FIB‑4 index and serum α‑fetoprotein are useful predictors of hepatocellular carcinoma occurrence in hepatitis B patients with nucleos(t)ide analogs therapy
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- Published online on: August 1, 2023 https://doi.org/10.3892/etm.2023.12140
- Article Number: 441
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Copyright: © Kuwano et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Hepatocellular carcinoma (HCC) accounted for 80% of the 826,000 global cases of primary liver cancer and was the third most common cause of cancer mortality in 2018(1). Chronic hepatitis and liver cirrhosis (LC) caused by hepatitis B virus (HBV) and hepatitis C virus are the major preneoplastic conditions of HCC (1).
HBV is a small, partially double-stranded DNA virus that causes acute and chronic hepatitis in humans. HBV is one of the most hazardous viral pathogens for humans, and 2 billion individuals have been infected and >350 million are chronic carriers of the virus (2). Despite the improvement in the management of chronic HBV infection by antiviral therapy and universal vaccine, HCC remains the fourth most common cause of cancer-associated mortalities overall worldwide (3). Patients with untreated HBV infection are at a 5- to 100-fold higher risk for developing HCC compared with healthy individuals (4).
Nucleotide and nucleoside analogues (NAs) function as competitive inhibitors of the HBV reverse transcriptase, as their incorporation into the DNA strand provokes chain termination (5). The NAs lamivudine (LAM), adefovir (ADF), entecavir (ETV), tenofovir disoproxil fumarate (TDF) and tenofovir alafenamide (TAF) result in virological remission in almost all compliant patients with chronic HBV infection and are associated with significant improvement of liver inflammation and fibrosis (6-8). However, while the current antiviral agents decrease HCC risk in patients with HBV (9-11), they do not eliminate the risk of HCC because HBV is not eradicated (12,13). Several groups have developed scores for the prediction of HCC in NA-treated patients (14,15). Liver inflammation and fibrosis caused by alcohol abuse and obesity are established risk factors for HCC (16). However, previous prediction models have not included these factors. A simple and non-invasive test that reflects factors other than HBV is needed to predict carcinogenesis. Previous studies have identified age, sex, fibrosis-4 index (FIB-4 index), serum α-fetoprotein (AFP) level, HBV-DNA level and HBV core promotor mutations as risk factors of HCC occurrence in patients with HBV during NA therapy. However, the early occurrence of HCC during NA therapy in previous studies may have included HCC not detected by imaging before NA therapy (17-21). The present study aimed to identify definite predictors of HCC occurrence by analyzing HCC occurrence ≥1 year following NA treatment.
Materials and methods
Patients
A total of 675 patients with HBV were treated with NA at Aso Iizuka Hospital (Iizuka, Japan) between January 2001 and January 2021. The exclusion criteria were as follows: i) follow-up of <1 year; ii) development of HCC before administration or within 1 year of administration of NA; iii) acute hepatitis and acute-on-chronic hepatitis; iv) de novo HBV; v) prevention of HBV reactivation; vi) co-infection with HCV; and vii) continuation from other hospitals (Fig. 1). Finally, the present study included 260 patients in this study. The present study was conducted in accordance with the guidelines of the Declaration of Helsinki and was approved by the Ethics Committee of Aso Iizuka Hospital (approval no. 21141). Informed consent of individual patients was not obtained because of the retrospective nature of this study.
Serum levels of HBV DNA were quantified by a fully automated system. A quantitative polymerase chain reaction (PCR) assay (Cobas TaqMan HBV Test v2.0; Roche Diagnostics) was used before 2017, according to the manufacturer's instructions. HBV DNA was processed from 650 µl of sample using the cobas AmpliPrep and cobas TaqMan 96 analyzer for automated sample extraction and real-time PCR amplification and detection, according to the manufacturer's instructions. The assay primers and probes target the HBV pre-Core/Core region (preC-C) gene. Another PCR assay (Cobas 6800/8800 system HBV; Roche Diagnostics) was used after 2017, according to the manufacturer's instructions. HBV DNA was extracted, purified, and amplified from 500 µl of samples on the cobas 6800/8800 analyzer system according to the manufacturer's instructions. The viral region targeted by this assay primers and probes is the preC-C gene.
