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. 2014 Aug 21;2(6):927–934. doi: 10.3892/mco.2014.398

Time trends of clinical characteristics in hepatocellular carcinoma patients with chronic hepatitis B virus infection: A field survey between 2000 and 2012

KEISUKE AMANO 1,2, TAKUMI KAWAGUCHI 1,3,✉, RYOKO KUROMATSU 1, ATSUSHI KAWAGUCHI 4, ICHIRO MIYAJIMA 1,2, TATSUYA IDE 1,2, TATSUYUKI KAKUMA 5, MICHIO SATA 1,2,3
PMCID: PMC4179821  PMID: 25279176

Abstract

The hepatitis B virus (HBV) carrier rate has decreased in Japan; however, the incidence of HBV infection among hepatocellular carcinoma (HCC) patients has not decreased accordingly. In this study, we aimed to assess the time trends of the clinical characteristics in HCC patients with chronic HBV infection. Between 2000 and 2012, we enrolled a total of 156 HCC patients with chronic HBV infection in our field survey. The HCC risk was evaluated using the HCC prediction score, which is constructed from the characteristics of age, presence of liver cirrhosis and serum levels of albumin, bilirubin and HBV DNA. Lifestyle factors and the presence of diabetes mellitus were also evaluated. The time trends of patient characteristics were analyzed using the Jonckheere-Terpstra proportion trend test. Among HCC patients with chronic HBV infection, the proportion of patients at high risk according to the HCC prediction score significantly decreased during the study period (P=0.0005). Similarly, the proportion of patients with liver cirrhosis, ≤3.5 g/dl serum albumin level, >4 log copies/ml serum HBV DNA level and ≥60 g/day alcohol intake were also significantly decreased. The proportion of male and obese patients was not significantly altered, whereas the proportion of elderly (≥65 years) and diabetic patients tended to increase during the study period (P=0.0654 and P=0.0528, respectively). In this study, we analyzed the time trends of the clinical characteristics in HCC patients with chronic HBV infection and demonstrated that aging and diabetes mellitus may be involved in the hepatocarcinogenesis in patients with chronic HBV infection.

Keywords: chronic hepatitis B, liver cancer, time trend, aging, glucose metabolism disorder

Introduction

Hepatitis B virus (HBV) infection is a major cause of hepatocellular carcinoma (HCC) worldwide (1). In Japan, hepatitis B (HB) immunoglobulin and HB vaccination have been used since 1986 to prevent maternal-fetal transmission of HBV. As a result, the incidence of HB surface antigen (HBsAg) positivity among blood donors had decreased to 0.04% by 2006, indicating the effectiveness of this program of vertical HBV transmission prevention (2). In addition, the first-generation nucleot(s)ide analogues were approved in 2000 and their long-term administration reduced the risk of HCC in patients with chronic HBV infection (3,4). Thus, a reduction in the number of HCC patients with chronic HBV infection is to be expected. However, ~16% of HCC patients are HBsAg-positive and the prevalence of HCC among patients with chronic HBV infection has not decreased in Japan since 1996 (5).

Several factors are associated with the development of HCC in patients with chronic HBV infection. Hepatic inflammation and fibrosis are well-documented risk factors (6). In addition, elevated serum HBV DNA level, HBV genotype C and a high serum HBsAg level are risk factors for HCC (7,8). Using a combination of these risk factors, several HCC prediction scores have been developed for HBV carriers (9,10). The HCC prediction score reported by Wong et al (9) is a simple scoring system that uses parameters such as age, serum albumin level, serum bilirubin level, HBV DNA level and presence of liver cirrhosis, all of which are available in routine clinical practice and for field surveys.

Besides hepatic and viral factors, there are several other risk factors for the development of HCC. Lifestyle factors, such as alcohol intake and smoking, were shown to increase the risk for HCC (11). Obesity and type 2 diabetes mellitus with insulin resistance are also considered as risk factors (12,13). The percentage of patients diagnosed with obesity- or type 2 diabetes mellitus-associated HCC has been increasing annually in Japan (5,14). Moreover, elderly patients are at higher risk for developing HCC, even after being stratified by stage of hepatic fibrosis (15). Aging is a social issue in Japan and is becoming one of the major risk factors for HCC (15). Although all the abovementioned risk factors are considered to be independently associated with the onset of HCC, the time trends for these risk factors remain unclear in HCC patients with chronic HBV infection.

