Hepatitis C Antiviral Long-term Treatment Against Cirrhosis Research Articles

A multivariate parametric empirical Bayes screening approach for early detection of hepatocellular carcinoma using multiple longitudinal biomarkers.

The early detection of hepatocellular carcinoma (HCC) is critical to improving outcomes since advanced HCC has limited treatment options. Current guidelines recommend HCC ultrasound surveillance every 6 months in high-risk patients however the sensitivity for detecting early stage HCC in clinical practice is poor. Blood-based biomarkers are a promising direction since they are more easily standardized and less resource intensive. Combining of multiple biomarkers is more likely to achieve the sensitivity required for a clinically useful screening algorithm and the longitudinal trajectory of biomarkers contains valuable information that should be utilized. We propose a multivariate parametric empirical Bayes (mPEB) screening approach that defines personalized thresholds for each patient at each screening visit to identify significant deviations that trigger additional testing with more sensitive imaging. The Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) trial provides a valuable source of data to study HCC screening algorithms. We study the performance of the mPEB algorithm applied to serum -fetoprotein, a widely used HCC surveillance biomarker, and des- carboxy prothrombin, an HCC risk biomarker that is FDA approved but not used in practice in the United States. Using cross-validation, we found that the mPEB algorithm demonstrated moderate but improved sensitivity compared to alternative screening approaches. Future research will validate the clinical utility of the approach in larger cohort studies with additional biomarkers.

A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkers.

Advanced hepatocellular carcinoma (HCC) has limited treatment options and poor survival, therefore early detection is critical to improving the survival of patients with HCC. Current guidelines for high-risk patients include ultrasound screenings every six months, but ultrasounds are operator dependent and not sensitive for early HCC. Serum α-Fetoprotein (AFP) is a widely used diagnostic biomarker, but it has limited sensitivity and is not elevated in all HCC cases so, we incorporate a second blood-based biomarker, des'γ carboxy-prothrombin (DCP), that has shown potential as a screening marker for HCC. The data from the Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) Trial is a valuable source of data to study biomarker screening for HCC. We assume the trajectories of AFP and DCP follow a joint hierarchical mixture model with random changepoints that allows for distinct changepoint times and subsequent trajectories of each biomarker. The changepoint indicators are jointly modeled with a Markov Random Field distribution to help detect borderline changepoints. Markov chain Monte Carlo methods are used to calculate posterior distributions, which are used in risk calculations among future patients and determine whether a patient has a positive screen. The screening algorithm was compared to alternatives in simulations studies under a range of possible scenarios and in the HALT-C Trial using cross-validation.

Use of noninvasive markers to predict advanced fibrosis/cirrhosis in severe obesity

BackgroundNonalcoholic steatohepatitis is observed in 25%–55% of patients with severe obesity and in 2%–12% with bridging fibrosis or cirrhosis. There is currently no noninvasive test for the diagnosis of severe liver fibrosis before bariatric surgery. ObjectivesTo determine the best noninvasive test for predicting advanced liver disease in patients with severe obesity. SettingUniversity tertiary care hospital, Brazil. MethodsA cross-sectional retrospective study was conducted with 699 patients with severe obesity undergoing bariatric surgery: 568 without a biopsy (nonbiopsy cohort) and 131 patients who had undergone an intraoperative liver biopsy. The tissues were subjected to histologic diagnosis (Brunt criteria) and classified as advanced fibrosis (stages 3 and 4) or no significant fibrosis (absence of nonalcoholic steatohepatitis and stages 1 or 2). The following predictive indices of cirrhosis were calculated in all patients: aspartate aminotransferase/alanine aminotransferase ratio (AAR), age-platelet (AP) index, aminotransferase-to-platelet ratio index (APRI), cirrhosis discriminant score (CDS), and hepatitis C antiviral long-term treatment against cirrhosis (HALT-C). The cutoff values, sensitivity, specificity, and areas under the receiver operating characteristic curves (AUROCs) were calculated for patients with biopsies. ResultsThe AUROC of the AAR, AP, APRI, CDS, and HALT-C model for predicting advanced fibrosis or cirrhosis were, respectively, .522, .88, .99, .905, and .921. The calculated cutoff values, sensitivity, and specificity, respectively, were as follows: AAR: .94, .7, .45; AP 5, .7, .93; APRI .44, 1.0, .97; CDS 6, .7, .97; and HALT-C: .76, 1.0, .77. ConclusionAPRI index was the best predictor of advanced liver disease in patients with severe obesity.

