Accuracy of Real-Time PK-Guided Melphalan Dosing in Achieving Target Exposure in Myeloma Patients Undergoing Autologous Transplant
Year: 2026
Type: article
Abstract: Background: High-dose melphalan 140–200 mg/m2 (HDM) with autologous stem cell transplant (ASCT) is standard first-line treatment in multiple myeloma (MM), yet standard BSA-based dosing results in wide variation in systemic exposure (AUC). We developed a pharmacokinetic (PK)-guided dosing strategy using a 100 mg/m2 first dose, enabling real-time PK assessment and individualized adjustment for the second dose. We report final results of Phase A of our multi-center Phase 1 trial (NCT04483206, MyMel) evaluating feasibility and accuracy of this personalized approach. Methods: Patients received melphalan 100 mg/m2 on Day −3, and seven PK samples were collected and shipped overnight for LC-MS/MS analysis. Real-time AUC estimation using noncompartmental analysis (NCA) guided Day −1 dosing to achieve pre-specified AUC targets (13.5 or 14.5 mg × h/L). For comparison, post hoc Bayesian estimation using a nonlinear mixed effects (NLME) model was performed. Sparse sampling designs were evaluated using NONMEM. Results: All 20 patients successfully received PK-guided dosing, with Day −1 doses determined within 48 h. PK-guided dosing reduced AUC variability (CV 4.20–5.62%), with 19 of 20 achieving AUCs within ±10% of the target, compared to what would have been achieved by BSA dosing (CV 9.74–15.34%). NLME improved accuracy, particularly in patients with missing samples, and maintained performance using only four PK time points. Conclusions: This study demonstrates that PK-guided dosing is accurate and feasible with HDM-ASCT. NLME enhances accuracy and enables simplified sampling. Phase B will identify maximum tolerated systemic exposure of seven additional AUC cohorts using the NLME model and a four-sample design.
Source: Pharmaceutics
Authors: Kyeongmin Kim, Yizhen Guo, Min Hai, Kasey Hill, Nicole Abbott, Matias Eugenio Sanchez, Chukwuemeka Uzoka, Ana Maria Avila Rodriguez, John G. Quigley, Nadim Mahmud, Damiano Rondelli, Douglas W. Sborov, Donald Harvey, Donald J. Irby, Ajay K. Nooka, Madhav V. Dhodapkar, Jonathan L. Kaufman, Nisha S. Joseph, Sagar Lonial, Pritesh Patel, Mitch A. Phelps, Craig C. Hofmeister, Karen Sweiss
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,499
Funder: Gateway for Cancer Research
Award: G5180243492
OpenAlex ID: W7171451244
