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From Prospective Evaluation to Practice: Model-Informed Dose Optimization in Oncology
Bram C Agema1,2, Birgit C P Koch3,4, Ron H J Mathijssen5
1Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands. b.agema@erasmusmc.nl.
Abstract:
One dose does not fit all, especially in oncolytic drugs, where side effects and therapy failures highlight the need for personalized dosing approaches. In recent years, the quest to apply model-informed precision dosing to oncology drugs has gained significant momentum, reflecting its potential to revolutionize patient care by tailoring treatments to individual pharmacokinetic profiles. Despite this progress, model-informed precision dosing has not (yet) become widely integrated into routine clinical care. We aimed to explain model-informed precision dosing from a clinical viewpoint while addressing all prospective model-informed precision dosing implementation and validation studies in the field of oncology. We identified 16 different drugs for which prospective model-informed precision dosing validation/implementation has been performed. Although these studies are mostly focused on attaining adequate drug exposures and reducing inter-individual variability, improved clinical outcomes after performing model-informed precision dosing were shown for busulfan, and high-dose methotrexate. Toxicities were significantly reduced for busulfan and cyclophosphamide treatment. In contrast, for carboplatin, for which model-informed precision dosing has been used in the Calvert formula, no prospective validation on outcomes was deemed necessary as the therapeutic window had been extensively validated. Model-informed precision dosing has shown to be of added value in oncology and is expected to significantly change dosing regimens in the future.
Insights
Model-informed precision dosing tailors cancer drug treatments to individual patients. While not yet standard, studies show it improves outcomes and reduces toxicity for certain oncology drugs, highlighting its future clinical value.
Area of Science:
- Oncology
- Pharmacokinetics
- Clinical Pharmacology
Background:
- Individual variability in drug response necessitates personalized dosing strategies in oncology.
- Current dosing regimens for oncolytic drugs often lead to side effects and treatment failures.
- Model-informed precision dosing (MIPD) offers a promising approach to optimize cancer therapy.
Purpose of the Study:
- To provide a clinical perspective on model-informed precision dosing in oncology.
- To review prospective implementation and validation studies of MIPD in cancer treatment.
- To assess the current status and future potential of MIPD in clinical oncology.
Main Methods:
- Literature review of prospective studies on model-informed precision dosing in oncology.
- Identification of drugs with implemented or validated MIPD protocols.
- Analysis of study outcomes focusing on drug exposure, variability, clinical efficacy, and toxicity.
Main Results:
- Sixteen drugs were identified with prospective MIPD validation/implementation studies.
- Improved clinical outcomes were observed for busulfan and high-dose methotrexate with MIPD.
- Reduced toxicities were noted for busulfan and cyclophosphamide treatments.
- Carboplatin dosing via the Calvert formula, a form of MIPD, did not require further outcome validation due to its established therapeutic window.
Conclusions:
- Model-informed precision dosing demonstrates added value in oncology.
- MIPD has the potential to significantly alter future cancer drug dosing regimens.
- Further integration of MIPD into routine clinical practice is anticipated.
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