Sparse-data set analysis for irinotecan and SN-38 pharmacokinetics in cancer patients co-treated with cisplatin

The clinical pharmacokinetics of the antineoplastic agent Irinotecan (CPT-11) are associated with substantial Inter-patient variability. The degree to which this variability In CPT-11 exposure Impacts upon the response and toxicity of the drug has not yet been properly determined. In general, the ar...

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Veröffentlicht in:Anti-cancer drugs 1999-01, Vol.10 (1), p.9-16
Hauptverfasser: Mathijssen, Ron HJ, van Alphen, Robbert J, de Jonge, Maja JA, Verweij, Jaap, de Bruijn, Peter, Loos, Walter J, Nooter, Kees, Vernillet, Laurent, Stoter, Gerrit, Sparreboom, Alex
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Sprache:eng
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Zusammenfassung:The clinical pharmacokinetics of the antineoplastic agent Irinotecan (CPT-11) are associated with substantial Inter-patient variability. The degree to which this variability In CPT-11 exposure Impacts upon the response and toxicity of the drug has not yet been properly determined. In general, the area under the plasma concentration-time curve (AUC) is an appropriate indicator of exposure, but requires collection of up to 17 timed blood samples. This presents difficulties if large-scale population samplings are required. The present study involved the development and validation of a strategy to estimate the AUCs of thelactone and total (i.e. lactone plus carboxylate) forms of CPT-11 and its active metabolite SN-38 from a limited number of blood samples in patients co-treated with cisplatin. Using data from 24 patients, univariate and multivariate regression analyses were employed to generate the models. The best predictive models for simultaneous estimation of CPT-11 and SN-38 AUCs were obtained with three time points at 0.5,1.67 and 5.50 h after start of the 90 min l.v. infusion of CPT-11. The models were tested separately in another group of 24 patients receiving the same combination treatment. This validation set demonstrated that CPT-11 and SN-38 AUCs after standard does administration could be predicted sufficiently unbiased and precisely with three timed samples to warrant clinical application.
ISSN:0959-4973
1473-5741
DOI:10.1097/00001813-199901000-00002