PURPOSE: To determine the predictive value of vascular endothelial growth factor (VEGF) for relapse-free survival (RFS) and overall survival (OS) in primary node-positive breast cancer (NPBC) after adjuvant endocrine treatment or adjuvant chemotherapy. MATERIALS AND METHODS: VEGF was quantitatively measured in tumor cytosols from 362 consecutive patients with primary NPBC using an enzyme immunoassay for human VEGF(165). Adjuvant treatment was given to all patients, either as endocrine therapy (n = 250) or chemotherapy (n = 112). The median follow-up time was 56 months. RESULTS: Univariate analysis showed VEGF to be a significant predictor of RFS (P =.0289) and OS (P =.0004) in the total patient population and in patients who received adjuvant endocrine treatment (RFS, P =.0238; OS, P =.0121). In the group of patients who received adjuvant chemotherapy, no significant difference was seen in RFS, but a difference was seen in OS (P =.0235). Patients with bone recurrences tended to have lower VEGF expression (median, 2.17 pg/microg DNA) than patients with visceral metastasis (4.41 pg/microg), brain metastasis (8.29 pg/microg), or soft tissue recurrences (3.16 pg/microg). Multivariate analysis showed nodal status (P =.0004), estrogen receptor (ER) status (P <.0001), and tumor size (P =.0085) to be independent predictors of RFS. VEGF was found to be an independent predictor of OS (P =.0170; relative risk [RR] = 1.82), as were ER (P <.0001; RR = 5.19) and nodal status (P =.0002; RR = 2.58). For patients receiving adjuvant endocrine treatment, multivariate analysis showed VEGF content to be an independent predictor of OS (P =.0420; RR = 1.90) but not of RFS. CONCLUSION: The results suggest that VEGF(165) content in tumor cytosols is a predictor of RFS and OS in primary NPBC. VEGF content might also predict outcome after adjuvant endocrine treatment, but further studies in a prospective setting with homologous treatments are required.
PURPOSE: To determine the predictive value of vascular endothelial growth factor (VEGF) for relapse-free survival (RFS) and overall survival (OS) in primary node-positive breast cancer (NPBC) after adjuvant endocrine treatment or adjuvant chemotherapy. MATERIALS AND METHODS:VEGF was quantitatively measured in tumor cytosols from 362 consecutive patients with primary NPBC using an enzyme immunoassay for humanVEGF(165). Adjuvant treatment was given to all patients, either as endocrine therapy (n = 250) or chemotherapy (n = 112). The median follow-up time was 56 months. RESULTS: Univariate analysis showed VEGF to be a significant predictor of RFS (P =.0289) and OS (P =.0004) in the total patient population and in patients who received adjuvant endocrine treatment (RFS, P =.0238; OS, P =.0121). In the group of patients who received adjuvant chemotherapy, no significant difference was seen in RFS, but a difference was seen in OS (P =.0235). Patients with bone recurrences tended to have lower VEGF expression (median, 2.17 pg/microg DNA) than patients with visceral metastasis (4.41 pg/microg), brain metastasis (8.29 pg/microg), or soft tissue recurrences (3.16 pg/microg). Multivariate analysis showed nodal status (P =.0004), estrogen receptor (ER) status (P <.0001), and tumor size (P =.0085) to be independent predictors of RFS. VEGF was found to be an independent predictor of OS (P =.0170; relative risk [RR] = 1.82), as were ER (P <.0001; RR = 5.19) and nodal status (P =.0002; RR = 2.58). For patients receiving adjuvant endocrine treatment, multivariate analysis showed VEGF content to be an independent predictor of OS (P =.0420; RR = 1.90) but not of RFS. CONCLUSION: The results suggest that VEGF(165) content in tumor cytosols is a predictor of RFS and OS in primary NPBC. VEGF content might also predict outcome after adjuvant endocrine treatment, but further studies in a prospective setting with homologous treatments are required.
Authors: David M Hyams; Arlene Chan; Celia de Oliveira; Raymond Snyder; Jeferson Vinholes; M William Audeh; Victor M Alencar; Janine Lombard; Bijoyesh Mookerjee; John Xu; Kathryn Brown; Paula Klein Journal: Invest New Drugs Date: 2013-06-26 Impact factor: 3.850
Authors: Zhican Qu; Sabrina Van Ginkel; Anshu M Roy; Louise Westbrook; Mubina Nasrin; Yulia Maxuitenko; Andra R Frost; Delicia Carey; Wenquan Wang; Rongbao Li; William E Grizzle; Jaideep V Thottassery; Francis G Kern Journal: Cancer Res Date: 2008-08-01 Impact factor: 12.701