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Methotrexate area under the curve is an important outcome predictor in patients with primary CNS lymphoma : a pharmacokinetic-pharmacodynamic analysis from the IELSG no. 20 trial

Joerger, M. and Huitema, A. D. R. and Krähenbühl, S. and Schellens, J. H. M. and Cerny, T. and Reni, M. and Zucca, E. and Cavalli, F. and Ferreri, A. J. M.. (2010) Methotrexate area under the curve is an important outcome predictor in patients with primary CNS lymphoma : a pharmacokinetic-pharmacodynamic analysis from the IELSG no. 20 trial. British journal of cancer, Vol. 102, H. 4. pp. 673-677.

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Official URL: http://edoc.unibas.ch/dok/A5841938

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Abstract

This analysis was initiated to define the predictive value of the area under the curve of high-dose methotrexate (AUC(HD-MTX)) in patients with primary central nervous system lymphoma (PCNSL).; We included 55 patients with PCNSL and available pharmacokinetic (PK) data from the International Extranodal Lymphoma Study Group (IELSG) no. 20 trial, randomised to HD-MTX (n=30) or HD-MTX and high-dose cytarabine (HD-AraC) (n=25). Individual AUC(HD-MTX) from population PK analysis was tested on drug toxicity and clinical outcome using multivariate logistic regression analysis and Cox hazards modelling.; AUC(HD-MTX), the IELSG score and treatment group were significant predictors for treatment response (complete or partial) in the adjusted model. The AUC(HD-MTX) did not predict toxicity, with the exception of liver toxicity and neutropaenia. A high AUC(HD-MTX) was associated with better event-free survival (EFS) (P=0.01) and overall survival (OAS) (P=0.02). Both the AUC(HD-MTX) and the IELSG score were significant predictors of EFS and OAS in the adjusted model, with a hazard ratio of 0.82 and 0.73, respectively, per 100 micromol l(-1) h(-1) increase in AUC(HD-MTX).; Individualised dosing of HD-MTX might have the potential to improve clinical outcome in patients with PCNSL, even when administered concurrently with HD-AraC. In the future, this could be carried out by using first-cycle PK modelling with determination of potential dose adaptations for later cycles using Bayesian analysis.
Faculties and Departments:03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Klinische Pharmakologie > Klinische Pharmakologie (Krähenbühl)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Klinische Pharmakologie > Klinische Pharmakologie (Krähenbühl)
05 Faculty of Science > Departement Pharmazeutische Wissenschaften > Ehemalige Einheiten Pharmazie > Pharmakologie (Krähenbühl)
UniBasel Contributors:Krähenbühl, Stephan
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Nature Publishing Group
ISSN:1532-1827
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:24 May 2013 09:10
Deposited On:26 Apr 2013 06:55

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