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Clinical Trial
. 2016 Jul;408(19):5369-77.
doi: 10.1007/s00216-016-9634-5. Epub 2016 May 27.

Cross-validation of a mass spectrometric-based method for the therapeutic drug monitoring of irinotecan: implementation of matrix-assisted laser desorption/ionization mass spectrometry in pharmacokinetic measurements

Affiliations
Clinical Trial

Cross-validation of a mass spectrometric-based method for the therapeutic drug monitoring of irinotecan: implementation of matrix-assisted laser desorption/ionization mass spectrometry in pharmacokinetic measurements

Eleonora Calandra et al. Anal Bioanal Chem. 2016 Jul.

Abstract

Irinotecan is a widely used antineoplastic drug, mostly employed for the treatment of colorectal cancer. This drug is a feasible candidate for therapeutic drug monitoring due to the presence of a wide inter-individual variability in the pharmacokinetic and pharmacodynamic parameters. In order to determine the drug concentration during the administration protocol, we developed a quantitative MALDI-MS method using CHCA as MALDI matrix. Here, we demonstrate that MALDI-TOF can be applied in a routine setting for therapeutic drug monitoring in humans offering quick and accurate results. To reach this aim, we cross validated, according to FDA and EMA guidelines, the MALDI-TOF method in comparison with a standard LC-MS/MS method, applying it for the quantification of 108 patients' plasma samples from a clinical trial. Standard curves for irinotecan were linear (R (2) ≥ 0.9842) over the concentration ranges between 300 and 10,000 ng/mL and showed good back-calculated accuracy and precision. Intra- and inter-day precision and accuracy, determined on three quality control levels were always <12.8 % and between 90.1 and 106.9 %, respectively. The cross-validation procedure showed a good reproducibility between the two methods, the percentage differences within 20 % in more than 70 % of the total amount of clinical samples analysed.

Keywords: Bioanalytical methods; Drug monitoring/drug screening; Irinotecan; MALDI-TOF.

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