Literature DB >> 25320724

Risk stratification of HBV infection in Asia-Pacific region.

Jia-Horng Kao1.   

Abstract

Hepatitis B virus (HBV) infection is the major etiology of chronic liver disease worldwide and thus a global health problem, especially in Asia-Pacific region. The long-term outcomes of Asian HBV carriers vary widely; however, a significant proportion of them will finally develop end-stage liver disease. Over the past decade, several host and HBV factors predictive of clinical outcomes in Asian HBV carriers have been identified. The community-based REVEAL-HBV study illustrated the strong association between HBV-DNA level at study entry and risk of HCC over time, and male gender, older age, high serum alanine aminotransferase (ALT) level, positive HBeAg, higher HBV-DNA level, HBV genotype C infection and core promoter mutation are independently associated with a higher hepatocellular carcinoma (HCC) risk. Another hospital-based ERADICATE-B cohort further validated the HCC risk started to increase when HBV-DNA level was higher than 2,000 IU/mL. Of particular note, in patients with low viral load (HBV-DNA level <2,000 IU/mL), HBsAg level ≥1,000 IU/mL was a new independent risk factor for HCC. With the results from REVEAL-HBV study, a risk calculator for predicting HCC in adult non-cirrhotic patients has been developed and validated by independent international cohorts (REACH-B). With the combination of HBV-DNA, HBsAg, and ALT levels, ERADICATE-B study proposed an algorithm to predict disease progression and categorize risk levels of HCC as well as corresponding management in Asian HBV carriers. The introduction of transient elastography may further enhance the predictive power. In conclusion, HBsAg level can complement HBV-DNA level for the risk stratification of disease progression in Asian adult patients with chronic HBV infection.

Entities:  

Keywords:  HBV-DNA; HBsAg; Hepatitis B virus (HBV); Hepatocellular carcinoma; Risk stratification

Mesh:

Substances:

Year:  2014        PMID: 25320724      PMCID: PMC4197169          DOI: 10.3350/cmh.2014.20.3.223

Source DB:  PubMed          Journal:  Clin Mol Hepatol        ISSN: 2287-2728


INTRODUCTION

Hepatitis B virus (HBV) infection is prevalent in Asia, Africa, Southern Europe and Latin America, where the prevalence of HBsAg in the general population ranges from 2% to 20%.1 The long-term outcomes of chronic HBV infection vary widely. Literature review indicates that two-thirds of Asian HBV carriers have favorable clinical outcomes including inactive carrier state and loss of hepatitis B surface antigen (HBsAg), whereas one-third of them develop adverse outcomes including hepatic decompensation, cirrhosis and even hepatocellular carcinoma (HCC) in their lifetime.2 Because the lifetime risk of Asian HBV carriers to develop end-stage liver disease is as high as 15% to 40%.3 The identification of risk factors for the development of advanced liver disease, especially cirrhosis and HCC, in Asian HBV carriers is thus important for the implementation of effective antiviral treatment as early as possible. Recently, several qualitative and quantitative hepatitis B viral factors affecting the natural course and treatment outcome of HBV carriers have been identified.4,5 Among these viral factors, baseline serum HBV-DNA level is the main driving force for cirrhosis and HCC development in adult HBV carriers.6 Recently, quantitative hepatitis B surface antigen (qHBsAg) has been increasingly recognized to be a biomarker to predict both favorable and adverse outcomes of HBV carriers.7,8 In this review, qualitative and quantitative HBV factors affecting disease progression and the risk stratification for disease progression in Asian HBV carriers will be discussed.

