Proteome Analysis Of Human Hepatocellular Carcinoma Tissues And Tissue Interstitial Fluids

Hepatocellular carcinoma (HCC) is one of the most frequent malignant tumors with a very high morbidity and mortality. Chronic infections with hepatitis B virus (HBV) and hepatitis C virus (HCV) are the most important risk factors for the development of HCC in humans. Particularly in China, most patients of HCC are HBV-positive. Concerning the limitations of efficient diagnosis and therapy, it is still urgent to find key carcinogenesis-associated molecules for HBV-infected HCC.Nowadays, proteomic approach is considered to be a powerful technology in the global analysis of protein expression and has been widely used in disease proteomics, especially in cancer research fields. Clinical samples are very important for human disease proteome research. Standards concerning case choosing, sample collection, treatment protocols, storage and information record were set up for the establishment of sample banks for proteomics, metabolismics and transcription research. We collected plasma, blood cells, sera, urine and tissues from patients of HCC (and their healthy control), B type hepatitis and liver cirrhosis.Quantitative protein expression profiling is a crucial part of proteomics and requires methods that are able to efficiently provide accurate and reproducible differential expression values for proteins in two or more biological samples. Two-dimensional difference gel electrophoresis (2D-DIGE) could be considered as one of the major advances in quantitative proteomics. First, we validated the reproducibility of 2DE, did test labeling and analysis valuation between two gels containing the same sample labeled with 3 dyes separately. Then we employed DIGE to study the differentially expressed proteins in tumor and adjacent nontumor tissue samples from 12 HBV-infected HCC patients. Among the 2338 matched protein spots, 61 spots were significantly up-regulated (ration≥2,p≤0.01) in tumor samples while 158 spots down-regulated (ration≤-2, p≤0.0l), among which 23 up- and 50 down-regulated gene products were identified. Stress-induced proteins and proteins involved in cell proliferation were enhanced, and many enzymes involved in cellular metabolism were suppressed. Compared with the over expression of HSP 70 family...