FIB-4 index
The FIB-4 index was used to evaluate fibrosis clinically before and after NA treatment. The FIB-4 index was calculated using the following formula: FIB-4 index=[aspartate aminotransferase (AST, IU/l) x age (years)/platelet count (109/l) x alanine aminotransferase (ALT, IU/l)1/2] (22).
HBV DNA after 6 months often shows negative readings and the FIB-4 index after 6 months reflects other factors such as alcohol abuse and obesity instead of HBV. Therefore, the present study used the value of FIB-4 index at 6 months after NA treatment.
Follow-up definitions
Patients with chronic hepatitis and cirrhosis caused by HBV were treated using NA. Chronic hepatitis B was diagnosed as positive HBsAg for >6 months, elevated ALT ≥31 IU/l and serum HBV DNA ≥3.3 log IU/ml (23). LC was diagnosed on the basis of liver histology or transient elastography or the presence of gastro-esophageal varices. HCC surveillance was performed by blood tests and imaging examinations including ultrasonography, computed tomography and magnetic resonance imaging, each 3-6 months.
Statistical analysis
Results are shown as the median (inter-quartile range). Significant differences between groups were examined by χ2, Fisher's Exact test or Mann-Whitney U-test. Statistical analyses were performed using the Kaplan-Meier method, log-rank test, receiver operating characteristic (ROC) analysis and Cox hazard analysis using JMP statistical software (version 11.0 for Windows; SAS Institute, Inc.). All P-values were derived from two-tailed tests, and P<0.05 was considered to indicate a statistically significant difference. ROC and area under the curve (AUC) values were calculated to define cut-off values for risk factors of HCC occurrence.
Results
Characteristics of patients at the start of NA and cumulative occurrence of HCC
Table I shows the clinical characteristics of the 260 patients with HBV in the present study. The median age of the overall patient group was 53.0 (range, 44.0-61.1) years, and 59.2% of patients were male. Serum HBV-DNA concentration was 6.2 log IU/ml. The numbers of patients that received specific NAs are as follows: LAM (n=77), ETV (n=163), TDF (n=8), and TAF (n=12). The median follow-up duration was 8.18 (4.73-13.07) years, and 40 (15.4%) patients developed HCC during the follow-up period (Fig. 2).
The present study detected significant differences between patients with and without HCC occurrence, including age (P=0.017), sex (P=0.014), type of NA (P<0.01), platelets at start of treatment (SOT) (P<0.01) and 6 months after NA treatment (P<0.01) and FIB-4 index at SOT (P<0.01) and 6 months after NA treatment (P<0.01). There was no significant difference in HBV DNA between the two groups (P=0.669) (Table I).
Differences of HCC occurrence between patients treated with the older and newer NAs
Several studies reported that the new NAs, including ETV, TDF and TAF, reduce HCC risk to a greater extent compared with the old NAs (LAM and ADF) (24,25). It has been reported that LAM-resistant mutations arise in ~23% of patients after 12 months of therapy and in up to 80% after 5 years of treatment, and patients with LAM-resistant mutations have a higher risk of HCC (26). In the present study, drug resistance developed in 41 of 77 patients (53.2%) treated with LAM and the patients with NA resistance had higher incidence of HCC compared with the patients without NAs resistance (P<0.01) (data not shown). In the current study, the rate of HCC occurrence in patients treated with old NAs was higher compared with that of patients treated with new NAs (P<0.01; Table II). HBV DNA (P<0.01), platelets (P<0.01), and FIB-4 index at SOT (P<0.01) were higher in patients treated with old NAs compared with the values in patients treated with new NAs (Table II). Fibrosis in patients treated with old NAs was more advanced compared with that observed in patients treated with the newer NAs (Table II).