Qualitative HBV factors

HBV genotype

At least 10 HBV genotypes (A to J) have been defined, and HBV genotype has been documented to have specific geographic distribution and influence the long-term outcomes of HBV infection.9 In Asia-Pacific region, HBV genotype B and C are the predominant strains and HBV genotype C patients, compared to genotype B patients, have late or absent HBeAg seroconversion after multiple hepatitis flares that accelerate the progression of chronic hepatitis.10,11 Most previous studies indicated that patients with HBV genotype C infection have a higher risk of cirrhosis and HCC than those with genotype B infection.9,12,13

HBV mutant

Mutations in precore, core promoter and deletion mutation in pre-S/S genes have been reported to be associated with the progression of liver disease, including cirrhosis and HCC.2 Previous studies revealed that dual mutations in basal core promoter (BCP) A1762T/G1764A were strongly associated with the risk of HCC development.13,14,15,16,17,18 Deletion mutations in the pre-S gene of HBV genome frequently occur in chronic HBV infection.2 The deletion over pre-S gene may cause accumulation of large surface protein in the endoplasmic reticulum (ER), resulting in ER stress and hepatocarcinogenesis.19,20,21

Quantitative HBV factors

During HBV replication, pregenomic RNA can be transcribed from covalently closed circular DNA (cccDNA) to serve as the template of negative-strand DNA through reverse transcription, and then fully double-stranded DNA through DNA polymerase within the nucleocapsid, finally with the assembly of envelope protein to form mature HBV virions.2 Several mRNAs can also be transcribed from cccDNA and then translate to viral proteins. Therefore, several qualitative viral factors can be clinically useful, including HBV-DNA from the infectious particles and circulating viral proteins such as HBsAg and HBeAg.

HBV-DNA level

Several commercial real-time PCR assays have been developed to detect and quantify HBV DNA.22 Nowadays, quantification of serum HBV-DNA is recommended by several international HBV guidelines to diagnose HBV infection, establish the indication for therapy, and to monitor antiviral treatment responses and emergence of drug resistance.23 HBV-DNA quantification also provides valuable prognostic information. The impact of viral load on the risk of HCC was assessed in a population-based prospective cohort of untreated CHB Taiwanese patients (REVEAL-HBV study).24 The data showed that the cumulative incidence of HCC increased with serum HBV DNA level. It ranged from 1.3% to 14.9% for patients with an HBV DNA level of less than 300 copies/ml (~60 IU/ mL) and 106 copies/ml (~200,000 IU/mL) or more, respectively (P<0.001). A recent hospital-based cohort study further validated the HCC risk started to increase when HBV-DNA level was higher than 2,000 IU/mL.25 All these data confirm that HBV-DNA level is the trigger of hepatitis activity and the strongest risk factor associated with HCC development in adult Asian patients with chronic HBV infection.

HBsAg quantification

In addition to HBV-DNA level, the clinical significance of quantitative HBsAg has become increasingly recognized.7 This old biomarker has a new role in current management of chronic HBV infection. In the natural course of HBV infection, HBV-DNA is only from infectious particles and levels reflect viral replication. Accordingly, a decline of HBV-DNA means reduction of HBV replication. In contrast, HBsAg can be derived from both mature virions and defective particles. Thus serum HBsAg level not only reflects the cccDNA transcription or mRNA translation, but also host immune control over HBV infection.26,27 Our recent study showed that low serum HBsAg level (<100 IU/mL), alone or in combination with HBV-DNA levels, at 1 year after HBeAg seroconversion could predict HBsAg loss in patients with HBV genotype B or C infection.28 In addition, qHBsAg was better than serum HBV-DNA level for the prediction of spontaneous HBsAg loss in HBeAg-negative carriers with a low viral load (<2,000 IU/mL). Moreover, HBsAg level <10 IU/mL was the strongest predictor of HBsAg loss in patients with a low viral load.29 Taken together, there indeed exists a correlation between qHB-sAg and liver disease progression. In the recent update of REVEAL-HBV study, qHBsAg was analyzed, and the results showed that both HBsAg and HBV-DNA levels are independent predictors of HCC development.30 Our hospital-based ERADICATE-B study (Elucidation of Risk Factors for Disease Control or Advancement in Taiwanese Hepatitis B Carriers) also showed similar findings. In brief, a total of 2,688 non-cirrhotic Taiwanese chronic hepatitis B patients followed for a mean of 14.7 years. HCC risk increased when patients had increased HBV DNA level.31 Although the incidence of HCC is significantly associated with baseline serum HBV-DNA levels, inactive or low risk HBV carriers (serum HBV-DNA levels <2,000 IU/ml) still have significantly higher hazard ratios for HCC compared with individuals without HBV infection. Therefore, it is important to identify factors predictive of HCC other than HBV-DNA level in these inactive or low risk HBV carriers. In the ERADICATE-B study, we evaluated 1,068 HBeAg-negative patients with low viral load (<2,000 IU/mL). Risk factors for HBeAg-negative hepatitis as well as HCC development included advanced age, male gender, elevated levels of ALT and high qHBsAg (≧1,000 IU/mL), but not levels of HBV DNA. Multivariate analysis revealed that qHBsAg ≧1,000 IU/mL was an independent risk factor for HCC development.31 Data from REVEAL-HBV study and ERADICATE-B study all showed that serum HBsAg and HBV DNA levels were complementary markers in predicting disease progression to cirrhosis and HCC.24,31,32

