Project description:The aim of this study is to compare post-Hepatitis C (HCV) and post-Alcoholism (ALC) Hepatocellular Carcinoma gene expression profiling. Owing to transcriptome analysis with a cDNA array virtually covering every transcript in liver, we compared tumors vs paired cirrhosis or tumors vs controls as a function of etiology, i.e. alcoholism (ALC) vs hepatitis C virus (HCV). The so-called Significance Analysis of Microarray was used to identify those genes with the most informative changes in transcript levels. Comparisons of tumor/cirrhosis ratios or tumor/controls ratios between 12 alcoholic vs 10 HCV patients identified a total of 31 transcripts whose altered ratios appropriately clustered the patients according to etiology. Keywords: etiology analysis
Project description:Hepatocellular carcinoma (HCC) is ranked second in cancer-associated deaths worldwide. Most cases of HCC are secondary to either a viral hepatitis infection (hepatitis B or C) or cirrhosis (alcoholism being the most common cause of hepatic cirrhosis). It is a complex and heterogeneous tumor due to activation of multiple cellular pathways and molecular alterations.
Project description:The aim of this study is to compare post-hepatitis C virus (HCV) and post-alcoholism cirrhosis gene expression profiling. By transcriptome analysis with a cDNA array virtually covering every transcript in liver, we compared transcript levels in alcoholic- , HCV-cirrhosis and control liver. A stringent selection identified a list of 70 transcripts which completely separated the 3 groups of patients (7 HCV-cirrhosis, 7 alcoholic cirrhosis and 8 control livers). In contrast, in an hepatocellular carcinoma (HCC) context, comparison of 10 HCV-cirrhosis, 10 alcoholic cirrhosis and the 8 control livers failed to identify such transcripts. We report that dysregulations at the transcriptional level do exist in HCC-free cirrhosis, are transiently observed prior to detectable HCC. Keywords: etiology-dependent and HCC-dependent analysis
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
