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Centanni M, van de Velde ME, Uittenboogaard A, Kaspers GJL, Karlsson MO, Friberg LE. Model-Informed Precision Dosing to Reduce Vincristine-Induced Peripheral Neuropathy in Pediatric Patients: A Pharmacokinetic and Pharmacodynamic Modeling and Simulation Analysis. Clin Pharmacokinet 2024; 63:197-209. [PMID: 38141094 PMCID: PMC10847206 DOI: 10.1007/s40262-023-01336-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Vincristine-induced peripheral neuropathy (VIPN) is a common adverse effect of vincristine, a drug often used in pediatric oncology. Previous studies demonstrated large inter- and intrapatient variability in vincristine pharmacokinetics (PK). Model-informed precision dosing (MIPD) can be applied to calculate patient exposure and individualize dosing using therapeutic drug monitoring (TDM) measurements. This study set out to investigate the PK/pharmacodynamic (PKPD) relationship of VIPN and determine the utility of MIPD to support clinical decisions regarding dose selection and individualization. METHODS Data from 35 pediatric patients were utilized to quantify the relationship between vincristine dose, exposure and the development of VIPN. Measurements of vincristine exposure and VIPN (Common Terminology Criteria for Adverse Events [CTCAE]) were available at baseline and for each subsequent dosing occasions (1-5). A PK and PKPD analysis was performed to assess the inter- and intraindividual variability in vincristine exposure and VIPN over time. In silico trials were performed to portray the utility of vincristine MIPD in pediatric subpopulations with a certain age, weight and cytochrome P450 (CYP) 3A5 genotype distribution. RESULTS A two-compartmental model with linear PK provided a good description of the vincristine exposure data. Clearance and distribution parameters were related to bodyweight through allometric scaling. A proportional odds model with Markovian elements described the incidence of Grades 0, 1 and ≥ 2 VIPN overdosing occasions. Vincristine area under the curve (AUC) was the most significant exposure metric related to the development of VIPN, where an AUC of 50 ng⋅h/mL was estimated to be related to an average VIPN probability of 40% over five dosing occasions. The incidence of Grade ≥ 2 VIPN reduced from 62.1 to 53.9% for MIPD-based dosing compared with body surface area (BSA)-based dosing in patients. Dose decreases occurred in 81.4% of patients with MIPD (vs. 86.4% for standard dosing) and dose increments were performed in 33.4% of patients (no dose increments allowed for standard dosing). CONCLUSIONS The PK and PKPD analysis supports the use of MIPD to guide clinical dose decisions and reduce the incidence of VIPN. The current work can be used to support decisions with respect to dose selection and dose individualization in children receiving vincristine.
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Affiliation(s)
- Maddalena Centanni
- Department of Pharmacy, Uppsala University, Box 580, 751 23, Uppsala, Sweden
| | - Mirjam E van de Velde
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Pediatric Oncology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Aniek Uittenboogaard
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Pediatric Oncology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gertjan J L Kaspers
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Pediatric Oncology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mats O Karlsson
- Department of Pharmacy, Uppsala University, Box 580, 751 23, Uppsala, Sweden
| | - Lena E Friberg
- Department of Pharmacy, Uppsala University, Box 580, 751 23, Uppsala, Sweden.
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Sallustio BC, Boddy AV. Is there scope for better individualisation of anthracycline cancer chemotherapy? Br J Clin Pharmacol 2020; 87:295-305. [PMID: 33118175 DOI: 10.1111/bcp.14628] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 10/13/2020] [Accepted: 10/17/2020] [Indexed: 12/11/2022] Open
Abstract
Anthracyclines are used to treat solid and haematological cancers, particularly breast cancers, lymphomas and childhood cancers. Myelosuppression and cardiotoxicity are the primary toxicities that limit treatment duration and/or intensity. Cardiotoxicity, particularly heart failure, is a leading cause of morbidity and mortality in cancer survivors. Cumulative anthracycline dose is a significant predictor of cardiotoxicity risk, suggesting a role for anthracycline pharmacokinetic variability. Population pharmacokinetic modelling in children has shown that doxorubicin clearance in the very young is significantly lower than in older children, potentially contributing to their higher risk of cardiotoxicity. A model of doxorubicin clearance based on body surface area and age offers a patient-centred dose-adjustment strategy that may replace the current disparate initial-dose selection tools, providing a rational way to compensate for pharmacokinetic variability in children aged <7 years. Population pharmacokinetic models in adults have not adequately addressed older ages, obesity, hepatic and renal dysfunction, and potential drug-drug interactions to enable clinical application. Although candidate gene and genome-wide association studies have investigated relationships between genetic variability and anthracycline pharmacokinetics or clinical outcomes, there have been few clinically significant reproducible associations. Precision-dosing of anthracyclines is currently hindered by lack of clinically useful pharmacokinetic targets and models that predict cumulative anthracycline exposures. Combined with known risk factors for cardiotoxicity, the use of advanced echocardiography and biomarkers, future validated pharmacokinetic targets and predictive models could facilitate anthracycline precision dosing that truly maximises efficacy and provides individualised early intervention with cardioprotective therapies in patients at risk of cardiotoxicity.
