Clinical Utility of a New Automated Hepatitis C Virus Core Antigen Assay for Prediction of Treatment Response in Patients with Chronic Hepatitis C

Mi Na Kim; Hyon-Suk Kim; Ja Kyung Kim; Beom Kyung Kim; Seung Up Kim; Jun Yong Park; Do Young Kim; Sang Hoon Ahn; Kwang-Hyub Han

doi:10.3346/jkms.2016.31.9.1431

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Kim, Kim, Kim, Kim, Kim, Park, Kim, Ahn, and Han: Clinical Utility of a New Automated Hepatitis C Virus Core Antigen Assay for Prediction of Treatment Response in Patients with Chronic Hepatitis C

Original Article

Gastroenterology & Hepatology

Journal of Korean Medical Science 2016; 31(9): 1431-1437.

Published online: 23 June 2016

DOI: https://doi.org/10.3346/jkms.2016.31.9.1431

Clinical Utility of a New Automated Hepatitis C Virus Core Antigen Assay for Prediction of Treatment Response in Patients with Chronic Hepatitis C

Mi Na Kim^1,²

, Hyon-Suk Kim³

, Ja Kyung Kim¹

, Beom Kyung Kim¹

, Seung Up Kim¹

, Jun Yong Park¹

, Do Young Kim¹

, Sang Hoon Ahn¹

, Kwang-Hyub Han¹

¹Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.

²Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea.

³Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea.

Address for Correspondence: Kwang-Hyub Han, MD. Department of Internal Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun–gu, Seoul 03722, Korea. gihankhys@yuhs.ac

Received 14 March 2016 Accepted 3 June 2016

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Hepatitis C virus core antigen (HCV Ag) is a recently developed marker of hepatitis C virus (HCV) infection. We investigated the clinical utility of the new HCV Ag assay for prediction of treatment response in HCV infection. We analyzed serum from 92 patients with HCV infection who had been treated with pegylated interferon and ribavirin. HCV Ag levels were determined at baseline in all enrolled patients and at week 4 in 15 patients. Baseline HCV Ag levels showed good correlations with HCV RNA (r = 0.79, P < 0.001). Mean HCV Ag levels at baseline were significantly lower in patients with a sustained virologic response (SVR) than in those with a non SVR (relapse plus non responder) based on HCV RNA analysis (2.8 log₁₀fmol/L vs. 3.27 log₁₀fmol/L, P = 0.023). Monitoring of the viral kinetics by determination of HCV RNA and HCV Ag levels resulted in similarly shaped curves. Patients with undetectable HCV Ag levels at week 4 had a 92.3% probability of achieving SVR based on HCV RNA assay results. The HCV Ag assay may be used as a supplement for predicting treatment response in HCV infection, but not as an alternative to the HCV RNA assay.

Keywords: Chronic Hepatitis C, HCV RNA, HCV Core Antigen, Treatment Response

INTRODUCTION

Chronic hepatitis C virus (HCV) infection is a major cause of liver cirrhosis and hepatocellular carcinoma (1). The primary goal of therapy for patients with HCV infection is achievement of a sustained virologic response (SVR). Pegylated interferon (PEG-IFN) plus ribavirin has become the standard treatment for chronic hepatitis C (CHC) (2). In Europe and the US, following PEG-IFN plus ribavirin treatment, 40%-50% of patients infected with genotype 1 achieved SVR, and 70%-74% of patients infected with genotype 2 or 3 achieved SVR (3 4). SVR rates were slightly higher in Korean patients: 53.6%-69.5% and > 80% of Korean patients infected with genotype 1 and 2 achieved SVR, respectively (5).

When considering treatment strategies, prediction of the treatment response is important before starting antiviral therapy. Currently, the HCV RNA assay is the recommended tool for predicting treatment response. Several studies have reported that CHC patients with high viral load (> 800,000 IU/mL) have lower probabilities of achieving SVR (6 7 8). Furthermore, it was recently postulated that patients with low baseline viral load and undetectable HCV RNA by week 4 could be expected to have a shorter treatment duration (9 10). However, HCV RNA assays are expensive, time-consuming, and require technical equipment and highly trained personnel. Therefore, a less expensive and faster assay for predicting treatment response is needed, particularly in low-resource settings.

