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Journal of the National Cancer Institute Advance Access published online on October 7, 2008

JNCI Journal of the National Cancer Institute, doi:10.1093/jnci/djn326
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© 2008 The Author(s).
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


COMMENTARY

Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design

Margaret S. Pepe, Ziding Feng, Holly Janes, Patrick M. Bossuyt, John D. Potter

Affiliations of authors: Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA (MSP, ZF, HJ, JDP); Department of Clinical Epidemiology, Academic Medical Center, Amsterdam, The Netherlands (PMB)

Correspondence to: Margaret S. Pepe, PhD, Program in Biostatistics and Biomathematics, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, M2-B500, Seattle, WA 98109-1024 (e-mail: mspepe{at}u.washington.edu).

Research methods for biomarker evaluation lag behind those for evaluating therapeutic treatments. Although a phased approach to development of biomarkers exists and guidelines are available for reporting study results, a coherent and comprehensive set of guidelines for study design has not been delineated. We describe a nested case–control study design that involves prospective collection of specimens before outcome ascertainment from a study cohort that is relevant to the clinical application. The biomarker is assayed in a blinded fashion on specimens from randomly selected case patients and control subjects in the study cohort. We separately describe aspects of the design that relate to the clinical context, biomarker performance criteria, the biomarker test, and study size. The design can be applied to studies of biomarkers intended for use in disease diagnosis, screening, or prognosis. Common biases that pervade the biomarker research literature would be eliminated if these rigorous standards were followed.


Manuscript received December 19, 2007; revised August 8, 2008; accepted August 11, 2008.


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Editorial about this Article

The Process to Discover and Develop Biomarkers for Cancer: A Work in Progress
David F. Ransohoff
J Natl Cancer Inst 2008 100: 1419-1420. [Extract] [Full Text] [PDF]

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J Natl Cancer Inst 2008 100: 1417. [Extract] [Full Text] [PDF]



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