Univariate and multivariate analysis for risk factors of HCC
Using the ROC value for HCC occurrence, the cut-off value of FIB-4 index at 6 months after NA treatment was 1.95 (AUC, 0.757; 1-specificity, 0.350; sensitivity, 0.775) (data not shown). From univariate analysis, age, male sex, old NA and FIB-4 index at 6 months were identified as risk factors of HCC. HBV DNA level showed no association. Multivariate analysis showed that age [hazard ratio (HR), 1.31; P=0.0453], male sex (HR, 3.14; P<0.01) and FIB-4 index at 6 months >1.95 (HR, 4.35; P<0.01) were associated with the occurrence of HCC (Table III). Fig. 3 shows the cumulative incidence of HCC based on male sex and FIB-4 index at 6 months. There were significant differences with regard to male sex (P=0.0125) and FIB-4 index at 6 months (P<0.0001).
Multivariate analysis for risk factors of HCC in patients with serum AFP level at 6 months after NA treatment
Additional analysis was performed in the group in which serum AFP level at 6 months after NA treatment was measured. Table IV shows the clinical characteristics of these patients. There were significant differences in sex (P=0.029), content of NA (P<0.01), platelets at SOT (P<0.01) and 6 months after NA treatment (P<0.01) and FIB-4 index at SOT (P<0.01) and 6 months after NA treatment (P<0.01) between patients with and without HCC occurrence. Serum AFP level at SOT (P=0.011) and 6 months after NA treatment (P<0.01) were higher in patients with HCC occurrence compared with those in patients with no HCC. The cut-off value of serum AFP level at 6 months after treatment was 4 ng/ml (AUC, 0.842; 1-specificity, 0.3; sensitivity, 0.905) (data not shown). FIB-4 index at 6 months >1.95 (HR, 8.27; P=0.014) and serum AFP level at 6 months >4 ng/ml (HR, 4.26; P=0.033) were identified as risk factors in multivariate analysis (Table V). Fig. 4 shows Kaplan-Meier analysis of the cumulative HCC occurrence stratified on the basis of cut-off values of serum AFP level at 6 months after treatment (P<0.0001).
Table IVCharacteristics of patients with or without HCC during NA treatment with measured serum AFP levels. |
Table VFactors associated with HCC occurrence during NA treatment with the addition of serum AFP level. |
Discussion
Current antiviral therapies cannot achieve complete eradication of HBV; therefore, these treatments decrease HCC risk but do not eliminate the risk of HCC in patients with chronic HBV infection (12,13,27). Thus, HCC represents the main challenge in the management of patients with HBV, as HCC may occur even under effective long-term antiviral therapy and is the only factor that currently affects liver-related mortality in diagnosed and treated patients with HBV (12).
HCC risk is the highest among untreated chronic patients with HBV with LC (1,28,29). The FIB-4 index has been used as a non-invasive and surrogate marker for advanced hepatic fibrosis (22) and shows high predictive values for the development of HCC risk in patients with chronic HBV infection (30,31). Previous studies have reported FIB-4 index as a risk factor for HCC occurrence in patients with HBV during NA therapy but the early occurrence of HCC during NA therapy in previous studies may have included HCC not detected by imaging before NA therapy (17,18). The present study analyzed HCC occurrence ≥1 year following NA treatment and identified FIB-4 index at 6 months after NA treatment >1.95 as a predictor of HCC occurrence during long-term NA therapy. The follow up duration in the current study was longer compared with previous studies and accurate cut off value of FIB-4 index was obtained.
In the present study, baseline HBV DNA level was not associated with HCC risk, which was consistent with some previous studies (32,33). However, these findings were in contrast to studies assessing HCC risk in untreated patients (34,35). Several studies have demonstrated that the new NAs, including ETV, TDF and TAF, reduce HCC risk to a greater extent compared with older NAs (LAM and ADF) (24,25). In the present study, HCC occurrence in patients treated by old NAs was more frequent compared with that in patients treated by new NAs, and old NAs were one of the contributing factors for HCC occurrence as determined by univariate analysis. This result might be because of the advanced fibrosis in patients treated with old NAs compared with that in patients treated with new NAs. Overall, the present study showed the importance of the new NAs to reduce HCC risk.
