Development of a simple dynamic algorithm for individualized hepatocellular carcinoma risk-based surveillance using pre- and post-treatment general evaluation score

Long-term outcome and risk stratification in compensated advanced chronic liver disease after HCV-cure

BACKGROUND AND AIMS

Around 750,000 patients per year will be cured of HCV infection until 2030. Those with compensated advanced chronic liver disease remain at risk for hepatic decompensation and de novo HCC. Algorithms have been developed to stratify risk early after cure; however, data on long-term outcomes and the prognostic utility of these risk stratification algorithms at later time points are lacking.

APPROACH AND RESULTS

We retrospectively analyzed a cohort of 2335 patients with compensated advanced chronic liver disease (liver stiffness measurement≥10 kPa) who achieved HCV-cure by interferon-free therapies from 15 European centers (median age 60.2±11.9 y, 21.1% obesity, 21.2% diabetes).During a median follow-up of 6 years, first hepatic decompensation occurred in 84 patients (3.6%, incidence rate: 0.74%/y, cumulative incidence at 6 y: 3.2%); 183 (7.8%) patients developed de novo HCC (incidence rate: 1.60%/y, cumulative incidence at 6 y: 8.3%), with both risks being strictly linear over time.Baveno VII criteria to exclude (FU-liver stiffness measurement <12 kPa and follow-up platelet count >150 g/L) or rule-in (FU-liver stiffness measurement ≥25 kPa) clinically significant portal hypertension (CSPH) stratified the risk of hepatic decompensation with proportional hazards. Estimated probability of CSPH discriminated patients developing versus not developing hepatic decompensation in the gray zone (ie, patients meeting none of the above criteria).Published HCC risk stratification algorithms identified high-incidence and low-incidence groups; however, the size of the latter group varied substantially (9.9%-69.1%). A granular "HCC-sustained virologic response" model was developed to inform an individual patient's HCC risk after HCV-cure.

CONCLUSIONS

In patients with compensated advanced chronic liver disease, the risks of hepatic decompensation and HCC remain constant after HCV-cure, even in the long term (>3 y). One-time post-treatment risk stratification based on noninvasive criteria provides important prognostic information that is maintained during long-term follow-up, as the hazards remain proportional over time.

Individualized HCC surveillance using risk stratification scores in advanced fibrosis and cirrhotic HCV patients who achieved SVR: Prospective study

BACKGROUND

Several HCC risk stratification scores were developed; however, none has been prospectively validated. The primary aim is to validate the clinical utility of six HCC risk scores in large prospective study of F3-4 patients achieving SVR following DAAs according to EASL guidelines. The secondary aim is to explore whether individualized risk stratification improves detection of HCC at early stages amenable to curative treatment.

METHODS

This prospective study included two cohorts: Egyptian Liver Research Institute and Hospital (ELRIAH) cohort of 463 chronic HCV patients with advanced liver disease (F3 and F4) achieved SVR with a follow-up every 6 months according to EASL guidelines using 6 simple HCC risk scores and Tanta cohort of 492 comparable patients where individualized surveillance intervals were tailored based on HCC risk assessments using GES score as follows: low-risk patients were followed yearly, intermediate-risk every 6 months and high-risk every 2-3 months.

RESULTS

All scores, except Watanabe post, successfully stratified patients into low-, intermediate- and high-risk groups, with log-rank p-value of 0.001 and Harrell's C ranging from 0.669 to 0.728. Clinical utility of these scores revealed that the highest percentage of patients classified as low risk was 42.5% using the GES, while the lowest was 8.9% using the aMAP. ELRIAH cohort, 25 patients developed HCC with 52% diagnosed at BCLC 0 and A. Tanta cohort, 35 patients developed HCC, with 80% diagnosed at BCLC 0 and A.

CONCLUSION

Individualized risk stratification using HCC risk scores was associated with improved early-stage detection and receipt of curative treatment.

Chronic Hepatitis C Infection Treated with Direct-Acting Antiviral Agents and Occurrence/Recurrence of Hepatocellular Carcinoma: Does It Still Matter?