The aim of this study was to assess the time trends of clinical characteristics in HCC patients with chronic HBV infection.

Subjects and methods

Study design and subjects

We performed a field survey to assess the time trends of clinical characteristics in HCC patients with chronic HBV infection who visited Kurume University School of Medicine. The inclusion criteria included presence of HCC, HBsAg positivity and hepatitis C virus (HCV) antibody negativity. Patients with autoimmune hepatitis, primary biliary cirrhosis or hemochromatosis were excluded.

For evaluating the time trends for the annual number of HCC patients with HBV infection, we enrolled a total of 264 patients between 1991 and 2012. In Japan, nucleot(s)ide analogues were approved in 2000 and their use has markedly improved the natural course of patients with chronic hepatitis B. Therefore, the time trends of clinical characteristics were evaluated using 156 HCC patients with chronic HBV infection between 2000 and 2012.

Clinical characteristics and lifestyle

Data on clinical characteristics and lifestyle factors, including age, gender, alcohol intake and cumulative cigarette consumption, were collected at the time of the first medical examination. Body mass index (BMI) was calculated as body weight in kilograms divided by the square of height in meters (kg/m2). The cumulative cigarette consumption was estimated using the Brinkman index (number of cigarettes smoked/day × years of smoking) (16).

Biochemical examinations

Venous blood samples were collected in the morning after a 12-h overnight fast. The following biochemical examinations were then performed, using standard clinical methods as previously described (17): blood platelet count, white blood cell count, prothrombin time, plasma glucose levels, hemoglobin A1c (HbA1c) levels and serum levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), albumin, total bilirubin, insulin, α-fetoprotein (AFP) and des-γ-carboxy prothrombin (DCP).

Diagnosis of HCC

The diagnosis of HCC was based on the criteria of the clinical practice manual proposed by the Japan Society of Hepatology (JSH) (18) using serum AFP and DCP levels and imaging techniques including ultrasonography, computed tomography, magnetic resonance imaging, hepatic angiography and/or tumor biopsy.

Staging and treatment of HCC

The Milan criteria (single nodule ≤5 cm or 3 nodules <3 cm) were used for HCC staging (14). The treatment of HCC was categorized as follows: i) local treatment such as hepatic resection, percutaneous ethanol injection therapy and radiofrequency ablation; ii) transcatheter arterial chemoembolization; iii) hepatic arterial infusion chemotherapy; iv) best supportive care; and v) liver transplantation.

HCC surveillance

The JSH proposed the Consensus-Based Clinical Practice Guidelines for the Management of HCC in Japan (18). These guidelines recommend assessing serum tumor marker levels and conducting imaging examinations, including ultrasonography, at intervals of 3–6 months, according to the HCC risk.

The patients were classified into the following 3 HCC surveillance categories: i) patients with no HCC surveillance; ii) irregular surveillance (patients under HCC surveillance with either serum tumor marker levels or imaging examination, or at longer intervals than recommended); and iii) regular surveillance (patients under HCC surveillance according to the guidelines).

Measurement of HBsAg, anti-HCV antibodies and HBV DNA

Serum HBsAg and anti-HCV antibody levels were measured using standard clinical methods (Department of Clinical Laboratory Medicine, Kurume University Hospital, Kurume, Fukuoka, Japan) (19). The serum HBV DNA levels were measured using the COBAS TaqMan® HBV Auto v2.0 kit (Roche Diagnostics, Tokyo, Japan), which has a lower detection limit of 2.1 log copies/ml.

Diagnosis of liver cirrhosis

Hepatic fibrosis was evaluated using the AST-to-platelet ratio index (APRI), as follows: serum AST level (U/l)/upper limit of normal AST level (33 U/l) × 100/platelet count (x104/ml) (20). Patients with APRI values >1.5 were diagnosed with liver cirrhosis, as previously described (20).