The current results identified four factors, sex, age, FIB-4 index at 6 months after NA treatment and serum AFP level at 6 months after NA treatment, that were associated with HCC risk during NA therapy. Older age is a well-known risk factor for HCC (36). Elevated AFP serum level is one of the common risk factors for HCC occurrence in patients with HBV and hepatitis C virus (16,37-39). In the group where serum AFP levels were measured, the present study showed that FIB-4 index >1.95 and serum AFP level >4 ng/ml at 6 months after NA treatment may be useful markers to select patients at higher risk of carcinogenesis. Previous prediction models such as GAG-HCC, CU-HCC and REACH-B (18-21) have identified these factors. The limitations of these studies were that the patients were enrolled regardless of receiving antiviral therapy and the difficulty of diagnosing LC. Only patients receiving antiviral therapy were enrolled in the current study.
The PAGE-B score was recently developed and validated in mostly Caucasian European patients under ETV or TDF therapy. In this score, which includes age, sex and platelet counts, probably reflecting the severity of liver disease, the addition of cirrhosis does not substantially improve the discrimination (14). While PAGE-B is useful, FIB-4 index >1.95 and serum AFP level >4 ng/ml at 6 months after NA treatment are simpler predictors.
The present study has several limitations. The study group was from a single center, which limited the numbers of HCC events during NA. Additionally, the present study did not consider the involvement of HBV core promoter mutations, BMI, alcohol consumption and diabetes due to insufficient information.
In conclusion, FIB-4 index >1.95 and serum AFP level >4 ng/ml at 6 months were predictors for the development of HCC in patients with HBV during NA treatment. Further study of hepatocarcinogenesis during NA is required with a longer follow-up period and larger numbers of participants. Regular careful examinations are required if the FIB-4 index and serum AFP at 6 months after NA treatment are high.
Acknowledgements
The authors would like to thank Mrs. Yukie Ishibashi (Department of Hepatology, Iizuka Hospital, Iizuka, Japan) for assistance with manuscript preparation.
Funding
Funding: No funding was received.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
AK, MM, MY, KT, AM and KM designed the study. AK, MM, KT and YK assisted with data analyses. AK wrote the initial draft of the manuscript. MY and KM contributed to analysis and interpretation of data. MY and KM assisted in the preparation and critical review of the manuscript. AK and MY confirm the authenticity of all the raw data. All authors agreed to be accountable for all aspects of the work. All authors read and approved the final version of the manuscript
Ethics approval and consent to participate
The research was conducted in accordance with the principles of the Declaration of Helsinki. The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki. This study was approved by the ethics committee of Aso Iizuka Hospital (approval no. 21141; Iizuka, Japan). Informed consent of individual patients was not obtained because of the retrospective nature of this study.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Rumgay H, Ferlay J, de Martel C, Georges D, Ibrahim AS, Zheng R, Wei W, Lemmens VEPP and Soerjomataram I: Global, regional and national burden of primary liver cancer by subtype. Eur J Cancer. 161:108–118. 2022.PubMed/NCBI View Article : Google Scholar | |
