Literature DB >> 32241083

Comparison of the efficacy and safety of direct-acting antiviral therapy with or without hepatitis C-related hepatocellular carcinoma.

Byung Soo Kwan1, Jeong Han Kim1,2, Seong Jun Park1, Won Hyeok Choe1, So Young Kwon1, Byung-Chul Yoo1.   

Abstract

BACKGROUND/AIMS: Chronic hepatitis C (CHC) treatment has dramatically improved since direct-acting antiviral (DAA) therapy was introduced. However, the use of DAA therapy in CHC patients with hepatocellular carcinoma (HCC) remains controversial. We investigated the DAA treatment response in CHC patients with HCC.
METHODS: We retrospectively analyzed CHC patients treated with DAA from 2016 to 2018. Patients were divided into two groups based on their HCC-history before DAA therapy. Baseline characteristics, sustained virologic response at 12 weeks (SVR 12), and HCC recurrence after DAA therapy were evaluated. We also used propensity score matching (PSM) in a 2:1 ratio to reduce confounding variables.
RESULTS: A total of 192 patients were enrolled; 78.1% were treatment-naïve, and 34.9% had liver cirrhosis (LC). Among these patients, 168 did not have HCC, and 24 had HCC. The HCC group was older (57.0 years vs. 72.0 years, p < 0.001), had a higher incidence of LC (26.2% vs. 95.8%, p < 0.001), fibrosis-4 index (2.6 vs. 9.2, p < 0.001), liver stiffness measurement (7.0 kPa vs. 17.4 kPa, p = 0.012), and α-fetoprotein (4.4 ng/mL vs. 8.2 ng/mL, p ≤ 0.001). The SVR 12 rate was 97.0% in the non- HCC group and 91.7% in the HCC group (p = 0.213). HCC recurrence was observed in 14 patients (58.3%) in the HCC group.
CONCLUSION: DAA treatment efficacy in CHC patients with or those without HCC were not significantly different, and HCC recurrence was relatively common.

Entities:  

Keywords:  Chronic hepatitis C; Direct-actingzzm321990 antiviral; Hepatitis C virus; Hepatocellular carcinoma

Mesh:

Substances:

Year:  2020        PMID: 32241083      PMCID: PMC7969069          DOI: 10.3904/kjim.2019.297

Source DB:  PubMed          Journal:  Korean J Intern Med        ISSN: 1226-3303            Impact factor:   2.884


INTRODUCTION

Hepatitis C virus (HCV) infection is a major cause of chronic liver disease worldwide. In addition, chronic hepatitis C (CHC) is associated with liver cirrhosis (LC) and hepatocellular carcinoma (HCC) [1]. Globally, HCC is the fifth most common cancer, and death from HCC ranks second among cancer-related deaths [2]. Therefore, patients with hepatitis C are recommended HCV treatment to prevent LC and further HCC progression. In the past, the primary HCV treatment was interferon (IFN) therapy, which had poor efficacy and several limitations. In particular, this therapeutic strategy could be used to treat only a subset of patients due to IFN contraindications, such as advanced LC. As direct-acting antiviral (DAA) therapy has become more common, treatment efficacy has increased dramatically, and even patients who were difficult to treat in the past can now be successfully treated [3-5]. However, the use of DAA therapy in CHC patients with HCC is still controversial [6]. Previously, a study using data from the National Veterans Affairs health care system in the United States indicated that the treatment response rate of CHC patients with HCC was lower than that of CHC patients without HCC, but the reported response rate in that study may differ from the actual treatment response rate in Korea. In particular, the enrolled patients in that study had type 1 and type 3 genotypes, while patients in Korea predominantly have type 1 and 2 genotypes [7,8]. Another important issue related to the use of DAA therapy for hepatitis C patients with HCC is HCC occurrence and recurrence. Two previous retrospective studies have hypothesized that DAA therapy may be associated with HCC occurrence and recurrence [9,10]. Although other studies have raised objections to these studies, the benefits of using DAA as a treatment strategy for CHC patients with HCC remain unclear [11-13]. Therefore, we investigated patient responses to DAA therapy and its safety in CHC patients with or without HCC, as well as the HCC recurrence and HCC occurrence after DAA treatment.

METHODS

Study design and setting

In this single-center retrospective cohort study, data on patients who were diagnosed with CHC and started DAA therapy between January 1, 2016, and December 31, 2018, at Konkuk University Medical Center were collected. All enrolled patients were observed for at least 6 months after DAA therapy up to July 31, 2019. To evaluate the DAA treatment response in CHC patients with or without HCC, patients were divided into two groups: those with HCV-related HCC who achieved that radiologically no viable portion of HCC before DAA therapy and those without HCC before DAA therapy. The patients with no viable portion of HCC, confirmed radiologically, were examined using computed tomography with contrast agent or magnetic resonance imaging with gadoxetic acid (Gd-EOB-DTPA) after treatment to evaluate features such as surgical resection, local ablative therapy, and transarterial chemoembolization. Sustained virologic response at 12 weeks (SVR 12) was defined as undetectable hepatitis C virus ribonucleic acid (HCV-RNA) levels after DAA therapy at 12 weeks. We compared the SVR 12 rate between these two groups. For subgroup analysis, the HCC group was divided into the HCC recurrence group after DAA therapy and the HCC recurrence-free group. These groups were compared for the associated recurrence risk factor investigation. To analyze HCC occurrence after DAA therapy, patients without HCC before DAA therapy were divided based on HCC occurrence versus HCC-free status after DAA therapy. These groups were compared for related occurrence factor investigations. The exclusion criteria included patients who were not followed up, those not tested for HCV-RNA at 12 weeks and those who did not complete DAA therapy. This study was approved by the Institutional Review Board of Konkuk University Medical Center (KUH 2019-07-26). Written informed consent by the patients was waived due to a retrospective nature of our study.

