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Abstract P3-10-35: Using Automated Image Analysis To Validate Ki67 as a Clinical Prognostic Biomarker for Estrogen-Receptor Positive Breast Cancers
- Source :
- Cancer Research. 70:P3-10
- Publication Year :
- 2010
- Publisher :
- American Association for Cancer Research (AACR), 2010.
-
Abstract
- Background: Ki67, an indicator of proliferation, has been shown to be a useful prognostic and predictive marker for breast cancer. Ki67 can be used to identify two distinct estrogen-receptor positive subtypes: luminal A and luminal B. Luminal A breast cancers have been identified as having a lower proliferation and better outcome compared to luminal B. Furthermore, early clinical trials suggest that Ki67 may be useful in identifying a subset of patients that are sensitive to adjuvant docetaxel treatment. Currently, only estrogen-receptor (ER), progesterone-receptor (PR), and human epidermal growth-factor (HER2) are routinely performed. We have optimized and validated an immunohistochemical (IHC) Ki67 assay and automated computerized image analysis platform for routine clinical testing. Materials and Methods: Immunohistochemical staining was quantitatively assessed using the ACIS® III platform on a cohort (N=761) of tamoxifen treated patients who were diagnosed with breast cancer in Calgary between 1990 and 2001. Tissue microarrays were constructed using three 0.6 mm cores. Ki67 results were available for 510 patients, 461 of which are ER/PR positive and HER2 negative. Staining was performed using the DAKO FLEX ready-to-use system. The percent nuclear area positive was calculated using ACIS III and the maximum value was used in statistical analysis Results: X-tile statistical software was used to identify an optimal Ki67 cut point to distinguish differential overall survival in node negative ER positive cancers of 18.75%. This cut point was then used to categorize the 461 ER/PR positive and HER2 negative breast cancers into luminal A (407; 88.3%) or luminal B (54; 11.7%) subtypes. The 8-year breast cancer specific survival was 85.2% (95% CI = 81.3% - 89.1%) for luminal A and 53.6% (95% CI = 39.3% - 67.9%) for luminal B (P Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P3-10-35.
Details
- ISSN :
- 15387445 and 00085472
- Volume :
- 70
- Database :
- OpenAIRE
- Journal :
- Cancer Research
- Accession number :
- edsair.doi...........a528249813d794a7c16cf60ab2210b28
- Full Text :
- https://doi.org/10.1158/0008-5472.sabcs10-p3-10-35