Proposed a simple score for recommendation of scheduled ultrasonography surveillance for hepatocellular carcinoma after Direct Acting Antivirals: multicenter analysis

Changes in clinical outcomes in Japanese patients with hepatocellular carcinoma due to hepatitis C virus following the development of direct-acting antiviral agents

BACKGROUND AND AIM

Direct-acting antivirals (DAAs) have been accessible in Japan since 2014. The aim of this study is to compare how the prognosis of patients with hepatitis C virus (HCV)-associated hepatocellular carcinoma (HCV-HCC) changed before and after DAA development.

METHODS

A retrospective analysis of 1949 Japanese HCV-HCC patients from January 2000 to January 2023 categorized them into pre-DAA (before 2013, n = 1169) and post-DAA (after 2014, n = 780) groups. Changes in clinical features and prognosis were assessed.

RESULTS

Despite no significant differences in BCLC stage between groups, the post-DAA group exhibited higher rates of sustained virological response (SVR) (45.6% vs. 9.8%), older age (73 vs 69 years), lower levels of AST (40 vs 56 IU/L), ALT (31 vs 46 IU/L), and AFP (11.7 vs 23.6 ng/mL), higher platelet count (13.5 vs 10.8 × 104/μL), better prothrombin time (88.0% vs 81.9%), and better ALBI score (-2.54 vs -2.36) (all P < 0.001). The post-DAA group also showed higher rates of curative treatments (74.1% vs 65.2%) and significantly improved recurrence-free survival (median 2.8 vs 2.1 years). Adjusted for inverse probability weighting, overall survival was superior in the post-DAA group (median 7.4 vs 5.6 years, P < 0.001). Subanalysis within the post-DAA group revealed significantly shorter overall survival for patients without SVR (median 4.8 years vs NA vs NA) compared to pre-SVR or post-SVR patients (both P < 0.001). No significant difference in OS was observed between the pre-SVR and post-SVR groups (P = 1.0).

CONCLUSION

The development of DAA therapy has dramatically improved the prognosis of HCV-HCC patients.

mADRES predicts hepatocellular carcinoma development in patients with hepatitis C virus who achieved sustained virological response

BACKGROUND AND AIM

The study aims to develop a novel predictive model including the fibrosis (FIB)-3 index for hepatocellular carcinoma (HCC) development in patients with chronic hepatitis C virus (HCV) who achieved sustained virological response (SVR) with direct-acting antiviral (DAA) therapy.

METHODS

This study included 2529 patients in whom HCV was eradicated with DAA therapy. The after DAA recommendation for surveillance (ADRES) score, which is based on sex, FIB-4 index, and α-fetoprotein, was used to predict HCC development. We developed a modified ADRES (mADRES) score, in which the FIB-4 index was replaced by the FIB-3 index, and evaluated its usefulness in predicting HCC development compared with the ADRES score.

RESULTS

In the training set (n = 1770), multivariate analysis with Cox proportional hazards modeling showed that male sex (hazard ratio [HR], 2.11; 95% confidence interval [CI], 1.48-3.01), FIB-3 index (HR, 1.36; 95% CI, 1.28-1.45), and α-fetoprotein (HR, 1.05; 95% CI, 1.03-1.07) are independently associated with HCC development. The incidence of HCC differed significantly by ADRES or mADRES score in multiple comparisons. Univariate Cox proportional hazards models showed that compared with the mADRES score 0 group, the HR for HCC development was 2.07 (95% CI, 1.02-4.19) for the mADRES score 1 group, 11.37 (95% CI, 5.80-22.27) for the mADRES score 2 group, and 21.95 (95% CI, 10.17-47.38) for the mADRES score 3 group. Similar results were obtained for mADRES score but not for ADRES score in the validation set (n = 759).

CONCLUSION

The mADRES score is useful for predicting HCC development after SVR.

Comparison of six hepatocellular carcinoma prediction models in Japanese patients after sustained virologic response undergoing rigorous surveillance for hepatocellular carcinoma

BACKGROUND AND AIM

While several predictive models for the development of hepatocellular carcinoma (HCC) have been proposed, including those for patients with chronic hepatitis C virus (HCV) infection who have achieved sustained virologic response (SVR), the best model may differ between regions. We compared the ability of six reported models to stratify the risk of post-SVR HCC in Japan, where rigorous surveillance and early detection of HCC is common.