Data collection

We collected patient demographics and clinical variables using electronic medical records, including age, sex, body mass index (BMI), DAA regimen, IFN treatment experience, α-fetoprotein (AFP) level, Protein Induced by Vitamin K Absence or Antagonist-II (PIVKA II), serum HCV-RNA level, HCV genotype, Child-Turcotte-Pugh (CTP) score, Model for End-stage Liver Disease (MELD) score, and history of comorbidities. Alcohol drinking was judged to be more than 30 g daily for men and 20 g daily for women. The presence of LC was determined by clinical judgment and imaging studies. Additionally, the liver stiffness measurement (LSM) and fibrosis-4 index (FIB-4) were investigated to further examine the presence of LC. LSM was performed using transient elastography. The FIB-4 index was calculated as follows. FIB-4 index: age (years) × AST (U/L) / [platelet (109/L) × alanine aminotransferase1/2 (U/L)] The HCC-related staging systems referenced in this work were the widely recommended Barcelona Clinic Liver Cancer (BCLC) staging [14,15] and modified Union for International Cancer Control (mUICC) staging [15].

Statistical analysis

We used descriptive statistics to describe the baseline demographics of the patients. To reduce the confounding variables, we used propensity score matching (PSM) in a 2:1 ratio to match patients who have HCV-related HCC and non-HCV-related HCC. The PSM was performed including age, sex, and LC. PSM variables such as LC and age were selected due to their association with HCC. The analyzed data were expressed as medians (Q1, Q3) for continuous variables and numbers with percentages for categorical variables. To compare the two groups, we analyzed using Pearson’s chi-square test or Fisher’s exact test for categorical variables and Mann-Whitney U test for continuous variables. Associated factors of HCC recurrence or occurrence were analyzed using a Firth logistic regression model. Multivariate analysis was performed with variables having a p < 0.05 in univariate analysis. All p < 0.05 were considered statistically significant. All statistical analyzes were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA).

RESULTS

Characteristics of patients with or without HCC before DAA therapy

Data from a total of 310 patients were collected, and the data from 192 patients were subsequently analyzed after exclusion based on the exclusion criteria (Fig. 1). A total of 54.2% of the patients were female. The HCV genotype of 55.7% of patients was type 1b, that of 42.2% of patients was type 2a, and that of 2.1% of patients was type 2 genotypes, but the subtype could not be specified. Patients who previously received IFN treatment comprised 21.9% and those with LC comprised 34.9% of the analyzed patients. The median follow-up duration of these patients was 704.0 days (IQR, 452.5 to 888.0). The baseline clinical characteristics according to the study group are summarized in Table 1.
Figure 1.

Flow chart of the patient selection process. CHC, chronic hepatitis C; DAA, direct-acting antiviral; SVR 12, sustained virologic response at 12 weeks; HCC, hepatocellular carcinoma.

Table 1.

Baseline clinical characteristics of patients with or without HCC before DAA treatment

VariableTotal (n = 192)Without HCC (n = 168)With HCC (n = 24)p value
Age, yr59.0 (52.0–67.0)57.0 (51.0–64.0)72.0 (66.5–75.5)< 0.001
Female sex104 (54.2)95 (56.5)9 (37.5)0.125
BMI, kg/m²23.6 (21.6–26.0)23.4 (21.1–25.5)24.6 (22.8–28.2)0.084
HCV-RNA, IU/mL1,510,000.0 (289,000.0–4,580,000.0)1,575,000.0 (307,500.0–5,135,000.0)2,841,716.7 (166,800.0–3,855,000.0)0.612
Genotype0.351
 1107 (55.7)91 (54.2)16 (66.7)
 285 (44.3)77 (45.8)8 (33.3)
DAA for genotype 10.001
 DCV + ASV57 (29.7)53 (31.6)4 (16.7)
 EBR + GZR22 (11.5)19 (11.3)3 (12.5)
 OBV/PTV/r + DSV13 (6.8)11 (6.5)2 (8.3)
 SOF + LDV10 (5.2)7 (4.2)3 (12.5)
 SOF + LDV + RBV5 (2.6)1 (0.6)4 (16.7)
DAA for genotype 20.018
 SOF + DCV1 (0.5)01 (4.2)
 SOF + LDV + RBV2 (1.0)2 (1.2)0
 SOF + RBV80 (41.7)73 (43.5)7 (29.2)
 GLE + PIB2 (1.0)2 (1.2)0
SVR 12185 (96.4)163 (97.0)22 (91.7)0.213
Prior IFN experienced42 (21.9)33 (19.6)9 (37.5)0.086
Liver cirrhosis67 (34.9)44 (26.2)23 (95.8)< 0.001
LSM, kPa[a]7.4 (4.4–12.6)7.0 (4.4–11.5)17.4 (14.0–48.0)0.012
FIB-43.0 (1.8–4.7)2.6 (1.6–4.1)9.2 (4.7–11.4)< 0.001
 > 3.2585 (44.7)62 (37.3)23 (95.8)< 0.001
CTP score0.064
 A163 (84.9)143 (94.7)20 (83.3)
 B12 (6.3)8 (5.3)4 (16.7)
MELD score0.182
 < 9123 (73.7)110 (75.9)13 (59.1)
 10–1940 (24.0)32 (22.1)8 (36.4)
 20–294 (2.4)3 (2.1)1 (4.6)
AFP, ng/mL4.9 (3.0–9.2)4.4 (2.8–8.6)8.2 (6.2–31.1)< 0.001
Alcohol41 (21.4)37 (22.0)4 (16.7)0.739
Side effect68 (35.4)60 (35.7)8 (33.3)1.000

Values are presented as median (interquartile range) or number (%).

