Population Pharmacokinetics of PEGylated Asparaginase in Children with Acute Lymphoblastic Leukemia: Treatment Phase Dependency and Predictivity in Case of Missing Data.


Journal

European journal of drug metabolism and pharmacokinetics
ISSN: 2107-0180
Titre abrégé: Eur J Drug Metab Pharmacokinet
Pays: France
ID NLM: 7608491

Informations de publication

Date de publication:
Mar 2021
Historique:
accepted: 22 01 2021
pubmed: 18 2 2021
medline: 3 11 2021
entrez: 17 2 2021
Statut: ppublish

Résumé

The pharmacokinetics of polyethylene glycol-conjugated asparaginase (PEG-ASNase) are characterized by an increase in elimination over time, a marked increase in ASNase activity levels from induction to reinduction, and high inter- and intraindividual variability. A population pharmacokinetic (PopPK) model is required to estimate individual dose intensity, despite gaps in monitoring compliance. In the AIEOP-BFM ALL 2009 trial, two PEG-ASNase administrations (2500 U/m Compared to the first administration in induction (1374 patients, 6069 samples), the initial clearance and volume of distribution decreased by 11.0% and 15.9%, respectively, during the second administration during induction and by 41.2% and 28.4% during reinduction. Furthermore, the initial clearance linearly increased for children aged > 8 years and was 7.1% lower for females. The model was successfully externally validated (1253 patients, 5523 samples). In case of missing data, > 52% of the predictions for observations and > 82% for derived parameters were within ± 20% of the nominal value. A PopPK model that describes the complex pharmacokinetics of PEG-ASNase was successfully externally validated. AUC

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
The pharmacokinetics of polyethylene glycol-conjugated asparaginase (PEG-ASNase) are characterized by an increase in elimination over time, a marked increase in ASNase activity levels from induction to reinduction, and high inter- and intraindividual variability. A population pharmacokinetic (PopPK) model is required to estimate individual dose intensity, despite gaps in monitoring compliance.
METHODS METHODS
In the AIEOP-BFM ALL 2009 trial, two PEG-ASNase administrations (2500 U/m
RESULTS RESULTS
Compared to the first administration in induction (1374 patients, 6069 samples), the initial clearance and volume of distribution decreased by 11.0% and 15.9%, respectively, during the second administration during induction and by 41.2% and 28.4% during reinduction. Furthermore, the initial clearance linearly increased for children aged > 8 years and was 7.1% lower for females. The model was successfully externally validated (1253 patients, 5523 samples). In case of missing data, > 52% of the predictions for observations and > 82% for derived parameters were within ± 20% of the nominal value.
CONCLUSION CONCLUSIONS
A PopPK model that describes the complex pharmacokinetics of PEG-ASNase was successfully externally validated. AUC

Identifiants

pubmed: 33595793
doi: 10.1007/s13318-021-00670-8
pii: 10.1007/s13318-021-00670-8
pmc: PMC7935823
doi:

Substances chimiques

Antineoplastic Agents 0
Polyethylene Glycols 3WJQ0SDW1A
pegaspargase 7D96IR0PPM
Asparaginase EC 3.5.1.1

Banques de données

ClinicalTrials.gov
['NCT01117441']

Types de publication

Clinical Trial Journal Article Multicenter Study Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

