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Recommendations for classification of commercial LBA kits for biomarkers in drug development from the GCC for bioanalysis

Authors :
Mathilde Yu
Michele Malone
John Stamatopoulos
Christina Satterwhite
George Hristopoulos
Simona Rizea Savu
Mohammed Bouhajib
Chad Briscoe
Edward Tabler
Philippe Couerbe
Edward Wells
Ardeshir Khadang
Ira DuBey
Sian Estdale
Mark Warren
Hanna Ritzén
Wei Garofolo
Franklin Spriggs
Arron Xu
Chris Beaver
Jennifer Zimmer
Iohann Boulay
Anahita Keyhani
Kayode Awaiye
Vellalore Kakkanaiah
Curtis Sheldon
Jessica St Charles
Roger Hayes
Patrick Bennett
James Bourdage
Yi Qun Xiao
Marc Moussallie
Sumit Kar
Shane Karnik
Rabab Tayyem
Maria Cruz Caturla
Clark V. Williard
Hao Wang
Nadia Kulagina
Nicola Hughes
Robert MacNeill
Luigi DiMarco
Andrew Dinan
Kathie Lindley
Natasha Savoie
Xinping Fang
Chantal DiMarco
Bruce Stouffer
Jenifer Vija
Corey Nehls
Stephanie Cape
Eric Thomas
John Lindsay
Paul Rhyne
Michael E. Brown
Jenny Lin
Amanda Hays
Allan Xu
Hao Feng
Lawrence Goodwin
Rafiq Islam
Colin Barry
Dave Williams
Source :
Bioanalysis. 11(7)
Publication Year :
2019

Abstract

Over the last decade, the use of biomarker data has become integral to drug development. Biomarkers are not only utilized for internal decision-making by sponsors; they are increasingly utilized to make critical decisions for drug safety and efficacy. As the regulatory agencies are routinely making decisions based on biomarker data, there has been significant scrutiny on the validation of biomarker methods. Contract research organizations regularly use commercially available immunoassay kits to validate biomarker methods. However, adaptation of such kits in a regulated environment presents significant challenges and was one of the key topics discussed during the 12th Global Contract Research Organization Council for Bioanalysis (GCC) meeting. This White Paper reports the GCC members’ opinion on the challenges facing the industry and the GCC recommendations on the classification of commercial kits that can be a win-win for commercial kit vendors and end users.

Details

ISSN :
17576199
Volume :
11
Issue :
7
Database :
OpenAIRE
Journal :
Bioanalysis
Accession number :
edsair.doi.dedup.....34219e762535ddd3b0da39d50cd5b1ec