Novel strategy to diagnose and grade hepatocellular carcinoma

Abstract

<span style="font-family:'Arial','sans-serif';font-size:10pt;"><span style="font-family:Verdana;">Hepatocellular carcinoma (HCC) is among the </span><span style="font-family:Verdana;">most common malignancies worldwide, par</span><span style="font-family:Verdana;">ticularly in South and South East Asia. Unfortunately due to lack of appropriate facilities and awareness only limited information is available about its early diagnosis. Aim of the present study was to determine the efficacy of p53 by </span><span style="font-family:Verdana;">immunohistochemistry and Argyrophilicnucle</span><span style="font-family:Verdana;">olar organizer regions (AgNORs) in diagnosis of HCC and cirrhosis of liver. A total of 100 liver biopsies were studied, it included 20 cases of HCC, 60 cases of cirrhosis of the liver and 20 cases of normal liver from autopsy specimens as a control. Out of 20 cases of HCC, 15 were positive for p53 stain and 5 were negative. None of the 60 cases of cirrhosis or 20 with normal histology revealed p53 expression. A statistically significant (p < 0.001) difference was observed between mean AgNOR counts of normal (1.57 +/? 0.13), cirrhotic (4.70 +/? 0.66) and HCC tissues (14.96 +/? 1.18). In contrast the mean AgNOR count of biopsies with alcoholic cirrhosis (1.57 +/? 1.62) was significantly less (p < 0.001) than post-hepatitic cirrhosis and was similar to that of normal liver tissue. AgNORs differentiates post-hepatitic and alcoholic cirrhosis. HCV and HBV were found to be the main causative agents in HCC and Cirrhosis of liver. Mean age of HCC patients was slightly higher than liver cirrhosis patients. It is concluded that p53 and AgNORs can act as a good adjuvant to histology in diagnosing liver diseases</span><span style="font-family:Verdana;">. It helps </span><span style="font-family:Verdana;">in differentiation from well differentiated to</span><span style="font-family:Verdana;"> moderately and to poorly differentiated HCC.</span></span

Role of neurotransmitter Substance P in progression of oral squamous cell carcinoma

“…Sensitivity, specificity, positive and negative predictive values for SP in OSCC were calculated as follows, as in our previous study [13] (Table 2). Sensitivity = total positive cases/total positive cases + false negative cases = 25/25 + 2 = 92.5% Specificity = total negative cases/false positive cases + total negative cases = 15/1 + 15 = 93.7% Positive predictive value (PPV) = total positive cases/total positive cases + false positive cases = 25/25 + 1 = 96.2% Negative predictive value (NPV) = total negative cases/total negative cases + false negative cases = 15/15 + 2 = 88.2%…”

Mouse Hepatocellular Carcinoma Sensitivity to Cisplatin and Docetaxel and Analysis of Related Proteins

“…The ICC study presented that most of the HCAM cells were positive for EGFR, HER2/neu, and P53 proteins. The p53, EGFR, and HER2/neu genes expression impact the management of cancer cells due these genes provide both prognosis and therapeutic information 16 . HCAM cells were positive for P53 and EGFR as nuclear and cytoplasmic expression while for HER2/neu was very weak nuclear expression only.…”