Risk calculator and algorithm for disease progression

Several host and viral factors predictive of HCC risk have been identified, and the REACH-B (Risk Estimation for Hepatocellular Carcinoma in Chronic Hepatitis B) study has developed and validated a predictive score for the risk of development of HCC in patients with chronic hepatitis B.33 This study included risk score development cohort with 3,584 non-cirrhotic CHB Taiwanese and a validation cohort with 1,050 patients from three independent hospitals of Hong Kong and Republic of Korea. The 17-point risk score is composed of 5 predictors of HCC, including sex, age, serum ALT level, HBeAg status, and serum HBV-DNA level. The risk score could precisely estimate the risk of HCC development at 3, 5, and 10 years of follow-up. Nevertheless, this risk scoring system of HCC may underestimate risk for patients with very low viral load at baseline. In ERADICATE-B study, the risk of HCC for carriers with HBV-DNA <2,000 IU/mL and HBsAg ≧1,000 IU/mL was much higher than those with HBV-DNA <2,000 IU/mL and HBsAg <1,000 IU/mL.31 This finding indicated that high HBsAg level itself may reflect inadequate host immune control against HBV infection, leading to an increased HCC risk over time in patients with low viral load. Therefore, serum HBsAg level should be integrated into the HCC risk calculator for future management of patients with chronic HBV infection, particularly in those with low and intermediate viral loads. Furthermore, the relationships between HCC risk and dynamic changes of serum HBV-DNA, HBsAg, and ALT levels were determined in the ERADICATE-B study. Compared to patients with persistently low levels of HBV-DNA, HBsAg, or ALT, those with persistently high levels of these 3 factors were at a higher risk of HCC.32 Therefore, it is essential to incorporate qualitative and quantitative hepatitis B viral factors in risk calculation model to make it more comprehensive and to be clinically useful in various forms of chronic liver disease, including inactive carrier state, chronic hepatitis and cirrhosis (Fig.).
Figure

Algorithm to categorize risk of disease progression and HCC in Asian adult patients with chronic hepatitis B virus infection.

Transient elastography-based risk estimation

The severity of hepatic fibrosis is known to be associated with HCC risk,34 however, this parameter has not been incorporated in the risk model for HCC development because of the invasive nature of liver biopsy. Recently, liver stiffness measurement by using transient elastography has been introduced as a noninvasive method for assessing the severity of hepatic fibrosis.35 A previous study showed that the baseline liver stiffness values could be an independent predictor of HCC in patients with chronic HBV infection, where the 3-year cumulative incidence of HCC was significantly higher in patients with a higher liver stiffness value.34 A recent Korean study included 1,250 CHB patients with baseline liver stiffness values to construct a predictive model for HCC occurrence based on a Cox proportional hazards model.36 By using multivariate analysis, age, male gender, and liver stiffness values were independent predictors of HCC, whereas HBV-DNA level ≥20,000 IU/L showed borderline statistical significance. A predictive model for HCC was developed using these 4 variables, with a correlation coefficient of 0.905 between predicted risk and observed risk of HCC occurrence. The suggested formula for 3-year probability of HCC occurrence is 1 - PA (A=exp [0.05306×age+1.106×male gender+0.04858×liver stiffness value+0.50969×HBV DNA ≥20,000 IU/L]). Thus, this novel model may accurately estimate the risk of HCC occurrence in Asian patients with chronic HBV infection.