Recently, less expensive and time-consuming assays for detecting HCV core antigen (HCV Ag) have become available. The HCV core protein is a 21-kDa structural phosphoprotein of the HCV capsid and comprising the first 191 amino acids of the viral polyprotein, which can be detected and quantified in the serum of infected patients by an enzyme immunoassay technique (11). HCV Ag levels show good correlation with HCV RNA levels; therefore, this appears to be a useful new test for detecting viremia (12 13 14). In this context, an attractive future approach for monitoring response to antiviral therapy may involve HCV viral load monitoring and predicting treatment response by determining HCV Ag levels. However, few studies have investigated the utility of the HCV Ag assay in this perspective. Therefore, the HCV Ag assay cannot be recommended until more data are obtained.

We aimed to evaluate the performance of the HCV Ag assay in predicting treatment response to PEG-IFN and ribavirin by comparing it with established methods for quantification of HCV RNA.

MATERIALS AND METHODS

Patients

Ninety-two patients with CHC treated with PEG-IFN plus ribavirin were enrolled in this study. All patients were over 18 years of age and had elevated serum alanine aminotransferase (ALT) levels, compensated liver disease, and documented chronic HCV infection by serum hepatitis C antibody and HCV RNA testing. The Ethics Committee of the hospital approved the study protocol.

All patients received a regimen of 180 µg PEG-IFN α-2a (Pegasys®, F.Hoffmann-La Roche, Ltd., Basel, Switzerland) or 1.5 µg/kg PEG-IFN α-2b (Pegintron®, Schering-Plough, Kenilworth, NJ, USA) once weekly plus 1,000–1,200 mg ribavirin daily, according to body weight. A 48-week treatment was administered to patients infected with genotype 1, and a 24-week treatment to patients infected with genotype 2. Serum samples were collected from all enrolled patients at baseline and from 15 patients at week 4 of therapy and stored at -80°C.

HCV Ag quantification

HCV Ag quantification was performed using ARCHITECT HCV Ag (Abbott, Wiesbaden, Germany) with an HCV Ag assay kit (Abbott Japan Co., Ltd., Tokyo, Japan). The ARCHITECT HCV Ag assay is a two-step quantitative chemiluminescent microparticle immunoassay run on a fully automated ARCHITECT instrument. The sample volume required was approximately 110 µL, and HCV Ag levels of < 3.0 fmol/L were considered nonreactive in accordance with the manufacturer’s instructions.

HCV RNA quantification

HCV RNA quantification was determined by the Cobas AmpliPrep/Cobas TaqMan HCV assay (CAM/CTM) (Roche Molecular Systems, Inc., Pleasanton, CA, USA). The lower detection limit of CAM/CTM is 15 IU/mL.

Assessment of efficacy

SVR was defined as an undetectable serum HCV RNA level 24 weeks after cessation of treatment, and relapse was defined as an undetectable HCV RNA level at the end of treatment but HCV RNA positive 24 weeks after discontinuation of therapy. No response was defined as a detectable HCV RNA level at the end of treatment. An early virologic response (EVR) was defined as an undetectable HCV RNA level or a decline of at least 2 log from baseline at week 12 of treatment. Treatment was stopped at week 12 in patients with HCV genotype 1 who did not achieve EVR.

Statistical analysis

Descriptive statistics are shown as the mean ± standard deviation or the median range, as appropriate. The correlation between HCV Ag and HCV RNA levels was calculated using Pearson’s correlation coefficient. Differences in the group characteristics were compared by χ² and Fisher’s exact test for categorical variables and two-sided t-test was used for continuous variables. To identify independent predictors of SVR, univariate and subsequent multivariate regression analyses were used. Hazard ratios (HRs) and corresponding 95% CIs were used where indicated.