Clinical scoring system for the prediction of HCC in chronic HBV carriers

We employed the HCC prediction score reported by Wong et al (9). This score is constructed from the following 5 parameters: age (>50 years, +3 points); serum albumin level (≤3.5 g/dl, +20 points); serum bilirubin level (>1.05 mg/dl, +1.5 points); serum HBV DNA level (4–6 log copies/ml, +1 point, >6 log copies/ml, +4 points); and liver cirrhosis (present, +15 points) (9). According to the total score, the patients were classified as having low (<5), medium (5–19), or high risk (>19), as previously described (9).

Diagnosis of diabetes mellitus

Diabetes mellitus was diagnosed if the fasting blood glucose levels were >126 mg/dl or the HbA1c levels were >6.9%, according to the Diagnostic Criteria for Diabetes Mellitus (21), or by the documented use of antidiabetic agents.

Statistical analysis

The alterations in the annual number of HCC patients with chronic HBV infection were statistically evaluated using regression analysis and the time trends of the patient characteristics were analyzed by the Jonckheere-Terpstra proportion trend test. The quoted P-values are two-sided and P<0.05 was considered to indicate a statistically significant difference. All the analyses were performed using SAS software, version 9.3 (SAS Institute Inc., Cary, NC, USA).

Results

Number of patients

The annual number of HCC patients with chronic HBV infection in the years between 1991 and 2012 is shown in Fig. 1. There was no significant decrease in the annual number of patients during the study period (P=0.9921; 95% confidence interval, −0.23677 to 0.23451).

Figure 1.

Figure 1

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Time trends for the annual number of hepatocellular carcinoma patients with hepatitis B surface antigen positivity. The alterations in the number of patients were statistically evaluated by regression analysis. P<0.05 was considered to indicate a statistically significant difference.

HCC prediction score

The proportion of patients with high and medium risk, according to the HCC prediction score, was significantly decreased, while the proportion of low-risk patients increased significantly during the study period (P=0.0005) (Fig. 2A).

Figure 2.

Figure 2

Figure 2

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Time trends for the proportion of (A) patients at high risk according to the hepatocellular carcinoma prediction score, (B) patients aged >50 years, (C) patients with serum albumin levels ≤3.5 g/dl, (D) patients with serum bilirubin levels >1.05 mg/dl, (E) patients with serum hepatitis B virus (HBV) DNA level >4 log copies/ml and (F) patients with liver cirrhosis. The time trends of patient characteristics were analyzed by the Jonckheere-Terpstra proportion trend test. P<0.05 was considered to indicate a statistically significant difference.

The HCC prediction score is constructed using parameters such as age, serum albumin level, serum bilirubin level, serum HBV DNA level and presence of liver cirrhosis. Although the proportion of patients who were older than the threshold for increased risk (>50 years) did not significantly change (P=0.1612) (Fig. 2B), the proportion of patients with serum albumin levels below the threshold for increased risk (≤3.5 g/dl) was significantly decreased (P=0.0142) (Fig. 2C). The proportions of patients with elevated serum bilirubin levels (>1.05 mg/dl) did not significantly change (P=0.2433) (Fig. 2D); however, the proportion of those with elevated HBV DNA levels (>4 log copies/ml) and those with liver cirrhosis was significantly decreased during the study period (P=0.0072) (Fig. 2E) and (P=0.0001) (Fig. 2F).

Age and gender

The proportion of elderly patients (≥65 years) exhibited a tendency to increase during the study period (P=0.0654) (Fig. 3A), whereas no significant change was observed in the proportion of male patients (P=0.3497) (Fig. 3B).

Figure 3.

Figure 3

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Time trends for the proportion of (A) elderly and (B) male patients. The time trends of patient characteristics were analyzed by the Jonckheere-Terpstra proportion trend test. P<0.05 was considered to indicate a statistically significant difference.

