Establishment of a Phamacokinetik Model for Erwinase Pharmacokinetiks: The Aim of This Sub Study is to Optimize Target Trough Attainment While Minimizing High Exposures That Impose Increased Risk of Side Effects Such as Hyperammonemia

April 13, 2026 updated by: Birgitte Klug Albertsen, Aarhus University Hospital

Establishment of a Phamacokinetik Model for Erwinase Pharmacokinetiks

The aim of this study is to optimize target trough attainment while minimizing high exposures that impose increased risk of side effects such as hyperammonemia.

Clinical pharmacology is based on the principle that plasma drug concentrations are linked to therapeutic effects. Therefore, understanding plasma drug concentrations is critical to balancing efficacy and toxicity in oncology treatment, as shown with Erwinase where elevated activity increases the risk of hyperammonemia. TDM can guide dose adjustments to reduce PK variability and improve outcomes. However, harnessing all information from TDM data can be challenging due to sparse and uneven sampling, and multiple sources of PK variability. Advanced analytical tools, such as pharmacometrics and population PK modelling, can address these complexities by quantifying exposure variability in patients and linking it to dosage, patient characteristics, and biomarkers.

Methods:

This is a NOPHO study. Within the NOPHO, Erwinase was administered intramuscularly (IM) at a dose of 20,000 IU/m² on a Mon-Wed-Fri schedule for two weeks. All non-high-risk (non-HR) patients received the same dose. HR-patients received additional Erwinase, with three doses at 2-day intervals in each treatment block. Activity levels are available from ~150 patients; among these, 20 patients received more than six doses (range: 7-42).

In the A2G-1, Erwinase was administered intravenously (IV) at 20,000 IU/m², substituting one PEG-asparaginase dose with seven Erwinase doses every other day. The number of doses received varied depending on the timing of hypersensitivity reactions. Activity levels are already available from >90 patients. Measurement of Erwinase enzyme activity levels is performed at the Asparaginase Lab in Aarhus. All samples have been analysed. The data will undergo further cleaning, validation, followed by integration with patient characteristics in a population PK model.

Data Management and Security in Uppsala:

All PK data will be pseudo-anonymized before being securely transferred to Uppsala University through the Allvis data portal. Data handling and formatting will be scripted in R to ensure transparency and reproducibility. Modelling will be performed on the UPPMAX computing cluster via the Swedish National Academic Infrastructure for Supercomputing.

Workflow, statistics and perspectives:

The modelling workflow will be performed as follows:

  1. A PK model for Erwinase will be established based on asparaginase enzyme activity TDM data obtained from Nordic/Baltic ALL patients treated under the NOPHO and A2G-1. Drug clearance, volume of distribution, absorption, and bioavailability will be derived to describe the PK of both routes of Erwinase administration (IV vs IM). Nonlinear mixed-effects modelling will be applied to obtain both typical population PK parameters as well as patient variability parameters. Potential changes in parameters within patients over time will also be explored.

    Model development and evaluation will be conducted using NONMEM17. Model selection will be based on statistical fit and biological plausibility. Goodness of fit plots and visual predictive checks will ensure the PK model adequately describes the observed data.

  2. The Erwinase PK model will be applied to explore alternative dosing strategies, as simultaneously achieving aimed target attainment (≥100 IU/L).

Study Overview

Study Type

Observational

Enrollment (Estimated)

475

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Aarhus, Denmark
        • Recruiting
        • Aarhus University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

475 children and young adults with ALL treated with Erwinase.

Description

Inclusion Criteria:

  • ALL treated with Erwinase

Exclusion Criteria:

  • not treated with Erwinase

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Children with ALL

A PK model for Erwinase will be established based on asparaginase enzyme activity TDM data obtained from Nordic/Baltic ALL patients treated under the NOPHO and A2G-1. Drug clearance, volume of distribution, absorption, and bioavailability will be derived to describe the PK of both routes of Erwinase administration (IV vs IM). Nonlinear mixed-effects modelling will be applied to obtain both typical population PK parameters as well as patient variability parameters. Potential changes in parameters within patients over time will also be explored.

Model development and evaluation will be conducted using NONMEM17. Model selection will be based on statistical fit and biological plausibility. Goodness of fit plots and visual predictive checks will ensure the PK model adequately describes the observed data.

2) The Erwinase PK model will be applied to explore alternative dosing strategies, as simultaneously achieving aimed target attainment (≥100 IU/L).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Pharmacokinetic Model
Time Frame: 12-31-2027

The investigators will establish a Pharmacokinetic Model (PK-model) for Erwinase.

A PK-model for Erwinase will be established based on asparaginase enzyme activity data obtained from Nordic/Baltic ALL patients treated under the NOPHO and A2G-1 protocol.

12-31-2027

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Drug clearence
Time Frame: 12-31-2027

Drug clearance will be derived to describe the pharmacokinetic of both routes of Erwinase administration (IV vs IM).

Nonlinear mixed-effects modelling will be applied to obtain both typical population PK parameters as well as patient variability parameters. Potential changes in parameters within patients over time will also be explored.

12-31-2027

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Volume of Erwinase distribution
Time Frame: 12.31.2027

Volume of distribution will be derived to describe the PK of both routes of Erwinase administration (IV vs IM).

Nonlinear mixed-effects modelling will be applied to obtain both typical population PK parameters as well as patient variability parameters. Potential changes in parameters within patients over time will also be explored.

12.31.2027
Absorption of Erwinase
Time Frame: 12.31.2026

Absorption will be derived to describe the PK of both routes of Erwinase administration (IV vs IM).

Nonlinear mixed-effects modelling will be applied to obtain both typical population PK parameters as well as patient variability parameters. Potential changes in parameters within patients over time will also be explored.

12.31.2026
Alternative dosing strategies
Time Frame: 12.31.2027
The Erwinase PK model will be applied to explore alternative dosing strategies, as simultaneously achieving aimed target attainment (≥100 IU/L)
12.31.2027
Bioavailability of Erwinase
Time Frame: 12.31.2026
Bioavailability will be derived to describe the PK of both routes of Erwinase administration (IV vs IM). Nonlinear mixed-effects modelling will be applied to obtain both typical population PK parameters as well as patient variability parameters. Potential changes in parameters within patients over time will also be explored.
12.31.2026

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Shiva Leisner, MD, Aarhus University Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2008

Primary Completion (Estimated)

June 30, 2026

Study Completion (Estimated)

January 30, 2028

Study Registration Dates

First Submitted

March 24, 2026

First Submitted That Met QC Criteria

March 24, 2026

First Posted (Actual)

March 30, 2026

Study Record Updates

Last Update Posted (Actual)

April 15, 2026

Last Update Submitted That Met QC Criteria

April 13, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

Yes

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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