HCC, hepatocellular carcinoma; DAA, direct-acting antiviral; BMI, body mass index; HCV-RNA, hepatitis C virus ribonucleic acid; DCV, daclatasuvir; ASV, asunaprevir; EBR, elbasvir; GZR, grazoprevir; OBV, ombitasvir; PTV, paritaprevir; r, ritonavir; DSV, dasabuvir; SOF, sofosbuvir; LDV, ledipasvir; RBV, ribavirin; GLE, glecaprevir; PIB, pibrentasvir; SVR 12, sustained viral response at 12 weeks; IFN, interferon; LSM, liver stiffness measurement; FIB-4, fibrosis-4; CTP, Child-Turcotte-Pugh; MELD, model for End-stage Liver Disease; AFP, α-fetoprotein.

A total of 90 patients checked LSM, 86 in the without HCC group and 4 in the with HCC group.

Among the 192 patients, 168 and 24 patients were divided into groups based on their HCC-history before DAA therapy. Patients with a history of HCC before DAA therapy were more likely to be older (57.0 years vs. 72.0 years, p < 0.001) and had a higher incidence of LC (26.2% vs. 95.8%, p < 0.001), higher LSM (7.0 kPa vs. 17.4 kPa, p = 0.012), higher FIB-4 (2.6 vs. 9.2, p < 0.001), and higher AFP (4.4 ng/mL vs. 8.2 ng/mL, p < 0.001). In addition, the DAA regimens used in HCV genotypes 1 and 2 were different between the two groups. In genotype 1, daclatasuvir (DCV) + asunaprevir (ASV) (31.6%) was the most common in the non-HCC group, and sofosbuvir (SOF) + ledipasvir (LDV) + ribavirin (RBV) (16.7%) and DCV + ASV (16.7%) were the most common in the HCC group (p = 0.001). In genotype 2, SOF + RBV was the most common in both groups and was more commonly used in the non-HCC group (43.5% vs. 29.2%, p = 0.018). The SVR 12 rate was 97.0% in the non-HCC-history group and 91.7% in the HCC-history group. There was no significant difference between the two groups (p = 0.213) (Fig. 2).
Figure 2.

Sustained virologic response at 12 weeks (SVR 12) rates of all patients and matched patients after direct-acting antiviral (DAA) therapy. (A) Among the 192 patients, SVR 12 was achieved in 185 (96.4%). The SVR 12 rate was 97.0% in the without hepatocellular carcinoma (HCC)-history group and 91.7% in the HCC-history group (p = 0.213). (B) Among the 72 matched patients, the SVR 12 rate was 90.3%. The SVR 12 rate was 89.6% in the without HCC-history group and 91.7% in the HCC-history group (p = 1.000).

The PSM results for the baseline characteristics are presented in Table 2. As a result of 2:1 matching, 48 and 24 patients were divided into two groups based on their HCC-history before DAA therapy. Patients with HCC before DAA therapy had a higher incidence of LC (37.5% vs. 95.8%, p < 0.001), higher FIB-4 (3.9 vs. 9.2, p < 0.001), and higher AFP (4.6 ng/mL vs. 8.2 ng/mL, p < 0.001). DAA regimens used in HCV genotype 1 were different between the two groups. DCV + ASV (33.3%) was the most common regimen in the non-HCC group, whereas SOF + LDV + RBV (16.7%) and DCV + ASV (16.7%) were the most common in the HCC group (p = 0.025). In the HCC group, 46 patients (63.9%) were genotype 1 and had a higher incidence of LC (40.0% vs. 93.8%, p = 0.001) (Supplementary Table 1); 26 patients (36.1%) were genotype 2 and had a higher incidence of LC (33.3% vs. 100%, p = 0.002) (Supplementary Table 2) and a relatively higher model for end-stage liver disease with incorporation of serum sodium (MELD-NA) score (p = 0.026) (Supplementary Table 2). The SVR 12 rate was 89.6% in the non-HCC group and 91.7% in the HCC group, though there was no significant difference between the two groups (p = 1.000) (Fig. 2).
Table 2.

