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. 2018 Sep 4;13(9):e0202650. doi: 10.1371/journal.pone.0202650

Significant predictors of overall survival in patients with hepatocellular carcinoma after surgical resection

Chih-Wen Lin 1,2,3,4,*, Yaw-Sen Chen 4,5, Chih-Che Lin 6, Po-Huang Lee 4,5, Gin-Ho Lo 2,4, Chia-Chang Hsu 3, Pei-Min Hsieh 5, Kah Wee Koh 2,3, Ming-Jong Bair 7, Chia-Yen Dai 8, Jee-Fu Huang 8, Wan-Long Chuang 8, Yao-Li Chen 10, Ming-Lung Yu 8,9,11
Editor: William B Coleman12
PMCID: PMC6122804  PMID: 30180193

Abstract

Background

The predictive factors of overall survival after hepatectomy for HCC remain controversial and need to be investigated.

Methods

In total, 535 consecutive HCC patients undergoing resection were included and their clinicopathological data and overall survival were recorded. Both the tumor and adjacent non-tumor (ANT) tissues were subjected to immunohistochemistry analysis for the expression of autophagy-related markers.

Results

Death was observed for 219 patients, and the cumulative overall survival rates at 1, 3, 5 and 7 years were 91.0%, 72.3%, 58.8%, and 27.7%, respectively. In the multivariate analysis, mortality was significantly associated with the following: diminished LC3 expression in both the tumor and ANT tissues, in the HCC tissues alone and in the ANT tissues alone (hazard ratio/95% confidence interval: 6.74/2.052–22.19, 6.70/1.321–33.98 and 2.58/1.499–4.915, respectively); recurrent HCC (5.11/3.136–8.342); HBV infection (2.75/1.574–4.784); cirrhosis (1.78/1.059–2.974); and antiviral therapy (0.42/0.250–0.697). The 5-year overall survival rates were 70.2%, 57.3%, 49.6% and 10.7% for patients with positive LC3 expression in both tissue types, in the HCC tissues alone, in the ANT tissues alone, and in neither tissue type, respectively. The 5-year overall survival rates were 56.7%, 47.3%, 51.2% and 38.7% for patients with HBV-related HCC, cirrhosis, no antiviral therapy, and recurrent HCC, respectively, and these rates were significantly lower than those in their counterparts.

Conclusions

Patients with recurrent HCC, HBV-related HCC, cirrhosis, and the absence of antiviral therapy showed significantly lower overall survival rates. Furthermore, LC3 expression in both the tumor and liver microenvironments were significantly predictive of overall survival after resection for HCC.

Introduction

Hepatocellular carcinoma (HCC) is ranked the fifth most common type of cancer and the third leading cause of cancer-related mortality worldwide [13]. HCC occurrence is geographically distributed, with the majority of cases observed in the Asia-Pacific region [4]. In Taiwan, HCC is the second leading cause of cancer-related death [5]. With advancements in early HCC detection techniques, peri-operative management, and surgical procedures, liver resection has become the treatment of choice for patients with operable HCC [69]. However, the 5-year recurrence and survival rates after resection for HCC, which are 60% and 50%, respectively, remain unsatisfactory [10, 11]. The detection of HCC during its early stage of development is a crucial factor that affects the prognosis of HCC patients [12]. Hence, the evaluation of predictive factors of overall survival after surgical resection is of clinical relevance and may serve as a promising strategy to improve the postoperative prognoses of HCC patients.

Different predictive factors associated with the prognosis of HCC have been identified and these factors are mostly liver- and tumor-related factors [13, 14]. The etiology of HCC and the severity of cirrhosis are also associated with overall survival in HCC patients [1517]. The use of postoperative antiviral therapies for viral hepatitis B (HBV)- and hepatitis C (HCV)-related HCC reportedly reduce HCC recurrence and enhance overall survival [1820]. Different combinations of genes associated with cell proliferation and the tumor microenvironment are also employed as genomic prognostic markers for HCC [21, 22]. The use of these factors to screen and identify patients with a poor postoperative prognosis of HCC may enable more stringent surveillance to prolong their life expectancy. However, the predictive factors for overall survival of HCC patients remain controversial.

Autophagy is a process through which lysosomes are utilized to degrade and recycle damaged organelles for nutrient reuse and energy generation [23]. Autophagy is involved in the physiology and pathogenesis of human liver diseases, including cancer [24, 25]. To date, the role of mammalian autophagy-related markers, namely, Beclin-1 and LC3, as prognostic factors of postoperative HCC has been reported, but the data are conflicting [2629]. Partial hepatectomy in mice induces autophagy, and such induction is crucial for liver growth, liver regeneration, and survival [30]. In one of our studies, HCC patients with LC3 expression in both the tumor and non-tumor liver microenvironments were significantly protected against post-hepatectomy HCC recurrence [31]. In another study, the accumulation of p62 in the liver microenvironment was significantly correlated with accelerated post-hepatectomy recurrence and reduced disease-free survival [32]. These suggest that autophagy in the liver microenvironment is involved in hepatocarcinogenesis. In addition to regulating the physiological and biological behavior of an organ, normal cellular and non-cellular microenvironmental components are also involved in determining the fates of neighboring tumor cells [33]. The relationship between autophagy in the liver microenvironment and overall survival remains unknown and needs further study. Hence, this study aimed to identify the prognostic factors associated with overall survival in patients who received curative resection for HCC.

Patients and methods

Patients and follow-up

A total of 535 consecutive, histologically confirmed HCC patients who underwent curative surgical resection between 2010 and 2014 at E-Da Hospital, Kaohsiung, Taiwan (n = 318) and Changhua Christian Hospital, Changhua, Taiwan (n = 217) were included in this retrospective study. All patients had regular follow-ups every three months after hepatectomy. The follow-up period was defined as the time from the date of the operation to the date of either death or the last follow-up, and the last follow-up was in December 2016. Overall survival was defined as the time from the date of the operation to the date of death or the last follow-up. The patients were divided into those who survived (n = 316) and those who died (n = 219) during the follow-up period after the first hepatectomy. Patients with recurrent HCC were identified based on histological confirmation or at least one typical HCC imaging method according to the recommendations of the American Association for the Study of Liver Disease (AASLD) [34].