A difference was considered statistically significant when the P value was < 0.05. Viral quantification results (i.e. HCV RNA and HCV Ag) were converted into a logarithmic (log) scale. Statistical analyses were performed using SPSS software (ver. 18.0; SPSS Inc., Chicago, IL, USA).

Ethics statement

The study design was approved by the institutional review board at Severance Hospital (IRB No. 4-2013-0851). All subjects submitted informed consents before enrollment.

RESULTS

Baseline characteristics

The baseline characteristics of the 92 patients are described in Table 1. At baseline, the log mean HCV RNA level and the mean HCV Ag level was 5.96 IU/mL and 2.94 fmol/L, respectively. HCV Ag was not detected in 1 patient (1.1%) with genotype 2. The HCV RNA level in this patient was 19,900 IU/mL. HCV Ag levels showed good correlation with HCV RNA levels in both genotypes (r = 0.798, P < 0.001 for genotype 1 [Fig. 1A]; r = 0.773, P < 0.001 for genotype 2 [Fig. 1B]).

Table 1

Baseline characteristics of the study population

Parameters	All patients (n = 92)	SVR (n = 64, 69.6%)	Non-SVR (n = 28, 30.4%)	P value^*
Age, yr	51.4 ± 1.2	49.6 ± 13.0	55.6 ± 7.7	0.007
Male	41 (44.6)	28 (43.8)	13 (46.4)	0.824
Cirrhosis, clinically diagnosed	11 (12.0)	2 (3.1)	9 (32.1)	< 0.001
HCV Genotype (1/2)	56/36	34/30	22/6	0.036
HCV RNA, log₁₀IU/mL	5.96 ± 0.07	5.88 ± 0.79	6.13 ± 0.40	0.045
HCV Ag, log₁₀fmol/L	2.94 ± 0.11	2.80 ± 1.14	3.27 ± 0.76	0.023
Serum albumin, g/dL	4.33 ± 0.04	4.36 ± 0.39	4.24 ± 0.35	0.170
Total bilirubin, mg/dL	0.86 ± 0.04	0.81 ± 0.36	0.98 ± 0.39	0.052
Alanine aminotransferase, IU/L	79.5 ± 6.3	78.4 ± 60.2	82.1 ± 62.9	0.787
Platelet count, 10⁹/L	175.0 ± 6.6	187.0 ± 60.8	147.8 ± 62.3	0.007

Values are expressed as median (range) or No. (%).

SVR, sustained virologic response; HCV, hepatitis C virus; HCV Ag, HCV core antigen.

*SVR vs. Non-SVR

Fig. 1

HCV Ag levels show good correlation with HCV RNA levels in both genotypes. r = 0.798, P < 0.001 for genotype 1 (A); r = 0.773, P < 0.001 for genotype 2 (B).

SVR was observed in 64 patients (69.6%), while 19 (20.7%) experienced relapse after the end of therapy. Nine (9.7%) patients with genotype 1 did not show EVR, so they stopped therapy at week 12. Significantly lower baseline HCV RNA levels were observed in patients with SVR (mean log₁₀ 5.88 IU/mL) than is those with non-SVR (mean log₁₀ 6.13 IU/mL) (P = 0.045). Mean baseline HCV Ag levels were significantly lower in patients with SVR versus non-SVR (non-SVR: relapse plus non responder) (2.8 log₁₀ fmol/L for SVR vs. 3.27 log₁₀ fmol/L for non-SVR, P = 0.023) (Fig. 2).

Fig. 2

Baseline HCV levels. (A) RNA levels (log₁₀ IU/mL) in patients with a sustained virologic response (SVR) and non-SVR. The log mean baseline HCV RNA levels are significantly lower in patients with SVR (5.88 IU/mL) than non-SVR (6.13 IU/mL) (P = 0.045). (B) Ag levels (log₁₀ fmol/L) in patients with SVR and non-SVR. The log mean baseline HCV Ag levels are significantly lower in patients with SVR (2.8 fmol/L) than in those with non-SVR (3.27 fmol/L) in logs (P = 0.023).

