RESUMEN
The tyrosine kinase c-met alters signaling cascades such as the BRAF-MAPK and PI3K-PKB pathways. These alterations are involved in the carcinogenesis of type I but not type II ovarian cancer (OC). Therefore, the present study investigated the patterns of c-met expression in a cohort of consecutive patients with OC. c-met expression was determined by immunohistochemical analysis. Differences in c-met overexpression among subgroups of established clinicopathological features, including age, histological subtype, tumor stage, histological grading, post-operative tumor burden and completeness of chemotherapy, were determined by χ2 test. Cox regression analyses were performed to determine the prognostic effect of c-met. Survival rates were estimated using the Kaplan-Meier method. A total of 106 patients were enrolled into the study. c-met was overexpressed in 20.8% of the entire cohort; 35.7% of patients with type I OC and 8.6% of patients with type II OC showed overexpression (P=0.001). However, c-met overexpression was not associated with any other established clinicopathological features (all P-values >0.05). Univariate Cox regression analysis showed that overexpression of c-met was associated neither with progression-free survival (PFS) nor with disease-specific survival (DSS) (P=0.835 and P=0.414, respectively). Kaplan-Meier plots also failed to demonstrate an effect of c-met on the 5-year PFS and DSS rates (P=0.938 and P=0.412, respectively). These findings support the hypotheses that the overexpression of c-met is associated with type I but not type II OC, and that overexpression of c-met does not affect the prognosis of OC.
RESUMEN
PURPOSE: The aim of this study was to evaluate the prognostic influence of epithelial cell adhesion molecule (EpCAM) in an unselected cohort of ovarian cancer (OC) patients. METHODS: Expression of EpCAM was determined by immunohistochemistry in an unselected cohort of 117 patients with OC. Univariable and multivariable Cox regression analyses adjusted for age, tumor stage, histological grading, histological subtype, postoperative tumor burden and completeness of chemotherapy were performed in order to determine the prognostic influence of EpCAM. The Kaplan-Meier method is used to estimate survival rates. RESULTS: Univariable Cox regression analysis showed that overexpression of EpCAM is associated with favorable prognosis in terms of progression-free survival (PFS) (p = 0.011) and disease-specific survival (DSS) (p = 0.003). In multivariable Cox regression analysis, overexpression of EpCAM retains its significance independent of established prognostic factors for longer PFS [hazard ratios (HR) 0.408, 95 % confidence interval (CI) 0.197-0.846, p = 0.003] but not for PFS (HR 0.666, 95 % CI 0.366-1.212, p = 0.183). Kaplan-Meier plots demonstrate an influence on 5-year PFS rates (0 vs. 27.6 %, p = 0.048) and DSS rates (11.8 vs. 54.0 %, p = 0.018). CONCLUSIONS: These findings support the hypothesis that the expression of EpCAM is associated with favorable prognosis in OC.