The clinicopathological parameters of the patients, including basic demographic data, HCC etiologies, liver function, Child–Pugh score and tumor characteristics, were recorded. The CLIP score includes Child‐Pugh stage, tumor morphology and extension, serum AFP levels, and portal vein thrombosis. Among the 535 patients, 123 (23%) patients had received liver resection consisting of either 3–4 segmentectomy (11.8%) or > 4 segmentectomy (11.2%) and 412 (77.0%) patients had received minor liver resection (≤ 2 segmentectomy). The definite of cirrhosis is the fibrotic stage 4 of non-tumor part from the resection liver by histology and non-cirrhosis is the fibrotic stage 0–3. The resected HCC tumor tissues, together with the paired adjacent non-tumor (ANT) tissues, which were 0.5–5 cm from the negative operative margin, were collected and stored in 4% paraformaldehyde until use. Antiviral therapy was defined as patients with HBV, HCV, or HBV/HCV infection receiving treatment according to the Taiwan Association for the Study of the Liver. A total of 65.2% (163/250) of the patients with HBV infection were treated with nucleoside/nucleotide analogs. A total of 37.5% (57/152) of the patients with HCV infection were treated with pegylated interferon with ribavirin or direct-acting antiviral agents and achieved sustained virologic responses. A total of 85.7% (18/21) of patients with HBV/HCV co-infection were treated with nucleoside/nucleotide analogs, pegylated interferon with ribavirin or direct-acting antiviral agents. This study was approved by the Institutional Review Board of the E-DA Hospital (EMRP32100N) and the Institution of Reviewer Board of Changhua Christian Hospital (091107). The experiments were conducted in accordance with the guidelines of the International Conference on Harmonization for Good Clinical Practice. All participants were adult and provided written informed consent.

Tissue microarray construction

Tissue microarrays were constructed according to the manufacturer’s instructions (Array Biotechnology Co., Taiwan). Briefly, all HCC specimens were stained with hematoxylin and eosin (H&E), and representative areas that were free from necrotic and hemorrhagic materials were marked in the paraffin blocks. Two cylindrical tissue cores (1.6-mm diameter) were removed from the donor blocks and transferred to the recipient paraffin blocks, and their planar array positions were noted. Each contained approximately 96 cylinders, and the final tissue microarrays consisted of 535 HCC tissue samples along with paired ANT tissues. The 4-μm-thick consecutive sections obtained from the array blocks were placed on adhesion microscope slides for immunohistochemistry (IHC).

Immunohistochemical staining and scoring

The 4-μm tissue sections were stained using the HRP (DAB) detection system according to the manufacturer’s instructions with slight modifications. The primary polyclonal antibodies used were anti-LC3 (NB100-2220, Novus Biologicals, Littleton, CO, USA), anti-Beclin-1 (ab51031, Abcam, Cambridge, UK), and anti-p62 (H00008878-M01, Abnova, Taipei, Taiwan). The expression of autophagy-related proteins (LC3, Beclin-1, and p62) was quantitated using the semi-quantitative immunoreactive scoring (IRS) system as described previously [35], and the expression was defined as either positive (IRS ≥ 2) or negative (IRS <2) based on the products of the intensity and percentage scores. All slides were evaluated independently by two investigators in a blinded manner. Cases with discrepancies were discussed until a consensus was reached.

Data analysis and statistics

All statistical analyses were performed using SPSS ver. 18.0 (SPSS, Chicago, IL, USA). The associations between markers and clinical characteristics were evaluated using Pearson’s χ2 test and Fisher’s exact test, where appropriate. Group means (mean±standard deviation) were compared using analysis of variance and Student’s t-test, where appropriate. Correlation coefficients between each marker was determined using Spearman’s correlation analysis. To evaluate whether the variables selected in the univariate analysis were independent factors associated with overall survival, multivariate analyses were performed using a Cox’s proportional hazard regression model, and the results were reported as the hazard ratio (HR) with 95% confidence intervals (CIs). Variables including sex, age, Platelet count, AFP, Hepatitis etiology, liver cirrhosis, antiviral therapy, tumor recurrence, marcovascular invasion, microvascular invasion, tumor size, BCLC stage, CLIP score, and LC3 in tumor/ANT tissues were entered into a multivariate analysis. Kaplan-Meier survival curves were plotted and compared using the log-rank test to examine the differences in survival with respect to different factors. All statistical analyses were two-sided, and a p-value<0.05 was considered significant.

Results

Baseline demographic and clinicopathological data

Table 1 shows the demographic data and clinicopathological factors of the 535 patients. Two hundred and nineteen (40.9%) patients died. The study group predominantly comprised male patients (73.1%), and the mean age was 63 years. Pre-existing diseases, namely, hypertension and diabetes mellitus, were observed in 18.9% and 11.0% of the patients, respectively. Regarding HCC etiologies, 28.4%, 46.7%, 3.9% and 20.9% of the patients had HCV-, HBV-, HBV/HCV-co-infection- and non-viral-related HCC, respectively. Of the 423 patients with viral hepatitis, 56.3% had received antiviral therapy. Cirrhosis was observed in 32.3% of the patients. Regarding tumor histology and pathological stage, 9.5% of the patients had an Edmondson–Steiner grade of I-II, and most patients had TNM stage I-II (83.6%), BCLC stage 0-A (63.9%) disease, and CLIP score 0–1 (80.0%). HCC recurred in 45.8% of the patients, with 116 patients having recurrences within 2 years post-hepatectomy (early recurrence), and 129 patients having recurrences at least 2 years after hepatectomy (late recurrence). Extra- and intra-hepatic recurrences were observed in 17.1% and 82.9% of the patients, respectively. The examination of the autophagy-related markers revealed the following: 91.6% of the HCC tissues and 59.8% of the ANT tissues were positive for LC3; 86.7% of the HCC tissues and 34.8% of the ANT tissues were positive for Beclin-1; and 81.1% of the HCC tissues and 8.4% of the ANT tissues were positive for p62.