HCV RNA and HCV Ag levels as predictors of SVR

HCV RNA and HCV Ag levels were entered separately into each multivariate analysis, along with age and cirrhosis, due to the significant correlation between HCV RNA and HCV Ag levels. HCV RNA and HCV Ag levels were both independent predictors of SVR (HCV RNA: P = 0.026; adjusted HR 0.968, 95% CI 0.917-1.023; HCV Ag: P = 0.027, adjusted HR 0.454, 95% CI 0.226-0.914), together with cirrhosis (Table 2).

Table 2

Indepdenent predictors of sustained virologic response

Virologic response parameters	Multivariate^*		Multivariate^†
Virologic response parameters	Hazard ratio (95% CI)	P value	Hazard ratio (95% CI)	P value
Age, yr	0.976 (0.923-1.032)	0.396	0.968 (0.917-1.023)	0.250
Cirrhosis, clinically diagnosed	0.085 (0.013-0.557)	0.010	0.084 (0.012-0.569)	0.011
Total bilirubin, mg/dL	0.323 (0.073-1.440)	0.138	0.331 (0.077-1.426)	0.138
Platelet count, 10⁹/L	1.000 (1.000-1.000)	0.385	1.000 (1.000-1.000)	0.582
HCV RNA, log₁₀IU/mL	0.968 (0.917-1.023)	0.026
HCV Ag, log₁₀fmol/L			0.454 (0.226-0.914)	0.027

CI, confidence interval; HCV, hepatitis C virus; HCV Ag, HCV core antigen.

^*HCV RNA adjusted by age, cirrhosis, total bilirubin and platelet count; ^†HCV Ag adjusted by age, cirrhosis, total bilirubin and platelet count.

Changes of HCV RNA and HCV Ag levels at week 4 of therapy

We investigated early changes of viral load among 15 patients at week 4 of therapy. The characteristics of the 15 patients are shown in Table 3. After 4 weeks of treatment, 9 patients had undetectable HCV RNA and 13 had undetectable HCV Ag. The mean HCV RNA level decreased from 6.05 log₁₀IU/mL to 1.81 log₁₀IU/mL (P < 0.001), and the mean HCV Ag decreased from 3.27 log₁₀ fmol/L to 0.67 log₁₀fmol/L (P < 0.001). Among the four patients who had detectable HCV RNA and a loss of HCV Ag at week 4, three achieved SVR. As illustrated in Fig. 3, monitoring of viral kinetics by determination of either the HCV RNA or the HCV Ag concentration resulted in similarly shaped curves.

Table 3

Predictive value of undetectable HCV RNA and HCV Ag at week 4 of the treatment on sustained virologic response

Assay target	PPV^*	NPV^†
Undetectable HCV RNA	9/9 (100%)	4/6 (66.7%)
Undetectable HCV Ag	12/13 (92.3%)	1/2 (50.0%)

HCV, hepatitis C virus; HCV Ag, HCV core antigen.

^*Positive predictive values (PPVs) correspond to the rate of patients with undetectable HCV Ag or HCV RNA levels and subsequent sustained virologic response; ^†Negative predictive values (NPVs) correspond to the rate of patients without undetectable HCV Ag or HCV RNA levels and subsequent sustained virologic response.

Fig. 3

Kinetics of HCV RNA and HCV Ag levels during the 4-week treatment period. Viral kinetics were monitored by determination of HCV RNA and HCV Ag levels. The similarly shaped curves indicate similar kinetics.

Predictive value of undetectable HCV RNA and HCV Ag at week 4 of treatment on SVR

Table 4 summarizes the positive predictive values (PPVs) and negative predictive values (NPVs) of HCV RNA and HCV Ag testing in terms of the response to combination therapy. As shown in Table 2, 92.3% of patients with undetectable HCV Ag subsequently attained an SVR to therapy, while 50.0% of patients with detectable HCV Ag did not attain an SVR to therapy. According to HCV RNA testing, the PPV was 100% and the NPV 66.7%.