Hepatitis C virus (HCV) infection is a significant risk factor for liver cirrhosis and hepatocellular carcinoma (HCC). Traditionally, the primary prevention strategy for HCV-associated HCC has focused on removing infection through antiviral regimes. Currently, highly effective direct-acting antivirals (DAAs) offer extraordinary success across all patient categories, including cirrhotics. Despite these advancements, recent studies have reported that even after sustained virologic response (SVR), individuals with advanced liver disease/cirrhosis at the time of DAA treatment may still face risks of HCC occurrence or recurrence. Based on this premise, this review tries to shed light on the multiple mechanisms that establish a tumorigenic environment, first, during chronic HCV infection and then, after eventual viral eradication by DAAs. Furthermore, it reviews evidence reported by recent observational studies stating that the use of DAAs is not associated with an increased risk of HCC development but rather, with a significantly lower chance of liver cancer compared with DAA-untreated patients. In addition, it seeks to provide some practical guidance for clinicians, helping them to manage HCC surveillance of patients who have achieved SVR with DAAs.

Dynamic risk assessment for hepatocellular carcinoma in patients with chronic hepatitis C

Chronic hepatitis C (HCV) is a primary cause of hepatocellular carcinoma (HCC). Although antiviral treatment reduces risk of HCC, few studies quantify the impact of treatment on long-term risk in the era of direct-acting antivirals (DAA). Using data from the Chronic Hepatitis Cohort Study, we evaluated the impact of treatment type (DAA, interferon-based [IFN], or none) and outcome (sustained virological response [SVR] or treatment failure [TF]) on risk of HCC. We then developed and validated a predictive risk model. 17186 HCV patients were followed until HCC, death or last follow-up. We used extended landmark modelling, with time-varying covariates and propensity score justification and generalized estimating equations with a link function for discrete time-to-event data. Death was considered a competing risk. We observed 586 HCC cases across 104,000 interval-years of follow-up. SVR from DAA or IFN-based treatment reduced risk of HCC (aHR 0.13, 95% CI 0.08-0.20; and aHR 0.45, 95% CI 0.31-0.65); DAA SVR reduced risk more than IFN SVR (aHR 0.29, 95% CI 0.17-0.48). Independent of treatment, cirrhosis was the strongest risk factor for HCC (aHR 3.94, 95% CI 3.17-4.89 vs. no cirrhosis). Other risk factors included male sex, White race and genotype 3. Our six-variable predictive model had 'excellent' accuracy (AUROC 0.94) in independent validation. Our novel landmark interval-based model identified HCC risk factors across antiviral treatment status and interactions with cirrhosis. This model demonstrated excellent predictive accuracy in a large, racially diverse cohort of patients and could be adapted for 'real world' HCC monitoring.

Risk stratification and early detection biomarkers for precision HCC screening

Hepatocellular carcinoma (HCC) mortality remains high primarily due to late diagnosis as a consequence of failed early detection. Professional societies recommend semi-annual HCC screening in at-risk patients with chronic liver disease to increase the likelihood of curative treatment receipt and improve survival. However, recent dynamic shift of HCC etiologies from viral to metabolic liver diseases has significantly increased the potential target population for the screening, whereas annual incidence rate has become substantially lower. Thus, with the contemporary HCC etiologies, the traditional screening approach might not be practical and cost-effective. HCC screening consists of (i) definition of rational at-risk population, and subsequent (ii) repeated application of early detection tests to the population at regular intervals. The suboptimal performance of the currently available HCC screening tests highlights an urgent need for new modalities and strategies to improve early HCC detection. In this review, we overview recent developments of clinical, molecular, and imaging-based tools to address the current challenge, and discuss conceptual framework and approaches of their clinical translation and implementation. These encouraging progresses are expected to transform the current "one-size-fits-all" HCC screening into individualized precision approaches to early HCC detection and ultimately improve the poor HCC prognosis in the foreseeable future.

