Why the study?
Does TFPI-2 expression level predict disease-free survival in patients with breast cancer?
Does TFPI-2 expression level predict disease-free survival in patients with breast cancer?
Low or negative expression of TFPI-2 is an independent predictor of poor disease-free survival and tumor recurrence in patients with breast cancer.
May support TFPI-2 testing for risk stratification in breast cancer; leaves open prospective validation before clinical adoption.
BACKGROUND: The purpose of this study is to evaluate the prognostic value of TFPI-2 expression in breast cancer patients through examining the correlation between TFPI-2 expression and breast cancer clinicopathologic features. METHODS: Immunohistochemical staining combined with digital image analysis was used to quantify the expression of TFPI-2 protein in breast tumor tissues. For evaluation of the prognostic value of TFPI-2 expression to each clinicopathologic factor, Kaplan-Meier method and COX's Proportional Hazard Model were employed. RESULTS: TFPI-2 expression was significantly correlated with tumor size, lymph node metastasis, histologic grade, clinical stage, and vessel invasion. More importantly, TFPI-2 expression was also associated with disease-free survival (DFS) of breast cancer patients. We found that patients with high TFPI-2 expression had longer DFS compared with those with low or negative expression of TFPI-2 (P <0.05, log-rank test). Cox's regression analysis indicated that TFPI-2 expression, histologic grade, and vessel invasion might be significant prognostic factors for DFS, while TFPI-2 expression and histologic grade were the most significant independent predictors for tumor recurrence. Compared with the group with low/high TFPI-2 expression, the TFPI-2 negative group was more likely to have tumor relapse. The hazard ratio of DFS is 0.316 (P <0.01). CONCLUSIONS: Low or negative expression of TFPI-2 is associated with breast cancer progression, recurrence and poor survival outcome after breast cancer surgery. TFPI-2 expression in breast tumors is a potential prognostic tool for breast cancer patients.
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Xu et al. (2013) studied this question.
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