Table 4

Clinical data of 15 patients with available data at 4 weeks after treatment

Patients	Age, yr	Gender	Genotype	HCV RNA at baseline, IU/mL	HCV Ag at baseline, fmol/L	HCV RNA at 4weeks, IU/mL	HCV Ag at 4weeks, fmol/L	Treatment response
Patient 1	34	F	1	22,400,000	17,139.56	49,000	140.16	SVR
Patient 2	43	M	1	11,700,000	14,444.98	Not detectable	Not detectable	SVR
Patient 3	56	F	2	14,800,000	13,998.37	Not detectable	Not detectable	SVR
Patient 4	27	F	1	825,000	1,605.15	718	Not detectable	SVR
Patient 5	40	M	1	18,900,000	14,314.95	193	Not detectable	SVR
Patient 6	45	M	2	34,500	120.95	Not detectable	Not detectable	SVR
Patient 7	41	M	2	181,000	269.02	Not detectable	Not detectable	SVR
Patient 8	69	F	2	3,110,000	321.87	Not detectable	Not detectable	SVR
Patient 9	19	M	2	372,000	2,950.81	Not detectable	Not detectable	SVR
Patient 10	47	F	2	2,190,000	3,096.32	Not detectable	Not detectable	SVR
Patient 11	65	F	2	8,850,000	17,394.41	232	Not detectable	Relapse
Patient 12	55	M	2	318,000	812.54	32.5	Not detectable	SVR
Patient 13	54	M	2	43,900	134.99	Not detectable	Not detectable	SVR
Patient 14	64	M	2	86,300	435.4	Not detectable	Not detectable	SVR
Patient 15	50	F	2	569,000	1,804.14	769	55.83	No response

HCV, hepatitis C virus; HCV Ag, HCV core antigen; SVR, sustained virologic response.

DISCUSSION

HCV Ag assays were introduced over the last decade (15), and in the majority of studies, HCV Ag was detected by enzyme-linked immunosorbent assays or enzyme immunoassays (16 17 18). These quantitative HCV Ag assays became promising alternatives to HCV RNA assays because of their good correlations (12 13). However, their low sensitivity prevented their use in clinical practice.

A fully automated chemiluminescent immunoassay with higher sensitivity was recently developed to overcome the shortcomings of conventional HCV Ag assays (19). This new HCV Ag assay stimulated further studies on the clinical utility of HCV Ag testing (20 21 22). Park et al. (14) showed that HCV Ag assay results were comparable to those of HCV RNA viral load assay. Several studies have demonstrated the utility of antiviral response monitoring using the HCV Ag assay (23 24).

In our study, HCV Ag was detected in 91 of 92 HCV RNA-positive baseline samples, showing high diagnostic sensitivity, consistent with previous reports (20 25). We also confirmed a significant correlation between HCV Ag and HCV RNA levels at baseline, irrespective of HCV genotype, again in concordance with prior reports (14 22). Following treatment, patients with SVR appeared to have lower serum HCV Ag levels prior to treatment (Fig. 2B). Therefore, the association between baseline HCV Ag levels and treatment response is similar to that of HCV RNA levels, in agreement with previous reports.

A rapid virologic response (RVR), typically defined as undetectable HCV RNA at week 4 of treatment with PEG-IFN plus ribavirin, is increasingly being used to identify patients most likely to achieve SVR. Such observations have led to the concept of shortening treatment durations (widely known as response-guided therapy). Among patients infected with HCV genotype 1 and who achieve RVR, approximately 90% achieve SVR after 48 weeks of treatment (26 27). Moreover, shortened treatment regimens are appropriate for some patients with RVR (28). Thus, the estimation of an early treatment response at week 4 is of paramount importance. We aimed to elucidate the utility of HCV Ag levels at week 4 for predicting treatment response and determining treatment duration. Indeed, one finding in our study was that an undetectable HCV Ag level at week 4 had good reliability as a positive predictor of SVR. Our results indicate that the PPVs of HCV Ag and HCV RNA testing at week 4 were similar. The difference in the NPVs was based on a limited number of cases of non SVR; therefore, this finding should be interpreted with caution.