Immunometabolic factors contributing to obesity-linked hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a major public health concern that is promoted by obesity and associated liver complications. Onset and progression of HCC in obesity is a multifactorial process involving complex interactions between the metabolic and immune system, in which chronic liver damage resulting from metabolic and inflammatory insults trigger carcinogenesis-promoting gene mutations and tumor metabolism. Moreover, cell growth and proliferation of the cancerous cell, after initiation, requires interactions between various immunological and metabolic pathways that provide stress defense of the cancer cell as well as strategic cell death escape mechanisms. The heterogenic nature of HCC in addition to the various metabolic risk factors underlying HCC development have led researchers to focus on examining metabolic pathways that may contribute to HCC development. In obesity-linked HCC, oncogene-induced modifications and metabolic pathways have been identified to support anabolic demands of the growing HCC cells and combat the concomitant cell stress, coinciding with altered utilization of signaling pathways and metabolic fuels involved in glucose metabolism, macromolecule synthesis, stress defense, and redox homeostasis. In this review, we discuss metabolic insults that can underlie the transition from steatosis to steatohepatitis and from steatohepatitis to HCC as well as aberrantly regulated immunometabolic pathways that enable cancer cells to survive and proliferate in the tumor microenvironment. We also discuss therapeutic modalities targeted at HCC prevention and regression. A full understanding of HCC-associated immunometabolic changes in obesity may contribute to clinical treatments that effectively target cancer metabolism.

International multicenter validation of GES score for HCC risk stratification in chronic hepatitis C patients

We have recently demonstrated the ability of a simple predictive model (GES) score to determine the risk of hepatocellular carcinoma (HCC) after using direct-acting antivirals. However, our results were restricted to Egyptian patients with hepatitis C virus (HCV) genotype 4. Therefore, we studied a large, independent cohort of multiethnic populations through our international collaborative activity. Depending on their GES scores, patients are stratified into low risk (≤ 6/12.5), intermediate risk (> 6-7.5/12.5), and high risk (> 7.5/12.5) for HCC. A total of 12,038 patients with chronic HCV were analyzed in this study, of whom 11,202 were recruited from 54 centers in France, Japan, India, the U.S., and Spain, and the remaining 836 were selected from the Gilead-sponsored randomized controlled trial conducted across the U.S., Europe, Canada, and Australia. Descriptive statistics and log-rank tests. The performance of the GES score was evaluated using Harrell's C-index (HCI). The GES score proved successful at stratifying all patients into 3 risk groups, namely low-risk, intermediate-risk, and high-risk. It also displayed significant predictive value for HCC development in all participants (p < .0001), with HCI ranging from 0.55 to 0.76 among all cohorts after adjusting for HCV genotypes and patient ethnicities. The GES score can be used to stratify HCV patients into 3 categories of risk for HCC, namely low-risk, intermediate-risk, and high-risk, irrespective of their ethnicities or HCV genotypes. This international multicenter validation may allow the use of GES score in individualized HCC risk-based surveillance programs.

Predictive performance and clinical utility of HCC risk scores in chronic hepatitis C: a comparative study

BACKGROUND AND AIM

Many HCC risk prediction scores were developed to guide HCC risk stratification and identify CHC patients who either need intensified surveillance or may not require screening. There is a need to compare different scores and their predictive performance in clinical practice. We aim to compare the newest HCC risk scores evaluating their discriminative ability, and clinical utility in a large cohort of CHC patients.

PATIENTS AND METHODS

The performance of the scores was evaluated in 3075 CHC patients who achieved SVR following DAAs using Log rank, Harrell's c statistic, also tested for HCC-risk stratification and negative predictive values.

RESULTS

HCC developed in 212 patients within 5 years follow-up. Twelve HCC risk scores were identified and displayed significant Log rank (p ≤ 0.05) except Alonso-Lopez TE-HCC, and Chun scores (p = 0.374, p = 0.053, respectively). Analysis of the remaining ten scores revealed that ADRES, GES pre-post treatment, GES algorithm and Watanabe (post-treatment) scores including dynamics of AFP, were clinically applicable and demonstrated good statistical performance; Log rank analysis < 0.001, Harrell's C statistic (0.66-0.83) and high negative predictive values (94.38-97.65%). In these three scores, the 5 years cumulative IR in low risk groups be very low (0.54-1.6), so screening could be avoided safely in these patients.

CONCLUSION

ADRES, GES (pre- and post-treatment), GES algorithm and Watanabe (post-treatment) scores seem to offer acceptable HCC-risk predictability and clinical utility in CHC patients. The dynamics of AFP as a component of these scores may explain their high performance when compared to other scores.

Letter: evaluation and proposed re-classification of HCC prediction model in patients with chronic hepatitis C genotype 4

This article is linked to Tahata et al papers. To view these articles, visit https://doi.org/10.1111/apt.16632 and https://doi.org/10.1111/apt.16721