Propensity score matching results of baseline clinical characteristics

VariableTotal (n = 72)Without HCC (n = 48)With HCC (n = 24)p value
Age, yr71.0 (63.0–76.5)70.8 (63.0–77.5)71.0 (66.5–75.5)0.886
Female sex24 (33.3)15 (31.3)9 (37.5)0.596
BMI, kg/m²24.1 (22.4–26.0)23.6 (22.0–25.4)25.1 (22.7–28.3)0.142
HCV-RNA, IU/mL980,000.0 (96,800.0–4,400,000.0)3,367,365.0 (92,200.0–5,180,000.0)2,841,716.7 (166,800.0–3,855,000.0)0.693
Genotype0.729
 146 (63.9)30 (62.5)16 (66.7)
 226 (36.1)18 (37.5)8 (33.3)
DAA for genotype 10.025
 DCV + ASV20 (27.8)16 (33.3)4 (16.7)
 EBR + GZR11 (15.3)8 (16.7)3 (12.5)
 OBV/PTV/r + DSV6 (8.3)4 (8.3)2 (8.3)
 SOF + LDV5 (6.9)2 (4.2)3 (12.5)
SOF + LDV + RBV4 (5.6)04 (16.7)
DAA for genotype 20.256
 SOF + DCV1 (1.4)01 (4.2)
 SOF + LDV + RBV1 (1.4)1 (2.1)0
 SOF + RBV24 (33.3)17 (35.4)7 (29.2)
SVR 1265 (90.3)43 (89.6)22 (91.7)1.000
Prior IFN experienced21 (29.2)12 (25.0)9 (37.5)0.271
Liver cirrhosis41 (56.9)18 (37.5)23 (95.8)< 0.001
LSM, kPa[a]7.7 (5.2–14.0)6.7 (4.4–11.8)17.4 (14.0–48.0)0.024
FIB-44.4 (3.1–10.2)3.9 (2.3–5.3)9.2 (4.7–11.4)< 0.001
 > 3.2552 (73.2)29 (61.7)23 (95.8)0.005
CTP score0.715
 A56 (86.2)36 (87.8)20 (83.3)
 B9 (13.8)5 (12.2)4 (16.7)
MELD score1.000
 < 938 (61.3)25 (62.5)13 (59.1)
 10–1922 (35.5)14 (35.0)8 (36.4)
 20–292 (3.2)1 (2.5)1 (4.6)
AFP, ng/mL7.1 (3.3–14.0)4.6 (2.8–10.8)8.2 (6.2–31.1)0.012
Alcohol17 (23.6)13 (27.1)4 (16.7)0.492
Side effect23 (31.9)15 (31.3)8 (33.33)0.858

Values are presented as median (interquartile range) or number (%).

HCC, hepatocellular carcinoma; BMI, body mass index; HCV-RNA, hepatitis C virus ribonucleic acid; DAA, direct-acting antiviral; DCV, daclatasuvir; ASV, asunaprevir; EBR, elbasvir; GZR, grazoprevir; OBV, ombitasvir; PTV, paritaprevir; r, ritonavir; DSV, dasabuvir; SOF, sofosbuvir; LDV, ledipasvir; RBV, ribavirin; SVR 12, sustained viral response at 12 weeks; IFN, interferon; LSM, liver stiffness measurement; FIB-4, fibrosis-4; CTP, Child-Turcotte-Pugh; MELD, Model for End-stage Liver Disease; AFP, α-fetoprotein.

A total of 22 patients checked LSM, 18 in the without HCC group and 4 in the with HCC group.

Adverse event of HCC-history patients after DAA therapy

Adverse events of DAA therapy are described in Table 3. Eight patients (33.3%) developed adverse events in the HCC group, of which three patients were genotype 1 and five patients were 2. The most common adverse event in the HCC group was anemia, which was defined as hemoglobin < 10 g/dL or decreased hemoglobin > 2 g/dL from baseline hemoglobin (n = 4, 16.7%). In addition, a tingling sensation (n = 2, 8.3%), insomnia (n = 1, 4.2%), and minor adverse events (n = 1, 4.2%), occurred. There were no severe adverse events in either group that would lead to discontinuation of DAA therapy. Additionally, there was no significant difference in the number of adverse events between the groups regardless of the presence of HCC (35.7% vs. 33.3%, p = 0.176). Similarly, PSM results showed no difference in adverse events between the groups (p = 0.858) (Table 2).
Table 3.

Adverse event of direct-acting antiviral treatment

VariableWithout HCC (n = 168)With HCC (n = 24)p value
Total patients60 (35.7)8 (33.3)0.176
 Genotype 119 (11.3)3 (12.5)
 Genotype 241 (24.4)5 (20.8)
Discontinuation of treatment00
Anemia[a]35 (20.8)4 (16.7)
Dyspepsia5 (3.0)0 (0.0)
Insomnia4 (2.4)1 (4.2)
Fatigue7 (4.2)0
Tingling sensation02 (8.3)
Arrhythmic events2 (1.2)0
Cough1 (0.6)0
Minority events6 (3.6)[a]1 (4.2)[c]

Values are presented as number (%).

HCC, hepatocellular carcinoma.

Hemoglobin < 10 g/dL or decreased hemoglobin > 2 g/dL from baseline.

Dizziness (1), headache (1), skin rash (1), xeroderma (1), edema (1), epistaxis (1).

Edema (1).

Comparison according to HCC recurrence in patients with a history of HCC and associated factors

Fourteen of 24 patients (58.3%) showed cumulative HCC recurrence. The median follow-up duration of the HCC group was 709.5 days (interquartile range [IQR], 539.0 to 815.5), and the total median period after DAA therapy to recurrence was 92.0 days (IQR, 31.0 to 122.0). Specifically, the median period after DAA therapy to recurrence was 92.0 days (IQR, 31.0 to 103.0) in the curative treated HCC group and 101.0 days (IQR, 88.0 to 483.0) in the palliative treated HCC group, and no significant difference was found between the two groups (p = 0.422). Patients with HCC-history before DAA therapy were divided according to the presence of HCC recurrence. A higher number of patients in the HCC recurrence group had a previous experience with IFN treatment (0% vs. 64.3%, p = 0.002) than in the non-recurrence group (Table 4). In the multivariable logistic regression analysis, a statistically significant factor was found for previous IFN treatment (odds ratio [OR], 36.26; 95% confidence interval [CI], 1.51 to 872.74; p = 0.027) (Table 5).
Table 4.

