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Optimizing the Use of Biomarkers, Surrogate Endpoints, and Clinical Endpoints for More Efficient Drug Development
Author(s) -
Colburn Wayne A.
Publication year - 2000
Publication title -
the journal of clinical pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 116
eISSN - 1552-4604
pISSN - 0091-2700
DOI - 10.1177/009127000004001212
Subject(s) - surrogate endpoint , clinical endpoint , biomarker , endpoint determination , drug development , medicine , pharmacodynamics , biomarker discovery , clinical trial , intensive care medicine , drug , pharmacokinetics , pharmacology , biology , proteomics , biochemistry , gene
Biomarkers and surrogate endpoints are critical to the future of efficient drug development. Definitions, a conceptual model, and a conceptual framework for validating and bridging biomarkers to clinical endpoints are provided in this presentation. In addition, a few examples are provided to support the development concept. Poor correlation between a biomarker and its clinical endpoint may result from (1) poor measurement of one or both, (2) selection of an inappropriate biomarker, or, more important, (3) use of an inappropriate clinical endpoint. Pharmacokinetic/pharmacodynamic (PK/PD) modeling output can be no better than biomarkers or surrogate endpoints used for the modeling. As we increase our understanding of biomarkers, surrogate markers, and the mechanistic basis for the processes of interest, biomarker and surrogate endpoint predictive power will no longer be an issue and PK/PD modeling inputs and outputs will improve.