Literature DB >> 21083307

Systematic analytical validation of commercial kits for the determination of novel biomarkers for clinical drug development.

William Nowatzke1, Thomas G Cole, Ronald R Bowsher.   

Abstract

The use of biomarkers during clinical drug-development programs may expedite pipeline decision making by adding critical information about the pharmacological mechanism and efficacy of a potential therapeutic agent. Currently, advice for laboratorians conducting method development and analytical validation of biomarker methods is provided by published White Paper recommendations from industry thought leaders. The adaptation of commercial test kits to generate biomarker data to support regulated studies offers unique challenges and limitations. In this perspective, we address these issues, including factors to consider when identifying a kit manufacturer and adapting commercial test kits for use in regulated studies. We offer a logical and systematic approach for defining the extent of analytical validation needed for application of commercial kits based upon the intended use of the biomarker data.

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Year:  2010        PMID: 21083307     DOI: 10.4155/bio.09.191

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  4 in total

Review 1.  Ligand binding assays in the 21st century laboratory: recommendations for characterization and supply of critical reagents.

Authors:  Denise M O'Hara; Valerie Theobald; Adrienne Clements Egan; Joel Usansky; Murli Krishna; Julie TerWee; Mauricio Maia; Frank P Spriggs; John Kenney; Afshin Safavi; Jeannine Keefe
Journal:  AAPS J       Date:  2012-03-14       Impact factor: 4.009

2.  Tiered approaches to chromatographic bioanalytical method performance evaluation: recommendation for best practices and harmonization from the Global Bioanalysis Consortium harmonization team.

Authors:  S Lowes; R Hucker; M Jemal; J C Marini; V M Rezende; R Shoup; P Singhal; P Timmerman; T Yoneyama; N Weng; D Zimmer
Journal:  AAPS J       Date:  2014-10-23       Impact factor: 4.009

3.  An ion-current-based, comprehensive and reproducible proteomic strategy for comparative characterization of the cellular responses to novel anti-cancer agents in a prostate cell model.

Authors:  Chengjian Tu; Jun Li; Yahao Bu; David Hangauer; Jun Qu
Journal:  J Proteomics       Date:  2012-09-07       Impact factor: 4.044

4.  Highly multiplexed and reproducible ion-current-based strategy for large-scale quantitative proteomics and the application to protein expression dynamics induced by methylprednisolone in 60 rats.

Authors:  Eslam Nouri-Nigjeh; Siddharth Sukumaran; Chengjian Tu; Jun Li; Xiaomeng Shen; Xiaotao Duan; Debra C DuBois; Richard R Almon; William J Jusko; Jun Qu
Journal:  Anal Chem       Date:  2014-08-06       Impact factor: 6.986

  4 in total

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