A Variant in PNPLA3 Associated With Fibrosis Progression but not Hepatocellular Carcinoma in Patients With Hepatitis C Virus Infection

A single nucleotide polymorphism (SNP) in the patatin-like phospholipase domain containing 3 gene (PNPLA3, rs738409) has been associated with fibrosis and development of hepatocellular carcinoma (HCC) in patients with nonalcoholic steatohepatitis, although its association with outcomes in patients with hepatitis C virus (HCV) infection is less clear. We evaluated the association between this SNP in PNPLA3 and fibrosis progression and development of HCC among HCV-infected patients. We performed a secondary analysis of data from participants in the Hepatitis C Antiviral Long-Term Treatment against Cirrhosis (HALT-C) trial. Patients were randomly assigned to groups given weekly pegylated interferon or no further therapy for 3.5 y and then followed without further treatment until October 2009. Multivariate logistic regression was used to identify factors associated with fibrosis at baseline, fibrosis progression (defined as 2-point increase in Ishak score), and HCC development. Among 937 HCV patients with known PNPLA3 genotype, 384 (41.0%) had cirrhosis at baseline. The PNPLA3 CG/GG SNP at rs738409 was significantly associated with the presence of cirrhosis (odds ratio [OR], 1.76; 95% confidence interval [CI], 1.34-2.30), after adjusting for age, sex, diabetes, and race. Among 493 patients without cirrhosis at baseline who had at least 1 follow-up biopsy, 142 had fibrosis progression. In multivariate analyses, fibrosis progression was associated with obesity (OR, 1.67; 95% CI, 1.11-2.51) and the PNPLA3 CG/GG genotype (OR, 1.70; 95% CI, 1.13-2.56). PNPLA3 genotype was not associated with HCC development (P = .85). Using these data to update prior meta-analysis results, the rs738409 SNP in PNPLA3 was not significantly associated with development of HCC in HCV-infected patients (OR 1.29; 95% CI, 0.97-1.99). Based on data from the HALT-C trial, the PNPLA3 CG/GG SNP at rs738409 is associated with fibrosis progression but not development of HCC in patients with HCV infection.

Risk prediction of hepatocellular carcinoma in patients with cirrhosis: the ADRESS-HCC risk model.

All patients with cirrhosis are at risk of developing hepatocellular carcinoma (HCC). This risk is not uniform because other patient-related factors influence the risk of HCC. The objective of the current study was to develop an HCC risk prediction model to estimate the 1-year probability of HCC to assist with patient counseling. Between 2002 and 2011, a cohort of 34,932 patients with cirrhosis was identified from a national liver transplantation waitlist database from the United States. Cox proportional hazards regression methods were used to develop and validate a risk prediction model for incident HCC. In the validation cohort, discrimination and calibration of the model was examined. External validation was conducted using patients with cirrhosis who were enrolled in the Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) study. HCC developed in 1960 patients (5.6%) during a median follow-up of 1.3 years (interquartile range, 0.47 years-2.83 years). Six baseline clinical variables, including age, diabetes, race, etiology of cirrhosis, sex, and severity (ADRESS) of liver dysfunction were independently associated with HCC and were used to develop the ADRESS-HCC risk model. C-indices in the derivation and internal validation cohorts were 0.704 and 0.691, respectively. In the validation cohort, the predicted cumulative incidence of HCC by the ADRESS-HCC model closely matched the observed data. In patients with cirrhosis in the HALT-C cohort, the model stratified patients correctly according to the risk of developing HCC within 5 years. The ADRESS-HCC risk model is a useful tool for predicting the 1-year risk of HCC among patients with cirrhosis.

Machine learning algorithms outperform conventional regression models in predicting development of hepatocellular carcinoma.

