Simultaneous Population PKPD Analysis of Belantamab Mafodotin, Soluble BCMA , and Serum M‐Protein in Relapsed/Refractory Multiple Myeloma

A simultaneous pharmacokinetic (PK)/pharmacodynamic (PD) analysis was conducted to characterize relationships between anti-B-cell maturation antigen (BCMA)-targeting antibody-drug conjugate, belantamab mafodotin, and longitudinal multiple myeloma (MM) disease markers (soluble BCMA [sBCMA], M-protein). Data from patients with relapsed/refractory MM receiving belantamab mafodotin monotherapy in the DREAMM-1 (NCT02064387), DREAMM-2 (NCT03525678), DREAMM-3 (NCT04162210), or DREAMM-5 (NCT04126200) trials were included. The dataset contained 510 patients with 15,860 PK and PD observations. Previous population PK and M-protein PD models were combined to create a new starting model. Overparameterization was reduced using sensitivity analyses to create a 2-compartment base model for belantamab mafodotin with a linear clearance component and target-mediated drug disposition assuming quasi-equilibrium between belantamab mafodotin and sBCMA binding. Free belantamab mafodotin affected M-protein elimination rate via a direct effect, and M-protein in turn scaled sBCMA synthesis rate. sBCMA was assumed to transfer into the central free sBCMA compartment through a reservoir compartment, allowing capture of observed differences in timescales. Stepwise covariate modeling led to the final model, which contained eight covariate effects (baseline sBCMA, albumin, body weight, and sex on belantamab mafodotin clearance; baseline body weight and sex on belantamab mafodotin central volume of distribution; extramedullary disease at screening and baseline sBCMA on M-protein death rate constant). Simulations of belantamab mafodotin doses/schedules showed concentrations of free sBCMA and M-protein decreased as free and total belantamab mafodotin increased with higher doses. The PKPD model captured the clearance of belantamab mafodotin and the highly dynamic interactions between belantamab mafodotin PK, M-protein, and sBCMA.

Authors

Institutions

Publication Details

Journal
CPT Pharmacometrics & Systems Pharmacology
Published
2026-09-29
DOI
https://doi.org/10.1002/psp4.70337
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Simultaneous Population PKPD Analysis of Belantamab Mafodotin, Soluble BCMA , and Serum M‐Protein in Relapsed/Refractory Multiple Myeloma

Herbert Struemper, Geraldine Ferron‐Brady, Mun Sang Yue, John David Clements et al.
CPT Pharmacometrics & Systems Pharmacology
Multiple Myeloma Research and Treatments
article

Simultaneous Population PKPD Analysis of Belantamab Mafodotin, Soluble BCMA , and Serum M‐Protein in Relapsed/Refractory Multiple Myeloma

Herbert Struemper, Geraldine Ferron‐Brady, Mun Sang Yue, John David Clements, Inmaculada C. Sorribes, Adekemi B. Taylor, Christine Neumar, Josh Kaullen, Xi Chen
article en

Abstract

A simultaneous pharmacokinetic (PK)/pharmacodynamic (PD) analysis was conducted to characterize relationships between anti-B-cell maturation antigen (BCMA)-targeting antibody-drug conjugate, belantamab mafodotin, and longitudinal multiple myeloma (MM) disease markers (soluble BCMA [sBCMA], M-protein). Data from patients with relapsed/refractory MM receiving belantamab mafodotin monotherapy in the DREAMM-1 (NCT02064387), DREAMM-2 (NCT03525678), DREAMM-3 (NCT04162210), or DREAMM-5 (NCT04126200) trials were included. The dataset contained 510 patients with 15,860 PK and PD observations. Previous population PK and M-protein PD models were combined to create a new starting model. Overparameterization was reduced using sensitivity analyses to create a 2-compartment base model for belantamab mafodotin with a linear clearance component and target-mediated drug disposition assuming quasi-equilibrium between belantamab mafodotin and sBCMA binding. Free belantamab mafodotin affected M-protein elimination rate via a direct effect, and M-protein in turn scaled sBCMA synthesis rate. sBCMA was assumed to transfer into the central free sBCMA compartment through a reservoir compartment, allowing capture of observed differences in timescales. Stepwise covariate modeling led to the final model, which contained eight covariate effects (baseline sBCMA, albumin, body weight, and sex on belantamab mafodotin clearance; baseline body weight and sex on belantamab mafodotin central volume of distribution; extramedullary disease at screening and baseline sBCMA on M-protein death rate constant). Simulations of belantamab mafodotin doses/schedules showed concentrations of free sBCMA and M-protein decreased as free and total belantamab mafodotin increased with higher doses. The PKPD model captured the clearance of belantamab mafodotin and the highly dynamic interactions between belantamab mafodotin PK, M-protein, and sBCMA.

CPT Pharmacometrics & Systems PharmacologyVol. 15(10)
Merck & Co., Inc., Rahway, NJ, USA (United States) (US), Exelixis (United States) (US), GlaxoSmithKline (United States) (US), Certara (United States) (US), Takeda (Japan) (JP)
Good health and well-being
Openalex Percentile: Top 11%
Multiple Myeloma Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.