Table 1. Basic demographic data and univariate analysis of overall survival of hepatocellular carcinoma patients who underwent curative resection.

Characteristics All patients
(n = 535)
Non-mortality (n = 316) Mortality (n = 219) p-value
Gender
    Female 144 (26.9) 74 (23.4) 70 (32.0) 0.030
    Male 391 (73.1) 242 (76.6) 149 (68.0)
Age (years) 63.1±11.5 62.5±12.1 64.0±10.5 0.141
HTN 101 (18.9) 55 (17.4) 46 (21.0) 0.368
DM 59 (11.0) 39 (12.3) 20 (9.1) 0.264
Alcohol 129 (24.9) 73 (23.1) 56 (25.6) 0.538
Smoking 152 (28.4) 99 (31.3) 53 (24.2) 0.080
HCC etiology
    HCV 152 (28.4) 102 (32.3) 50 (22.8) 0.015
    HBV 250 (46.7) 141 (44.6) 109 (49.8)
    Non HBVHCV 112 (20.9) 57 (18.0) 55 (25.1)
    HBV+HCV 21 (3.9) 16 (5.1) 5 (2.3)
AST (IU/L) 55±38 53±36 57±40 0.225
ALT (IU/L) 50± 39 50±35 51±43 0.774
Total Bilirubin (mg/dl) 0.79±0.34 0.80±0.36 0.79±0.31 0.854
Albumin (g/dl) 3.9±0.4 3.9±0.5 3.8±0.4 0.445
Creatinine 1.0±0.7 1.0±0.7 1.1±0.9 0.540
Platelet count (x103/ml) 175±71 169±72 184±69 0.013
INR 1.07±0.10 1.09±0.14 1.07±0.12 0.315
AFP (ng/dl)
    < 400 438 (81.9) 260 (82.3) 178 (81.3) 0.768
    ≥ 400 97 (18.1) 56 (17.7) 41 (18.7)
ICG (%) 8.3±5.3 8.4±5.4 8.2±5.2 0.759
Liver cirrhosis
    Negative 362 (67.7) 227 (71.8) 135 (61.6) 0.013
    Positive 173 (32.3) 89 (28.2) 84 (38.4)
Antiviral therapy
    Negative 185 (43.7) 98 (37.8) 87 (53.0) 0.002
    Positive 238 (56.3) 161 (62.2) 77 (47.0)
Operative methods
    Minor LR 412 (77.0) 250 (79.1) 162 (74.0) 0.360
    Major LR 123 (23.0) 66 (20.9) 57 (26.0)
Operative margin (>1 cm)
    Negative 150 (28.0) 95 (30.1) 55 (25.1) 0.240
    Positive 385 (72.0) 221 (69.9) 164 (74.9)
Edmondson-Steiner Grades
    I-II 51 (9.5) 28 (8.9) 23 (10.5) 0.551
    III-IV 484 (90.5) 288 (91.1) 196 (89.5)
Macrovascular invasion
    Negative 424 (79.3) 261 (82.6) 163 (74.4) 0.022
    Positive 111 (20.7) 55 (17.4) 56 (25.6)
Microvascular invasion
    Negative 289 (54.0) 185 (58.5) 104 (47.5) 0.012
    Positive 246 (46.0) 131 (41.5) 115 (52.5)
Tumor number
    Single 438 (81.9) 250 (79.1) 188 (85.8) 0.052
    Multiple 97 (18.1) 66 (20.9) 31 (14.2)
Tumor size
    < 5 cm 352 (65.8) 220 (69.6) 132 (60.3) 0.026
    ≥5 cm 183 (34.2) 96 (30.4) 87 (39.7)
TNM stage
    I-II 447 (83.6) 262 (82.9) 185 (84.5) 0.722
    III-IV 88 (16.4) 54 (17.1) 34 (15.5)
BCLC stage
    0-A 342 (63.9) 214 (67.7) 128 (58.4) 0.035
    B-C 193 (36.1) 102 (32.3) 91 (41.6)
CLIP score
    0–1 428 (80.0) 254 (80.4) 174 (79.5) 0.792
    2–5 107 (20.0) 62 (19.6) 45 (20.5)
HCC recurrence status
    Negative 290 (54.2) 226 (71.5) 64 (29.2) < .0001
    Positive 245 (45.8) 90 (28.5) 155 (70.8)
LC3 in tumor tissues
    Negative 45 (8.4) 9 (2.8) 36 (16.4) < .0001
    Positive 490 (91.6) 307 (97.2) 183 (83.6)
Beclin-1 in tumor tissues
    Negative 71 (13.3) 47 (14.9) 24 (11.0) 0.198
    Positive 464 (86.7) 269 (85.1) 195 (89.0)
p62 in tumor tissues
    Negative 101 (18.9) 56 (17.7) 45 (20.5) 0.433
    Positive 434 (81.1) 260 (82.3) 174 (79.5)
LC3 in ANT tissues
    Negative 215 (40.2) 98 (31.0) 117 (53.4) < .0001
    Positive 320 (59.8) 218 (69.0) 102 (46.6)
Beclin-1 in ANT tissues
    Negative 349 (65.2) 216 (68.4) 133 (60.7) 0.079
    Positive 186 (34.8) 100 (31.6) 86 (39.3)
p62 in ANT tissues
    Negative 490 (91.6) 287 (90.8) 203 (92.7) 0.527
    Positive 45 (8.4) 29 (9.2) 16 (7.3)

Data shown as mean ± standard deviation or number (%). HTN: Hypertension; DM: Diabetes Mellitus; HBV: Hepatitis B virus; HCV: Hepatitis C virus; AST: aspartate aminotransferase; ALT: alanine aminotransferase; INR: International normalized ratio; AFP: Alpha-fetoprotein; ICG: Indocyanine green; Minor liver resection: ≤ 2 segmentectomy; Major liver resection: ≥ 3 segmentectomy; BCLC stage: Barcelona clinic liver cancer; ANT part, adjacent non-tumor part.