Predictive models for hepatocellular carcinoma (HCC) have been limited by modest accuracy and lack of validation. Machine-learning algorithms offer a novel methodology, which may improve HCC risk prognostication among patients with cirrhosis. Our study's aim was to develop and compare predictive models for HCC development among cirrhotic patients, using conventional regression analysis and machine-learning algorithms. We enrolled 442 patients with Child A or B cirrhosis at the University of Michigan between January 2004 and September 2006 (UM cohort) and prospectively followed them until HCC development, liver transplantation, death, or study termination. Regression analysis and machine-learning algorithms were used to construct predictive models for HCC development, which were tested on an independent validation cohort from the Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) Trial. Both models were also compared with the previously published HALT-C model. Discrimination was assessed using receiver operating characteristic curve analysis, and diagnostic accuracy was assessed with net reclassification improvement and integrated discrimination improvement statistics. After a median follow-up of 3.5 years, 41 patients developed HCC. The UM regression model had a c-statistic of 0.61 (95% confidence interval (CI) 0.56-0.67), whereas the machine-learning algorithm had a c-statistic of 0.64 (95% CI 0.60-0.69) in the validation cohort. The HALT-C model had a c-statistic of 0.60 (95% CI 0.50-0.70) in the validation cohort and was outperformed by the machine-learning algorithm. The machine-learning algorithm had significantly better diagnostic accuracy as assessed by net reclassification improvement (P<0.001) and integrated discrimination improvement (P=0.04). Machine-learning algorithms improve the accuracy of risk stratifying patients with cirrhosis and can be used to accurately identify patients at high-risk for developing HCC.

Current issues and future trends in surveillance for hepatocellular carcinoma.

alone (P < 0.001), with minimal loss in specificity. The variable effectiveness of ultrasound may be related to differences in operator experience and technique, with many patients in the United States receiving their ultrasound examinations in local community centers instead of tertiary care centers. Furthermore, the ability of ultrasound to accurately visualize the liver in patients with morbid obesity or a very nodular liver may be impaired. In contrast to current guidelines, these studies suggest that AFP may play an important role in HCC surveillance among patients with cirrhosis. It is clear that better surveillance tools, including more accurate biomarkers or more cost-effective advanced imaging with low or no risk of radiation, are necessary to help improve the sensitivity of finding tumors at an early stage. Des-c carboxyprothrombin (DCP) and lectin-bound AFP (AFP-L3%) are two potential biomarkers that have been proposed. In a nested case-control study among patients in the Hepatitis C Antiviral Long-Term Treatment Against Cirrhosis (HALT-C) Trial, DCP and AFP had sensitivities of 74% and 61%, respectively, for HCC at any stage, which was increased to 91% by using the two markers in combination. 8 However, AFP was demonstrated to be more sensitive than DCP and AFP-L3% for the diagnosis of early HCC in a large, multicenter case-control study. 9 Further studies are necessary to better evaluate the role of new biomarkers, including AFP-L3% and DCP, prior to their routine use in clinical practice. Some studies have proposed that computed tomography (CT) or magnetic resonance imaging (MRI) may be more sensitive as alternative imaging studies for the detection of HCC. A systematic review found that the sensitivity of CT for HCC at any stage was 68% (95% confidence interval [CI], 55%-80%) and that of MRI was 81% (95% CI 70%

Quantitative liver function tests improve the prediction of clinical outcomes in chronic hepatitis C: Results from the hepatitis C antiviral long-term treatment against cirrhosis trial

