A Pharmacokinetic and Pharmacogenetic Analysis of Osteosarcoma Patients Treated With High‐Dose Methotrexate: Data From the OS2006/Sarcoma‐09 Trial

单核苷酸多态性 药物遗传学 SLCO1B1型 医学 体表面积 药理学 药代动力学 人口 内科学 SNP公司 肿瘤科 基因型 生物 遗传学 基因 环境卫生
作者
Gabrielle Lui,Jean‐Marc Tréluyer,Brice Fresneau,Sophie Piperno‐Neumann,Nathalie Gaspar,Nadège Corradini,Jean‐Claude Gentet,Perrine Marec Bérard,Valérie Laurence,Pascale Schneider,Natacha Entz‐Werlé,Hélène Pacquement,Frédéric Millot,Sophie Taque,Claire Freyçon,Cyril Lervat,Marie-Cécile Le Deley,Céline Mahier - Aït Oukhatar,Laurence Brugières,Gwénaël Le Teuff,Naïm Bouazza
出处
期刊:The Journal of Clinical Pharmacology [Wiley]
卷期号:58 (12): 1541-1549 被引量:30
标识
DOI:10.1002/jcph.1252
摘要

Growing evidence suggests that polymorphisms of genes coding for transporters or enzymes may partially explain the large between subject variability reported for methotrexate (MTX) pharmacokinetics (PK). This prospective study aimed to develop a population PK-pharmacogenetic model to evaluate the part of between-subject variability due to single-nucleotide polymorphisms (SNPs) in transporters and enzyme genes implicated in MTX distribution and elimination. MTX concentrations and 54 SNPs (located in ABCB1, ABCC1, ABCC2, ABCC3, ABCC4, ABCG2, SLC19A1, SLCO1B1, and UGT1A1 genes) were analyzed in patients treated with MTX included in the OS2006/sarcoma-09 trial (a multicenter, open-label, phase III trial, ClinicalTrials.gov. Identifier: NCT00470223). PK data were analyzed using the nonlinear mixed-effect modeling software program Monolix. The influence of each SNP was evaluated using a stepwise procedure under additive, recessive, or dominant genetic model. The likelihood ratio test was used to test the effect of each SNP on PK parameters. Overall, 187 patients with 7898 MTX blood concentrations were included in the PK-pharmacogenetic analysis. A 2-compartment model adequately described the data. Although high-dose MTX dosing recommendations in pediatric patients are currently based on body surface area, body weight was more predictive of clearance between-subject variability than body surface area. The most significant polymorphism associated with MTX clearance was rs13120400 (on the ABCG2 gene) under the recessive genetic model (P < .0001). GG genotype carriers for rs13120400 appeared to have a moderate decrease in MTX exposure compared to AA or GA carriers.
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