Identification, using cDNA macroarray analysis, of distinct gene expression profiles associated with pathological and virological features of hepatocellular carcinoma.

Abstract

It is still unclear as to whether the gene expression profile in HCV- or HBV-related HCC exhibits a degree of specificity and whether the development of HCC in a context of cirrhosis influences this gene profile. To address these issues, the expression profiles of 15 cases of HCC were analysed using cDNA macroarray. A global analysis and hierarchical clustering, demonstrated the heterogeneity of HCC patterns, with a majority of down-regulated genes. Statistical analysis clearly showed a distinction between the gene expression profiles of HCV- and HBV-related HCC. HBV-associated HCC exhibited involvement of different cellular pathways, those controlling apoptosis, p53 signalling and G1/S transition. In HCV-related HCC we identified a more heterogenous pattern with an over-expression of the TGF-beta induced gene. In HCC developing on non-cirrhotic tissues, beta-catenin encoding gene and genes implicated in the PKC pathway were specifically up-regulated. In addition, our investigation highlighted a distinct profiles of TGF-beta superfamily encoding genes in well, moderately or poorly differentiated HCC. Overall, our study supports the hypothesis that despite the heterogeneity of the HCC pattern, the large-scale screening of gene expression may provide data significant to our understanding of the mechanism of liver carcinogenesis.