METHODS

A total of 6048 patients with no history of HCC who achieved SVR by oral direct-acting antiviral drugs were enrolled in this nationwide study. Patients continued HCC surveillance every 6 months after SVR. The incidence of post-SVR HCC was compared between risk groups using the aMAP score, FIB-4 index, Tahata model, GAF4 criteria, GES score, and ADRES score.

RESULTS

During the observation period with a median duration of 4.0 years after SVR, post-SVR HCC developed in 332 patients (5.5%). All six models performed significantly at stratifying the incidence of HCC. However, Harrell's C-index was below 0.8 for all models (range, 0.660-0.748), indicating insufficient stratification ability.

CONCLUSION

Although all six proposed models demonstrated a good ability to predict the development of post-SVR HCC, their ability to stratify the risk of post-SVRHCC was unsatisfactory. Further studies are necessary to identify the best model for assessing the risk of post-SVR HCC in regions where early detection of HCC is common.

Regional Differences in Clinical Presentation and Prognosis of Patients With Post-Sustained Virologic Response Hepatocellular Carcinoma

BACKGROUND & AIMS

Widespread use of direct-acting antivirals for hepatitis C virus infection has been paralleled with increased numbers of patients with hepatocellular carcinoma (HCC) after achieving sustained virologic response (post-SVR HCC) worldwide. Few data compare regional differences in the presentation and prognosis of patients with post-SVR HCC.

METHODS

We identified patients with advanced fibrosis (F3/F4) who developed incident post-SVR HCC between March 2015 and October 2021 from 30 sites in Europe, North America, South America, the Middle East, South Asia, East Asia, and Southeast Asia. We compared patient demographics, liver dysfunction, and tumor burden by region. We compared overall survival by region using Kaplan-Meier analysis and identified factors associated with survival using multivariable Cox regression analysis.

RESULTS

Among 8796 patients with advanced fibrosis or cirrhosis who achieved SVR, 583 (6.6%) developed incident HCC. There was marked regional variation in the proportion of patients detected by surveillance (range: 59.5%-100%), median maximum tumor diameter (range, 1.8-5.0 cm), and the proportion with multinodular HCC (range, 15.4%-60.8%). The prognosis of patients highly varied by region (hazard ratio range, 1.82-9.92), with the highest survival rates in East Asia, North America, and South America, and the lowest survival rates in the Middle East and South Asia. After adjusting for geographic region, HCC surveillance was associated with early stage detection (Barcelona Clinic Liver Cancer stage 0/A, 71.0% vs 21.3%; P < .0001) and lower mortality rates (adjusted hazard ratio, 0.29; 95% CI, 0.18-0.46).

CONCLUSIONS

Clinical characteristics, including early stage detection, and prognosis of post-SVR HCC differed significantly across geographic regions. Surveillance utilization appears to be a high-yield intervention target to improve prognosis among patients with post-SVR HCC globally.

Noninvasive Fibrosis Assessment in Chronic Hepatitis C Infection: An Update

Liver biopsy is historically the gold standard for liver fibrosis assessment of chronic hepatitis C patients. However, with the introduction and validation of noninvasive tests (NITs) to evaluate advanced fibrosis, and the direct-acting antiviral agents for treatment of chronic hepatitis C virus (HCV), the role of NITs have become even more complex. There is now need for longitudinal monitoring and elucidation of cutoff values for prediction of liver-related complication after sustained virological response. The aim of this report is to provide a critical overview of the various NITs available for the assessment of liver fibrosis in HCV patients.