Factors related to overall survival in patients who underwent curative hepatectomy for HCC

During the median follow-up of 42 months (range, 1 to 84 months), 59.1% of the patients remained alive, and the cumulative incidences of overall survival at 1, 3, 5 and 7 years was 91.0%, 72.3%, 58.8%, and 27.7% (Fig 1). In univariate analysis, sex, age, pre-existing disease, liver function, AFP, operative method, operative margins, tumor number, CLIP score were not significantly different between the surviving patients and those who died (Table 1). Conversely, the following factors were significantly associated with higher overall survival: HCC etiology such as HCV infection, platelet count, absence of cirrhosis, patients receiving antiviral therapy for viral hepatitis, absence of macrovascular and microvascular invasions, tumor size <5 cm, BCLC stage 0-A, absence of HCC recurrence, and the presence of LC3 expression in HCC tissues or ANT tissues.

Fig 1. Cumulative incidence of overall survival calculated using Kaplan-Meier survival analysis.

Fig 1

In multivariate analysis, the Cox proportional hazard model showed that patients lacking LC3 expression in both the HCC and ANT tissues had the highest mortality (-/-; HR: 6.74; 95% CI: 2.052–22.19, p<0.0001), followed by those lacking LC3 expression in the HCC tissues alone (-/+; HR: 6.70; 95% CI: 1.321–33.98, p = 0.022), those with recurrent HCC (HR: 5.11; 95% CI: 3.136–8.342, p<0.0001), those with HBV-related HCC (HR: 2.75; 95% CI: 1.574–4.784, p<0.0001), those lacking LC3 expression in the ANT tissues alone (+/-; HR: 2.58; 95% CI: 1.499–4.915, p = 0.002), and those with cirrhosis (HR: 1.78; CI: 1.059–2.974, p = 0.029) (Table 2). The mortality was also significantly reduced in patients receiving antiviral therapy (HR: 0.42; CI: 0.250–0.697, p = 0.001).

Table 2. Multivariate analyses of factors associated with mortality of hepatocellular carcinoma patients who underwent curative resection.

Variables Hazard ratio 95% CI p-value
Sex
    Female 1
    Male 0.60 0.349–1.026 0.062
Age (years)
    < 65 1
    ≥ 65 1.09 0.792–1.526 0.572
Platelet count (x103/ml)
    < 100 1
    ≥ 100 1.38 0.691–2.38 0.058
AFP (ng/dl)
    < 400 1
    ≥ 400 1.09 0.776–1.531 0.620
Hepatitis etiology
    HCV 1
    HBV 2.75 1.574–4.784 <0.0001
    Non HBVHCV 1.38 0.363–5.213 0.639
    HBV+HCV 0.93 0.282–3.053 0.903
Liver cirrhosis
    Negative 1
    Positive 1.78 1.059–2.974 0.029
Antiviral therapy
    Negative 1
    Positive 0.42 0.250–0.697 0.001
Tumor recurrence
    Negative 1
    Positive 5.11 3.136–8.342 <0.0001
Macrovascular invasion
    Negative 1
    Positive 1.05 0.459–2.407 0.906
Microvascular invasion
    Negative 1
    Positive 2.17 0.925–5.092 0.075
Tumor size
    < 5 cm 1
    ≥5 cm 1.61 0.724–3.594 0.242
BCLC stage
    0-A 1
    B-C 0.50 0.184–1.343 0.168
CLIP score
    0–1 1
    2–5 1.09 0.792–1.526 0.572
LC3 in tumor/ANT tissues
    +/+ 1
    +/- 2.58 1.499–4.915 0.002
    -/+ 6.70 1.321–33.98 0.022
    -/- 6.74 2.052–22.19 <0.0001

ANT, adjacent non-tumor; BCLC stage: Barcelona clinic liver cancer

Kaplan-Meier survival analysis revealed that patients with HCV-related HCC had significantly higher overall survival than their counterparts (Fig 2A, log-rank test), and their 1-, 3-, 5- and 7-year overall survival rates were 94.7%, 83.3%, 67.1% and 50.1%, respectively. Patients without cirrhosis had significantly higher overall survival rates than their counterparts, and their 1-, 3-, 5- and 7-year overall survival rates were 91.4%, 74.9%, 63.8% and 30.2%, respectively (Fig 2B). For patients who had received antiviral therapy for hepatitis viral infection, their overall survival rates were significantly higher than their counterparts, having 1-, 3-, 5- and 7-year overall survival rates of 97.9%, 80.2%, 69.0% and 58.4%, respectively (Fig 2C). For patients without recurrent HCC, their overall survival rates were significantly higher than their counterparts, having a 1-, 3-, 5- and 7-year overall survival rates of 89.0%, 82.8%, 77.9% and 65.3%, respectively (Fig 2D). A comparison between patients with early and late recurrences revealed that those with late recurrences had significantly higher overall survival rates (p<0.0001, Fig 2E). However, all patients with recurrent HCC eventually died during the follow-up period. Patients with positive LC3 expression in both the HCC and ANT tissues (+/+) had the best survival rates, and their 1-, 3-, 5- and 7-year overall survival rates were 97.4%, 79.2%, 70.2% and 37.8%, respectively (Fig 3). The overall survival rates were significantly lower for patients lacking LC3 expression in both tissues (-/-, p<0.0001), in the HCC tissues alone (-/+, p<0.022) and in the ANT tissues alone (+/-, p = 0.002).

Fig 2. Cumulative incidence of overall survival with respect to various clinicopathological factors.

Fig 2

Patients with HCV-related HCC (A), the absence of liver cirrhosis (B), antiviral therapy for hepatitis viral infection (C), the absence of recurrent HCC (D), and late recurrence (E) had significantly higher overall survival rates than their counterparts.

Fig 3. Cumulative incidence of overall survival with respect to LC3 expression in both the tumor and adjacent non-tumor tissues.

Fig 3

Patients with LC3 expression in both the HCC and ANT tissues (+/+) had a significantly higher overall survival rate than patients lacking LC3 expression in the ANT tissues (+/-), in the HCC tissues (-/+) or both tissue types (-/-).

