© 2005 Oxford University Press
EDITORIAL |
Back to the Drawing Board on Immunohistochemistry and Predictive Factors
Correspondence to: Donald Earl Henson, MD, Office of Cancer Prevention and Control, The George Washington University Cancer Institute, Ross Hall, Rm. 502, 2300 I St., NW, Washington, DC 20037 (e-mail: patdeh@gwumc.edu).
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The search for predictive biomarkers has been a recipient of funding largess. Potentially, biomarkers have the power to provide diagnostic, therapeutic, and prognostic information for personalized medicine. However, immunohistochemistry, a popular technique for evaluating biomarker expression, may contain procedural flaws that jeopardize its promise. In this issue of the Journal, McCabe et al. (1) used immunohistochemistry to show that the association between biomarker expression and outcome changes depending on the concentration of the biomarker antibody. They found that variations in antibody concentration could even reverse the relationship between biomarker expression and outcome. These observations have profound implications for the interpretation of immunohistochemical studies on biomarkers as predictors of outcome or response to therapy.
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