289-300

Références

Asselin BL, Whitin JC, Coppola DJ, Rupp IP, Sallan SE, Cohen HJ. Comparative pharmacokinetic studies of three asparaginase preparations. J Clin Oncol. 1993;11(9):1780–6.
doi: 10.1200/JCO.1993.11.9.1780
Müller HJ, Löning L, Horn A, et al. Pegylated asparaginase (Oncaspar) in children with ALL: drug monitoring in reinduction according to the ALL/NHL-BFM 95 protocols. Br J Haematol. 2000;110(2):379–84.
doi: 10.1046/j.1365-2141.2000.02187.x
EU Clinical Trials Register. Dutch Childhood Oncology Group: Protocol ALL-11: Treatment study protocol of the Dutch Childhood Oncology Group for children and adolescents (1-19 year) with newly diagnosed acute lymphoblastic leukemia [online]. 2020. https://www.clinicaltrialsregister.eu/ctr-search/trial/2012-000067-25/NL . Accessed 25 Sep 2020.
ClinicalTrials.gov. Dana-Farber Cancer Institute. Treatment of Newly Diagnosed Acute Lymphoblastic Leukemia in Children and Adolescents [online]. 2020. https://clinicaltrials.gov/ct2/show/record/NCT03020030?cond=ALL%2C+Childhood&view=record . Accessed 25 Sep 2020.
EU Clinical Trials Register. AIEOP-BFM ALL 2009: International collaborative treatment protocol for children and adolescents with acute lymphoblastic leukemia [online]. 2020. https://www.clinicaltrialsregister.eu/ctr-search/trial/2007-004270-43/DE . Accessed 25 Sep 2020.
Lanvers-Kaminsky C. Asparaginase pharmacology: challenges still to be faced. Cancer Chemother Pharmacol. 2017;79(3):439–50.
doi: 10.1007/s00280-016-3236-y
Food and Drug Administration. Oncaspar (pegaspargase) injection label. Revised 01/2019 [online]. 2020. https://www.accessdata.fda.gov/drugsatfda_docs/label/2019/193411s5196lbl.pdf . Accessed 25 Sep 2020.
Kloos RQH, Pieters R, Jumelet FMV, de Groot-Kruseman HA, van den Bos C, van der Sluis IM. Individualized asparaginase dosing in childhood acute lymphoblastic leukemia. J Clin Oncol. 2020;38(7):715–24.
doi: 10.1200/JCO.19.02292
Kloos RQH, Mathôt R, Pieters R, van der Sluis IM. Individualized dosing guidelines for PEGasparaginase and factors influencing the clearance: a population pharmacokinetic model. Haematologica. 2020. https://doi.org/10.3324/haematol.2019.242289 .
doi: 10.3324/haematol.2019.242289 pubmed: 32327497 pmcid: 7049360
Würthwein G, Lanvers-Kaminsky C, Hempel G, et al. Population pharmacokinetics to model the time-varying clearance of the PEGylated Asparaginase Oncaspar® in children with acute lymphoblastic leukemia. Eur J Drug Metab Pharmacokinet. 2017;42(6):955–63.
doi: 10.1007/s13318-017-0410-5
Hempel G, Müller HJ, Lanvers-Kaminsky C, Würthwein G, Hoppe A, Boos J. A population pharmacokinetic model for pegylated-asparaginase in children. Br J Haematol. 2010;148(1):119–25.
doi: 10.1111/j.1365-2141.2009.07923.x
Würthwein G, Lanvers-Kaminsky C, Gerss J, et al. Therapeutic drug monitoring of asparaginase: intra-individual variability and predictivity in children with acute lymphoblastic leukemia treated with PEG-asparaginase in the AIEOP-BFM Acute Lymphoblastic Leukemia 2009 Study. Ther Drug Monit. 2020;42(3):435–44.
doi: 10.1097/FTD.0000000000000727
Lanvers C, Vieira Pinheiro JP, Hempel G, Wuerthwein G, Boos J. Analytical validation of a microplate reader-based method for the therapeutic drug monitoring of L-asparaginase in human serum. Anal Biochem. 2002;309(1):117–26.
doi: 10.1016/S0003-2697(02)00232-4
van der Sluis D, Vrooman LM, Pieters R, et al. Consensus expert recommendations for identification and management of asparaginase hypersensitivity and silent inactivation. Haematologica. 2016;101(3):279–85.
doi: 10.3324/haematol.2015.137380
R Core Team. R: A language and environment for statistical computing: a language and environment for statistical computing: R Foundation for Statistical Computing, Vienna, Austria; 2018.
Lindbom L, Pihlgren P, Jonsson EN. PsN-Toolkit—a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM. Comput Methods Programs Biomed. 2005;79(3):241–57.
doi: 10.1016/j.cmpb.2005.04.005
Keizer RJ, Karlsson MO, Hooker A. Modeling and Simulation Workbench for NONMEM: Tutorial on Pirana, PsN, and Xpose. CPT Pharmacometrics Syst Pharmacol. 2013;2:e50.
doi: 10.1038/psp.2013.24
Icon Development Solutions. NONMEM Users’s Guides: Ellicott City, Maryland; 2009.
Byon W, Smith MK, Chan P, et al. Establishing best practices and guidance in population modeling: an experience with an internal population pharmacokinetic analysis guidance. CPT Pharmacometrics Syst Pharmacol. 2013;2:e51.
doi: 10.1038/psp.2013.26
Mosteller RD. Simplified calculation of body-surface area. N Engl J Med. 1987;317(17):1098.
pubmed: 3657876
Broeker A, Nardecchia M, Klinker KP, et al. Towards precision dosing of vancomycin: a systematic evaluation of pharmacometric models for Bayesian forecasting. Clin Microbiol Infect. 2019;25(10):1286.e1-1286.e7.
doi: 10.1016/j.cmi.2019.02.029
Food and Drug Administration. Guidance for Industry. Draft Guidance 07/2019 [online]. 2020. https://www.fda.gov/media/128793/download . Accessed 4 Jan 2021.
Sun H, Fadiran EO, Jones CD, et al. Population pharmacokinetics. A regulatory perspective. Clin Pharmacokin. 1999;37(1):41–58.
doi: 10.2165/00003088-199937010-00003
Raes A, van Aken S, Craen M, Donckerwolcke R, Vande WJ. A reference frame for blood volume in children and adolescents. BMC Pediatr. 2006;6:3.
doi: 10.1186/1471-2431-6-3
European Medicines Agency. Guideline on bioanalytical method validation [online]. 2020. https://www.ema.europa.eu/en/documents/scientific-guideline/guideline-bioanalytical-method-validation_en.pdf . Accessed 25 Sep 2020.