Comparison of HCC recurrence in HCC-history patients

VariableNo recurrence (n = 10)Recurrence (n = 14)p value
Age, yr69.0 (63.0–73.0)73.5 (71.0–78.0)0.069
Female sex5 (50.0)4 (28.6)0.403
BMI, kg/m²23.4 (21.6–24.2)26.3 (23.7–28.3)0.069
HCV-RNA, IU/mL1,031,000.0 (568,000.0–8,230,000.0)1,827,500.0 (93,600.0–3,560,000.0)0.837
Genotype1.000
 17 (70.0)9 (64.3)
 23 (30.0)5 (35.7)
DAA for genotype 10.126
 DCV + ASV04 (44.4)
 EBR + GZR3 (42.9)0
 OBV/PTV/r + DSV1 (14.3)1 (11.1)
 SOF + LDV1 (14.3)2 (22.2)
 SOF + LDV + RBV2 (28.6)2 (22.2)
DAA for genotype 20.783
 SOF + DCV1 (33.3)0
 SOF + RBV2 (66.7)5 (100.0)
SVR 1210 (100.0)12 (85.7)0.493
Prior IFN experienced09 (64.3)0.002
Liver cirrhosis9 (90.0)14 (100.0)0.417
FIB-44.8 (4.5–9.1)10.8 (6.7–15.1)0.064
 > 3.2510 (100.0)13 (92.9)1.000
CTP score1.000
 A8 (80.0)12 (85.7)
 B2 (20.0)2 (14.3)
MELD-NA score0.814
 < 97 (70.0)6 (50.0)
 10–193 (30.0)5 (41.7)
 20–2901 (8.3)
AFP before DAA9.9 (6.2–24.3)7.7 (5.7–37.9)0.305
PIVKA II before DAA14.8 (11.0–22.8)18.0 (13.0–19.5)0.926
HCC treatment0.780
 Curative[a]5 (50.0)5 (35.7)
 Palliative[b]5 (50.0)9 (64.3)
BCLC stage0.629
 0 state3 (30.0)5 (35.7)
 A stage7 (70.0)8 (57.1)
 B stage01 (7.1)
mUICC stage0.773
 1 stage3 (30.0)5 (35.7)
 2 stage5 (50.0)5 (35.7)
 3 stage2 (20.0)4 (28.6)
Maximum tumor size, cm2.2 (1.4–2.5)2.0 (1.4–2.4)0.769
HCC nodules0.678
 18 (80.0)10 (71.4)
 22 (20.0)3 (21.4)
 301 (7.1)
From last HCC treatment to DAA treatment, day188.5 (54.0–619.0)214.0 (70.0–645.0)0.883

Values are presented as median (interquartile range) or number (%).

HCC, hepatocellular carcinoma; BMI, body mass index; HCV-RNA, hepatitis C virus ribonucleic acid; DAA, direct-acting antiviral; DCV, daclatasuvir; ASV, asunaprevir; EBR, elbasvir; GZR, grazoprevir; OBV, ombitasvir; PTV, paritaprevir; r, ritonavir; DSV, dasabuvir; SOF, sofosbuvir; LDV, ledipasvir; RBV, ribavirin; SVR 12, sustained viral response at 12 weeks; IFN, interferon; FIB-4, fibrosis-4; CTP, Child-Turcotte-Pugh; MELD-NA, model for end-stage liver disease with incorporation of serum sodium; AFP, α-fetoprotein; PIVKA II, Protein Induced by Vitamin K Absence or Antagonist-II; BCLC, Barcelona Clinic Liver Cancer; mUICC, modified Union for International Cancer Control.

Liver transplantation or Surgical resection or Local ablation or transarterial chomoembolization plus local ablation.

Transarterial chemoembolization.

Table 5.

Univariable and multivariable logistic regression analysis of HCC recurrence and HCC occurrence

VariableRecurrence
Occurrence
Univariate
Multivariate
Univariate
Multivariate
OR (95% CI)p valueOR (95% CI)p valueOR (95% CI)p valueOR (95% CI)p value
Age, yr1.13 (0.98–1.30)0.0851.10 (1.01–1.19)0.0211.12 (1.02–1.23)0.021
Sex, male vs. female2.50 (0.46–13.65)0.2905.45 (0.60–49.83)0.133
BMI1.48 (0.97–2.27)0.0671.34 (1.00–1.80)0.0491.34 (0.99–1.82)0.057
HCV-RNA1.00 (1.00–1.00)0.2101.00 (1.00–1.00)0.192
Genotype, 2 vs. 11.30 (0.23–7.38)0.7700.78 (0.13–4.81)0.791
SVR 124.20 (0.09–190.18)0.46135.56 (4.26–297.10)0.0018.12 (0.55–120.84)0.128
Prior IFN experienced36.26 (1.51–872.74)0.02736.26 (1.51–872.74)0.0270.35 (0.02–6.84)0.492
Liver cirrhosis4.65 (0.05–471.65)0.5154.46 (0.72–27.65)0.108
FIB-41.19 (0.97–1.46)0.1001.09 (0.96–1.25)0.199
AFP before DAA0.99 (0.98–1.01)0.3641.02 (1.00–1.04)0.019
CTP score A vs. B1.50 (0.17–12.94)0.7120.55 (0.02–13.03)0.710
HCC treatment, Curative[a] vs. palliative[b]0.57 (0.11–2.90)0.486
MELD-NA score
 10–19 vs. < 91.81 (0.30–10.87)0.9831.46 (0.20–10.57)0.773
 20–29 vs. < 93.49 (0.03–369.44)0.6874.39 (0.12–158.16)0.478
BCLC stage
 Stage A vs. 00.72 (0.13–4.13)0.621
 Stage B vs. 01.91 (0.02–220.36)0.730
mUICC stage
 Stage 2 vs. 10.60 (0.10–3.99)0.478
 Stage 3 vs. 11.20 (0.13–11.05)0.659
Maximum tumor size1.38 (0.53–3.56)0.509
No. of HCC nodules
 2 vs. 11.13 (0.15–8.46)0.826
 3 vs. 12.48 (0.02–257.21)0.722

HCC, hepatocellular carcinoma; OR, odds ratio; CI, confidence interval; BMI, body mass index; HCV-RNA, hepatitis C virus ribonucleic acid; SVR 12, sustained viral response at 12 weeks; IFN, interferon; FIB-4, fibrosis-4; AFP, α-fetoprotein; DAA, direct-acting antiviral; CTP, Child-Turcotte-Pugh; MELD-NA, model for end-stage liver disease with incorporation of serum sodium; BCLC, Barcelona Clinic Liver Cancer; mUICC, modified Union for International Cancer Control.

