Literature DB >> 25970506

Long-term cross-validation of everolimus therapeutic drug monitoring assays: the Zortracker study.

Björn Schniedewind1, Stefanie Niederlechner, Jeffrey L Galinkin, Kamisha L Johnson-Davis, Uwe Christians, Eric J Meyer.   

Abstract

BACKGROUND: This ongoing academic collaboration was initiated for providing support to set up, validate, and maintain everolimus therapeutic drug monitoring assays and to study long-term interlaboratory performance.
METHODS: This study was based on EDTA whole blood samples collected from transplant patients treated with everolimus in a prospective clinical trial. Samples were handled under controlled conditions during collection, storage and were shipped on dry ice to minimize freeze-thaw cycles. For more than 1.5 years, participating laboratories received a set of 3 blinded samples on a monthly basis. Among others, these samples included individual patient samples, patient sample pools to assess long-term performance, and patient samples pools enriched with isolated everolimus metabolites.
RESULTS: The results between liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) and the everolimus Quantitative Microsphere System (QMS, Thermo Fisher) assay were comparable. The monthly interlaboratory variability (coefficient of variation %) for cross-validation samples ranged from 6.5% to 23.2% (average of 14.8%) for LC-MS/MS and 4.2% to 26.4% (average of 11.1%) for laboratories using the QMS assay. A blinded long-term pool sample was sent to the laboratories for 13 months. The result was 5.31 ± 0.86 ng/mL (range, 2.9-7.8 ng/mL) for the LC-MS/MS and 5.20 ± 0.54 ng/mL (range, 4.0-6.8 ng/mL) for QMS laboratories. Enrichment of patient sample pools with 5-25 ng/mL of purified everolimus metabolites (46-hydroxy everolimus and 39-O-desmethyl everolimus) did not affect the results of either LC-MS/MS or QMS assays.
CONCLUSIONS: Both LC-MS/MS and QMS assays gave similar results and showed similar performance, albeit with a trend toward higher interlaboratory variability among laboratories using LC-MS/MS than the QMS assay.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25970506      PMCID: PMC4820066          DOI: 10.1097/FTD.0000000000000191

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  19 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

Review 2.  Development of everolimus, a novel oral mTOR inhibitor, across a spectrum of diseases.

Authors:  David Lebwohl; Ozlem Anak; Tarek Sahmoud; Judith Klimovsky; Ingrid Elmroth; Tomas Haas; Joseph Posluszny; Stephen Saletan; William Berg
Journal:  Ann N Y Acad Sci       Date:  2013-05-09       Impact factor: 5.691

3.  Evaluation of QMS everolimus assay using Hitachi 917 Analyzer: comparison with liquid chromatography/mass spectrometry.

Authors:  Amitava Dasgupta; Bonnet Davis; Loretta Chow
Journal:  Ther Drug Monit       Date:  2011-04       Impact factor: 3.681

4.  Standardization of LC-MS for therapeutic drug monitoring of tacrolimus.

Authors:  Thomas M Annesley; Denise A McKeown; David W Holt; Christopher Mussell; Elodie Champarnaud; Leonie Harter; Lisa J Calton; Donald S Mason
Journal:  Clin Chem       Date:  2013-07-31       Impact factor: 8.327

5.  The need for standardization of tacrolimus assays.

Authors:  Daniel M Levine; Gregory T Maine; David A Armbruster; Christopher Mussell; Christoph Buchholz; Gavin O'Connor; Victoria Tuck; Atholl Johnston; David W Holt
Journal:  Clin Chem       Date:  2011-10-13       Impact factor: 8.327

6.  Analytical performance of QMS everolimus assay on ortho Vitros 5,1 FS fusion analyzer: measuring everolimus trough levels for solid organ transplant recipients.

Authors:  Irene Shu; Angela M Wright; Wayne L Chandler; David W Bernard; Ping Wang
Journal:  Ther Drug Monit       Date:  2014-04       Impact factor: 3.681

7.  Identification of everolimus metabolite patterns in trough blood samples of kidney transplant patients.

Authors:  Tobin Strom; Manuel Haschke; Yan Ling Zhang; Jamie Bendrick-Peart; Jared Boyd; Mark Roberts; Lili Arabshahi; Peter Marbach; Uwe Christians
Journal:  Ther Drug Monit       Date:  2007-10       Impact factor: 3.681

Review 8.  Everolimus: an update on the mechanism of action, pharmacokinetics and recent clinical trials.

Authors:  Ana I Sánchez-Fructuoso
Journal:  Expert Opin Drug Metab Toxicol       Date:  2008-06       Impact factor: 4.481

Review 9.  Review of the newest HPLC methods with mass spectrometry detection for determination of immunosuppressive drugs in clinical practice.

Authors:  Magdalena Korecka; Leslie M Shaw
Journal:  Ann Transplant       Date:  2009 Apr-Jun       Impact factor: 1.530

10.  Crossreactivity of isolated everolimus metabolites with the Innofluor Certican immunoassay for therapeutic drug monitoring of everolimus.

Authors:  Tobin Strom; Manuel Haschke; Jared Boyd; Mark Roberts; Lili Arabshahi; Peter Marbach; Uwe Christians
Journal:  Ther Drug Monit       Date:  2007-12       Impact factor: 3.681

View more
  1 in total

1.  Targeted and global pharmacometabolomics in everolimus-based immunosuppression: association of co-medication and lysophosphatidylcholines with dose requirement.

Authors:  Dorothea Lesche; Vilborg Sigurdardottir; Alexander B Leichtle; Christos T Nakas; Uwe Christians; Lars Englberger; Martin Fiedler; Carlo R Largiadèr; Paul Mohacsi; Johanna Sistonen
Journal:  Metabolomics       Date:  2017-11-25       Impact factor: 4.290

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.