Risk for future clinical outcomes is proportional to the severity of liver disease in patients with chronic hepatitis C virus (HCV). We measured disease severity by quantitative liver function tests (QLFTs) to determine cutoffs for QLFTs that identified patients who were at low and high risk for a clinical outcome. Two hundred and twenty-seven participants in the Hepatitis C Antiviral Long-term Treatment Against Cirrhosis (HALT-C) Trial underwent baseline QLFTs and were followed for a median of 5.5 years for clinical outcomes. QLFTs were repeated in 196 patients at month 24 and in 165 patients at month 48. Caffeine elimination rate (k(elim)), antipyrine (AP) clearance (Cl), MEGX concentration, methionine breath test (MBT), galactose elimination capacity (GEC), dual cholate (CA) clearances and shunt, perfused hepatic mass (PHM), and liver and spleen volumes (by single-photon emission computed tomography) were measured. Baseline QLFTs were significantly worse (P = 0.0017 to P < 0.0001) and spleen volumes were larger (P < 0.0001) in the 54 patients who subsequently experienced clinical outcomes. QLFT cutoffs that characterized patients as "low" and "high risk" for clinical outcome yielded hazard ratios ranging from 2.21 (95% confidence interval [CI]: 1.29-3.78) for GEC to 6.52 (95% CI: 3.63-11.71) for CA clearance after oral administration (Cl(oral)). QLFTs independently predicted outcome in models with Ishak fibrosis score, platelet count, and standard laboratory tests. In serial studies, patients with high-risk results for CA Cl(oral) or PHM had a nearly 15-fold increase in risk for clinical outcome. Less than 5% of patients with "low risk" QLFTs experienced a clinical outcome. QLFTs independently predict risk for future clinical outcomes. By improving risk assessment, QLFTs could enhance the noninvasive monitoring, counseling, and management of patients with chronic HCV.

Genetic testing for hepatocellular carcinoma: An ambitious goal still to achieve

Background & Aims: A single nucleotide polymorphism 61⁄G (rs4444903) in the epidermal growth factor (EGF) gene has been associated, in two case–control studies, with hepatocellular carcinoma (HCC). We tested associations between demographic, clinical, and genetic data and development of HCC, and developed a simple predictive model in a cohort of patients with chronic hepatitis C and advanced fibrosis. Methods: Black and white subjects from the Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) trial (n = 816) were followed up prospectively for development of a definite or presumed case of HCC for a median time period of 6.1 years. We used the Cox proportional hazards regression model to determine the hazard ratio for risk of HCC and to develop prediction models. Results: Subjects with EGF genotype G/G had a higher adjusted risk for HCC than those with genotype A/A (hazard ratio, 2.10; 95% confidence interval, 1.05–4.23; P = .03). After adjusting for EGF genotype, blacks had no increased risk of HCC risk compared with whites. Higher serum levels of EGF were observed among subjects with at least one G allele (P = .08); the subset of subjects with EGF G/G genotype and above-median serum levels of EGF had the highest risk of HCC. We developed a simple prediction model that included the EGF genotype to identify patients at low, intermediate, and high risk for HCC; 6-year cumulative HCC incidences were 2.3%, 10.4%, and 26%, respectively. Conclusions: We associated the EGF genotype G/G with increased risk for HCC; differences in its frequency among black and white subjects might account for differences in HCC incidence between these Journal of Hepatology 20

YKL‐40 genetic polymorphisms and the risk of liver disease progression in patients with advanced fibrosis due to chronic hepatitis C

The aim of this study was to explore the association of a functional YKL-40 promoter polymorphism (rs4950928) with baseline disease stage, response to antiviral therapy and risk of liver disease progression in a group of patients with chronic hepatitis C (CHC). YKL-40 promoter polymorphisms were determined in 456 Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) Trial patients with bridging fibrosis or cirrhosis entering a prerandomization lead-in peginterferon/ribavirin 24-week treatment phase and in 462 patients followed for a mean of 3.8 years after randomization to maintenance peginterferon or observation. Mean patient age was 49.5 years, 70.4% were men and 71.2% were Caucasian. The 17% frequency of the YKL-40 minor allele (T) was similar to that reported in the general population. YKL-40 genotype was associated significantly with baseline serum YKL-40 levels but was not associated with the likelihood of a virological response following 24-48 weeks of peginterferon/ribavirin therapy. Serum YKL-40 levels remained significantly lower during follow-up in the randomized TT homozygotes compared with CT heterozygotes and CC homozygotes (P < 0.001). Despite this association, YKL-40 genotype was not associated with the risk of clinical or histological liver disease progression. A reduced frequency of the protective YKL-40 promoter polymorphism was not observed in the HALT-C Trial patient population. The absence of an association between YKL-40 promoter polymorphisms and baseline liver disease severity as well as with the risk of liver disease progression over time suggests that this polymorphism is not associated with disease progression in CHC patients with established fibrosis.