CONCLUSIONS

Several host and HBV factors such as age, gender, ALT level, hepatic fibrosis stage, serum HBsAg level, viral load, genotype and mutants are shown to affect disease progression and HCC development in chronic hepatitis B patients. On the basis of population and hospital-based cohort studies, risk stratification for disease progression and HCC in patients with chronic HBV infection has been established step by step. In the future, multivariate risk assessment profiles for disease progression and HCC should be integrated with current HBV treatment guidelines to enable practicing physicians to have better management of HBV carriers with different HCC risks.
  36 in total

1.  Development of a non-invasive algorithm with transient elastography (Fibroscan) and serum test formula for advanced liver fibrosis in chronic hepatitis B.

Authors:  G L H Wong; V W S Wong; P C L Choi; A W H Chan; H L Y Chan
Journal:  Aliment Pharmacol Ther       Date:  2010-02-23       Impact factor: 8.171

2.  Serum hepatitis B surface antigen levels predict surface antigen loss in hepatitis B e antigen seroconverters.

Authors:  Tai-Chung Tseng; Chun-Jen Liu; Tung-Hung Su; Chia-Chi Wang; Chi-Ling Chen; Pei-Jer Chen; Ding-Shinn Chen; Jia-Horng Kao
Journal:  Gastroenterology       Date:  2011-04-28       Impact factor: 22.682

Review 3.  Hepatitis B surface antigen quantification: why and how to use it in 2011 - a core group report.

Authors:  Henry Lik-Yuen Chan; Alex Thompson; Michelle Martinot-Peignoux; Teerha Piratvisuth; Markus Cornberg; Maurizia Rossana Brunetto; Hans L Tillmann; Jia-Horng Kao; Ji-Dong Jia; Heiner Wedemeyer; Stephen Locarnini; Harry L A Janssen; Patrick Marcellin
Journal:  J Hepatol       Date:  2011-06-28       Impact factor: 25.083

4.  Risk assessment of hepatitis B virus-related hepatocellular carcinoma development using liver stiffness measurement (FibroScan).

Authors:  Kyu Sik Jung; Seung Up Kim; Sang Hoon Ahn; Young Nyun Park; Do Young Kim; Jun Yong Park; Chae Yoon Chon; Eun Hee Choi; Kwang-Hyub Han
Journal:  Hepatology       Date:  2011-02-11       Impact factor: 17.425

5.  Genotypes and clinical phenotypes of hepatitis B virus in patients with chronic hepatitis B virus infection.

Authors:  Jia-Horng Kao; Pei-Jer Chen; Ming-Yang Lai; Ding-Shinn Chen
Journal:  J Clin Microbiol       Date:  2002-04       Impact factor: 5.948

6.  Serum hepatitis B virus-DNA levels correlate with long-term adverse outcomes in spontaneous hepatitis B e antigen seroconverters.

Authors:  Tai-Chung Tseng; Chun-Jen Liu; Chi-Ling Chen; Chia-Chi Wang; Tung-Hung Su; Stephanie Fang-Tzu Kuo; Pei-Jer Chen; Ding-Shinn Chen; Jia-Horng Kao
Journal:  J Infect Dis       Date:  2011-11-17       Impact factor: 5.226

Review 7.  Hepatitis B virus genotypes and hepatocellular carcinoma in Taiwan.

Authors:  Jia-Horng Kao
Journal:  Intervirology       Date:  2003       Impact factor: 1.763

Review 8.  Diagnosis of hepatitis B virus infection through serological and virological markers.

