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Updated: Jul 16, 2026

Percutaneous Hepatic Perfusion (PHP) with Melphalan as a Treatment for Unresectable Metastases Confined to the Liver
Published on: July 31, 2016
Population pharmacokinetics of melphalan in paediatric blood or marrow transplant recipients
Christa E Nath1, Peter J Shaw, Kay Montgomery
1Department of Biochemistry, The Children's Hospital at Westmead, NSW, Australia. christan@chw.edu.au
Insights
A new population pharmacokinetic model for melphalan in children with cancer was developed. This model, along with a limited sampling strategy, can help optimize melphalan dosing for improved treatment outcomes.
Area of Science:
- Pharmacology
- Pediatric Oncology
- Pharmacokinetics
Background:
- Melphalan is a key chemotherapeutic agent used in treating pediatric malignant diseases.
- Accurate dosing is crucial for efficacy and minimizing toxicity in pediatric patients.
- Understanding melphalan pharmacokinetics in children is essential for optimizing treatment regimens.
Purpose of the Study:
- To establish a population pharmacokinetic (PopPK) model for melphalan in pediatric cancer patients.
- To assess the utility of limited sampling strategies (LSS) for melphalan monitoring.
- To provide a basis for developing safer and more effective melphalan dosing guidelines.
Main Methods:
- Collected melphalan concentration data from 59 pediatric patients (0.3-18 years) receiving intravenous melphalan.
- Utilized NONMEM software for population pharmacokinetic modeling.
- Employed stepwise multiple linear regression to develop a three-sample limited sampling model.
Main Results:
- A two-compartment PopPK model was developed, incorporating weight, prior carboplatin therapy, and glomerular filtration rate as covariates for clearance, and weight for volume of distribution.
- The model demonstrated low interpatient variability for clearance (27.3%) and volume of distribution (33.8%).
- A validated three-sample LSS accurately predicted the area under the concentration-time curve (AUC).
Conclusions:
- The developed and validated melphalan PopPK model is suitable for clinical application in pediatric oncology.
- The established limited sampling strategy enables efficient therapeutic drug monitoring.
- This research supports the development of optimized, individualized melphalan dosing strategies for children with malignant diseases.
Aim:
To develop a population pharmacokinetic model for melphalan in children with malignant diseases and to evaluate limited sampling strategies for melphalan.
Methods:
Melphalan concentration data following a single intravenous dose were collected from 59 children with malignant diseases aged between 0.3 and 18 years. The data were split into two sets: the model development dataset (39 children, 571 concentration observations) and the model validation dataset (20 children, 277 concentration observations). Population pharmacokinetic modelling was performed with the NONMEM software. Stepwise multiple linear regression was used to develop a limited sampling model for melphalan.
Results:
A two-compartment model was fitted to the concentration-vs.-time data. The following covariate population pharmacokinetic models were obtained: (i) Clearance (l h(-1)) = 0.34.WT - 3.17.CPT + 0.0377.GFR, where WT = weight (kg), CPT = prior carboplatin therapy (0 = no, 1 = yes), and GFR = glomerular filtration rate (ml min(-1) 1.73 m(-2)); (ii) Volume of distribution (l) = 1.12 + 0.178.WT. Interpatient variability (coefficient of variation) was 27.3% for clearance and 33.8% for volume of distribution. There was insignificant bias and imprecision between observed and model-predicted melphalan concentrations in the validation dataset. A three-sample limited sampling model was developed which adequately predicted the area under the concentration-time curve (AUC) in the development and validation datasets.
Conclusions:
A population pharmacokinetic model for melphalan has been developed and validated and may now be used in conjunction with pharmacodynamic data to develop safe and effective dosing guidelines in children with malignant diseases.
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