Liver transplantation or surgical resection or local ablation or transarterial chomoembolization plus local ablation.

Transarterial chomoembolization.

Comparison of HCC occurrence in patients without a history of HCC and associated factors

Five patients were found to have HCC after DAA therapy (3.0%). The time for the median follow-up duration of the non-HCC group was 699.0 days (IQR, 427.5 to 898.5), and the median period after DAA therapy to occurrence was 110.0 days (IQR, 98.0 to 217.0). The HCC occurrence group was relatively older (57.0 years vs. 64.0 years, p = 0.015) and had a higher BMI (23.3 kg/m² vs. 25.9 kg/m², p = 0.027), higher FIB-4 levels (2.5 vs. 5.9, p = 0.009), and higher AFP (4.3 ng/mL vs. 22.9 ng/mL, p = 0.002) than the non-occurrence group. Moreover, the SVR 12 rate of the HCC occurrence group was lower than that the non- HCC occurrence group (98.2% vs. 60.0%, p = 0.007), and the proportion of LC in the HCC occurrence group was relatively high (26.0% vs. 60.0%, p = 0.113) (Table 6). Of the 44 patients with LC, three had HCC, and two of 119 without LC had HCC (6.8% vs. 1.6%, p = 0.219).
Table 6.

Comparison of HCC occurrence in without HCC-history patients

VariableRow data
Propensity score matching
No occurrence (n = 163)Occurrence (n = 5)p valueNo occurrence (n = 43)Occurrence (n = 5)p value
Age, yr57.0 (51.0–64.0)64.0 (63.0–79.0)0.01571.0 (63.0–77.0)64.0 (63.0–79.0)0.879
Female sex94 (57.7)1 (20.0)0.16814 (32.6)1 (20.0)0.949
BMI23.3 (21.1–25.5)25.9 (25.4–28.8)0.02723.4 (21.9–24.9)25.9 (25.4–28.8)0.009
HCV-RNA1,680,000.0 (322,500.0–5,255,000.0)608,000.0 (18,500.0–915,000.0)0.062968,000.0 (138,500.0–5,575,000.0)608,000.0 (18,500.0–915,000.0)0.265
Genotype1.0001.000
188 (54.0)3 (60.0)27 (62.8)3 (60.0)
275 (46.0)2 (40.0)16 (37.2)2 (40.0)
DAA for genotype 10.8490.676
DCV + ASV52 (59.1)1 (33.3)15 (55.6)1 (33.3)
EBR + GZR18 (20.5)1 (33.3)7 (25.9)1 (33.3)
OBV/PTV/r + DSV10 (11.4)1 (33.3)3 (11.1)1 (33.3)
SOF + LDV7 (7.9)02 (7.4)0
SOF + LDV + RBV1 (1.1)000
DAA for genotype 20.9451.000
SOF + LDV + RBV2 (2.7)01 (6,2)0
SOF + RBV71 (94.7)2 (100.0)15 (93.8)2 (100.0)
GLE + PIB2 (2.7)000
SVR 12160 (98.2)3 (60.0)0.00740 (93.0)3 (60.0)0.130
Prior IFN experienced33 (26.0)00.58412 (27.9)00.413
Liver cirrhosis41 (26.0)3 (60.0)0.11315 (34.9)3 (60.0)0.542
FIB-42.5 (1.6–3.9)5.9 (4.1–6.9)0.0093.7 (2.1–4.7)5.9 (4.1–6.9)0.094
> 3.2557 (35.4)5 (100.0)0.01324 (57.1)5 (100.0)0.169
CTP score1.0001.000
A139 (94.6)4 (100.0)32 (86.5)4 (100.0)
B8 (5.4)05 (13.5)0
MELD-NA score1.0000.840
< 9120 (73.6)3 (75.0)22 (61.1)3 (75.0)
10–1939 (23.9)1 (25.0)13 (36.1)1 (25.0)
20–294 (2.5)01 (2.8)0
AFP4.3 (2.8–8.1)22.9 (13.7–28.9)0.0023.8 (2.7–8.6)22.9 (13.7–28.9)0.006

Values are presented as median (interquartile range) or number (%).

HCC, hepatocellular carcinoma; BMI, body mass index; HCV-RNA, hepatitis C virus ribonucleic acid; DAA, direct-acting antiviral; DCV, daclatasuvir; ASV, asunaprevir; EBR, elbasvir; GZR, grazoprevir; OBV, ombitasvir; PTV, paritaprevir; r, ritonavir; DSV, dasabuvir; SOF, sofosbuvir; LDV, ledipasvir; RBV, ribavirin; SVR 12, sustained viral response at 12 weeks; IFN, interferon; FIB-4, fibrosis-4; CTP, Child-Turcotte-Pugh; MELD-NA, model for end-stage liver disease with incorporation of serum sodium; AFP, α-fetoprotein.

