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Recommendations for Biomarker Identification and Qualification in Clinical Proteomics
Author(s)
Date Issued
2010-08-25
Date Available
2013-11-28T17:26:20Z
Abstract
Clinical proteomics has yielded some early positive results—the identification of potential disease biomarkers—indicating the promise for this analytical approach to improve the current state of the art in clinical practice. However, the inability to verify some candidate molecules in subsequent studies has led to skepticism among many clinicians and regulatory bodies, and it has become evident that commonly encountered shortcomings in fundamental aspects of experimental design mainly during biomarker discovery must be addressed in order to provide robust data. In this Perspective, we assert that successful studies generally use suitable statistical approaches for biomarker definition and confirm results in independent test sets; in addition, we describe a brief set of practical and feasible recommendations that we have developed for investigators to properly identify and qualify proteomic biomarkers, which could also be used as reporting requirements. Such recommendations should help put proteomic biomarker discovery on the solid ground needed for turning the old promise into a new reality.
Type of Material
Journal Article
Publisher
American Association for the Advancement of Science
Journal
Science Translational Medicine
Volume
2
Issue
46
Start Page
46ps42
End Page
46ps42
Copyright (Published Version)
2010 American Association for the Advancement of Science
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
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