Auteurs

Gudrun Würthwein (G)

Department of Pediatric Hematology and Oncology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany. wuerthg@ukmuenster.de.

Claudia Lanvers-Kaminsky (C)

Department of Pediatric Hematology and Oncology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.

Christian Siebel (C)

Department of Pediatric Hematology and Oncology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.

Joachim Gerß (J)

Institute of Biostatistics and Clinical Research, University Münster, Münster, Germany.

Anja Möricke (A)

Department of Pediatrics, Christian-Albrechts-University Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany.

Martin Zimmermann (M)

Department of Pediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany.

Jan Stary (J)

Department of Pediatric Hematology and Oncology, Charles University and University Hospital, Motol, Prague, Czech Republic.

Petr Smisek (P)

Department of Pediatric Hematology and Oncology, Charles University and University Hospital, Motol, Prague, Czech Republic.

Martin Schrappe (M)

Department of Pediatrics, Christian-Albrechts-University Kiel and University Medical Center Schleswig-Holstein, Kiel, Germany.

Carmelo Rizzari (C)

Pediatric Hematology-Oncology Unit, Department of Pediatrics, University of Milano-Bicocca, MBBM Foundation, ASST-Monza, Monza, Italy.

Massimo Zucchetti (M)

Department of Oncology, Laboratory of Cancer Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Georg Hempel (G)

Department of Pharmaceutical and Medical Chemistry-Clinical Pharmacy, Münster, Germany.

Sebastian G Wicha (SG)

Department of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Hamburg, Germany.

Joachim Boos (J)

Department of Pediatric Hematology and Oncology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH