[312] Biomarker Expression Can Identify Biologically Distinct Categories of Invasive Breast Cancer
JY Shim, R Zhou, PA Thompson, AM Brewster, JL Murray, ME Edgerton, N Karadag, ML Bondy, A Sahin. MD Anderson Cancer Center, Houston; Arizona Cancer Center, Tucson
Background: Tumor size, stage, lymph node status and histologic grade are significant prognostic factors in breast cancer. We sought to investigate the usefulness of a panel of biomarkers by correlating them with clinicopathologic parameters and outcome.
Design: Tissue microarrays from 1158 patients with stage I and II invasive breast cancer were constructed and immunohistochemical staining for ER, PR, HER2, P53, Ki-67, CK5/6, CK14, CK17, EGFR, Bcl-2, COX-2 and P27 were performed.
Results: The positive rates for ER, PR, HER2, P53, CK5/6, CK14, CK17, EGFR and COX-2 were 66%, 53%, 10%, 57%, 10%, 5%, 9%, 8% and 84%, respectively. The mean percentage of Bcl-2 was 70% and that of P27 was 62%. Ki-67 positivity was low in 61%, intermediate in 26% and high in 14%. Table1 summarizes the correlation between the biomarkers and clinicopathologic parameters. Many biomarkers were associated with each other. In univariate analysis, tumor size and stage were predictive of disease-free survival, while ER, CK14, EGFR, tumor size and stage were predictive of overall survival.
| Size | Stage | Nuclear grade | Metastasis | |
| ER | <0.0001 | 0.0001 | <0.0001 | 0.043 |
| PR | 0.002 | 0.004 | <0.0001 | 0.464 |
| HER2 | 0.170 | 0.160 | <0.0001 | 0.218 |
| CK 5/6 | <0.0001 | 0.0001 | <0.0001 | 0.022 |
| CK 14 | <0.0001 | 0.004 | <0.0001 | 0.039 |
| CK 17 | 0.0003 | 0.003 | 0.014 | 0.060 |
| EGFR | 0.0008 | 0.002 | <0.0001 | 0.217 |
| P53 | 0.056 | 0.176 | 0.0002 | 0.415 |
| COX-2 | 0.0003 | 0.588 | <0.0001 | 0.819 |
| Bcl-2 | <0.0001 | 0.0001 | <0.0001 | 0.081 |
| P27 | 0.0003 | 0.020 | <0.0001 | 0.047 |