ArticleInternational journal of applied & basic medical research
Vascular Endothelial Growth Factor Expression by Immunohistochemistry as a Possible Indicator of Prognosis in Invasive Breast Carcinoma of No Special Type.
Article in International journal of applied & basic medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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2 authors.
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Abstract
Context: Angiogenesis, the formation of new blood vessels from preexisting vascular network, is essential for tumor growth and spread. Vascular endothelial growth factor (VEGF) is a potent angiogenic growth factor. Aims: To assess the expression of VEGF in invasive carcinoma of no special type and its correlation with all the known prognostic factors of breast carcinoma. Settings and Design: Descriptive. Materials and Methods: Mastectomy specimens were studied noting the clinical details. The formalin-fixed tissues were subjected to routine processing and hematoxylin and eosin sections and studied extensively for all the histological prognostic factors. Representative sections from each case with the tumor were subjected to immunohistochemistry (IHC) staining with VEGF, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2/neu) antibodies. Statistical Analysis Used: Descriptive statistics, Chi-square tests, contingency table analysis using SPSS for Windows. Results: One hundred and twelve cases of invasive carcinoma of special type were studied to evaluate various clinicopathological parameters. The association of VEGF with clinicopathological parameters and all the known prognostic factors was studied to note its significance. VEGF overexpression was observed in 69% of the cases. It was noted that larger tumor size, higher histological grade, lymphovascular invasion, nodal involvement, tumor necrosis, high microvessel density, ER negativity, PR negativity, and HER2/neu positivity had a significant statistical association with VEGF overexpression. Conclusions: We conclude that incorporating VEGF as a biomarker along with the known factors into a prognostic index will not only help predict clinical outcome more accurately, but also determines the patient who can be benefited with combinational therapy including anti-VEGF factors.
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