Trépo C, Chan HL and Lok A: Hepatitis B virus infection. Lancet. 384:2053–2063. 2014.PubMed/NCBI View Article : Google Scholar | |
Global Burden of Disease Cancer Collaboration. Fitzmaurice C, Allen C, Barber RM, Barregard L, Bhutta ZA, Brenner H, Dicker DJ, Chimed-Orchir O, Dandona R, et al: Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to 2015: A systematic analysis for the global burden of disease study. JAMA Oncol. 3:524–548. 2017.PubMed/NCBI View Article : Google Scholar | |
El-Serag HB: Epidemiology of viral hepatitis and hepatocellular carcinoma. Gastroenterology. 142:1264–1273.e1. 2012.PubMed/NCBI View Article : Google Scholar | |
Tong S and Revill P: Overview of hepatitis B viral replication and genetic variability. J Hepatol. 64 (1 Suppl):S4–S16. 2016.PubMed/NCBI View Article : Google Scholar | |
European Association for the Study of the Liver. Electronic address: simpleeasloffice@easloffice.eu; European Association for the Study of the Liver. EASL 2017 clinical practice guidelines on the management of hepatitis B virus infection. J Hepatol. 67:370–398. 2017.PubMed/NCBI View Article : Google Scholar | |
Terrault NA, Lok ASF, McMahon BJ, Chang KM, Hwang JP, Jonas MM, Brown RS Jr, Bzowej NH and Wong JB: Update on prevention, diagnosis, and treatment of chronic hepatitis B: AASLD 2018 hepatitis B guidance. Hepatology. 67:1560–1599. 2018.PubMed/NCBI View Article : Google Scholar | |
Marcellin P, Gane E, Buti M, Afdhal N, Sievert W, Jacobson IM, Washington MK, Germanidis G, Flaherty JF, Aguilar Schall R, et al: Regression of cirrhosis during treatment with tenofovir disoproxil fumarate for chronic hepatitis B: A 5-year open-label follow-up study. Lancet. 381:468–475. 2013.PubMed/NCBI View Article : Google Scholar | |
Hosaka T, Suzuki F, Kobayashi M, Seko Y, Kawamura Y, Sezaki H, Akuta N, Suzuki Y, Saitoh S, Arase Y, et al: Long-term entecavir treatment reduces hepatocellular carcinoma incidence in patients with hepatitis B virus infection. Hepatology. 58:98–107. 2013.PubMed/NCBI View Article : Google Scholar | |
Nguyen MH, Yang HI, Le A, Henry L, Nguyen N, Lee MH, Zhang J, Wong C, Wong C and Trinh H: Reduced Incidence of Hepatocellular Carcinoma in Cirrhotic and Noncirrhotic Patients With Chronic Hepatitis B Treated With Tenofovir-A Propensity Score-Matched Study. J Infect Dis. 219:10–18. 2019.PubMed/NCBI View Article : Google Scholar | |
Kumada T, Toyoda H, Tada T, Kiriyama S, Tanikawa M, Hisanaga Y, Kanamori A, Niinomi T, Yasuda S, Andou Y, et al: Effect of nucleos(t)ide analogue therapy on hepatocarcinogenesis in chronic hepatitis B patients: A propensity score analysis. J Hepatol. 58:427–433. 2013.PubMed/NCBI View Article : Google Scholar | |
Papatheodoridis GV, Chan HL, Hansen BE, Janssen HL and Lampertico P: Risk of hepatocellular carcinoma in chronic hepatitis B: Assessment and modification with current antiviral therapy. J Hepatol. 62:956–967. 2015.PubMed/NCBI View Article : Google Scholar | |
Lampertico P, Maini M and Papatheodoridis G: Optimal management of hepatitis B virus infection-EASL special conference. J Hepatol. 63:1238–1253. 2015.PubMed/NCBI View Article : Google Scholar | |
Papatheodoridis G, Dalekos G, Sypsa V, Yurdaydin C, Buti M, Goulis J, Calleja JL, Chi H, Manolakopoulos S, Mangia G, et al: PAGE-B predicts the risk of developing hepatocellular carcinoma in Caucasians with chronic hepatitis B on 5-year antiviral therapy. J Hepatol. 64:800–806. 2016.PubMed/NCBI View Article : Google Scholar | |
