Prognostic significance of Bcl-2 in invasive mammary carcinomas: a comparative clinicopathologic study between ¡°triple-negative?and non¨C¡°triple-negative?tumors
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Bcl-2 is a tumorigenic protein that is expressed in 25 % to 50 % of breast cancers. Although its expression has been widely accepted as a favorable prognostic marker, its protective mechanism of action remains unclear. ¡°Triple-negative?tumors are an aggressive subgroup known to carry a poor prognosis. Studies documenting prognostic significance of Bcl-2 expression in triple-negative in comparison to non¨Ctriple-negative breast cancers are limited. Bcl-2 expression was correlated with tumor size, grade, histologic type, lymphovascular invasion, lymph node status, patients' overall survival, estrogen receptor, progesterone receptor, Her-2, p53, and epidermal growth factor receptor in 124 triple-negative and 458 non¨Ctriple-negative tumors. There were significant differences between triple-negative and non¨Ctriple-negative tumors in their relationship to Bcl-2 expression (81 % versus 29 % , respectively) and tumor aggression. As previously reported, in non¨Ctriple-negative tumors, Bcl-2 positivity correlated with less aggressive tumors (94 % of grade I tumors were Bcl-2+ versus 62 % of grade III tumors, P < .011) and overall survival (P = .008). However, the opposite was true in patients with triple-negative tumors, where Bcl-2 positivity was associated with poorer survival (P = .64). In triple-negative tumors, Bcl-2 positivity was not associated with any of the aforementioned parameters except for a lower incidence of lymph node metastasis. Moreover, by Cox regression analysis of all variables, in patients with triple-negative tumors, lymphovascular invasion (P = .009) and Bcl-2 expression (P = .028) were predictors of poor survival. In conclusion, there are major clinicopathologic differences between breast cancer phenotypes. Our results establish the value of using Bcl-2 in prognostic stratification of patients and its potential therapeutic implications in selecting patients for treatment.

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