Authors:  Jia-Horng Kao
Journal:  Expert Rev Gastroenterol Hepatol       Date:  2008-08       Impact factor: 3.869

Review 9.  Global control of hepatitis B virus infection.

Authors:  Jia-Horng Kao; Ding-Shinn Chen
Journal:  Lancet Infect Dis       Date:  2002-07       Impact factor: 25.071

10.  Hepatitis B virus genotypes and spontaneous hepatitis B e antigen seroconversion in Taiwanese hepatitis B carriers.

Authors:  Jia-Horng Kao; Pei-Jer Chen; Ming-Yang Lai; Ding-Shinn Chen
Journal:  J Med Virol       Date:  2004-03       Impact factor: 2.327

View more
  8 in total

1.  Role of serum hepatitis B virus marker quantitation to differentiate natural history phases of HBV infection.

Authors:  Li Wang; Zhi-Qiang Zou; Kai Wang; Ji-Guang Yu; Xiang-Zhong Liu
Journal:  Hepatol Int       Date:  2015-10-01       Impact factor: 6.047

2.  Development of Risk Prediction Model for Hepatocellular Carcinoma Progression of Indeterminate Nodules in Hepatitis B Virus-Related Cirrhotic Liver.

Authors:  Hyo Jung Cho; Bohyun Kim; Jung-Dong Lee; Dae Ryong Kang; Jai Keun Kim; Jei Hee Lee; Sung Jae Shin; Kee Myung Lee; Byung Moo Yoo; Kwang Jae Lee; Soon Sun Kim; Jae Youn Cheong; Sung Won Cho
Journal:  Am J Gastroenterol       Date:  2016-10-25       Impact factor: 10.864

3.  Association of Remnant Liver Ischemia With Early Recurrence and Poor Survival After Liver Resection in Patients With Hepatocellular Carcinoma.

Authors:  Jai Young Cho; Ho-Seong Han; YoungRok Choi; Yoo-Seok Yoon; Sungho Kim; Jang Kyu Choi; Jae Seong Jang; Seong Uk Kwon; Haeryoung Kim
Journal:  JAMA Surg       Date:  2017-04-01       Impact factor: 14.766

Review 4.  Current status of laparoscopic liver resection for hepatocellular carcinoma.

Authors:  Hanisah Guro; Jai Young Cho; Ho-Seong Han; Yoo-Seok Yoon; YoungRok Choi; Mohan Periyasamy
Journal:  Clin Mol Hepatol       Date:  2016-06-15

5.  Health care workers in Pearl River Delta Area of China are not vaccinated adequately against hepatitis B: a retrospective cohort study.

Authors:  Yu-Bao Zheng; Yu-Rong Gu; Min Zhang; Ke Wang; Zhan-Lian Huang; Chao-Shuang Lin; Zhi-Liang Gao
Journal:  BMC Infect Dis       Date:  2015-11-22       Impact factor: 3.090

6.  Transient Elastography is Superior to FIB-4 in Assessing the Risk of Hepatocellular Carcinoma in Patients With Chronic Hepatitis B.

Authors:  Seung Up Kim; Beom Kyung Kim; Jun Yong Park; Do Young Kim; Sang Hoon Ahn; Kijun Song; Kwang-Hyub Han
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

7.  Disease-specific miR-34a as diagnostic marker of non-alcoholic steatohepatitis in a Chinese population.

Authors:  Xiao-Lin Liu; Qin Pan; Rui-Nan Zhang; Feng Shen; Shi-Yan Yan; Chao Sun; Zheng-Jie Xu; Yuan-Wen Chen; Jian-Gao Fan
Journal:  World J Gastroenterol       Date:  2016-11-28       Impact factor: 5.742

8.  Diagnostic Dilemma for Low Viremia with Significant Fibrosis; is Hepatitis B Virus DNA Threshold Level a Good Indicator for Predicting Liver Damage?

Authors:  Ercan Yenilmez; Rıza Aytaç Çetinkaya; Ersin Tural
Journal:  Balkan Med J       Date:  2018-05-04       Impact factor: 2.021

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.