Literature DB >> 28600397

Semimechanistic Bone Marrow Exhaustion Pharmacokinetic/Pharmacodynamic Model for Chemotherapy-Induced Cumulative Neutropenia.

Andrea Henrich1, Markus Joerger1, Stefanie Kraff1, Ulrich Jaehde1, Wilhelm Huisinga1, Charlotte Kloft2, Zinnia Patricia Parra-Guillen2.   

Abstract

Paclitaxel is a commonly used cytotoxic anticancer drug with potentially life-threatening toxicity at therapeutic doses and high interindividual pharmacokinetic variability. Thus, drug and effect monitoring is indicated to control dose-limiting neutropenia. Joerger et al. (2016) developed a dose individualization algorithm based on a pharmacokinetic (PK)/pharmacodynamic (PD) model describing paclitaxel and neutrophil concentrations. Furthermore, the algorithm was prospectively compared in a clinical trial against standard dosing (Central European Society for Anticancer Drug Research Study of Paclitaxel Therapeutic Drug Monitoring; 365 patients, 720 cycles) but did not substantially improve neutropenia. This might be caused by misspecifications in the PK/PD model underlying the algorithm, especially without consideration of the observed cumulative pattern of neutropenia or the platinum-based combination therapy, both impacting neutropenia. This work aimed to externally evaluate the original PK/PD model for potential misspecifications and to refine the PK/PD model while considering the cumulative neutropenia pattern and the combination therapy. An underprediction was observed for the PK (658 samples), the PK parameters, and these parameters were re-estimated using the original estimates as prior information. Neutrophil concentrations (3274 samples) were overpredicted by the PK/PD model, especially for later treatment cycles when the cumulative pattern aggravated neutropenia. Three different modeling approaches (two from the literature and one newly developed) were investigated. The newly developed model, which implemented the bone marrow hypothesis semiphysiologically, was superior. This model further included an additive effect for toxicity of carboplatin combination therapy. Overall, a physiologically plausible PK/PD model was developed that can be used for dose adaptation simulations and prospective studies to further improve paclitaxel/carboplatin combination therapy.
Copyright © 2017 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2017        PMID: 28600397     DOI: 10.1124/jpet.117.240309

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  8 in total

1.  Does Older Age Lead to Higher Risk for Neutropenia in Patients Treated with Paclitaxel?

Authors:  Marie-Rose B S Crombag; Stijn L W Koolen; Sophie Wijngaard; Markus Joerger; Thomas P C Dorlo; Nielka P van Erp; Ron H J Mathijssen; Jos H Beijnen; Alwin D R Huitema
Journal:  Pharm Res       Date:  2019-10-15       Impact factor: 4.200

2.  Pharmacokinetic-pharmacodynamic modelling of neutrophil response to G-CSF in healthy subjects and patients with chemotherapy-induced neutropenia.

Authors:  Murad Melhem; Isabelle Delor; Juan Jose Pérez-Ruixo; John Harrold; Andrew Chow; Liviawati Wu; Philippe Jacqmin
Journal:  Br J Clin Pharmacol       Date:  2018-02-20       Impact factor: 4.335

3.  A Pharmacometric Model to Predict Chemotherapy-Induced Myelosuppression and Associated Risk Factors in Non-Small Cell Lung Cancer.

Authors:  Kyemyung Park; Yukyung Kim; Mijeong Son; Dongwoo Chae; Kyungsoo Park
Journal:  Pharmaceutics       Date:  2022-04-22       Impact factor: 6.525

4.  A continued learning approach for model-informed precision dosing: Updating models in clinical practice.

Authors:  Corinna Maier; Jana de Wiljes; Niklas Hartung; Charlotte Kloft; Wilhelm Huisinga
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-12-27

5.  Population Pharmacokinetics of Palbociclib and Its Correlation with Clinical Efficacy and Safety in Patients with Advanced Breast Cancer.

Authors:  Perrine Courlet; Evelina Cardoso; Carole Bandiera; Athina Stravodimou; Jean-Philippe Zurcher; Haithem Chtioui; Isabella Locatelli; Laurent Arthur Decosterd; Léa Darnaud; Benoit Blanchet; Jérôme Alexandre; Anna Dorothea Wagner; Khalil Zaman; Marie Paule Schneider; Monia Guidi; Chantal Csajka
Journal:  Pharmaceutics       Date:  2022-06-21       Impact factor: 6.525

6.  Quantifying Drug-Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model.

Authors:  Chiara Fornari; Lenka Oplustil O'Connor; Carmen Pin; Aaron Smith; James W T Yates; S Y Amy Cheung; Duncan I Jodrell; Jerome T Mettetal; Teresa A Collins
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-10-20

7.  Bayesian Data Assimilation to Support Informed Decision Making in Individualized Chemotherapy.

Authors:  Corinna Maier; Niklas Hartung; Jana de Wiljes; Charlotte Kloft; Wilhelm Huisinga
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-01-31

8.  Reinforcement learning and Bayesian data assimilation for model-informed precision dosing in oncology.

Authors:  Corinna Maier; Niklas Hartung; Charlotte Kloft; Wilhelm Huisinga; Jana de Wiljes
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-03-07
  8 in total

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