Evidence map›Paper›PMID 42861858›Full record

ArticleJournal of clinical pharmacology2026

Development and Evaluation of a Population Pharmacokinetic Model for High-Dose Methotrexate in Japanese Pediatric Patients with Acute Lymphoblastic Leukemia.

Takuya Suzuoka, Tsubura Noda, Kota Tsuge, Yasuyoshi Ishiwata, Toshinori Hirai, Takeshi Isoda, Masatoshi Takagi, Masashi Nagata

Abstract read
In one paragraph

Article in Journal of clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Takuya SuzuokaDepartment of Pharmacy, Institute of Science Tokyo Hospital, Tokyo, Japan.
Tsubura NodaDepartment of Pharmacy, Institute of Science Tokyo Hospital, Tokyo, Japan.
Kota TsugeDepartment of Pharmacy, Institute of Science Tokyo Hospital, Tokyo, Japan.
Yasuyoshi IshiwataDepartment of Pharmacy, Institute of Science Tokyo Hospital, Tokyo, Japan.
Toshinori HiraiDepartment of Pharmacy, Institute of Science Tokyo Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3898-2068
Takeshi IsodaDepartment of Pediatrics and Developmental Biology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3349-3705
Masatoshi TakagiDepartment of Pediatrics and Developmental Biology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7580-9184
Masashi NagataDepartment of Pharmacy, Institute of Science Tokyo Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3169-7210

Funding

JSPS KAKENHI JP23K14409
6 · The paper itself

Abstract

Methotrexate is a key chemotherapeutic agent for treating pediatric acute lymphoblastic leukemia (ALL); however, its pharmacokinetics exhibit substantial inter-individual variability. Population pharmacokinetic (PPK) models have identified body weight and renal function as major determinants of methotrexate clearance. Nonetheless, the optimal PPK model for Japanese pediatric patients, considering hydration status, has not yet been established. This study aimed to develop a PPK model of high-dose methotrexate specifically for Japanese pediatric patients with ALL. A retrospective PPK analysis was performed in pediatric patients with ALL, who were treated with high-dose methotrexate at the Tokyo Medical and Dental University Hospital. Data from 38 patients (504 methotrexate concentrations; 27 for model development and 11 for validation) were analyzed using a two-compartment model in NONMEM. Predictive performances of the newly developed and previously published models were assessed using the validation dataset. In the final model, clearance was described as a function of body surface area and hydration volume rate per body surface area (HYDR), whereas intercompartmental clearance was associated with age and HYDR. Evaluation using the validation dataset showed that the developed model had the best predictive performance among the evaluated models (median prediction error, 1.79%; median absolute prediction error, 13.3%; percentage of predictions with an absolute prediction error ≤20%, 70.3%; percentage of predictions with an absolute prediction error ≤30%, 82.9%). Simulation revealed modestly improved target-attainment rates at relatively high hydration rates. These findings highlight the importance of fluid management and support the incorporation of hydration parameters into individualized high-dose methotrexate therapy.

Indexed as

Antimetabolites, AntineoplasticMethotrexateModels, BiologicalPrecursor Cell Lymphoblastic Leukemia-LymphomaAdolescentAsian PeopleBody Surface AreaChildChild, PreschoolDose-Response Relationship, DrugEast Asian PeopleFemaleHumansInfantJapanMaleAntimetabolites, AntineoplasticMethotrexatehigh‐dose methotrexatemethotrexatepediatric acute lymphoblastic leukemiapopulation pharmacokinetics

Identifiers

PMID42861858
PMCPMC13656769

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.