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Simultaneous quantification of palbociclib, ribociclib and letrozole in human plasma by a new LC-MS/MS method for clinical application. | LitMetric

AI Article Synopsis

  • A novel LC-MS/MS method was developed to quantify the CDK inhibitors palbociclib and ribociclib, as well as letrozole, in a clinical setting, featuring quick sample prep and minimal volume requirements.
  • The method was validated per FDA and EMA standards, demonstrating excellent linearity across therapeutic ranges for all three drugs.
  • Carryover issues were addressed, and the method proved reliable with a 10% variance limit and a correlation coefficient of 0.9994 in reproducibility tests on patient samples.

Article Abstract

A novel LC-MS/MS method was developed for the quantification of the new cyclin dependent kinase inhibitors (CDKIs) palbociclib and ribociclib and the aromatase inhibitor letrozole used in combinatory regimen. The proposed method is appropriate to be applied in clinical practice due to the simple and fast sample preparation based on protein precipitation, the low amount of patient sample necessary for the analysis (10 μL) and the total run time of 6.5 min. It was fully validated according to FDA and EMA guidelines on bioanalytical method validation. The linearity was assessed (R2 within 0.9992-0.9983) over the concentration ranges of 0.3-250 ng/mL for palbociclib, 10-10000 ng/mL for ribociclib and 0.5-500 ng/mL for letrozole that properly cover the therapeutic plasma concentrations. A specific strategy was implemented to reduce the carryover phenomenon, formerly known for these CDKIs. This method was applied to quantify the Cmin of palbociclib, ribociclib and letrozole in plasma samples from patients enrolled in a clinical study. The same set of study samples was analysed twice in separate runs to assess the reproducibility of the method by means of the incurred samples reanalysis. The results corroborated the reliability of the analyte concentrations obtained with the bioanalytical method, already proved by the validation process. The percentage differences were always within ±10% for all the analytes and the R2 of the correlation graph between the two quantifications was equal to 0.9994.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006908PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228822PLOS

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