Extended Interferon-Alpha Therapy Accelerates Telomere Length Loss in Human Peripheral Blood T Lymphocytes

BackgroundType I interferons have pleiotropic effects on host cells, including inhibiting telomerase in lymphocytes and antiviral activity. We tested the hypothesis that long-term interferon treatment would result in significant reduction in average telomere length in peripheral blood T lymphocytes.Methods/Principal FindingsUsing a flow cytometry-based telomere length assay on peripheral blood mononuclear cell samples from the Hepatitis-C Antiviral Long-term Treatment against Cirrhosis (HALT-C) study, we measured T cell telomere lengths at screening and at months 21 and 45 in 29 Hepatitis-C virus infected subjects. These subjects had failed to achieve a sustained virologic response following 24 weeks of pegylated-interferon-alpha plus ribavirin treatment and were subsequently randomized to either a no additional therapy group or a maintenance dose pegylated-IFNα group for an additional 3.5 years. Significant telomere loss in naïve T cells occurred in the first 21 months in the interferon-alpha group. Telomere losses were similar in both groups during the final two years. Expansion of CD8+CD45RA+CD57+ memory T cells and an inverse correlation of alanine aminotransferase levels with naïve CD8+ T cell telomere loss were observed in the control group but not in the interferon-alpha group. Telomere length at screening inversely correlated with Hepatitis-C viral load and body mass index.Conclusions/SignificanceSustained interferon-alpha treatment increased telomere loss in naïve T cells, and inhibited the accumulation of T cell memory expansions. The durability of this effect and consequences for immune senescence need to be defined.

Occult and previous hepatitis B virus infection are not associated with hepatocellular carcinoma in United States patients with chronic hepatitis C

Previous studies have suggested that prior exposure to hepatitis B virus (HBV) infection may increase the risk of development of hepatocellular carcinoma (HCC) in patients with chronic hepatitis C. The aim of this study was to compare the prevalence of previous or occult HBV infection in a cohort of hepatitis B surface antigen-negative patients with histologically advanced chronic hepatitis C in the United States who did or did not develop HCC. Stored sera from 91 patients with HCC and 182 matched controls who participated in the Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) Trial were tested for hepatitis B core antibody (anti-HBc), hepatitis B surface antibody, and HBV DNA. Frozen liver samples from 28 HCC cases and 55 controls were tested for HBV DNA by way of real-time polymerase chain reaction. Anti-HBc (as a marker of previous HBV infection) was present in the serum of 41.8% HCC cases and 45.6% controls (P=0.54); anti-HBc alone was present in 16.5% of HCC cases and 24.7% of controls. HBV DNA was detected in the serum of only one control subject and no patients with HCC. HBV DNA (as a marker of occult HBV infection) was detected in the livers of 10.7% of HCC cases and 23.6% of controls (P=0.18). Although almost half the patients in the HALT-C Trial had serological evidence of previous HBV infection, there was no difference in prevalence of anti-HBc in serum or HBV DNA in liver between patients who did or did not develop HCC. In the United States, neither previous nor occult HBV infection is an important factor in HCC development among patients with advanced chronic hepatitis C.

Mallory–Denk Bodies Are Associated With Outcomes and Histologic Features in Patients With Chronic Hepatitis C