The introduction of direct-acting antiviral drugs (DAA) for CHC patients has radically changed the treatment of chronic HCV infections (29 30 31 32). The highly elevated SVR and end of treatment response rates have challenged the need for regular HCV-RNA efficacy monitoring. Furthermore, in consideration of the high costs of DAAs, less expensive tests to assess on-treatment responses are needed. Recent studies have demonstrated the clinical utility of monitoring HCV Ag in patients with CHC taking DAAs (33 34 35). Aghemo et al. (33) investigated the accuracy of the HCV Ag assay in predicting which patients receiving DAAs would achieve SVR at week 12 (SVR12). The assays for HCV Ag and HCV RNA predicted the patients with SVR12, with positive predictive values of 90% and 83%, respectively, at week 2, and of 89% and 92%, respectively, at week 4. HCV Ag is as useful as HCV RNA in monitoring the treatment efficacy of anti-HCV DAA regimens, however, validation using larger cohorts is warranted.

Our study had some limitations. First, the number of enrolled patients was relatively small. Second, almost all patients who could undergo kinetics evaluation achieved SVR. Due to these limitations, we were unable to compare baseline HCV Ag levels with week 4 HCV Ag levels. Thus, the predictive value of HCV Ag at week 4 should be evaluated in further studies.

A sensitive HCV RNA assay that can detect < 15 IU/mL is the gold standard for determining a virologic response in CHC patients (36). Although the sensitivity of HCV Ag assays has improved, HCV Ag-based treatment response monitoring may need to be based on different algorithms than those currently in use because HCV RNA assays have a lower detection limit than HCV Ag assays. Therefore, the HCV Ag assay is less useful in settings that already use the HCV RNA assay. However, quantification of HCV RNA requires careful handling of specimens and is more expensive and time-consuming compared with the HCV Ag assay, which is based on a simple enzymatic reaction (17). Therefore, the HCV Ag assay can be used frequently for treatment monitoring, particularly in low-resource settings.

Our preliminary results show that HCV Ag levels have excellent correlation to HCV RNA levels. Furthermore, we show that the kinetics of Ag and viremia are similar. However, the HCV Ag assay should be used as a supplement for monitoring antiviral therapy, not as an alternative to the HCV RNA assay. Further studies monitoring HCV Ag levels at different time points will further clarify the clinical utility of this assay.

ACKNOWLEDGMENT

The authors are grateful to the Abbott Diagnostics for providing a part of the HCV Ag assay test kits.

Notes

^Funding This study was supported by a grant of the Korea Healthcare Technology R & D Project, Ministry of Health and Welfare, Republic of Korea (HI10C2020) and partly by funds Yonsei Liver Blood Bank (YLBB). This research was also supported by a grant of the Research Driven Hospital R & D project, funded by the CHA Bundang Medical Center (grant number: BDCHA R & D 2015-25). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

^DISCLOSURE The authors have no potential conflicts of interest to disclose.

^{AUTHOR CONTRIBUTION} Study design: Han KH. Patients enroll and data collection: Han KH, Park JY, Kim DY, Ahn SH. Data analysis: Kim MN, Kim HS, Kim JK, Kim BK, Kim SU. Writing of manuscript: Kim MN. Revision and approval of manuscript: all authors.

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ORCID iDs

Mi Na Kim
https://orcid.org/http://orcid.org/0000-0001-5381-230X

Hyon-Suk Kim
https://orcid.org/http://orcid.org/0000-0001-5662-7740

Ja Kyung Kim
https://orcid.org/http://orcid.org/0000-0001-5025-6846

Beom Kyung Kim
https://orcid.org/http://orcid.org/0000-0002-5363-2496

Seung Up Kim
https://orcid.org/http://orcid.org/0000-0002-9658-8050

Jun Yong Park
https://orcid.org/http://orcid.org/0000-0001-6324-2224

Do Young Kim
https://orcid.org/http://orcid.org/0000-0002-8327-3439

Sang Hoon Ahn
https://orcid.org/http://orcid.org/0000-0002-3629-4624

Kwang-Hyub Han
https://orcid.org/http://orcid.org/0000-0003-3960-6539

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