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Advances in Brief |
Departments of Pathology [R. L. C., D. L. R.], Genetics [M. D-F.], and Therapeutic Radiology [B. L. K.], Yale University, School of Medicine, New Haven, Connecticut 06520
Using a tissue microarray cohort of 300 breast cancers and 84 samples of normal breast epithelium, we analyzed HER2/neu expression and compared traditional clinical (manual) scoring with a recently developed system for the quantitative measurement of immunohistochemical stains (AQUA). As expected, both methods identified a population (1015%) of high-HER2-expressing tumors with poor 30-year disease-related survival. Using AQUA analysis, we found that normal epithelium expresses a low but detectable level of HER2 and that 17.5% of tumors exhibit similar low-level HER2 expression. This low group was not definable by manual scoring. Surprisingly, HER2-normal tumors were as aggressive as HER2-overexpressing tumors. Our studies suggest that in situ quantitative measurement of HER2 stratifies breast tumors into three expression levels: normal, intermediate, and high, where both normal and high levels are associated with a worse outcome.
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M. Dolled-Filhart, A. McCabe, J. Giltnane, M. Cregger, R. L. Camp, and D. L. Rimm Quantitative In situ Analysis of {beta}-Catenin Expression in Breast Cancer Shows Decreased Expression Is Associated with Poor Outcome. Cancer Res., May 15, 2006; 66(10): 5487 - 5494. [Abstract] [Full Text] [PDF] |
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D. E. Henson Back to the Drawing Board on Immunohistochemistry and Predictive Factors J Natl Cancer Inst, December 21, 2005; 97(24): 1796 - 1797. [Full Text] [PDF] |
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A. McCabe, M. Dolled-Filhart, R. L. Camp, and D. L. Rimm Automated Quantitative Analysis (AQUA) of In Situ Protein Expression, Antibody Concentration, and Prognosis J Natl Cancer Inst, December 21, 2005; 97(24): 1808 - 1815. [Abstract] [Full Text] [PDF] |
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M. Harigopal, A. J. Berger, R. L. Camp, D. L. Rimm, and H. M. Kluger Automated Quantitative Analysis of E-Cadherin Expression in Lymph Node Metastases Is Predictive of Survival in Invasive Ductal Breast Cancer Clin. Cancer Res., June 1, 2005; 11(11): 4083 - 4089. [Abstract] [Full Text] [PDF] |
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K. A. DiVito, A. J. Berger, R. L. Camp, M. Dolled-Filhart, D. L. Rimm, and H. M. Kluger Automated Quantitative Analysis of Tissue Microarrays Reveals an Association between High Bcl-2 Expression and Improved Outcome in Melanoma Cancer Res., December 1, 2004; 64(23): 8773 - 8777. [Abstract] [Full Text] [PDF] |
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J. S. Ross, J. A. Fletcher, K. J. Bloom, G. P. Linette, J. Stec, W. F. Symmans, L. Pusztai, and G. N. Hortobagyi Targeted Therapy in Breast Cancer: The HER-2/neu Gene and Protein Mol. Cell. Proteomics, April 1, 2004; 3(4): 379 - 398. [Abstract] [Full Text] [PDF] |
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M. A. Rubin, M. P. Zerkowski, R. L. Camp, R. Kuefer, M. D. Hofer, A. M. Chinnaiyan, and D. L. Rimm Quantitative Determination of Expression of the Prostate Cancer Protein {alpha}-Methylacyl-CoA Racemase Using Automated Quantitative Analysis (AQUA): A Novel Paradigm for Automated and Continuous Biomarker Measurements Am. J. Pathol., March 1, 2004; 164(3): 831 - 840. [Abstract] [Full Text] [PDF] |
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H. M. Kluger, M. Dolled-Filhart, S. Rodov, B. M. Kacinski, R. L. Camp, and D. L. Rimm Macrophage Colony-Stimulating Factor-1 Receptor Expression Is Associated with Poor Outcome in Breast Cancer by Large Cohort Tissue Microarray Analysis Clin. Cancer Res., January 1, 2004; 10(1): 173 - 177. [Abstract] [Full Text] [PDF] |
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