Discussion

In the current study, 535 consecutive HCC patients who underwent curative hepatectomy at two hospitals were examined to identify factors affecting overall survival. Our results demonstrated that the presence of autophagy-related marker LC3 in both the tumor and non-tumor liver microenvironments is significantly associated with higher overall survival. This finding suggests that the LC3 expression in both microenvironments has a protective role against mortality and that the measurement of LC3 expression in both tissues may serve as an excellent predictor of overall survival for patients with curative hepatectomy for HCC. In addition, HCC etiology, cirrhosis, antiviral therapy and recurrent HCC are also risk factors that affect the prognosis of HCC after postoperative hepatectomy.

The overall survival after curative hepatectomy is often impaired by the high rates of recurrence and tumor-related death observed [34]. HCC recurrence has a poorer survival outcome [36, 37]. In two separate studies, the 5-year overall survival rates of postoperative HCC patients with recurrent HCC were 30.9% and 38%, which were significantly poorer than those without recurrent HCC, having 5-year overall survival rates of 72.9% and 85%. In our study, the 5-year overall survival rates of patients with and without recurrent HCC were 38.7% and 77.9%, respectively, which were similar to the observations made in the two studies [38, 39]. Although patients with early recurrences had a poorer 5-year overall survival rate than those with late recurrences (3.8% vs 66.2%), all patients with recurrent HCC eventually died, suggesting that HCC recurrence has a major impact on the postoperative prognosis of HCC patients.

The impairment of liver function caused by cirrhosis may restrict the treatment modalities available to treat HCC, and therefore, patients with severe cirrhosis are seldom recommended for hepatectomy. Cirrhosis is also one factor that affects the prognosis of postoperative HCC [40, 41]. Several studies have revealed that the 5-year overall survival rates of postoperative HCC patients with cirrhosis range from 42.2–50% and are significantly poorer than those without cirrhosis, having 5-year overall survival rates ranging from 51–73% [40, 41]. The degree of cirrhotic severity is reportedly associated with postoperative overall survival, and the overall survival rate of patients with increased liver fibrosis or cirrhosis severity is worsened [4143]. In our study, the 5-year overall survival rate of the patients with cirrhosis was significantly poorer than those without cirrhosis (47.3% vs. 63.8%), which was similar to these studies. This finding further supports the impact of cirrhosis on postoperative overall survival. Of the 245 patients who had experienced recurrent HCC, cirrhosis was associated with a higher risk of developing recurrent HCC (HR: 1.59, p<0.017; Under Review). Given that cirrhotic severity is associated with recurrent HCC and that cirrhosis is associated with poorer overall survival (HR: 5.11, p<0.0001), the data further demonstrate that the presence of coexisting cirrhosis is associated with a higher risk of recurrent HCC and poorer overall survival rates in HCC patients with curative hepatectomy.

The use of antiviral therapies to suppress HBV viral replication and achieve SVR for HCV infection is significantly associated with prolonged recurrence-free survival and overall survival in patients with curative hepatectomy for HBV- and HCV-related HCC [1820, 44, 45]. In one study, the 5-year overall survival rates of postoperative HBV-related HCC patients with and without antiviral therapy were 66.7% and 56%, respectively [18]. In another study, the 4-year overall survival rates of both non-randomized and randomized cohorts were 59.6% and 86.4%, respectively, for HBV-related HCC patients with antiviral therapy and 46.6% and 47.4%, respectively, for patients without antiviral therapy [19]. In both studies, the enhanced survival rates observed for patients receiving antiviral therapy were associated with a better liver function reserve during the time of recurrence, hence allowing subsequent curative treatment to be performed [18, 19]. In another study conducted in Taiwan, the 6-year overall survival rates of HBV-related HCC patients with and without antiviral therapy after postoperative hepatectomy were 71% and 57.6%, respectively [46]. For HCV-related HCC, the 5-year overall survival rate of patients receiving antiviral therapy for HCV infection after hepatectomy was significantly higher than the survival rate of the patients without antiviral therapy (91.7% vs. 50.6%) [47]. In another study comparing the overall survival rates of postoperative HCV-related HCC patients with high vs. low HCV viral loads, patients with low viral loads denoting less severe activity of hepatitis had a significantly better overall survival rate than those with high viral loads (76.6% vs. 57.7%) [44]. In our study, although patients receiving antiviral therapy were not separated based on HCV and HBV infection, the 5-year overall survival rate of patients receiving antiviral therapy was significantly better than those without antiviral therapy (69.0% vs. 51.2%, p<0.0001). These data suggest that the treatment for active hepatitis is crucial in the management of HCC.

A previous study showed that the expression of LC3 in HCC tissues is significantly associated with longer overall survival and a longer time to recurrence in postoperative patients [27]. However, another study showed that high LC3 expression in HCC tissues is associated with poor overall survival [48]. In our study, patients with LC3 expression in both the tumor and liver microenvironments (+/+) had a better clinical outcome than those lacking LC3 expression in both tissue types (-/-), in the HCC tissue alone (-/+), and in the liver microenvironment alone (+/-). Given that patients lacking LC3 in the HCC tissues (both -/- and -/+) had an almost similar risk of mortality (HR 6.74 vs. 6.70, respectively), the presence of LC3 in the HCC tissues may have a high impact on protection against mortality, and LC3 expression in the HCC tissues may be important for enhancing overall survival. Notably, patients lacking LC3 in the ANT tissues alone (+/-) were at high risk of mortality (HR 2.58), and all of these patients eventually died at the end of the follow-up period. This observation suggests that the presence of LC3 in the ANT tissues is equally important for protecting against mortality and support the use of LC3 expression in the tumor and ANT tissues as a prognostic factor for overall survival in patients with curative hepatectomy for HCC. Furthermore, LC3 expression is not significantly associated with clinicalpathological variables such as marcovascular invasion, microvascular invasion, tumor differentiation, tumor size, tumor number, TNM stage, BCLC stage and CLIP score. LC3 expression is significantly associated with tumor recurrence. Our previous study showed that LC3 expression is significantly associated with early recurrence, late recurrence, and all recurrence, respectively [31]. Tumor recurrence is significantly associated with overall survival. It is possible that LC3 expression is significantly associated with overall survival because of tumor recurrence.