Mallory-Denk bodies (MDBs) are inclusions found in hepatocytes of patients with chronic liver diseases. Their clinical significance and prognostic value are not understood. We performed cross-sectional and longitudinal analyses of patients with chronic hepatitis C (CHC) enrolled in the Hepatitis C Antiviral Long-Term Treatment against Cirrhosis (HALT-C) trial to identify clinical features associated with MDBs and changes in MDBs over time. Biopsy specimens were obtained at baseline and 1.5 and 3.5 years after patients were assigned to groups for the HALT-C trial; and patients were followed up to assess clinical and histologic outcomes. Of biopsy samples collected from 1050 patients, MDBs were present in 15%. They were associated with insulin resistance and laboratory and histologic markers of advanced liver disease (higher levels of periportal fibrosis, pericellular fibrosis, steatosis, and inflammation). After adjusting for disease severity (the ratio of aspartate aminotransferase to alanine aminotransferase, albumin, platelets, fibrosis, steatosis), the presence of MDBs was associated with histologic progression (odds ratio, 1.97; P = .04). Of the 844 patients from whom serial biopsy samples were collected, 61 (7.2%) developed MDBs (MDB gain) and 101 (12.0%) lost MDBs (MDB loss). The presence or absence of diabetes mellitus was associated with MDB gain (P = .006) or loss (P = .024), respectively. Development of MDBs was associated with decompensation (adjusted hazard ratio, 2.81; P < .001) and histologic signs of progression (adjusted odds ratio, 4.02; P = .004). The presence of MDBs in liver biopsy samples from patients with CHC is associated independently with fibrosis progression. Gain of MDBs over time is associated with decompensation and progression to cirrhosis; and occurs most frequently among diabetic patients. MDBs might be used as prognostic factors for patients with CHC.

Rate of Progression of Hepatic Fibrosis in Patients With Chronic Hepatitis C: Results From the HALT-C Trial

The gradual accumulation of hepatic fibrosis in chronic liver disease results in clinical complications. The rate of hepatic fibrosis score progression (RFSP) in predicting clinical outcomes was assessed by extending the 4-year Hepatitis C Antiviral Long-term Treatment Against Cirrhosis (HALT-C) Trial to include preenrollment liver biopsies. The RFSP was calculated from the linear regression slope of Ishak fibrosis score vs time in 457 patients with liver biopsies (≥10-mm length) prior to the HALT-C Trial (575 biopsies) plus 1101 on-study biopsies (total 1676 biopsies). Individual slopes were calculated if duration from first to last biopsy was > 4 years. The RFSP as average fibrosis score vs average time in intervals (0-3 and >3 years prestudy, screening, month 24 and 48 on-study) in 455 patients in cohorts of baseline Ishak score ranged from 0.005 with Ishak score 2 to 0.124 with Ishak 6. The RFSP in individual patients (-0.35 to +0.97 Ishak units/year) had a mean of 0.12 ± 0.23 in 344 patients with prestudy and on-study biopsies (group A) and only 0.17 ± 0.22 in 169 with prestudy and screening biopsies (group B). Group A patients with RFSP slope ≥ 0.2 (95 patients, 27.6%) had higher 7-year cumulative rates of non-hepatocellular carcinoma outcomes (46% vs 8%, respectively) and with a hepatocellular carcinoma (10% vs 3%, respectively) than RFSP slope < 02 (249 patients, 72.4%) (P < .0001). RFSP and screening Ishak score correlated independently (P <.0001) with clinical outcomes in multivariate analysis. Rapid RFSP (>0.2), which occurred in 26.7% of HALT-C Trial patients, correlated strongly with clinical outcomes.

Excess mortality in patients with advanced chronic hepatitis C treated with long-term peginterferon

Chronic hepatitis C virus infection can cause chronic liver disease, cirrhosis and liver cancer. The Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) Trial was a prospective, randomized controlled study of long-term, low-dose peginterferon therapy in patients with advanced chronic hepatitis C who failed to respond to a previous course of optimal antiviral therapy. The aim of this follow-up analysis is to describe the frequency and causes of death among this cohort of patients. Deaths occurring during and after the HALT-C Trial were reviewed by a committee of investigators to determine the cause of death and to categorize each death as liver- or nonliver-related and as related or not to complications of peginterferon. Rates of liver transplantation were also assessed. Over a median of 5.7 years, 122 deaths occurred among 1,050 randomized patients (12%), of which 76 were considered liver-related (62%) and 46 nonliver-related (38%); 74 patients (7%) underwent liver transplantation. At 7 years the cumulative mortality rate was higher in the treatment compared to the control group (20% versus 15%, P = 0.049); the primary difference in mortality was in patients in the fibrosis compared to the cirrhosis stratum (14% versus 7%, P = 0.01); comparable differences were observed when liver transplantation was included. Excess mortality, emerging after 3 years of treatment, was related largely to nonliver-related death; liver-related mortality was similar in the treatment and control groups. No specific cause of death accounted for the excess mortality and only one death was suspected to be a direct complication of peginterferon. Long-term maintenance peginterferon in patients with advanced chronic hepatitis C is associated with an excess overall mortality, which was primarily due to nonliver-related causes among patients with bridging fibrosis.

