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Prof. Nashwa Mohamed Emara :: Publications:

Title:
Evaluation of SIRT1 and P53 expression in hepatocellular carcinoma
Authors: Magda Hamed Bakr1MD, Nihal Saad Zafer1MD, Nashwa Mohamed Emara1MD, Rasha Mohammed Elsawi1MD, Huda Mohammed Abdel aziz1M.Sc, Ahmed Mohammed Elrefai2MD, Hosameldeen Mostafa Ali3MD.
Year: 2016
Keywords: P53 – SIRT1– hepatocellular carcinoma (HCC) –Immunohistochemistry (IHC).
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Nashwa Mohamed Emara _sirt%2cp53 (1).docx
Supplementary materials Not Available
Abstract:

OBJECTIVE: To evaluate and analyse the expression of P53 and SIRT1 in hepatocellular carcinoma and determine their relationships with clinico-pathological features. METHODS: Immunohistochemistry was used to detect the expression of P53 and SIRT1 on 33 cases of hepatocellular carcinoma,15 cases of cirrhosis and 12 cases of chronic viral C hepatitis. RESULTS:P53 and SIRT1 expression were increased gradually in progression throughout chronic viral hepatitis C and cirrhosis to be the highest in HCC. Detected statistically significant positive correlation between P53 expression and tumor grade, TNM stage, 2 years survival and presence of both vascular invasion and underlying cirrhosis while no correlation with tumor size or histopathological type. There were statistically significant correlations between SIRT1 expression and tumor grade, TNM stage, presence of underlying cirrhosis and 2 years survival while no correlation with tumor size, histopathological type or presence of vascular invasion. There was statistically significant correlation between P53 expression and SIRT1expression. CONCLUSION: Our study confirmed that both P53 and SIRT1 are independent prognostic markers , their expression was associated with tumor genesis, tumor progression , invasion , metastasis, and the clinically aggressive behavior , poor survival. They may serve as valuable tools for prediction of tumor recur¬rence and response to therapy and identifica¬tion of therapeutic targets.

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