Abstract Purpose: Previous studies have suggested that the pre treatment clinical stage drives loco-regional recurrence (LRR), distant metastasis (DM) and survival in patients treated with neoadjuvant chemotherapy. This retrospective analysis was performed to look at the effect of biologic subtype on patient outcomes. Methods: Between 1999 and 2005, 115 patients treated with neoadjuvant chemotherapy, surgery, and +/−radiation therapy at UAB were identified. Patient, tumor, and treatment characteristics were recorded. Pathologic complete response was defined as resolution of both invasive disease and DCIS in both the primary and nodal disease. Survival was measured using the Kaplan Meier statistics. Univariate and multivariate analyses of covariates associated with LRR, DM, progression-free (PFS) and overall survival (OS) were performed. Results: The mean age was 49 years, with a mean follow-up of 5.8 years. Subtype distribution was as follows: 52 luminal A, 17 luminal B, 36 triple negative, 9 Her2+ and one patient with an unknown biologic subtype. Distribution of clinical stage was as follows: 40 IIA, 34 IIB, 26 IIIA, 10 IIIB, and 5 IIIC. Tumors were down-staged following neoadjuvant therapy as follows: 18: pCR, 6: residual DCIS, 17: I, 38: IIA, 11: IIB, 13: IIIA, 5: IIIB, and 7: IIIC. Pre-treatment clinical stage did not significantly influence LRR, DM or progression free and overall survival; however, final pathologic T, N and group stage were associated with both progression free, p=0.003, 0.011, 0.005 and overall survival, p=0.02, 0.037, and 0.009. Complete resolution of tumor by mammographic or MR imaging to neoadjuvant chemotherapy, was associated with an increased overall survival, p=0.0025. Univariate analysis did not show a significant effect of biologic subtype, age, grade, use of radiation therapy or anti-hormonal therapy. Discussion: In this retrospective series, response to chemotherapy and the final pathologic stage, representing the volume of residual disease, were important predictors of survival. Further study to determine factors predictive of chemotherapy response is needed. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P3-14-26.
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