Background: Patients with high-risk primary breast cancer remain at high risk for relapse. More precise prognostic and predictive tools are needed to improve treatment of such patients. Patients and methods: Formalin-fixed, paraffin-embedded tumors from 239 high-risk breast cancer patients were examined for expression of human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), estrogen receptor, progesterone receptor, Ki-67, p16, p21, p27, and p53 by immunohistochemistry. Gene expression of EGFR, HER2, glutathione S-transferase-Pi (GSTP1), excision repair cross complementation1 (ERCC1), p21, β-tubulin-3, multidurg resistance (MDR1), cyclooxygenase2 (COX2), and cyclin-E was measured by RT-PCR. Results: Eighty percent of patients presented with locally advanced, or ≥10 axillary nodal metastasis, and 20% with inflammatory breast cancer. The median age was 46 years (26–62 years) and the median number of involved axillary lymph nodes was 12 (0–42). At a median follow-up of 86 months, relapse-free survival (RFS) and overall survival for the entire group were 50% (95% CI 43% to 57%) and 62% (95% CI 56% to 69%). Multivariate Cox stepwise analysis resulted in a simple model for RFS consisting only of p21 expression, EGFR expression assessed by RT-PCR, and number of axillary nodal metastases. Conclusion: A prognostic model on the basis of the expression of a limited number of proteins and genes may help to guide target-specific therapies in patients with high-risk breast cancer.