Management of dialysis patients with hepatitis C virus in the era of direct-acting antiviral therapy

The clinical use of direct-acting antivirals (DAAs) for hepatitis C virus (HCV) infection has dramatically changed management of patients with HCV liver disease since 2014; this is also true for patients undergoing dialysis. Due to the high tolerability and antiviral efficacy of anti-HCV therapy, most dialysis patients with HCV infection should currently be candidates for this treatment. Many patients with HCV antibodies no longer have HCV infection, and it is difficult to identify patients with actual HCV infection based only on HCV antibody assays. Despite the high rate of successful HCV eradication, the risk of liver-related events such as hepatocellular carcinoma (HCC), the major complication of HCV infection, persists even after HCV cure, and patients at risk of HCC should undergo continuous HCC surveillance. Finally, the rarity of HCV reinfection and the survival benefit of HCV eradication in dialysis patients should be explored in further studies.

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.

Machine learning for individualized prediction of hepatocellular carcinoma development after the eradication of hepatitis C virus with antivirals

BACKGROUND AND AIMS

Accurate risk stratification for hepatocellular carcinoma (HCC) after achieving a sustained viral response (SVR) is necessary for optimal surveillance. We aimed to develop and validate a machine learning (ML) model to predict the risk of HCC after achieving an SVR in individual patients.

METHODS

In this multicenter cohort study, 1742 patients with chronic hepatitis C who achieved an SVR were enrolled. Five ML models were developed including DeepSurv, gradient boosting survival analysis, random survival forest (RSF), survival support vector machine, and a conventional Cox proportional hazard model. Model performance was evaluated using Harrel' c-index and was externally validated in an independent cohort (977 patients).

RESULTS

During the mean observation period of 5.4 years, 122 patients developed HCC (83 in the derivation cohort and 39 in the external validation cohort). The RSF model showed the best discrimination ability using seven parameters at the achievement of an SVR with a c-index of 0.839 in the external validation cohort and a high discriminative ability when the patients were categorized into three risk groups (P <0.001). Furthermore, this RSF model enabled the generation of an individualized predictive curve for HCC occurrence for each patient with an app available online.

CONCLUSIONS

We developed and externally validated an RSF model with good predictive performance for the risk of HCC after an SVR. The application of this novel model is available on the website. This model could provide the data to consider an effective surveillance method. Further studies are needed to make recommendations for surveillance policies tailored to the medical situation in each country.

IMPACT AND IMPLICATIONS

A novel prediction model for HCC occurrence in patients after hepatitis C virus eradication was developed using machine learning algorithms. This model, using seven commonly measured parameters, has been shown to have a good predictive ability for HCC development and could provide a personalized surveillance system.

Evaluation of the aMAP score for hepatocellular carcinoma surveillance: a realistic opportunity to risk stratify

BACKGROUND AND AIMS

The aMAP score is a model that predicts risk of hepatocellular carcinoma (HCC) development in patients with chronic hepatitis. Its performance in a 'real world' surveillance setting has not yet been ascertained.

PATIENTS AND METHODS

We had access to a cohort of 3473 individuals enrolled in a rigorously implemented and prospectively accrued surveillance programme (patients undergoing regular ultrasound and biomarker examination between 1998 and 2021). During this period 445 had HCC detected. Of these, 77.8% had early stage disease (within Milan criteria), permitting potentially curative therapy to be implemented in nearly 70% of cases. We applied the recently developed aMAP score to classify patients according to their initial aMAP score in to low, medium and high-risk groups as proposed in the original publication. The performance of the aMAP score was assessed according to the concordance-index and calibration (i.e. agreement between observed and predicted risk). Allowance was made for competing causes of death.

RESULTS

The aMAP score achieved an overall C-index of 0.81 (95% CI: 0.79-0.82) consistent with the initial report and was unaffected by allowance for competing causes of death. Sub-group analysis showed that the results did not change significantly according to gender, or aetiology. However, aMAP discrimination was greater for younger individuals (versus older individuals), and also for individuals without cirrhosis. The HCC incidence rate was 0.98, 7.05 and 29.1 events per 1000 person-years in the low-, moderate- and high-risk aMAP groups, respectively.

CONCLUSIONS

The results from this 'real-world' cohort demonstrate that risk stratification is a realistic prospect and that identification of a subgroup of chronic liver disease patients who have a very low risk of HCC is feasible.

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.

