British Journal of Haematology · 2014 · 43 citations · 32 references
PharmacyPharmacokineticsPharmacologyPharmacogeneticsPharmacogenomicsPharmacokinetic VariabilityDrug Metabolism GeneticsDrug Transporter GeneticsPharmacogenomics In Pediatric OncologyPharmacokinetics In Children With CancerDrug Metabolism PolymorphismsFolate Metabolism GeneticsFolate Metabolism VariationHigh-dose Methotrexate PharmacokineticsHigh-dose Methotrexate TherapyInterpatient Variability AnalysisMethylenetetrahydrofolate Reductase PolymorphismsSingle-nucleotide Polymorphisms
High-dose methotrexate (HD-MTX) plays an important role in the consolidation therapy of acute lymphoblastic leukaemia (ALL) in many treatment regimens worldwide. However, there is a large interpatient variability in the pharmacokinetics and toxicity of the drug. We investigated the influence of single nucleotide polymorphisms (SNPs) in genes of the folate metabolic pathway, transporter molecules and transcription proteins on the pharmacokinetics and toxicity of MTX and 7-hydroxy-methotrexate (7-OH-MTX). 63 SNPs of 14 genes were genotyped and a total of 463 HD-MTX courses (administered according to the ALL-BFM 95 and ALL IC-BFM 2002 protocols) were analysed. Haematological, hepatic and renal toxicities, estimated by routine laboratory parameters were evaluated. Random forest and regression trees were used for variable selection and model building. Linear mixed models were established to prove the significance of the selected variables. SNPs (rs4948502, rs4948496, rs4948487) of the ARID5B gene were associated with the serum levels of MTX (P < 0·02), serum levels and area under the curve of 7-OH-MTX (P < 0·02) and with hypoproteinaemia (P = 0·004). SLCO1B1 rs4149056 also showed a significant association with serum MTX levels (P < 0·001). Our findings confirm the association of novel genetic variations in folate-related and ARID5B genes with the serum MTX levels and acute toxicity.
32
Mixed-Effects Models in S and S-PLUS
Technometrics · 2001 · 9.4K citations · Full text
Conditional variable importance for random forests
Carolin Strobl, Anne‐Laure Boulesteix, Thomas Kneib et al. · BMC Bioinformatics · 2008 · 3.2K citations · Full text
Carolin Strobl, James D. Malley, Gerhard Tutz · Psychological Methods · 2009 · 2.6K citations · Full text