The epithelial-mesenchymal transition (EMT) is critical for induction of invasiveness and metastasis of human cancers. In this study we investigated the expression profiles of the EMT markers, the relationship between EMT markers and patient/tumor/viral factors, and the interplay between major EMT regulators in human hepatocellular carcinoma (HCC). Reduced E-cadherin and nonmembranous β-catenin expression, the hallmarks of EMT, were shown in 60.2% and 51.5% of primary HCC samples, respectively. Overexpression of Snail, Twist, or Slug, the major regulators of EMT, was identified in 56.9%, 43.1%, and 51.4% of primary HCCs, respectively. Statistical analysis determined that Snail and Twist, but not Slug, are major EMT inducers in HCC: overexpression of Snail and/or Twist correlated with down-regulation of E-cadherin, nonmembranous expression of β-catenin, and a worse prognosis. In contrast, there were no such significant differences in samples that overexpressed Slug. Coexpression of Snail and Twist correlated with the worst prognosis of HCC. Hepatitis C-associated HCC was significantly correlated with Twist overexpression. HCC cell lines with increased Snail and Twist expression (e.g., Mahlavu) exhibited a greater capacity for invasiveness/metastasis than cells with low endogenous Twist/Snail expression (e.g., Huh-7). Overexpression of Snail or/and Twist in Huh-7 induced EMT and invasiveness/metastasis, whereas knockdown of Twist or Snail in Mahlavu reversed EMT and inhibited invasiveness/metastasis. Twist and Snail were independently regulated, but exerted an additive inhibitory effect to suppress E-cadherin transcription. Conclusion: Our study provides a comprehensive profile of EMT markers in HCC, and the independent and collaborative effects of Snail and Twist on HCC metastasis were confirmed through different assays. (Hepatology 2009.)

Performance status is included in the Barcelona Clinic Liver Cancer (BCLC) system for hepatocellular carcinoma (HCC). Few studies specifically evaluated the role of performance status in patients with HCC. This study investigated its distribution, determinants, and prognostic impact, aiming to improve the performance of the BCLC system. A total of 2,381 HCC patients were enrolled. Performance status was determined according to the Eastern Cooperative Oncology Group scale. The prognostic ability of the original and three modified BCLC systems in HCC patients was compared by the Akaike information criterion (AIC). There were 60, 17, 11, 8, and 4% of patients who were classified as performance status 0, 1, 2, 3, and 4, respectively. A worse performance status significantly correlated with age, alcoholism, hypoalbuminemia, hyperbilirubinemia, renal insufficiency, hyponatremia, and prothrombin time prolongation (all P < 0.001). Larger tumor burden, poorer residual liver function, more frequent vascular invasion, and diabetes mellitus were also observed in patients with worse performance status (all P < 0.001). Patients with poorer performance status more often received best supportive care (P < 0.001). In the Cox proportional hazards model, performance status was an independent prognostic predictor and the long-term survival tended to be worse in patients with progressively poor performance status (all P < 0.05). Reassigning patients with performance status 0 or 1 to stage B provided the lowest AIC among the four BCLC-based staging systems. Conclusion: Performance status is strongly associated with both tumoral and cirrhotic factors and accurately predicts long-term survival in HCC patients. Modification of the BCLC system based on performance status may further enhance its prognostic ability in patients with early to advanced cancer stage. (Hepatology 2013)

Background & Aims: Genotypes and viremia of hepatitis D virus (HDV) and hepatitis B virus (HBV) may be associated with outcomes. This study evaluated the impact of viral genotypes and viremia on outcomes of dual HBV and HDV infection. Methods: Viremia and viral genotypes were analyzed in 194 consecutive chronic hepatitis B patients with HDV superinfection and correlated with outcomes. Results: The numbers of HBV genotype A, B, C, and nonclassified were 4, 57, 23, and 110, respectively. There were 51 genotype I HDV, 74 genotype II HDV, 8 genotype IV HDV, and 61 nonclassified HDV genotype. In a median follow-up of 135 months, 24 progressed to cirrhosis and 41 developed hepatocellular carcinoma. Patients infected with genotype I HDV had a lower remission rate (15.2% vs 40.2%; P = .007) and more adverse outcomes (cirrhosis, hepatocellular carcinoma, or mortality) (52.2% vs 25.0%; P= .005) than those with genotype II HDV. Patients infected with genotype C HBV had a lower remission rate (0 vs 32.1%; P = .005) and more adverse outcomes (70.0% vs 33.9%; P = .005) than those with genotype B HBV. The presence of HBV or HDV viremia was associated with lower remission rates compared with those negative for both (26.4% and 24.3% vs 69.2%; P < .001). In multivariate analysis, age, genotype C HBV, and genotype I HDV were independent factors associated with adverse outcomes. Conclusions: In chronic HBV and HDV dual infections, older age, genotype I HDV, and genotype C HBV correlated with adverse outcomes.