Alcohol intake and cumulative cigarette consumption

The proportion of patients with a habitual alcohol intake of ≥60 g/day significantly decreased during the study period (P=0.0408) (Fig. 4A). By contrast, no significant change was observed in the proportion of patients with a high Brinkmann index (>400; P=0.2095) (Fig. 4B).

Figure 4.

Figure 4

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Time trends for the proportion of (A) patients with an alcohol intake ≥60 g/day and (B) patients with a Brinkman index ≥400. The time trends of patient characteristics were analyzed by the Jonckheere-Terpstra proportion trend test. P<0.05 was considered to indicate a statistically significant difference.

Obesity and diabetes mellitus

No significant change was observed in the proportion of obese patients (BMI ≥25 kg/m2) during the study period (P=0.5387) (Fig. 5A). However, the proportion of patients with diabetes mellitus exhibited a tendency to increase (P=0.0528) (Fig. 5B).

Figure 5.

Figure 5

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Time trends for the proportion of (A) patients with a body mass index (BMI) ≥25 kg/m2 and (B) patients with diabetes mellitus. The time trends of patient characteristics were analyzed by the Jonckheere-Terpstra proportion trend test. P<0.05 was considered to indicate a statistically significant difference.

Stage, treatment and surveillance of HCC

A significant increase was observed in the proportion of HCC patients who met the Milan criteria during the study period (P=0.0212) (Fig. 6A). A significant increase was also observed in the proportion of patients receiving local treatment during the study period (P=0.0488) (Fig. 6B). The proportion of patients who were followed up with regular surveillance also increased significantly during the study period (P=0.0283) (Fig. 6C).

Figure 6.

Figure 6

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Time trends for the proportion of (A) patients who met the Milan criteria, (B) patients treated with local therapy and (C) patients who received regular follow-up surveillance. The time trends of patient characteristics were analyzed by the Jonckheere-Terpstra proportion trend test. P<0.05 was considered to indicate a statistically significant difference. TACE, transcatheter arterial chemoembolization; HCC, hepatocellular carcinoma.

Discussion

In this study, we demonstrated that the annual number of HCC patients with chronic HBV infection did not significantly decrease, although the patient characteristics were significantly altered between 2000 and 2012 in Japan. The proportion of HCC patients in the high-risk group of the HCC prediction score was significantly decreased, whereas the proportion of elderly patients and patients with diabetes mellitus exhibited a tendency to increase. We also demonstrated that the proportion of HCC patients who met the Milan criteria and those who received local treatment increased significantly during the study period.

We observed that the annual number of HCC patients with chronic HBV infection did not decrease between 1991 and 2012. We had previously reported that the incidence of HBsAg positivity among HCC patients did not change in a Japanese cohort study conducted between 1996 and 2008 (5). The HCC prediction score classifies the risk of HCC in HBV carriers as low, medium and high risk (9). We demonstrated that the proportion of patients at high risk for HCC was significantly decreased during the study period. The estimation of the HCC prediction score is based on age, serum albumin level, serum bilirubin level, HBV DNA level and the presence of liver cirrhosis. We observed significant decreases for each factor, except for age and serum bilirubin level, in the proportion of patients who met the criteria for increased HCC risk. Thus, liver function is currently better preserved and HBV DNA levels are more efficiently controlled in HCC patients with chronic HBV infection. Taken together, these data suggest that, besides HBV-related viral and hepatic factors, other risk factors may play significant roles in HCC patients with chronic HBV infection.

Aging, gender and lifestyle are involved in the development of HCC. In this study, the proportion of male patients and of patients with a high Brinkman index was unchanged during the study period and the proportion of habitual drinkers was decreased. By contrast, the proportion of elderly patients exhibited a tendency to increase during the study period. It was recently established that elderly patients with HCV are at higher risk for HCC and that eradication of HCV exerts a less significant preventive effect on hepatocarcinogenesis in elderly patients (15). Moreover, hepatocyte aging, as assessed by relative nuclear size, was found to be associated with hepatocarcinogenesis in patients with non-HBV non-HCV non-alcoholic chronic liver injury (22). Although the mechanisms underlying age-related hepatocarcinogenesis have not been fully elucidated, aging is associated with telomere shortening, which in turn results in chromosomal instability and the inactivation of cell cycle checkpoints (23,24). In addition, aging is known to enhance DNA hypermethylation of tumor suppressor genes, which is associated with the onset of HCC (25). Thus, our findings, along with those of previous clinical and basic research, suggest that aging may be an significant factor in HCC patients with chronic HBV infection.

