We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Quantitative analysis of breast cancer tissue microarrays shows high cox-2 expression is associated with poor outcome.
- Authors
Zerkowski, Maciej P; Camp, Robert L; Burtness, Barbara A; Rimm, David L; Chung, Gina G
- Abstract
Epidemiologic and preclinical studies suggest that cyclooxygenase-2 (Cox-2) may promote tumor growth and spread by affecting angiogenesis and apoptosis in breast cancer. Using a tissue microarray (TMA), we analyzed the expression and subcellular localization of Cox-2 by AQUA and X-tile, our algorithms for quantitative analysis of protein expression and determination of optimal cutpoints. Our TMA consisted of 669 Stage I-III primary breast cancers. The total tumor and subcellular expression of Cox-2 were then correlated with clinicopathologic factors and with survival. Cox-2 expression appeared higher in malignant than in benign tissue and was predominantly membrane/cytoplasmic (i.e. non-nuclear). X-tile determines an optimum cutpoint on a training set then uses this cutpoint on a validation set. This cutpoint was 19.3 (top 44 percent defined as positive) with high nonnuclear Cox-2 expressers having significantly worse survival. Cox-2 expression also was inversely associated with estrogen receptor (ER) and progesterone receptor (PR), and directly associated with nuclear grade. Multivariate analysis showed that Cox-2 remained a significant prognostic factor for survival independent of tumor size, nodal status, ER, Her2/neu, and grade. In summary, Cox-2 is overexpressed in breast neoplasms, is associated with other markers of poor prognosis, and is significantly associated with worse survival independent of known prognostic factors. Furthermore, AQUA and X-tile analysis suggest an optimal cutpoint that may be helpful in future investigations of Cox-2 and specifically, in studies looking at its expression as a predictive biomarker in clinical trials of Cox-2 inhibitors in breast cancer.
- Publication
Cancer investigation, 2007, Vol 25, Issue 1, p19
- ISSN
0735-7907
- Publication type
Journal Article
- DOI
10.1080/07357900601128825