PEGylated Asparaginase in Children with Acute Lymphoblastic Leukemia Treated within the AIEOP-BFM ALL 2009 Trial:

Gudrun Würthwein1, Christian Siebel2, Claudia Lanvers-Kaminsky2

  • 1Department of Paediatric Haematology and Oncology, University Children's Hospital Muenster, Muenster, Germany. wurthwg@uni-muenster.de.

Insights

This study models polyethylene glycol-conjugated asparaginase pharmacokinetics in children with acute lymphoblastic leukemia, revealing treatment phase impacts on drug levels and accumulation. The developed model aids in optimizing dosing schedules and calculating individual dose-intensity parameters (DIPs).

Area of Science:

  • Pharmacokinetics and Pharmacodynamics
  • Pediatric Oncology
  • Drug Metabolism and Disposition

Background:

  • The AIEOP-BFM ALL 2009 trial investigated polyethylene glycol-conjugated asparaginase (PEG-ASNase) in pediatric acute lymphoblastic leukemia.
  • Understanding PEG-ASNase pharmacokinetics is crucial for optimizing treatment efficacy and minimizing toxicity.
  • Previous models may not fully capture pharmacokinetic variability across different treatment phases and patient groups.

Purpose of the Study:

  • To develop a population pharmacokinetic (popPK) model for PEG-ASNase in pediatric ALL patients across all treatment phases.
  • To characterize the impact of anti-PEG and anti-asparaginase antibodies on PEG-ASNase pharmacokinetics.
  • To derive individual dose-intensity parameters (DIPs) and assess their relationship with clinical outcomes.

Main Methods:

  • A popPK model was extended to analyze PEG-ASNase data from 2535 German/Czech patients and validated in 1603 Italian patients.
  • The model incorporated data from 279 Australian patients for DIP derivation.
  • Assays included the aspartic acid β-hydroxamate (AHA) assay and medac asparaginase activity test (MAAT); allergic reactions and silent inactivation were exclusion criteria.

Main Results:

  • Pharmacokinetics varied significantly by treatment phase, with up to 60% lower clearance and 30% lower volume of distribution compared to initial doses.
  • Drug accumulation was observed after repetitive doses, exceeding linear extrapolation predictions.
  • High pre-existing anti-PEG-antibody levels impacted induction phase clearance; other antibody effects were not significant unless leading to inactivation or allergy.

Conclusions:

  • The developed popPK model accurately describes PEG-ASNase pharmacokinetics across all treatment phases and patient groups, integrating antibody impacts.
  • The model enables strategic optimization of clinical trial schedules and precise calculation of individual dose-intensity parameters (DIPs).
  • This approach supports personalized dosing strategies for PEG-ASNase in pediatric ALL treatment.
Abstract