An Approach to Evaluating and Comparing Biomarkers for Patient Treatment Selection

Janes Holly (), Brown Marshall D. (), Huang Ying () and Pepe Margaret S. ()
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Janes Holly: Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N M2 C200, Seattle, WA 98109, USA
Brown Marshall D.: Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N M2 C200, Seattle, WA 98109, USA
Huang Ying: Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N M2 C200, Seattle, WA 98109, USA
Pepe Margaret S.: Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N M2 B500, Seattle, WA 98109, USA University of Washington, Seattle, WA, USA

The International Journal of Biostatistics, 2014, vol. 10, issue 1, 99-121

Abstract: Despite the heightened interest in developing biomarkers predicting treatment response that are used to optimize patient treatment decisions, there has been relatively little development of statistical methodology to evaluate these markers. There is currently no unified statistical framework for marker evaluation. This paper proposes a suite of descriptive and inferential methods designed to evaluate individual markers and to compare candidate markers. An R software package has been developed which implements these methods. Their utility is illustrated in the breast cancer treatment context, where candidate markers are evaluated for their ability to identify a subset of women who do not benefit from adjuvant chemotherapy and can therefore avoid its toxicity.

Keywords: treatment selection marker; predictive marker; prescriptive marker; randomized trial; interaction (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1515/ijb-2012-0052

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