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Affiliation(s)
- Benedetta C Sallustio
- Department of Clinical Pharmacology, Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Woodville South, SA, Australia.,Discipline of Pharmacology, Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | - Alan V Boddy
- School of Pharmacy and Medical Sciences and UniSA Cancer Research Institute, University of South Australia, Adelaide, SA, Australia
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Siebel C, Würthwein G, Lanvers-Kaminsky C, André N, Berthold F, Castelli I, Chastagner P, Doz F, English M, Escherich G, Frühwald MC, Graf N, Groll AH, Ruggiero A, Hempel G, Boos J. Can we optimise doxorubicin treatment regimens for children with cancer? Pharmacokinetic simulations and a Delphi consensus procedure. BMC Pharmacol Toxicol 2020; 21:37. [PMID: 32466789 PMCID: PMC7254632 DOI: 10.1186/s40360-020-00417-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 05/19/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Despite its cardiotoxicity doxorubicin is widely used for the treatment of paediatric malignancies. Current treatment regimens appear to be suboptimal as treatment strategies vary and do not follow a clear pharmacological rationale. Standardisation of dosing strategies in particular for infants and younger children is required but is hampered by scarcely defined exposure-response relationships. The aim is to provide a rational dosing concept allowing for a reduction of variability in systemic therapy intensity and subsequently unforeseen side effects. METHODS Doxorubicin plasma concentrations in paediatric cancer patients were simulated for different treatment schedules using a population pharmacokinetic model which considers age-dependent differences in doxorubicin clearance. Overall drug exposure and peak concentrations were assessed. Simulation results were used to support a three round Delphi consensus procedure with the aim to clarify the pharmacological goals of doxorubicin dosing in young children. A group of 28 experts representing paediatric trial groups and clinical centres were invited to participate in this process. RESULTS Pharmacokinetic simulations illustrated the substantial differences in therapy intensity associated with current dosing strategies. Consensus among the panel members was obtained on a standardised a priori dose adaptation that individualises doxorubicin doses based on age and body surface area targeting uniform drug exposure across children treated with the same protocol. Further, a reduction of peak concentrations in very young children by prolonged infusion was recommended. CONCLUSIONS An approach to standardise current dose modification schemes in young children is proposed. The consented concept takes individual pharmacokinetic characteristics into account and involves adaptation of both the dose and the infusion duration potentially improving the safety of doxorubicin administration.
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Affiliation(s)
- Christian Siebel
- Department of Paediatric Haematology and Oncology, University Children's Hospital Muenster, Albert-Schweitzer-Campus 1, A1, 48149, Muenster, Germany
| | - Gudrun Würthwein
- Department of Paediatric Haematology and Oncology, University Children's Hospital Muenster, Albert-Schweitzer-Campus 1, A1, 48149, Muenster, Germany
| | - Claudia Lanvers-Kaminsky
- Department of Paediatric Haematology and Oncology, University Children's Hospital Muenster, Albert-Schweitzer-Campus 1, A1, 48149, Muenster, Germany
| | - Nicolas André
- Department of Paediatric Haematology-Oncology, La Timone University Hospital of Marseille, Marseille, France
| | - Frank Berthold
- Department of Paediatric Oncology and Haematology, University Children's Hospital Cologne, Cologne, Germany
| | - Ilaria Castelli
- Department of Paediatrics, University of Milano-Bicocca, Hospital S Gerardo, Monza, Italy
| | - Pascal Chastagner
- Department of Paediatric Oncology, CHRU Nancy, Vandoeuvre Les Nancy, France
| | - François Doz
- Oncology Center SIREDO, Institut Curie and University Paris Descartes, Paris, France
| | - Martin English
- Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, UK
| | - Gabriele Escherich
- University Medical Centre Eppendorf, Clinic of Paediatric Haematology and Oncology, Hamburg, Germany
| | - Michael C Frühwald
- Swabian Children's Cancer Centre, University Children's Hospital Augsburg, Augsburg, Germany
| | - Norbert Graf
- Department of Paediatric Haematology/Oncology, Saarland University, Homburg/Saar, Germany
| | - Andreas H Groll
- Department of Paediatric Haematology and Oncology, University Children's Hospital Muenster, Albert-Schweitzer-Campus 1, A1, 48149, Muenster, Germany
| | - Antonio Ruggiero
- Division of Paediatric Oncology, Catholic University of Rome, Rome, Italy
| | - Georg Hempel
- Department of Pharmaceutical and Medical Chemistry - Clinical Pharmacy, University of Muenster, Muenster, Germany
| | - Joachim Boos
- Department of Paediatric Haematology and Oncology, University Children's Hospital Muenster, Albert-Schweitzer-Campus 1, A1, 48149, Muenster, Germany.
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