摘要 : <abstract_text><p>Background: Breast cancer is a heterogeneous group of disease, and recently, intrinsic sub-typing on the basis of gene expression profiling is found to be a predictor of breast cancer clinical course.... 展开 <abstract_text><p>Background: Breast cancer is a heterogeneous group of disease, and recently, intrinsic sub-typing on the basis of gene expression profiling is found to be a predictor of breast cancer clinical course. The St. Gallen has released surrogate classification for breast cancer sub-types depending on immunohistochemistry (IHC) markers.</p><p>Aim: The aim of our study was to analyze the distribution of sub-types using IHC surrogate markers in our patient population and to assess the clinico-pathological factors in different sub-types.</p><p>Materials and Methods: A total of 635 non-metastatic patients who underwent radical intend treatment from January 2011 to December 2013 were included for this retrospective analysis. A statistical analysis was done by Windows SPSS version 20. The Chi-square test was used to examine the correlations of these sub-types with clinico-pathological parameters. The Kaplan-Meier method estimates were used for survival analysis.</p><p>Results: The median follow-up was 42.77 months (5 months to 112 months). Luminal B was the predominant group. Disease free survival (DFS) at 5 years was 95% in luminal A, 78% in luminal B HER-2 negative, 80% in luminal B HER-2 positive, 72% in triple negative, and 79% in HER-2/neu non-luminal. Tumor size, Ki67, T stage, N stage, and grade were significantly associated with DFS in all biological type with a P value of less than 0.05.</p><p>Conclusion: Surrogate classification was successfully applied in our patient cohort. Luminal B and triple negative sub-groups were more prevalent in our patients, and this finding is at variance with published international data. Biological sub-type also emerged as an important predictor of survival.</p></abstract_text> 收起