PSM results regarding HCC occurrence in without HCC-history patients are presented in Table 6. The HCC occurrence group had a higher BMI (23.4 kg/m² vs. 25.9 kg/m², p = 0.009) and higher AFP (3.8 ng/mL vs. 22.9 ng/mL, p = 0.006). Age was identified in multivariate analysis as a factor associated with HCC occurrence (OR, 1.12; 95% CI, 1.02 to 1.23; p = 0.021) (Table 5).

DISCUSSION

HCV treatment has become commonplace as DAA therapy has improved the cure rate, and it has become possible to treat patients who had difficulties with IFN treatment in the past. The treatment of HCV patients with a history of HCC is also possible because of DAA therapy. Previous studies have shown that there are several reasons why CHC patients with a history of HCC should be treated. The treatment of CHC in patients with decompensated LC can improve their LC and improve liver function, which can have positive effects [16]. In addition, referring to the literature written in the interferon era, it has been confirmed that hepatitis C treatment can ultimately reduce HCC recurrence [17-19]. Beste et al. [7] found that CHC patients with a history of HCC had lower SVR 12 rates than those without HCC-history (74.4% vs. 91.1%). However, in our study, these groups showed no significant difference in the SVR 12 rate (overall, 91.7% vs. 97.0%, p = 0.213; PSM, 89.6% vs. 91.7%, p = 1.000). There are several reasons to explain this difference. First, the enrolled patient populations have different demographic characteristics. Our study enrolled Asian patients with genotypes 1b and 2a. However, the previous study included many nonhispanic white patients with genotypes 1 and 3. Second, all patients with cirrhosis in this study showed compensated LC, but in the previous study, 31.5% of the enrolled patients showed decompensated LC. HCC recurrence was observed in 58.3% of patients with HCC. A previous literature review reported HCC recurrence after DAA therapy for CHC with HCC patients, and the cumulative 2-year recurrence rate was 38.9% to 54.5% [20,21]. Compared with these studies, given that the median duration was 704.0 days (IQR, 452.5 to 888.0) in our study, the HCC recurrence rate of our study was similar (58.3% vs. 38.9% to 54.5%). Additionally, the time for the median period after DAA therapy to HCC recurrence was 92.0 days (IQR, 31.0 to 122.0), suggesting that patients who experienced recurrence after DAA therapy were identified in a relatively short period of time. The HCC recurrence-related factor was previous IFN treatment, and multivariable logistic regression analysis of relevant factors showed the same results (OR, 36.26; 95%, 1.51 to 872.74; p = 0.027). A previous study on the associated factors of HCC recurrence showed that SVR 12 rate, time between the last HCC treatment and DAA therapy initiation, noncurative HCC treatment, more than one HCC treatment before DAA therapy, tumor size, LC, and AFP-L3% were relevant factors [15,20,22]. A recent study reported that patients with previous IFN experience have a high risk of de novo HCC, and the same results were found in our study [23]. As a theory supporting this result, it was estimated that this is due to the immunomodulatory and antitumor properties of IFN rather than antiviral activity alone [24]. However, this issue is controversial and should be evaluated by more studies. In our study, the cumulative rate of HCC occurrence after DAA therapy was 3.0% in the non-HCC group during the median follow-up duration (699.0 days [IQR, 427.5 to 898.5]). Previous studies have shown that the incidence of HCC after DAA therapy was 4.9% in all patients for 3 years. In addition, patients with LC had a higher occurrence of HCC than those with non-LC (10.0% vs. 2.9%, p < 0.0001) [11]. When comparing previous studies, patients with LC did not have a statistically higher occurrence of HCC than those without LC (6.8% vs. 1.6%, p = 0.219), and the HCC occurrence rate in our study was similar (3.0% vs. 4.9%) to that in other studies. The PSM results revealed that the HCC occurrence group had a higher BMI and higher AFP than the non-occurrence group. It is well known that the risk of HCC increases with AFP level. BMI is confirmed to be an independent factor in previous studies that have been linked to HCC [25]. The SVR 12 rate was lower in the HCC occurrence group than in the non-HCC group (98.2% vs. 60.0%, p = 0.007). Although the SVR 12 rate was found to be lower in the HCC group, more investigation is needed to determine whether SVR failure is a risk factor for HCC because a relatively small number of patients were enrolled in our study. Additionally, the proportion of cirrhosis in the HCC occurrence of this study is high, but the lack of significant differences between the two groups is probably due to a lack of sufficient numbers (p = 0.113). The limitations of our study are its relatively small sample size and its single-center retrospective cohort study nature. As a limitation of the small sample size, there were fewer patients with HCC, and thus, the comparisons that can be made are limited. In particular, the difference among DAA regimens could not be evaluated. Moreover, the LC and FIB-4 were not corrected by PSM because the LC and above the 3.25 of FIB-4 in the HCC group was 95.8%, which is a very high rate that could not be statistically matched in the non-HCC group (LC, 37.5% vs. 95.8%, p < 0.001; FIB-4 > 3.25, 61.7% vs. 95.8%, p = 0.005). Despite these limitations, this study is the first report from Korea, and any additional information on the association of DAA therapy with HCC is clinically important and meaningful. In conclusion, the SVR 12 rate of DAA therapy among CHC patients with or without HCC was not significantly different; the HCC recurrence rate was 58.3% during the median follow-up duration 709.5 days (IQR, 539.0 to 815.5), and the HCC occurrence rate was 3% during the follow-up of 699.0 days (IQR, 427.5 to 898.5). Although DAA therapy in patients with CHC-related HCC was found to be safe and efficacious, HCC recurrence was relatively common. Therefore, HCC in CHC patients should be considered during treatment decisions, and because of the high risk of recurrence, continuous follow-up is required after treatment. 1. This study evaluated the response and safety of direct-acting antiviral (DAA) therapy in chronic hepatitis C (CHC)-related hepatocellular carcinoma (HCC) patients. 2. The study demonstrated that the sustained virologic response at 12 weeks rate of DAA therapy among CHC patients with or without HCC was not significantly different; the cumulative HCC recurrence rate was 58.3%, and the HCC occurrence rate was 3%. 3. Although DAA therapy in CHC-related HCC patients was found to be safe and efficacious, HCC recurrence was common.
  25 in total

