Objectives: Neoadjuvant chemotherapy (NACT) has become a cornerstone in the management of locally advanced breast cancer, offering tumor downstaging, increased rates of breast-conserving surgery, and in vivo assessment of treatment response. Pathologic complete response (pCR) serves as a key prognostic indicator, with significant variability observed across molecular subtypes. However, limited data exist on survival outcomes and clinicopathological differences among these subtypes following NACT. Methods: This retrospective study analyzed 151 patients with stage II-III breast cancer treated with NACT at a tertiary referral center between 2016 and 2023. Patients were stratified by St. Gallen subtypes: luminal A (5%), luminal B HER2- negative (40%), luminal B HER2-positive (17%), HER2-positive (17%), and triple-negative (21%). The primary endpoint was pCR predictors, while secondary outcomes included overall survival (OS) analysis. Results: Results demonstrated significant subtype-dependent differences in pCR rates (p=0.001), with luminal B HER2- positive (42%) and HER2-positive (39%) achieving the highest responses, whereas luminal A (0%) and luminal B HER2- negative (12%) showed minimal response. Multivariate analysis identified younger age (<65 years), absence of lymphovascular invasion, and HER2-enriched subtypes as independent predictors of pCR (p<0.001). Survival analysis revealed subtype-dependent OS disparities (p<0.001), with triple-negative tumors exhibiting the worst prognosis (HR 18.2 vs. luminal B HER2-negative), while luminal B HER2-negative demonstrated the most favorable outcomes. Conclusion: These findings underscore the critical influence of molecular subtypes on treatment response and survival, reinforcing the need for subtype-specific NACT optimization. Despite limitations including retrospective design and sample size constraints, this study contributes valuable real-world data to guide therapeutic decision-making in breast cancer management Keywords: Breast cancer subtypes, pathologic complete response, overall survival
Corresponding Author: Altay Aliyev