The relationship between LC3 expression in the non-tumor microenvironment and overall survival has not been discussed in the literature. We have previously reported that a lack of LC3 expression in ANT tissues is associated with immediate death post-hepatectomy [35]. Here, we show that a lack of LC3 expression in both the tumor and non-tumor liver microenvironments is strongly associated with the poor prognosis of patients with curative hepatectomy for HCC. The presence of LC3 expression in both tissue types has protective effects against mortality, suggesting the importance and involvement of autophagy in both tissue types in affecting the overall survival of HCC after hepatectomy. In addition, we have also found that LC3 expression in the tumor and liver microenvironments is significantly associated with HCC recurrence [31]. Overall, we demonstrate that the LC3 expression in the non-tumor liver microenvironment has a significant effect on the clinical prognosis, including immediate mortality, overall survival, and HCC recurrence, in patients with curative resection for HCC. This observation suggests that autophagy in the non-tumor liver microenvironment plays roles in the postoperative prognosis of HCC and that the inclusion of IHC examination of ANT tissues for LC3 expression during hepatectomy can provide additional information for critical surveillance, clinical prognosis, and supportive therapy.

In summary, the absence of LC3 expression in both the tumor and non-tumor liver microenvironments is significantly associated with poor overall survival in patients who undergo curative hepatectomy for HCC. Factors such as HCC etiology, cirrhosis, antiviral therapy for hepatitis viral infection, and recurrent HCC are also associated with a poor prognosis of HCC. In addition to the tumor microenvironment, the assessment of autophagy function in the non-tumor liver microenvironment is equally important for predicting overall survival. The analysis of LC3 expression in tumor and ANT tissues, in conjunction with an assessment of HCC recurrence status, HCC etiology, the presence of cirrhosis and antiviral therapy status, can aid in identifying patients at risk of mortality after curative resection. Our results suggest that autophagy plays an important role in the prognosis of patients with curative hepatectomy for HCC and that LC3 may serve as a marker for predicting overall survival and as a potential therapeutic target for enhancing the life expectancy of HCC patients.

Supporting information

S1 Dataset

(XLSX)