Prediction of hepatocellular carcinoma in Hepatitis C patients with advanced fibrosis after sustained virologic response

BACKGROUND & AIMS

Prediction of hepatocellular carcinoma (HCC) occurrence in patients with chronic hepatitis C (HCV) who achieved a sustained virological response (SVR) after direct acting antivirals (DAAs) remains challenging.

METHODS

Among HCC-free HCV patients with advanced fibrosis enrolled in the ANRS CO22 HEPATHER cohort who achieved SVR 12 weeks after treatment with DAAs, HCC predictive models were developed using Cox multivariable regression. The derived score was externally validated in a large Egyptian cohort. Our main outcome was the HCC-free survival.

RESULTS

During follow-up (median 3.05 years), 153 out of 3531 patients developed a HCC. Main variables associated with HCC occurrence were: male gender, HCV genotype 3, esophageal varices, albumin < 40 g/L, total bilirubin >11 µmol/L and hypercholesterolemia before DAA initiation, together with age > 58 years, FIB-4 index ≥3.25 evaluated at SVR. A score was established allowing the stratification of patients by high (score ≥ 12/22), intermediate (7 ≤ score <12) and low risk of HCC (score < 7/22) with 3-yrs HCC incidence of 18.96%, 5.50% and 1.65%, respectively. The integrated time-dependent area under the ROC curve (i-AUC) was 0.76 in our patients and 0.61 in the validation cohort.

CONCLUSION

The externally validated HEPATHER HCC score has good short-term predictive performance in HCV- patients who achieved SVR12 after DAAs allowing to identify high-risk patients in whom HCC screening may be cost-effective and low-risk patients in whom HCC screening may be superfluous in the first 3 years after SVR.

General evaluation score for predicting the development of hepatocellular carcinoma in patients with advanced liver fibrosis associated with hepatitis C virus genotype 1 or 2 after direct‐acting antiviral therapy

Background and Aim

To validate a composite predictive model for hepatocellular carcinoma (HCC) development in patients with advanced liver fibrosis associated with chronic hepatitis C virus (HCV) who have received direct‐acting antiviral (DAA) therapy and achieved sustained virologic response (SVR).

Methods

This study included 1258 patients with advanced liver fibrosis associated with HCV genotype 1, 2, or both. General evaluation score (GES), which is based on sex, age, fibrosis stage, albumin, and α‐fetoprotein, was used as a composite predictive model.

Results

There were 645 (51.3%) patients in the low‐risk group, 228 (18.1%) in the intermediate‐risk group, and 385 (30.6%) in the high‐risk group based on GES categories. The 12‐, 36‐, and 60‐month cumulative incidence of HCC was 0.7%, 5.3%, and 13.0%, respectively. Multivariable analysis with Cox proportional hazards models showed that male sex (hazard ratio [HR], 1.863; 95% confidence interval [CI], 1.204–2.883), F4 fibrosis stage (HR, 3.199; 95% CI, 1.696–6.036), and albumin (HR, 0.489; 95% CI, 0.288–0.828) are independently associated with HCC development. The incidence of HCC differed significantly by GES‐based risk category (P < 0.001). Cox proportional hazards models showed that, with the low‐risk group as the referent, the HR for HCC development was 1.875 (95% CI, 1.000–3.514) in the intermediate‐risk group and 2.819 (95% CI, 1.716–4.630) in the high‐risk group. GES had better predictive ability for HCC development than fibrosis‐4 index according to time‐dependent receiver operating characteristic analysis.

Conclusion

GES is useful for predicting HCC development in patients with advanced liver fibrosis after SVR.

Characteristics of hepatocellular carcinoma in patients with hepatitis C virus who received direct‐acting antiviral therapy and achieved sustained virological response: The impact of a hepatologist on surveillance

Background and Aim

The relationship between the characteristics of hepatocellular carcinoma (HCC) diagnosed after sustained virological response (SVR) with direct‐acting antiviral (DAA) therapy and surveillance status has not been sufficiently investigated. This study investigated the clinical risk factors for HCC development and HCC characteristics according to which type of physician performed follow‐up after SVR.

