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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

Academic Article
Publication Date:
2010
Short description:
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., Huitema, A., Krahenbuhl, S., Schellens, J., Cerny, T., Reni, M., Zucca, E., Cavalli, F., Ferreri, A.. - In: BRITISH JOURNAL OF CANCER. - ISSN 0007-0920. - 102:4(2010), pp. 673-677. [10.1038/sj.bjc.6605559]
abstract:
BACKGROUND: 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). PATIENTS AND METHODS: 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 AU(CHD-MTX) from population PK analysis was tested on drug toxicity and clinical outcome using multivariate logistic regression analysis and Cox hazards modelling. RESULTS: AUC(HD-MTX), the IELSG score and treatment group were significant predictors for treatment response (complete or partial) in the adjusted model. The AU(CHD-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 mu mol l(-1) h(-1) increase in AUC(HD-MTX). CONCLUSIONS: 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. British Journal of Cancer (2010) 102, 673-677. doi:10.1038/sj.bjc.6605559 www.bjcancer.com Published online 2 February 2010 (C) 2010 Cancer Research UK
Iris type:
1.1 Articolo in rivista
List of contributors:
Joerger, M; Huitema, Adr; Krahenbuhl, S; Schellens, Jhm; Cerny, T; Reni, M; Zucca, E; Cavalli, F; Ferreri, Ajm
Authors of the University:
FERRERI ANDRES JOSE MARIA
RENI MICHELE
Handle:
https://iris.unisr.it/handle/20.500.11768/124025
Published in:
BRITISH JOURNAL OF CANCER
Journal
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