1.  EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma.

Authors: 
Journal:  J Hepatol       Date:  2012-04       Impact factor: 25.083

2.  Effectiveness of hepatitis C antiviral treatment in a USA cohort of veteran patients with hepatocellular carcinoma.

Authors:  Lauren A Beste; Pamela K Green; Kristin Berry; Matthew J Kogut; Stephen K Allison; George N Ioannou
Journal:  J Hepatol       Date:  2017-03-04       Impact factor: 25.083

Review 3.  Epidemiology of viral hepatitis and hepatocellular carcinoma.

Authors:  Hashem B El-Serag
Journal:  Gastroenterology       Date:  2012-05       Impact factor: 22.682

4.  Unexpected high rate of early tumor recurrence in patients with HCV-related HCC undergoing interferon-free therapy.

Authors:  María Reig; Zoe Mariño; Christie Perelló; Mercedes Iñarrairaegui; Andrea Ribeiro; Sabela Lens; Alba Díaz; Ramón Vilana; Anna Darnell; María Varela; Bruno Sangro; José Luis Calleja; Xavier Forns; Jordi Bruix
Journal:  J Hepatol       Date:  2016-04-13       Impact factor: 25.083

5.  Direct-acting antiviral agents do not increase the incidence of hepatocellular carcinoma development: a prospective, multicenter study.

Authors:  Tatsuya Ide; Hironori Koga; Masahito Nakano; Satoru Hashimoto; Hiroshi Yatsuhashi; Nobito Higuchi; Makoto Nakamuta; Satoshi Oeda; Yuichiro Eguchi; Satoshi Shakado; Shotaro Sakisaka; Yoko Yoshimaru; Yutaka Sasaki; Yuichi Honma; Masaru Harada; Masataka Seike; Tatsuji Maeshiro; Satoshi Miuma; Kazuhiko Nakao; Seiichi Mawatari; Akio Ido; Kenji Nagata; Shuichi Matsumoto; Yuko Takami; Tetsuo Sohda; Tatsuyuki Kakuma; Takuji Torimura
Journal:  Hepatol Int       Date:  2019-02-28       Impact factor: 6.047

Review 6.  Recurrence of hepatocellular carcinoma after direct acting antiviral treatment for hepatitis C virus infection: Literature review and risk analysis.

Authors:  Maria Guarino; Luca Viganò; Francesca Romana Ponziani; Edoardo Giovanni Giannini; Quirino Lai; Filomena Morisco
Journal:  Dig Liver Dis       Date:  2018-08-11       Impact factor: 4.088

7.  Ledipasvir and Sofosbuvir Plus Ribavirin for Treatment of HCV Infection in Patients With Advanced Liver Disease.

Authors:  Michael Charlton; Gregory T Everson; Steven L Flamm; Princy Kumar; Charles Landis; Robert S Brown; Michael W Fried; Norah A Terrault; Jacqueline G O'Leary; Hugo E Vargas; Alexander Kuo; Eugene Schiff; Mark S Sulkowski; Richard Gilroy; Kymberly D Watt; Kimberly Brown; Paul Kwo; Surakit Pungpapong; Kevin M Korenblat; Andrew J Muir; Lewis Teperman; Robert J Fontana; Jill Denning; Sarah Arterburn; Hadas Dvory-Sobol; Theo Brandt-Sarif; Phillip S Pang; John G McHutchison; K Rajender Reddy; Nezam Afdhal
Journal:  Gastroenterology       Date:  2015-05-15       Impact factor: 22.682

8.  The development of hepatocellular carcinoma in HCV-infected patients treated with DAA: A comprehensive analysis.

Authors:  Peng Huang; Mei Liu; Feng Zang; Yinan Yao; Ming Yue; Jie Wang; Haozhi Fan; Lingyun Zhuo; Jingjing Wu; Xueshan Xia; Yue Feng; Rongbin Yu
Journal:  Carcinogenesis       Date:  2018-12-31       Impact factor: 4.944

Review 9.  Liver Cancer Emergence Associated with Antiviral Treatment: An Immune Surveillance Failure?

Authors:  María Reig; Loreto Boix; Zoe Mariño; Ferran Torres; Xavier Forns; Jordi Bruix
Journal:  Semin Liver Dis       Date:  2017-04-07       Impact factor: 6.115

Review 10.  Direct-acting antivirals response in hepatocellular carcinoma: Does the presence of hepatocellular carcinoma matter?

Authors:  Chung-Feng Huang; Ming-Lung Yu
Journal:  Clin Mol Hepatol       Date:  2019-02-11
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  1 in total

1.  Direct-acting antivirals trigger a favorable, sustained virological response in patients with chronic hepatitis C infections and hepatocellular carcinoma.

Authors:  Won Sohn
Journal:  Korean J Intern Med       Date:  2021-02-25       Impact factor: 2.884

  1 in total

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