A Functional Polymorphism in the Epidermal Growth Factor Gene Is Associated With Risk for Hepatocellular Carcinoma

A single nucleotide polymorphism 61*G (rs4444903) in the epidermal growth factor (EGF) gene has been associated, in 2 case-control studies, with hepatocellular carcinoma (HCC). We tested associations between demographic, clinical, and genetic data and development of HCC, and developed a simple predictive model in a cohort of patients with chronic hepatitis C and advanced fibrosis. Black and white subjects from the Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) trial (n=816) were followed up prospectively for development of a definite or presumed case of HCC for a median time period of 6.1 years. We used the Cox proportional hazards regression model to determine the hazard ratio for risk of HCC and to develop prediction models. Subjects with EGF genotype G/G had a higher adjusted risk for HCC than those with genotype A/A (hazard ratio, 2.10; 95% confidence interval, 1.05-4.23; P=.03). After adjusting for EGF genotype, blacks had no increased risk of HCC risk compared with whites. Higher serum levels of EGF were observed among subjects with at least one G allele (P=.08); the subset of subjects with EGF G/G genotype and above-median serum levels of EGF had the highest risk of HCC. We developed a simple prediction model that included the EGF genotype to identify patients at low, intermediate, and high risk for HCC; 6-year cumulative HCC incidences were 2.3%, 10.4%, and 26%, respectively. We associated the EGF genotype G/G with increased risk for HCC; differences in its frequency among black and white subjects might account for differences in HCC incidence between these groups. We developed a model that incorporates EGF genotype and demographic and clinical variables to identify patients at low, intermediate, and high risk for HCC.

Development and Progression of Portal Hypertensive Gastropathy in Patients With Chronic Hepatitis C

The objective of this study was to determine the incidence and risk factors associated with new-onset and worsening portal hypertensive gastropathy (PHG) in patients with chronic hepatitis C (CHC). A total of 831 CHC patients with bridging fibrosis or cirrhosis at the time of entry were prospectively monitored for clinical and histological liver disease progression while receiving either low-dose peginterferon α2a or no antiviral therapy in the HALT-C (Hepatitis C Antiviral Long-term Treatment against Cirrhosis) trial. Upper endoscopy with grading of PHG was performed at baseline and at year 4 of the study. The presence and severity of PHG were determined using the NIEC (New Italian Endoscopy Conference) criteria, and worsening PHG was defined as a score increase of ≥1 point. During a median follow-up of 3.85 years, 50% of 514 subjects without PHG developed new-onset PHG, whereas 26% of 317 patients with baseline PHG had worsening PHG. Independent predictors of new-onset PHG included higher alkaline phosphatase and being diabetic, whereas predictors of worsening PHG were Caucasian race, lower albumin, as well as higher serum aspartate transaminase/alanine transaminase ratio and homeostatic model assessment levels. New-onset and worsening PHG were significantly associated with clinical and histological progression. They were also associated with new-onset and worsening gastroesophageal varices. New-onset and worsening PHG develop at a rate of 12.9% per year and 6.7% per year, respectively, in non-responder CHC patients with advanced fibrosis. If confirmed in other studies, endoscopic surveillance for PHG may need to be tailored to individual patient risk factors.

