CORRELATION OF VASCULAR ENDOTHELIAL GROWTH FACTOR (VEGF) AND Ki-67 EXPRESSION WITH HISTOLOGICAL GRADE AND STAGE OF RENAL CELL CARCINOMA
Journal Title: Journal of Evolution of Medical and Dental Sciences - Year 2019, Vol 8, Issue 10
Abstract
BACKGROUND Renal cell carcinoma (RCC) is the most common malignant kidney tumour in adults. The vascular endothelial growth factor (VEGF) is thought to play a major role in tumour angiogenesis. Ki-67 has been shown to be of prognostic significance in RCCs. With the availability of more effective molecular targeted therapy for specific renal neoplasms, immunohistochemical (IHC) techniques play an important role in diagnosis and prognostication of RCCs. This study aims to evaluate the expression pattern of VEGF and Ki-67 in histologically diagnosed cases of RCC and correlate and compare VEGF and Ki-67 expression with grade and stage of RCC and also compare VEGF expression and Ki-67 index if any. MATERIALS AND METHODS This was a cross-sectional observational study. A total of 50 patients of RCC undergoing total and partial nephrectomy were included in this study. The expressions of Ki-67 and VEGF were studied by IHC. Statistical Analysis was performed with the help of Epi Info (TM) 7.2.2.2. p value of ≤0.05 was considered statistically significant. RESULTS Out of 50 tumours, 21 tumours were VEGF Grade 1, 19 tumours were VEGF Grade 2. 27 tumours had Ki67 labelling index≥15%. There was significant association of VEGF grades and Ki-67 labelling index with stage and histological grade. Ki-67 labelling index showed significantly increasing trend with the increase in VEGF grades of the tumours. CONCLUSION This study suggests that there are significant differences in VEGF expression and Ki-67 labelling index with tumour stage and grade and other prognostic parameters of RCC. These biomarkers can be considered as a prognostic parameters and critical evaluator of targeted chemotherapy in RCC. A wider evaluation involving large number of cases with proper follow up facility is needed to validate these findings.
Authors and Affiliations
Bidisha Chakraborty, Piyabi Sarkar, Palas Bhattacharya, Triparna Ghosh, Krishnendu Maiti
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