The proportion of patients with diabetes mellitus exhibited a tendency to increase during the study period. However, Chen et al (26) reported that diabetes mellitus was not found to be a risk factor for HCC in an HBV- and HCV-endemic area of Southern Taiwan. The reasons for the discrepancy between our findings and theirs remain unclear; however, it should be noted that diabetes mellitus was defined only by the presence of a fasting blood glucose level >126 mg/dl in the study by Chen et al (26). Since fasting blood glucose levels are lower in patients with chronic liver disease, owing to the depletion of hepatic glycogen stores, it is possible that the number of patients with diabetes mellitus was underestimated in the study of Chen et al (26). In HBV carriers, diabetes mellitus was reported to be an independent risk factor for HCC by large-scale prospective studies (27,28). Moreover, HCC was shown to be a major cause of death among patients with diabetes mellitus in Japan (29). Furthermore, a characteristic of diabetic patients with chronic liver disease is hyperinsulinemia (30,31). Insulin is known to bind both insulin and insulin-like growth factor-1 (IGF-1) receptors and to activate cell mitogenic and growth pathways (13,32). Insulin also binds to IGF-binding protein, leading to an increase in the serum levels of IGF-1 (13,32). Thus, diabetes mellitus with hyperinsulinemia is considered to accelerate hepatocarcinogenesis.

We also demonstrated that the proportion of HCC patients who met the Milan criteria and of those who received local treatment increased significantly during the study period. Although this study was not intended to determine the cause for the increase in early detection rates of HCC and treatment with local therapy, the sensitivity and accuracy of DCP and lens culinaris agglutinin-reactive fraction of AFP diagnostic systems have been improved (33). The diagnostic ability of magnetic resonance imaging for HCC has significantly improved through the use of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (34). Hepatic fibrosis and liver function have also improved after the introduction of nucleot(s)ide analogues (35,36). Radiofrequency ablation therapy has supplanted ethanol injection therapy and has allowed for the treatment of HCCs of greater dimensions (37). In addition, the proportion of patients who were followed up with regular surveillance increased significantly during the study period. Surveillance is an important factor for the early detection of HCC (38,39). Taken together, these facts suggest that the increase in the rate of early detection and the treatment with local therapy is likely due to the recent advances in HCC diagnostic and treatment methodologies, as well as the improvements in the management of HBV-infected patients.

In conclusion, we demonstrated that there were significant alterations in the clinical characteristics of HCC patients with chronic HBV infection between 2000 and 2012. The proportion of HCC patients with conventional risk factors, such as liver cirrhosis and high serum HBV DNA levels, decreased significantly. By contrast, the proportion of elderly patients and patients with diabetes mellitus exhibited a tendency to increase. Moreover, we demonstrated that the proportion of HCC patients who met the Milan criteria and of those who underwent local treatment increased significantly during the study period. This field survey provides important information that may be used when developing strategies for improving the outcome of HCC patients with chronic HBV infection in the era of nucleot(s)ide analogue therapy.

Acknowledgements

This study was supported, in part, by a Grant-in-Aid for Scientific Research (C) (no. 21590865 to M.S.) from the Ministry of Education, Culture, Sports, Science and Technology of Japan and by Health and Labour Sciences Research Grants for Research on Hepatitis from the Ministry of Health, Labour and Welfare of Japan (H24-Hepatitis-General-007).

Abbreviations

HBV

hepatitis B virus

HCC

hepatocellular carcinoma

HB

hepatitis B

HBsAg

HB surface antigen

BMI

body mass index

WBC

white blood cell

AST

aspartate aminotransferase

ALT

alanine aminotransferase

AFP

α-fetoprotein

DCP

des-γ-carboxy prothrombin

APRI

AST-to-platelet ratio index

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