Search

Background & Aims: Determining risk for recurrence or survival after curative resection or ablation in patients with hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC) is important for stratifying patients according to expected outcomes in future studies of adjuvant therapy in the era of direct-acting antivirals (DAAs). The aims of this meta-analysis were to estimate the recurrence and survival probabilities of HCV-related early HCC following complete response after potentially curative treatment and to identify predictors of recurrence and survival. Methods: Studies reporting time-dependent outcomes (HCC recurrence or death) after potentially curative treatment of HCV-related early HCC were identified in MEDLINE through May 2016. Data on patient populations and outcomes were extracted from each study by three independent observers and combined using a distribution-free summary survival curve. Primary outcomes were actuarial probabilities of recurrence and survival. Results: Eleven studies met the inclusion criteria. Pooled estimates of actuarial recurrence rates were 7.4% at 6months and 47.0% at 2years. Pooled estimates of actuarial survival rates were 79.8% at 3years and 58.6% at 5years. Heterogeneity among studies was highly significant for all outcomes. By univariate meta-regression analyses, lower serum albumin, randomized controlled trial study design and follow-up were independently associated with higher recurrence risk, whereas tumour size and alpha-foetoprotein levels were associated with higher mortality. Conclusions: This meta-analysis showed that recurrence risk and survival are extremely variable in patients with successfully treated HCV-related HCC, providing a useful benchmark for indirect comparisons of the benefits of DAAs and for a correct design of randomized controlled trials in the adjuvant setting.

Background Hepatocellular carcinoma (HCC) is a heterogeneous disease with both tumor and liver factors being involved. Aims To investigate HCC clinical phenotypes and factors related to HCC size. Methods Prospectively-collected HCC patients' data from a large Italian database were arranged according to the maximum tumor diameter (MTD) and divided into tumor size terciles, which were then compared in terms of several common clinical parameters and patients' survival. Results An higer MTD tercile was significantly associated with increased blood alpha-fetoprotein (AFP), gamma-glutamyl transpeptidase (GGTP), and platelet levels. Patients with higher platelet levels had larger tumors and higher GGTP levels, with lower bilirubin levels. However, patients with the highest AFP levels had larger tumors and higher bilirubin levels, reflecting an aggressive biology. AFP correlation analysis revealed the existence of 2 different groups of patients: those with higher and with lower AFP levels, each with different patient and tumor characteristics. The Cox proportional-hazard model showed that a higher risk of death was correlated with GGTP and bilirubin levels, tumor size and number, and portal vein thrombosis (PVT), but not with AFP or platelet levels. Conclusions An increased tumor size was associated with increased blood platelet counts, AFP and GGTP levels. Platelet and AFP levels were important indicators of tumor size, but not of survival.

OBJECTIVES:The Barcelona Clinic Liver Cancer (BCLC) intermediate stage (BCLC B) includes a heterogeneous population of patients with hepatocellular carcinoma (HCC). Recently, in order to facilitate treatment decisions, a panel of experts proposed to subclassify BCLC B patients. In this study, we aimed to assess the prognostic capability of the BCLC B stage reclassification in a large cohort of patients with untreated HCC managed by the Italian Liver Cancer Group.METHODS:We assessed the prognosis of 269 untreated HCC patients observed in the period 1987-2012 who were reclassified according to the proposed subclassification of the BCLC B stage from stage B1 to stage B4. We evaluated and compared the survival of the various substages.RESULTS:Median survival progressively decreased from stage B1 (n=65, 24.2%: 25 months) through stages B2 (n=105, 39.0%: 16 months) and B3 (n=22, 8.2%: 9 months), to stage B4 (n=77, 28.6%: 5 months; P

Pathogenetic mechanisms of hepatocellular carcinoma (HCC) are still unclear and new tools for diagnostic and therapeutic purposes are ongoing. We have assessed whether squamous cell carcinoma antigen (SCCA), a serpin overexpressed in neoplastic cells of epithelial origin, is also expressed in liver cancer. Squamous cell carcinoma antigen was evaluated by immunohistochemistry in 65 HCCs of different aetiology and in 20 normal livers. Proliferative activity was assessed using MIB-1 antibody. In 18 surgical samples, tumour and nontumour liver tissue was available for SCCA cDNA amplification and sequencing. Squamous cell carcinoma antigen was detected in 55 out of 65 (85%) tumour specimens, but in none of the 20 controls. In the majority of the cases, the positive signal was found in the cytoplasm of more than 50% of the hepatocytes. Low or undetectable SCCA (scoreor=1) was associated to lower MIB-1 labelling index, compared to cases with SCCA scoreor=2 (mean+/-s.d.: 2%+/-2.4 vs 7.5%+/-10.3, P0.05). Squamous cell carcinoma antigen mRNA could be directly sequenced in 14 out of 18 liver tumours but in none of the corresponding nontumour samples. From sequence alignment, a novel SCCA1 variant (G(351) to A) was identified in five cases, while SCCA1 was revealed in six cases and SCCA2 in three cases. In conclusion, SCCA variants are overexpressed in HCC, independently of tumour aetiology. A novel SCCA1 variant has been identified in one third of liver tumours.