Methods

A total of 1070 patients in whom hepatitis C virus (HCV) was eradicated with DAA therapy were evaluated.

Results

There were 458 patients followed by hepatologists (specialist group) and 612 followed by non‐hepatologists (non‐specialist group) after SVR. During the follow‐up period, 54 patients developed HCC. The 1‐, 2‐, 3‐, 4‐, and 5‐year cumulative incidence rates of HCC were 1.8, 4.1, 6.9, 10.5, and 17.2%, respectively. Multivariate Cox proportional hazards analysis showed that male sex (hazard ratio [HR], 3.139; 95% confidence interval [CI], 1.732–5.690), α‐fetoprotein level (HR, 1.056; 95% CI, 1.035–1.077), and fibrosis‐4 (FIB‐4) index (HR, 1.051; 95% CI, 1.017–1.085) were significantly associated with HCC development, while the follow‐up physician type after SVR was not. There were 25 patients with stage I HCC, 17 with stage II, 9 with stage III, and 3 with stage IV. Multivariate ordinal logistic regression showed that follow‐up physician type (non‐specialist) (HR, 39.100; 95% CI, 9.350–224.00) was independently associated with HCC stage, while α‐fetoprotein level and FIB‐4 index were not.

Conclusion

When patients have more risk factors for HCC development after SVR (i.e., male sex, elevated α‐fetoprotein, or elevated FIB‐4 index), they should be followed by a hepatologist for HCC surveillance.

Real‐world long‐term analysis of daclatasvir plus asunaprevir in patients with hepatitis C virus infection

Background and Aim

Methods

Results

Conclusions

Liver cancer risk-predictive molecular biomarkers specific to clinico-epidemiological contexts

Hepatocellular carcinoma (HCC) risk prediction is increasingly important because of the low annual HCC incidence in patients with the rapidly emerging non-alcoholic fatty liver disease or cured HCV infection. To date, numerous clinical HCC risk biomarkers and scores have been reported in literature. However, heterogeneity in clinico-epidemiological context, e.g., liver disease etiology, patient race/ethnicity, regional environmental exposure, and lifestyle-related factors, obscure their real clinical utility and applicability. Proper characterization of these factors will help refine HCC risk prediction according to certain clinical context/scenarios and contribute to improved early HCC detection. Molecular factors underlying the clinical heterogeneity encompass various features in host genetics, hepatic and systemic molecular dysregulations, and cross-organ interactions, which may serve as clinical-context-specific biomarkers and/or therapeutic targets. Toward the goal to enable individual-risk-based HCC screening by incorporating the HCC risk biomarkers/scores, their assessment in patient with well-defined clinical context/scenario is critical to gauge their real value and to maximize benefit of the tailored patient management for substantial improvement of the poor HCC prognosis.

P53 is a risk factor of de-novo hepatitis C-related hepatocellular carcinoma treated with direct-acting antivirals: a case-control study

BACKGROUND

The mechanisms underlying de-novo hepatocellular carcinoma (HCC) after direct-acting antivirals (DAAs) is still under investigation. This work aims to study P53 and hepatocyte growth factor (HGF) as possible diagnostics of de-novo hepatocellular carcinoma (HCC) following DAAs in comparison to alpha-fetoprotein (AFP).

METHOD

This case-control study included 166 patients with liver cirrhosis divided into group-1: patients without HCC (n = 50), group-2: patients with de-novo HCC following DAAs, and achieved sustained virological response (n = 50), and group-3: patients with HCC without DAAs (n = 66). P53 antibody and HGF were determined using a quantitative sandwich enzyme immunoassay technique (Cusabio Co, Houston, USA).

RESULTS

Patients with HCC showed significantly higher HGF. Patients with de-novo HCC following DAAs had significantly higher P53 than HCC without DAAs (P < 0.0001). The multiple logistic regression analysis showed that the P53 levels were significantly associated with susceptibility to de-novo HCC (P value = 0.004). The best overall formula was constructed for HCC diagnosis by entering significant markers into the regression model. A three markers model was developed = (1.22 + AFP X 0.002 + HGF X 0.001 + P53 X 0.001). The medians (percentiles) of combined three markers were 1.8 (1.0-2.1) in liver cirrhosis and 2.2 (2.0-2.9) in all HCC (P < 0.00001). The AUC of combined markers was greater than a single marker. The AUC was 0.87 to differentiate HCC from liver cirrhosis; AUC 0.91 to differentiate de-novo HCC after DAAs from liver cirrhosis.