Wong VWS and Janssen HLA: Can we use HCC risk scores to individualize surveillance in chronic hepatitis B infection? J Hepatol. 63:722–732. 2015.PubMed/NCBI View Article : Google Scholar | |
Marrero JA, Fontana RJ, Fu S, Conjeevaram HS, Su GL and Lok AS: Alcohol, tobacco and obesity are synergistic risk factors for hepatocellular carcinoma. J Hepatol. 42:218–224. 2005.PubMed/NCBI View Article : Google Scholar | |
Tada T, Kumada T, Toyoda H, Tsuji K, Hiraoka A and Tanaka J: Impact of FIB-4 index on hepatocellular carcinoma incidence during nucleos(t)ide analogue therapy in patients with chronic hepatitis B: An analysis using time-dependent receiver operating characteristic. J Gastroenterol Hepatol. 32:451–458. 2017.PubMed/NCBI View Article : Google Scholar | |
Tseng TC, Choi J, Nguyen MH, Peng CY, Siakavellas S, Papatheodoridis G, Wang CC, Lim YS, Lai HC, Trinh HN, et al: One-year fibrosis-4 index helps identify minimal HCC risk in non-cirrhotic chronic hepatitis B patients with antiviral treatment. Hepatol Int. 15:105–113. 2021.PubMed/NCBI View Article : Google Scholar | |
Yang HI, Yuen MF, Chan HL, Han KH, Chen PJ, Kim DY, Ahn SH, Chen CJ, Wong VW and Seto WK: REACH-B Working Group. Risk estimation for hepatocellular carcinoma in chronic hepatitis B (REACH-B): Development and validation of a predictive score. Lancet Oncol. 12:568–574. 2011.PubMed/NCBI View Article : Google Scholar | |
Wong VW, Chan SL, Mo F, Chan TC, Loong HH, Wong GL, Lui YY, Chan AT, Sung JJ, Yeo W, et al: Clinical scoring system to predict hepatocellular carcinoma in chronic hepatitis B carriers. J Clin Oncol. 28:1660–1665. 2010.PubMed/NCBI View Article : Google Scholar | |
Yuen MF, Tanaka Y, Fong DY, Fung J, Wong DK, Yuen JC, But DY, Chan AO, Wong BC, Mizokami M and Lai CL: Independent risk factors and predictive score for the development of hepatocellular carcinoma in chronic hepatitis B. J Hepatol. 50:80–88. 2009.PubMed/NCBI View Article : Google Scholar | |
Vallet-Pichard A, Mallet V, Nalpas B, Verkarre V, Nalpas A, Dhalluin-Venier V, Fontaine H and Pol S: FIB-4: An inexpensive and accurate marker of fibrosis in HCV infection. Comparison with liver biopsy and fibrotest. Hepatology. 46:32–36. 2007.PubMed/NCBI View Article : Google Scholar | |
Drafting Committee for Hepatitis Management Guidelines, the Japan Society of Hepatology. Japan society of hepatology guidelines for the management of hepatitis B virus infection: 2019 Update. Hepatol Res. 50:892–923. 2020.PubMed/NCBI View Article : Google Scholar | |
Kobashi H, Miyake Y, Ikeda F, Yasunaka T, Nishino K, Moriya A, Kubota J, Nakamura S, Takaki A, Nouso K, et al: Long-term outcome and hepatocellular carcinoma development in chronic hepatitis B or cirrhosis patients after nucleoside analog treatment with entecavir or lamivudine. Hepatol Res. 41:405–416. 2011.PubMed/NCBI View Article : Google Scholar | |
Köklü S, Tuna Y, Gülşen MT, Demir M, Köksal AŞ, Koçkar MC, Aygün C, Coban S, Ozdil K, Ataseven H, et al: Long-term efficacy and safety of lamivudine, entecavir, and tenofovir for treatment of hepatitis B virus-related cirrhosis. Clin Gastroenterol Hepatol. 11:88–94. 2013.PubMed/NCBI View Article : Google Scholar | |
Tacke F and Kroy DC: Treatment for hepatitis B in patients with drug resistance. Ann Transl Med. 4(334)2016.PubMed/NCBI View Article : Google Scholar | |
