5 ± 4.5% vs 1.8 ± 1.6%, NAFLD vs no NAFLD, P < 0.001). Total liver volume was 29% higher in subjects with NAFLD (1.91 ± 0.45 L) than in those with no NAFLD (1.49 ± 0.31 L, P < 0.001). In multiple linear regression analysis, the percentage of liver fat and bodyweight independently explained variation in total liver volume (r2 = 0.42, P < 0.001). The r-values for the relationship between metabolic selleck kinase inhibitor parameters and the total liver fat volume were not significantly better than those between metabolic parameters and

the percentage of liver fat. Both bodyweight and NAFLD increase liver volume independent of each other. Measurement of liver fat by 1H-MRS allows accurate quantification of NAFLD and calculation

of total liver volume. “
“A powerful way to identify driver genes with causal roles in carcinogenesis is to detect genomic regions that undergo frequent alterations in cancers. Here we identified 1,241 regions of somatic copy number alterations in Autophagy Compound Library 58 paired hepatocellular carcinoma (HCC) tumors and adjacent nontumor tissues using genome-wide single nucleotide polymorphism (SNP) 6.0 arrays. Subsequently, by integrating copy number profiles with gene expression signatures derived from the same HCC patients, we identified 362 differentially expressed genes within the aberrant regions. Among these, 20 candidate genes were chosen for further functional assessments. One novel tumor suppressor (tripartite motif-containing 35 [TRIM35]) and two putative oncogenes (hairy/enhancer-of-split related with YRPW motif 1 [HEY1] and small nuclear ribonucleoprotein polypeptide E [SNRPE]) were discovered by various in vitro and in vivo tumorigenicity experiments. Importantly, it was demonstrated that decreases of TRIM35 expression are a frequent event in HCC and the expression level of TRIM35 was negatively correlated with tumor size, histological grade, and serum alpha-fetoprotein concentration.

Conclusion: These results showed that integration of genomic and transcriptional data offers powerful potential for identifying novel cancer genes in HCC pathogenesis. (HEPATOLOGY 2011;) © 147. Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality worldwide. New insights into Dichloromethane dehalogenase the pathogenesis of this lethal disease are urgently needed. Chromosomal copy number alterations (CNAs) can lead to activation of oncogenes and inactivation of tumor suppressors in human cancers.1 Thus, identification of cancer-specific CNAs will not only provide new insight into understanding the molecular basis of tumorigenesis but also facilitate the discovery of new cancer genes.2, 3 Using traditional methodologies, frequent DNA copy number gains at 1q, 8q, 7q, 17q, and 20q and losses at 4q, 8p, 13q, 16q, and 17p have been identified in HCC.