; Vol. 10 (8), pp. 851-863. Date of Electronic Publication: 2021 Jul 29.
Publication Year :
2021

Abstract

Belantamab mafodotin (belamaf) is an antibody-drug conjugate (ADC) targeting B-cell maturation antigen (BCMA). Nonlinear mixed-effects models were developed to characterize the population pharmacokinetics (PopPK) of ADC, total monoclonal antibody (mAb), and cysteine-maleimidocaproyl-MMAF (cys-mcMMAF) after 0.03-4.6 mg/kg dosing every 3 weeks in heavily pretreated patients with relapsed/refractory multiple myeloma (RRMM; DREAMM-1, n = 73; DREAMM-2, n = 218). Sequential modeling methodology was used. Individual post hoc parameter estimates from the final ADC model were used to develop total mAb and cys-mcMMAF models. Formal covariate selection used a modified stepwise forward inclusion method with backward elimination. A linear, two-compartment PopPK model with a time-varying clearance (CL) described ADC PK. Initial ADC typical value for CL for a DREAMM-2 patient was 0.936 L/day with a half-life of 11.5 days, over time CL was reduced by 28% resulting in a half-life of 14.3 days. Time to 50% maximal CL change was ~ 50 days. Baseline soluble BCMA (sBCMA), immunoglobulin (IgG), albumin, and bodyweight impacted ADC CL. Cys-mcMMAF concentrations were described with a linear two-compartment model linked to ADC; input rate was governed by deconjugation/intracellular proteolytic degradation of ADC represented by an exponentially decreasing MMAF:mAb (drug antibody ratio [DAR]) after each dose. Time to 50% DAR reduction was 10.3 days. Baseline sBCMA and IgG impacted cys-mcMMAF central volume of distribution. In conclusion, ADC, total mAb, and cys-mcMMAF concentration-time profiles in RRMM were well-described by PopPK models, and exposure was most strongly impacted by disease-related characteristics.<br /> (© 2021 GlaxoSmithKline. CPT: Pharmacometrics & Systems publihed by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)

Details

Language :
English
ISSN :
2163-8306
Volume :
10
Issue :
8
Database :
MEDLINE
Journal :
CPT: pharmacometrics & systems pharmacology
Publication Type :
Academic Journal
Accession number :
34076364
Full Text :
https://doi.org/10.1002/psp4.12660