Acknowledgments

We thank Yu-Chan Li, Bao-Sheng Hou, and Shuting Lin for the collection and analysis of data.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This study was supported by grants from the Ministry of Science and Technology, Taiwan (MOST 105-2314-B-037-062-MY2 to Ming-Lung Yu, MOST 105-2314-B-650-004-MY3 to Chih-Wen Lin, and MOST 106-2314-B-037-074 to Ming-Lung Yu), E-Da Hospital (EDAHP106036, EDAHP106048, EDAHP106054, EDAHP107040, EDAHP107041, and EDAHP107064) to Chih-Wen Lin, Kaohsiung Medical University Hospital (KMUH105-5R06) to Ming-Lung Yu, and the Liver Disease Prevention and Treatment Research Foundation, Taiwan to Chih-Wen Lin. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.El-Serag HB. Epidemiology of viral hepatitis and hepatocellular carcinoma. Gastroenterology, 2012; 142(6):1264–1273. 10.1053/j.gastro.2011.12.061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Forner A, Llovet JM, Bruix J. Hepatocellular carcinoma. Lancet, 2012; 379(9822): 1245–55. 10.1016/S0140-6736(11)61347-0 [DOI] [PubMed] [Google Scholar]
  • 3.Yang JD, Roberts LR. Hepatocellular carcinoma: A global view. Nat Rev Gastroenterol Hepatol, 2010; 7(8): 448–58. 10.1038/nrgastro.2010.100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Omata M, Cheng AL, Kokudo N, Kudo M, Lee JM, Jia J, et al. Asia–Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hepatology International, 2017; 11(4): 317–370. 10.1007/s12072-017-9799-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.DOH, ROC. Report of Leading Cancer-related Death. 2012. [Google Scholar]
  • 6.Poon RT, Fan ST, Lo CM, Liu CL, Lam CM, Yuen WK, et al. , Improving perioperative outcome expands the role of hepatectomy in management of benign and malignant hepatobiliary diseases: analysis of 1222 consecutive patients from a prospective database. Ann Surg, 2004; 240(4): 698–708; discussion 708–10. 10.1097/01.sla.0000141195.66155.0c [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rahbari NN, Wente MN, Schemmer P, Diener MK, Hoffmann K, Motschall E, et al. , Systematic review and meta-analysis of the effect of portal triad clamping on outcome after hepatic resection. Br J Surg, 2008; 95(4): 424–32. 10.1002/bjs.6141 [DOI] [PubMed] [Google Scholar]
  • 8.Taylor-Robinson SD, Foster GR, Arora S, Hargreaves S, Thomas HC. Increase in primary liver cancer in the UK, 1979–94. Lancet, 1997; 350(9085): 1142–3. 10.1016/S0140-6736(05)63789-0 [DOI] [PubMed] [Google Scholar]
  • 9.Poon RT, Fan ST, Lo CM, Ng IO, Liu CL, Lam CM, et al. Improving survival results after resection of hepatocellular carcinoma: a prospective study of 377 patients over 10 years. Ann Surg, 2001; 234(1): 63–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Roayaie S, Obeidat K, Sposito C, Mariani L, Bhoori S, Pellegrinelli A, et al. Resection of hepatocellular cancer </ = 2 cm: results from two Western centers. Hepatology, 2013; 57(4): 1426–35. 10.1002/hep.25832 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Forner A, Vilana R, Ayuso C, Bianchi L, Solé M, Ayuso JR, et al. Diagnosis of hepatic nodules 20 mm or smaller in cirrhosis: Prospective validation of the noninvasive diagnostic criteria for hepatocellular carcinoma. Hepatology, 2008; 47(1): p. 97–104. 10.1002/hep.21966 [DOI] [PubMed] [Google Scholar]
  • 12.Singal AG, Pillai A, Tiro J. Early detection, curative treatment, and survival rates for hepatocellular carcinoma surveillance in patients with cirrhosis: a meta-analysis. PLoS Med, 2014; 11(4): e1001624 10.1371/journal.pmed.1001624 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Johnson PJ, Berhane S, Kagebayashi C, Satomura S, Teng M. Assessment of liver function in patients with hepatocellular carcinoma: a new evidence-based approach-the ALBI grade. J Clin Oncol, 2015; 33(6): 550–8. 10.1200/JCO.2014.57.9151 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Esnaola NF, Mirza N, Lauwers GY, Ikai I, Regimbeau JM, Belghiti J, et al. Comparison of clinicopathologic characteristics and outcomes after resection in patients with hepatocellular carcinoma treated in the United States, France, and Japan. Ann Surg, 2003; 238(5): 711–9. 10.1097/01.sla.0000094436.34556.ac [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Arzumanyan A, Reis HM, Feitelson MA. Arzumanyan, A. Pathogenic mechanisms in HBV- and HCV-associated hepatocellular carcinoma. Nat Rev Cancer, 2013; 13(2): 123–35. 10.1038/nrc3449 [DOI] [PubMed] [Google Scholar]
  • 16.Kim MY, Cho MY, Baik SK, Park HJ, Jeon HK, Im CK, et al. Histological subclassification of cirrhosis using the Laennec fibrosis scoring system correlates with clinical stage and grade of portal hypertension. Journal of Hepatology, 2011; 55(5): 1004–1009. 10.1016/j.jhep.2011.02.012 [DOI] [PubMed] [Google Scholar]
  • 17.Tung-Ping Poon R, Fan ST, Wong J. Risk factors, prevention, and management of postoperative recurrence after resection of hepatocellular carcinoma. Ann Surg, 2000; 232(1): 10–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Chong CC, Wong GL, Wong VW, Ip PC, Cheung YS, Chong Wong J, et al. Antiviral therapy improves post-hepatectomy survival in patients with hepatitis B virus-related hepatocellular carcinoma: a prospective-retrospective study. Alimentary Pharmacology & Therapeutics, 2015; 41(2): 199–208. 10.1111/apt.13034 [DOI] [PubMed] [Google Scholar]
  • 19.Sohn W, Kang TW, Choi SK, Jung SH, Lee MW, Yin Lim HK, et al. Effect of antiviral treatment with nucleotide/nucleoside analogs on postoperative prognosis of hepatitis B virus-related hepatocellular carcinoma: a two-stage longitudinal clinical study. J Clin Oncol Off J Am Soc Clin Oncol, 2013; 31 doi: 10.18632/oncotarget.10026 PMID: 27329596 [DOI] [PubMed] [Google Scholar]
  • 20.Manthravadi S, Paleti S, Pandya P. Impact of sustained viral response postcurative therapy of hepatitis C-related hepatocellular carcinoma: a systematic review and meta-analysis. International Journal of Cancer, 2017; 140(5): 1042–1049. 10.1002/ijc.30521 [DOI] [PubMed] [Google Scholar]
  • 21.Ao L, Song X, Li X, Tong M, Guo Y. An individualized prognostic signature and multiomics distinction for early stage hepatocellular carcinoma patients with surgical resection. Oncotarget, 2016; 7(17): 24097–110. doi: 10.18632/oncotarget.8212 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Nault JC, De Reyniès A, Villanueva A, Calderaro J, Rebouissou S, Couchy G, et al. A Hepatocellular Carcinoma 5-Gene Score Associated With Survival of Patients After Liver Resection. Vol. 145 2013. 10.1053/j.gastro.2013.03.051 [DOI] [PubMed] [Google Scholar]
  • 23.Singh R, Cuervo AM. Autophagy in the cellular energetic balance. Cell Metab, 2011; 13(5): 495–504. 10.1016/j.cmet.2011.04.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Czaja MJ, Ding WX, Donohue TM Jr, Friedman SL, Kim JS, Komatsu M, et al. Functions of autophagy in normal and diseased liver. Autophagy, 2013; 9(8): 1131–58. 10.4161/auto.25063 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Schneider JL, Cuervo AM. Cuervo, Liver autophagy: much more than just taking out the trash. Nat Rev Gastroenterol Hepatol, 2014; 11(3): 187–200. 10.1038/nrgastro.2013.211 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ding ZB, Shi YH, Zhou J, Qiu SJ, Xu Y, Dai Z, et al. Association of autophagy defect with a malignant phenotype and poor prognosis of hepatocellular carcinoma. Cancer Res, 2008; 68(22): 9167–75. 10.1158/0008-5472.CAN-08-1573 [DOI] [PubMed] [Google Scholar]