CONCLUSION

P53 may serve as a diagnostic marker for de-novo HCC after DAAs therapy. HGF may serve as a diagnostic marker for HCC but not specific for de-novo HCC after DAAs therapy.

A validation study of after direct-acting antivirals recommendation for surveillance score for the development of hepatocellular carcinoma in patients with hepatitis C virus infection who had received direct-acting antiviral therapy and achieved sustained virological response

Background and Aim

The pathogenic process underlying the development of hepatocellular carcinoma (HCC) is not yet clear in patients with hepatitis C virus (HCV) who have received direct-acting antiviral (DAA) therapy and achieved sustained virological response (SVR). This study validated a composite predictive model for HCC in these patients.

Methods

This study included 3058 patients in whom HCV was eradicated with DAA therapy. After DAAs recommendation for surveillance (ADRES) score, which is based on sex, FIB-4 index, and α-fetoprotein, was used as a composite predictive model for HCC development.

Results

The 1-, 3-, and 5-year cumulative incidence rates of HCC were 0.9, 4.5, and 15.2%, respectively. Multivariate analysis with Cox proportional hazards models showed that male sex (hazard ratio [HR], 2.646; 95% confidence interval [CI], 1.790-3.911), FIB-4 index >3.25 (HR, 2.891; 95% CI, 1.947-4.293), and α-fetoprotein >5 ng/mL (HR, 2.835; 95% CI, 1.914-4.200) are independently associated with HCC development. The incidence of HCC differed significantly by ADRES score (P < 0.001). Cox proportional hazards models showed that compared to the ADRES score 0 group, the HR for HCC development was 2.947 (95% CI, 1.367-6.354) in the ADRES score 1 group, 9.171 (95% CI, 4.339-19.380) in the ADRES score 2 group, and 20.630 (95% CI, 8.641-49.230) in the ADRES score 3 group. ADRES score had superior predictive power for HCC development compared with the FIB-4 index and α-fetoprotein according to time-dependent receiver operating characteristic analysis.

Conclusion

The ADRES score is useful for predicting HCC development after SVR.

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.

Value of heat shock protein 90 combined with alpha-fetoprotein in early diagnosis of hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) is the sixth most common cancer in the world, and early diagnosis mainly relies on serological examination. With the deepening of molecular research of heat shock protein 90 (HSP90) in hepatocellular carcinoma, this study innovatively explored the value of HSP90 combined with alpha-fetoprotein (AFP) in early diagnosis of HCC.

AIM

To evaluate the diagnostic value of HSP90 combined with AFP in HCC.

METHODS

A total of 383 subjects, including patients with primary liver cancer, those with posthepatitic cirrhosis (types B and C), and healthy subjects, were selected from August 2017 to July 2020. The serum concentration of AFP was measured by electrochemical method, the serum concentration of HSP90 was measured by ELLISA, and the results were processed and analyzed using statistical software.

RESULTS

When AFP or HSP90 alone was used for the diagnosis of HCC, the sensitivity of HSP90 was higher than that of AFP, while the specificity of AFP was higher than that of HSP90. The sensitivity and specificity of AFP combined with HSP90 in the diagnosis of HCC were 87.8% and 91.2%, respectively.

CONCLUSION

AFP combined with HSP90 can significantly improve the diagnostic value of either of them alone in HCC.

