Publication Type:

Journal Article

Source:

Indian J Cancer, Volume 57, Issue 1, p.49-54 (2020)

Abstract:

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.
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.
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.
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.
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.

Cite this Research Publication

Dr. Pavithran K., B, K., RV, R., and DK, V., “Impact of St. Gallen Surrogate Classification for Intrinsic Breast Cancer Sub-types on Disease Features, Recurrence, and Survival in South Indian Patients”, Indian J Cancer, vol. 57, no. 1, pp. 49-54, 2020.