INTRODUCTION: Hepatocellular carcinoma (HCC) is an established indication for liver transplantation (LT), but the selection criteria and priority are still debated. AIMS: To ascertain the number and features of patients with HCC who undergo transplantation in a Western country, the number of patients eligible for LT according to the American Association for the Study of Liver Diseases (AASLD) guidelines, the number of patients who actually undergo transplantation and whether adherence affects survival. METHODS: This is a retrospective analysis from a multicentre Italian database of 2042 cases of HCC, recruited prospectively and consecutively. Kaplan-Meier (log rank) and Cox multivariate analysis estimated survival. RESULTS: Patients who had undergone transplantation (50, 2.5%, with no change over time) had a median survival of 133 months, significantly influenced by the number of lesions and alpha-fetoprotein levels, which were found to be independent predictors of survival on multivariate analysis. Milan criteria were fulfilled in 68%, impacting on survival, whereas 48% fulfilled AASLD guidelines, without such an impact. Two hundred and twenty-eight (11%) patients were eligible for LT according to AASLD; in this group, alpha-fetoprotein levels and Child-Pugh class were independent predictors of survival. CONCLUSION: Among patients with HCC, those undergoing LT represent a small minority; even fewer (1%) are those who undergo transplantation according to AASLD guidelines, adherence to which only marginally affects survival. Overall, LT impact on HCC patients' treatment is very limited

Previous work has shown that two general processes contribute to hepatocellular cancer (HCC) prognosis: liver damage, monitored by indices such as blood bilirubin, prothrombin time (PT), and aspartate aminostransferase (AST); and tumor biology, monitored by indices such as tumor size, tumor number, presence of portal vein thrombosis (PVT) and blood alpha-fetoprotein (AFP) levels. These processes may affect one another, with prognostically significant interactions between multiple tumor and host parameters. These interactions form a context that provide personalization of the prognostic meaning of these factors for every patient. Thus, a given level of bilirubin or tumor diameter might have a different significance in different personal contexts. We previously applied network phenotyping strategy (NPS) to characterize interactions between liver function indices of Asian HCC patients and recognized two clinical phenotypes, S and L, differing in tumor size and tumor nodule numbers. Our aim was to validate the applicability of the NPS-based HCC S/L classification on an independent European HCC cohort, for which survival information was additionally available. Four sets of peripheral blood parameters, including AFP-platelets, derived from routine blood parameter levels and tumor indices from the ITA.LI.CA database, were analyzed using NPS, a graph-theory-based approach that compares personal patterns of complete relationships between clinical data values to reference patterns with significant association to disease outcomes. Without reference to the actual tumor sizes, patients were classified by NPS into two subgroups with S and L phenotypes. These two phenotypes were recognized using solely the HCC screening test results, consisting of eight common blood parameters, paired by their significant correlations, including an AFP-platelets relationship. These trends were combined with patient age, gender, and self-reported alcoholism into NPS personal patient profiles. We subsequently validated (using actual scan data) that patients in L phenotype group had 1.5× larger mean tumor masses relative to S, P = 6 × 10(-16). Importantly, with the new data, liver test pattern-identified S-phenotype patients had typically 1.7× longer survival compared to L-phenotype patients. NPS integrated the liver, tumor, and basic demographic factors. Cirrhosis-associated thrombocytopenia was typical for smaller S tumors. In L tumor phenotype, typical platelet levels increased with the tumor mass. Hepatic inflammation and tumor factors contributed to more aggressive L tumors, with parenchymal destruction and shorter survival. NPS provides integrative interpretation for HCC behavior, identifying two tumor and survival phenotypes by clinical parameter patterns. The NPS classifier is provided as an Excel tool. The NPS system shows the importance of considering each tumor marker and parameter in the total context of all the other parameters of an individual patient.