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An Approach to Evaluating and Comparing Biomarkers for Patient Treatment Selection

Author

Listed:
  • 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)

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.

Suggested Citation

  • Janes Holly & Brown Marshall D. & Huang Ying & Pepe Margaret S., 2014. "An Approach to Evaluating and Comparing Biomarkers for Patient Treatment Selection," The International Journal of Biostatistics, De Gruyter, vol. 10(1), pages 99-121, May.
    • Handle: RePEc:bpj:ijbist:v:10:y:2014:i:1:p:23:n:4
    DOI: 10.1515/ijb-2012-0052
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    References listed on IDEAS

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    5. Xiao Song & Margaret Pepe, 2004. "Evaluating Markers for Selecting a Patient's Treatment," UW Biostatistics Working Paper Series 1029, Berkeley Electronic Press.
    6. Xiao Song & Margaret Sullivan Pepe, 2004. "Evaluating Markers for Selecting a Patient's Treatment," Biometrics, The International Biometric Society, vol. 60(4), pages 874-883, December.
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