  • 27.Lee YJ, Hah YJ, Kang YN, Kang KJ, Hwang JS, Chung WJ, et al. The Autophagy-Related Marker LC3 Can Predict Prognosis in Human Hepatocellular Carcinoma. PLoS ONE, 2013; 8(11): e81540 10.1371/journal.pone.0081540 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Qiu DM, Wang GL, Chen L, Xu YY, He S, Cao XL, et al. The expression of beclin-1, an autophagic gene, in hepatocellular carcinoma associated with clinical pathological and prognostic significance. BMC Cancer, 2014; 14: 327 10.1186/1471-2407-14-327 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Toshima T, Shirabe K, Matsumoto Y, Yoshiya S, Ikegami T, Yoshizumi T, et al. Autophagy enhances hepatocellular carcinoma progression by activation of mitochondrial beta-oxidation. J Gastroenterol, 2014; 49(5): 907–16. 10.1007/s00535-013-0835-9 [DOI] [PubMed] [Google Scholar]
  • 30.Lin CW, Chen YS, Lin CC, Chen YJ, Lo GH, Lee PH, et al. Amiodarone as an autophagy promoter reduces liver injury and enhances liver regeneration and survival in mice after partial hepatectomy. Sci Rep, 2015; 5: 15807 10.1038/srep15807 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Lin CW, Chen YS, Lin CC, Lee PH, Lo GH, Hsu CC, et al. Autophagy-related gene LC3 expression in tumor and liver microenvironments significantly predicts recurrence of hepatocellular carcinoma after surgical resection. Clin Transl Gastroenterol, 2018; 9(6): 166 10.1038/s41424-018-0033-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Umemura A, He F, Taniguchi K, Nakagawa H, Yamachika S, Font-Burgada J, et al. p62, Upregulated during Preneoplasia, Induces Hepatocellular Carcinogenesis by Maintaining Survival of Stressed HCC-Initiating Cells. Cancer Cell, 2016; 29(6): 935–948. 10.1016/j.ccell.2016.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Alphonso A, Alahari SK. Stromal Cells and Integrins: Conforming to the Needs of the Tumor Microenvironment. Neoplasia, 2009; 11(12): 1264–1271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.European Association For The Study Of The Liver1; European Organisation For Research And Treatment Of Cancer. EASL-EORTC clinical practice guidelines: Management of hepatocellular carcinoma. Journal of Hepatology, 2012; 56(4): 908–943. 10.1016/j.jhep.2011.12.001 [DOI] [PubMed] [Google Scholar]
  • 35.Lin CW, Lin CC, Lee PH, Lo GH, Hsieh PM, Koh KW, et al. The autophagy marker LC3 strongly predicts immediate mortality after surgical resection for hepatocellular carcinoma. Oncotarget, 2017; 8(54): 91902–91913. doi: 10.18632/oncotarget.19763 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Dhir M, Melin AA, Douaiher J, Lin C, Zhen WK, Hussain SM, et al. A Review and Update of Treatment Options and Controversies in the Management of Hepatocellular Carcinoma. Ann Surg, 2016; 263(6): 1112–25. 10.1097/SLA.0000000000001556 [DOI] [PubMed] [Google Scholar]
  • 37.Llovet JM, Schwartz M, Mazzaferro V. Resection and liver transplantation for hepatocellular carcinoma. Semin Liver Dis, 2005; 25(2): 181–200. 10.1055/s-2005-871198 [DOI] [PubMed] [Google Scholar]
  • 38.Portolani N, Coniglio A, Ghidoni S, Giovanelli M, Benetti A, Tiberio GA, et al. Early and late recurrence after liver resection for hepatocellular carcinoma: prognostic and therapeutic implications. Ann Surg, 2006; 243(2): 229–35. 10.1097/01.sla.0000197706.21803.a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Cheng Z, Yang P, Qu S, Zhou J, Yang J, Yang X, et al. Risk factors and management for early and late intrahepatic recurrence of solitary hepatocellular carcinoma after curative resection. HPB (Oxford), 2015; 17(5): 422–7. 10.1111/hpb.12367 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Grazi GL, Cescon M, Ravaioli M, Ercolani G, Gardini A, Del Gaudio M, et al. Liver resection for hepatocellular carcinoma in cirrhotics and noncirrhotics. Evaluation of clinicopathologic features and comparison of risk factors for long-term survival and tumour recurrence in a single centre. Aliment Pharmacol Ther, 2003; 17 Suppl 2: 119–29. [DOI] [PubMed] [Google Scholar]
  • 41.Wang Q, Fiel MI, Blank S, Luan W, Kadri H, Kim KW, et al. Impact of liver fibrosis on prognosis following liver resection for hepatitis B-associated hepatocellular carcinoma. British Journal of Cancer, 2013; 109(3): 573–581. 10.1038/bjc.2013.352 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Ishizawa T, Hasegawa K, Aoki T, Takahashi M, Inoue Y, Sano K, et al. Neither Multiple Tumors Nor Portal Hypertension Are Surgical Contraindications for Hepatocellular Carcinoma. Gastroenterology, 2008; 134(7): 1908–1916. 10.1053/j.gastro.2008.02.091 [DOI] [PubMed] [Google Scholar]
  • 43.Gassmann P, Spieker T, Haier J, Schmidt F, Mardin WA, Senninger N. Prognostic impact of underlying liver fibrosis and cirrhosis after curative resection of hepatocellular carcinoma. World J Surg, 2010; 34(10): 2442–51. 10.1007/s00268-010-0655-5 [DOI] [PubMed] [Google Scholar]
  • 44.Shindoh J, Hasegawa K, Matsuyama Y, Inoue Y, Ishizawa T, Aoki T, et al. Low hepatitis C viral load predicts better long-term outcomes in patients undergoing resection of hepatocellular carcinoma irrespective of serologic eradication of hepatitis C virus. J Clin Oncol Off J Am Soc Clin Oncol, 2013; 31 10.1200/JCO.2012.44.3234 [DOI] [PubMed] [Google Scholar]
  • 45.Yu ML, Lin SM, Chuang WL, Dai CY, Wang JH, Lu SN, et al. A sustained virological response to interferon or interferon/ribavirin reduces hepatocellular carcinoma and improves survival in chronic hepatitis C: a nationwide, multicentre study in Taiwan. Antivir Ther, 2006; 11(8): 985–94. [PubMed] [Google Scholar]
  • 46.Wu CY, Chen YJ, Ho HJ, Hsu YC, Kuo KN, Wu MS et al. Association between nucleoside analogues and risk of hepatitis B virus-related hepatocellular carcinoma recurrence following liver resection. JAMA, 2012; 308(18): 1906–14. [DOI] [PubMed] [Google Scholar]
  • 47.Tanimoto Y, Tashiro H, Aikata H, Amano H, Oshita A, Kobayashi T, et al. Impact of pegylated interferon therapy on outcomes of patients with hepatitis C virus-related hepatocellular carcinoma after curative hepatic resection. Ann Surg Oncol, 2012; 19(2): 418–25. 10.1245/s10434-011-1866-1 [DOI] [PubMed] [Google Scholar]
  • 48.Lee YJ, Hah YJ, Kang YN, Kang KJ, Hwang JS, Chung WJ, et al. Autophagic LC3B overexpression correlates with malignant progression and predicts a poor prognosis in hepatocellular carcinoma. Tumour Biol, 2014; 35(12): 12225–33. 10.1371/journal.pone.0081540 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Dataset

(XLSX)

Data Availability Statement

All relevant data are within the paper and its Supporting Information files.


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