Papatheodoridis GV, Lampertico P, Manolakopoulos S and Lok A: Incidence of hepatocellular carcinoma in chronic hepatitis B patients receiving nucleos(t)ide therapy: A systematic review. J Hepatol. 53:348–356. 2010.PubMed/NCBI View Article : Google Scholar | |
Schafer DF and Sorrell MF: Hepatocellular carcinoma. Lancet. 353:1253–1257. 1999.PubMed/NCBI View Article : Google Scholar | |
Okuda K: Hepatocellular carcinoma. J Hepatol. 32 (1 Suppl):S225–S237. 2000.PubMed/NCBI View Article : Google Scholar | |
Kim JH, Kim JW, Seo JW, Choe WH and Kwon SY: Noninvasive tests for fibrosis predict 5-year mortality and hepatocellular carcinoma in patients with chronic hepatitis B. J Clin Gastroenterol. 50:882–888. 2016.PubMed/NCBI View Article : Google Scholar | |
Suh B, Park S, Shin DW, Yun JM, Yang HK, Yu SJ, Shin CI, Kim JS, Ahn E, Lee H, et al: High liver fibrosis index FIB-4 is highly predictive of hepatocellular carcinoma in chronic hepatitis B carriers. Hepatology. 61:1261–1268. 2015.PubMed/NCBI View Article : Google Scholar | |
Cho JY, Paik YH, Sohn W, Cho HC, Gwak GY, Choi MS, Lee JH, Koh KC, Paik SW and Yoo BC: Patients with chronic hepatitis B treated with oral antiviral therapy retain a higher risk for HCC compared with patients with inactive stage disease. Gut. 63:1943–1950. 2014.PubMed/NCBI View Article : Google Scholar | |
Zoutendijk R, Reijnders JG, Zoulim F, Brown A, Mutimer DJ, Deterding K, Hofmann WP, Petersen J, Fasano M, Buti M, et al: Virological response to entecavir is associated with a better clinical outcome in chronic hepatitis B patients with cirrhosis. Gut. 62:760–765. 2013.PubMed/NCBI View Article : Google Scholar | |
Chen CJ, Yang HI, Su J, Jen CL, You SL, Lu SN, Huang GT and Iloeje UH: REVEAL-HBV Study Group. Risk of hepatocellular carcinoma across a biological gradient of serum hepatitis B virus DNA level. JAMA. 295:65–73. 2006.PubMed/NCBI View Article : Google Scholar | |
Chen G, Lin W, Shen F, Iloeje UH, London WT and Evans AA: Past HBV viral load as predictor of mortality and morbidity from HCC and chronic liver disease in a prospective study. Am J Gastroenterol. 101:1797–1803. 2006.PubMed/NCBI View Article : Google Scholar | |
European Association for the Study of the Liver. Electronic address: simpleeasloffice@easloffice.eu; European Association for the Study of the Liver. EASL clinical practice guidelines: Management of hepatocellular carcinoma. J Hepatol. 69:182–236. 2018.PubMed/NCBI View Article : Google Scholar | |
Oze T, Hiramatsu N, Yakushijin T, Miyazaki M, Yamada A, Oshita M, Hagiwara H, Mita E, Ito T, Fukui H, et al: Post-treatment levels of α-fetoprotein predict incidence of hepatocellular carcinoma after interferon therapy. Clin Gastroenterol Hepatol. 12:1186–1195. 2014.PubMed/NCBI View Article : Google Scholar | |
Tada T, Kumada T, Toyoda H, Kiriyama S, Tanikawa M, Hisanaga Y, Kanamori A, Kitabatake S, Yama T and Tanaka J: Post-treatment levels of α-fetoprotein predict long-term hepatocellular carcinoma development after sustained virological response in patients with hepatitis C. Hepatol Res. 47:1021–1031. 2017.PubMed/NCBI View Article : Google Scholar | |
Kuwano A, Yada M, Nagasawa S, Tanaka K, Morita Y, Masumoto A and Motomura K: Serum α-fetoprotein level at treatment completion is a useful predictor of hepatocellular carcinoma occurrence more than one year after hepatitis C virus eradication by direct-acting antiviral treatment. J Viral Hepat. 29:35–42. 2022.PubMed/NCBI View Article : Google Scholar |