Maintenance Peginterferon Therapy and Other Factors Associated With Hepatocellular Carcinoma in Patients With Advanced Hepatitis C

Interferon reportedly decreases the incidence of hepatocellular carcinoma (HCC) in patients with chronic hepatitis C. The Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) Trial showed that 4 years of maintenance therapy with pegylated interferon (peginterferon) does not reduce liver disease progression. We investigated whether peginterferon decreases the incidence of HCC in the HALT-C cohort over a longer posttreatment follow-up period. The study included 1048 patients with chronic hepatitis C (Ishak fibrosis scores ≥ 3) who did not have a sustained virologic response (SVR) to therapy. They were randomly assigned to groups given a half-dose of peginterferon or no treatment (controls) for 3.5 years and followed up for a median of 6.1 (maximum, 8.7) years. Eighty-eight patients developed HCC (68 definite, 20 presumed): 37 of 515 who were given peginterferon (7.2%) and 51 of 533 controls (9.6%; P = .24). There was a significantly lower incidence of HCC among patients given peginterferon therapy who had cirrhosis, but not fibrosis, based on analysis of baseline biopsy samples. After 7 years, the cumulative incidences of HCC in treated and control patients with cirrhosis were 7.8% and 24.2%, respectively (hazard ratio [HR], 0.45; 95% confidence interval [CI], 0.24-0.83); in treated and control patients with fibrosis, incidences were 8.3% and 6.8%, respectively (HR, 1.44; 95% CI, 0.77-2.69). Treated patients with a ≥ 2-point decrease in the histologic activity index, based on a follow-up biopsy, had a lower incidence of HCC than those with unchanged or increased scores (2.9% vs 9.4%; P = .03). Extended analysis of the HALT-C cohort showed that long-term peginterferon therapy does not reduce the incidence of HCC among patients with advanced hepatitis C who did not achieve SVRs. Patients with cirrhosis who received peginterferon treatment had a lower risk of HCC than controls.

Silymarin use and liver disease progression in the Hepatitis C Antiviral Long‐Term Treatment against Cirrhosis trial

Silymarin is the most commonly used herbal product for chronic liver disease; yet, whether silymarin protects against liver disease progression remains unclear. To assess the effects of silymarin use on subsequent liver disease progression in 1049 patients of the Hepatitis C Antiviral Long-Term Treatment against Cirrhosis (HALT-C) trial who had advanced fibrosis or cirrhosis and had failed prior peginterferon plus ribavirin treatment. Patients recorded their use of silymarin at baseline and were followed up for liver disease progression (two point increase in Ishak fibrosis score across baseline, year 1.5, and year 3.5 biopsies) and over 8.65 years for clinical outcomes. At baseline, 34% of patients had used silymarin, half of whom were current users. Use of silymarin was associated (P < 0.05) with male gender; oesophageal varices; higher ALT and albumin; and lower AST/ALT ratio, among other features. Baseline users had less hepatic collagen content on study biopsies and had less histological progression (HR: 0.57, 95% CI: 0.33-1.00; P-trend for longer duration of use=0.026). No effect was seen for clinical outcomes. Silymarin use among patients with advanced hepatitis C-related liver disease is associated with reduced progression from fibrosis to cirrhosis, but has no impact on clinical outcomes (Clinicaltrials.gov #NCT00006164).

Development and progression of gastroesophageal varices in patients with chronic hepatitis C

Evaluation of: Fontana RJ, Sanyal AJ, Ghany MG et al. Factors that determine the development and progression of gastroesophageal varices in patients with chronic hepatitis C. Gastroenterology 138(7), 2321–2331 (2010).Hepatitis C virus infection is the leading cause of chronic liver disease in the western world. Chronic liver diseases may cause, through portal hypertension, the development of gastroesophageal varices, which can then bleed. We assess the findings of a study aimed at identifying the incidence of de novo varix development and their progression in patients with chronic hepatitis C and advanced fibrosis. This study was a substudy of the Hepatitis C Antiviral Long-Term Treatment against Cirrhosis (HALT-C) trial. The HALT-C trial was designed to determine whether pegylated interferon (PEG-IFN) at low dose can reduce the rate of disease progression in these patients. Approximately 26% of patients developed de novo varices and 35.2% of patients with varices at baseline had variceal progression or bleeding during the 4-year follow-up. The authors examine demographic, clinical, laboratory, virological, endoscopic and histological factors associated with the development and progression of gastroesophageal varices. PEG-IFN-α2a therapy did not reduce the risk of development or progression of gastroesophageal varices.