Predicting Hepatocellular Carcinoma Risk in Patients with Chronic HCV Infection and a Sustained Virological Response to Direct-Acting Antivirals

Chronic infection with hepatitis C virus (HCV) may complicate with hepatocellular carcinoma (HCC), especially in patients with cirrhosis. Although the achievement of a sustained virological response (SVR) had been associated with a reduction in the risk of HCC already in the Interferon era, some concerns initially raised following the use of direct-acting antivirals (DAA), as their use was associated with increased risk of HCC development and aggressiveness. However, studies demonstrated that the risk of HCC was strongly influenced by pre-treatment fibrosis stage and, eventually, prior HCC history more than the type of antiviral therapy. According to published studies, rates of de-novo HCC ranged between 1.4% and 13.6% in patients with cirrhosis or advanced fibrosis vs 0.9% and 5.9% in those with chronic hepatitis C (CHC). Conversely, rates of recurrent HCC were higher, ranging between 3.2% and 49% in cirrhotics vs 0% and 40% in CHC patients. Most studies tried to identify predictors of HCC development, either de-novo or recurrent, and some authors were also able to build predictive scores for HCC risk stratification, which however still need prospective validation. Whereas some clinical features, such as age, gender, presence of comorbidities and fibrosis stage, may influence both de-novo and recurrent HCC, previous tumour burden before DAA seems to prevail over these features in recurrent HCC risk prediction.

Clinical and Molecular Prediction of Hepatocellular Carcinoma Risk

Prediction of hepatocellular carcinoma (HCC) risk becomes increasingly important with recently emerging HCC-predisposing conditions, namely non-alcoholic fatty liver disease and cured hepatitis C virus infection. These etiologies are accompanied with a relatively low HCC incidence rate (~1% per year or less), while affecting a large patient population. Hepatitis B virus infection remains a major HCC risk factor, but a majority of the patients are now on antiviral therapy, which substantially lowers, but does not eliminate, HCC risk. Thus, it is critically important to identify a small subset of patients who have elevated likelihood of developing HCC, to optimize the allocation of limited HCC screening resources to those who need it most and enable cost-effective early HCC diagnosis to prolong patient survival. To date, numerous clinical-variable-based HCC risk scores have been developed for specific clinical contexts defined by liver disease etiology, severity, and other factors. In parallel, various molecular features have been reported as potential HCC risk biomarkers, utilizing both tissue and body-fluid specimens. Deep-learning-based risk modeling is an emerging strategy. Although none of them has been widely incorporated in clinical care of liver disease patients yet, some have been undergoing the process of validation and clinical development. In this review, these risk scores and biomarker candidates are overviewed, and strategic issues in their validation and clinical translation are discussed.

Simple scoring system for prediction of hepatocellular carcinoma occurrence after hepatitis C virus eradication by direct-acting antiviral treatment: All Kagawa Liver Disease Group Study

Direct acting antivirals (DAA) have recently been developed to treat patients with hepatitis C virus (HCV) infection, and interferon-free DAA treatment has improved the cure rate of patients. However, the occurrence rate of hepatocellular carcinoma (HCC) following HCV eradication remains unknown. Therefore, the present study aimed to identify predictors of HCC occurrence following DAA treatment. Among 1,454 patients infected with HCV, 1,088 patients who achieved sustained virologic response and who had no history of HCC treatment were recruited between September 2014 and November 2018. The incidence of HCC in patients infected with HCV following DAA treatment, and the predictors contributing to HCC occurrence were identified using clinicopathological characteristics and blood test results. During the present study, 26 patients developed HCC. The incidence of HCC was 0.61, 1.88, 2.82 and 3.71% at 6, 12, 18 and 24 months after treatment with DAA, respectively. The results of multivariate analysis identified age [hazard ratio (HR), 1.0729; P=0.0044] and α-fetoprotein (AFP) level after DAA treatment (HR, 1.0486; P=0.0486) as independent factors that may contribute to HCC occurrence following DAA treatment. By using these two factors, a novel scoring system (0-2 points) was established to predict HCC occurrence following HCV eradication by DAA treatment. The incidence of HCC at 2 years was 0.3% in the 0 points group, 6.27% in the 1 point group and 18.37% in the 2 points group. In conclusion, AFP level after DAA treatment and age at DAA administration were identified as independent predictors of HCC occurrence in patients that were treated with DAA. The scoring system that was established in the present study is simple and easy, and using pre-treatment factors may be a convenient tool to predict the risk of HCC occurrence in HCV-free patients following DAA treatment.