Literature DB >> 32218593

Prognosis after resection of single large hepatocellular carcinoma: Results from an Asian high-volume liver surgery center.

Yueh-Wei Liu1, Chih-Che Lin1, Chee-Chien Yong1, Chih-Chi Wang1, Chao-Long Chen1, Jing-Houng Wang2, Yi-Hao Yen2.   

Abstract

BACKGROUND & AIMS: In 2012, the Barcelona Clinic Liver Cancer (BCLC) system designated a single large hepatocellular carcinoma (SLHCC) (>5 cm) as BCLC stage A rather than stage B. However, a recent study from western countries reported that prognosis following liver resection (LR) among patients with SLHCC was similar to that among patients with BCLC stage B. We aim to evaluate the prognosis following LR among patients with SLHCC from an Asian high-volume liver surgery center.
METHODS: Patients who underwent curative-intent LR for histologically proven HCC between 2011 and 2017 were enrolled using an HCC registry database. Overall survival (OS) among patients with BCLC stages 0, A, and B was examined. Patients with a SLHCC were classified as BCLC stage A1.
RESULTS: Among 543 patients, 89 (16.4%) were BCLC stage 0, 289 (53.2%) were BCLC stage A, 92 (16.9%) were BCLC stage A1, and 73 (13.4%) were BCLC stage B. The median follow-up was 38 months. The five-year OS rates among patients with BCLC stages 0, A, A1, and B were 83.5%, 83.7%, 77.4%, and 55.4%, respectively (p<0.001). No difference in OS was noted for patients with BCLC stage A versus A1 (p = 0.11), even after adjusting for competing factors (hazard ratio = 0.97, 95% confidence interval = 0.53-1.79; p = 0.93).
CONCLUSION: Prognosis following LR among patients with SLHCC was similar to that among patients with BCLC stage A. The prognosis for SLHCC should thus be considered comparable to that for BCLC stage A.

Entities:  

Year:  2020        PMID: 32218593      PMCID: PMC7100934          DOI: 10.1371/journal.pone.0230897

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Hepatocellular carcinoma (HCC) is one of the leading cause of cancer death worldwide [1]. Chronic viral infection accounts for the majority of HCC etiologies in Taiwan, where around 1.70 million subjects have hepatitis C virus (HCV) infections and around 3.50 million people are hepatitis B virus (HBV) carriers [2]. HCC and viral hepatitis are among the major public health threats in Taiwan. Liver resection (LR) improves the long-term survival of patients with HCC across different Barcelona Clinic Liver Cancer (BCLC) stages [3]. The BCLC system designated a single large HCC (>5 cm) as BCLC stage A rather than stage B in 2012 [4]. The revised BCLC classification schema has been endorsed by the American Association for the Study of Liver Diseases (AASLD) [5] and the European Association for the Study of the Liver (EASL) [6]. In practice, tumors >5 cm are indicated for LR as early HCC (BCLC-A), but appear to bear a worse prognosis than HCC within Milan criteria [4]. Some authors have designated this subgroup as BCLC-AB stage [3]. Furthermore, a recent international multi-institutional study from western countries reported that prognosis following LR among patients with single large HCC was similar to that among patients presenting with BCLC-B HCCs [7]. Given the debate regarding the prognostic stratification of single large HCC, we sought to evaluate the outcomes of patients undergoing LR for BCLC stages 0, A, and B, with a particular focus on patients with a single large HCC.

Patients and methods

Patients

The data used in this study were extracted from the Kaohsiung Chang Gung Memorial Hospital HCC registry database. Five hundred and forty-three naïve HCC patients with BCLC stages 0, A, and B who received LR with curative-intent from January 2011 to December 2017 at Kaohsiung Chang Gung Memorial hospital were enrolled. A flow chart of the patients’ enrollment is shown in Fig 1. We checked the vital status of these patients using the Cancers Screening and Tracing Information Integrated System for Taiwan (https://hosplab.hpa.gov.tw/CSTIIS/index.aspx). All the procedures used in the study were in accordance with the ethical standards of the committees on human experimentation and with the Helsinki Declaration. This study was approved by the Institutional Review Board of Chang Gung Memorial Hospital (IRB number: 201901892B0). The requirement for informed consent was waived by the IRB.
Fig 1

Flow chart of the patient enrollment from the Kaohsiung Chang Gung Memorial Hospital (KCGMH) cancer database.

Variables and outcomes of interest

The primary outcome was overall survival (OS), which was defined as the time interval between the date of LR and the date of death or last follow-up. The BCLC stages were defined by the EASL guideline [4]. For the purpose of this study, patients with a single large HCC (>5 cm) were classified as BCLC stage A1. Patients with HCC within Milan criteria [4] were classified as BCLC stage A. The demographic and clinical characteristics collected included age, gender, cirrhosis status (defined by Ishak score 5 or 6) [8], serum hepatitis B surface antigen (HBsAg) or anti-HCV positivity, body mass index (BMI), blood test results (i.e. a-fetoprotein [AFP] and total bilirubin levels, international normalized ratio [INR], Child–Pugh liver function classification), BCLC staging, type of surgical resection (i.e. major or minor), tumor differentiation (Edmondson-Steiner grade)[9], maximal tumor size (according to the postoperative pathological examinations), pathologic microvascular invasion and microsatellite nodule status, and resection margin status (i.e. R0 or non-R0). Major resection was defined as resection of three or more Couinaud segments.

Statistical analysis

The demographic and clinical characteristics of the entire cohort were summarized as median (interquartile range [IQR]) and frequency (%) for continuous and categorical variables, respectively. Cox proportional hazard regressions were conducted to evaluate the impact of risk factors on all-cause mortality using univariate and multivariate analyses. The variables with P values less than 0.05 in univariate analysis were included in multivariate model. Median OS months with 95% confidence intervals (CIs) for each BCLC stage were computed using Kaplan-Meier analysis. The survival curve of each BCLC stage was illustrated using the Kaplan-Meier estimator, and the survival differences between groups were estimated using the log-rank test. The pairwise comparisons between each pair of BCLC stages were also estimated using the log-rank test. The statistical significance level was set at P values less than 0.05. All statistical analyses were performed using Stata version 14.0 (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP).

Results

Patient and tumor characteristics

The present cohort was comprised of 543 patients with BCLC stages 0, A, and B HCC who underwent LR. The median follow-up was 38 months (IQR 26–63). Patients were categorized into the BCLC 0 (n = 89, 16.4%), BCLC A (n = 289, 53.2%), BCLC A1 (n = 92, 16.9%), and BCLC B (n = 73, 13.4%) stages (Table 1). The age, gender, BMI, and proportions of patients with HBsAg positive status, total bilirubin ≤1.2 mg/dL, INR≤1.1, Child-Pugh class A, and tumor differentiation were not significantly different between groups. The proportion of patients without cirrhosis (78.3%) was highest (p<0.001), the proportion of patients with anti-HCV positive status (22.8%) was lowest (p = 0.03), the proportion of patients with non-HBV, non-HCV, non-alcohol use disorder (27.2%) was highest (p = 0.002), the proportion of patients with major resection (73.9%) was highest (p<0.001), the proportion of patients with microvascular invasion (66.3%) was highest in the BCLC A1 group (p<0.001), and the median tumor size was largest (6.6 cm) in the BCLC A1 group (p<0.001).
Table 1

Demographics and patient characteristics in the entire cohort (n = 543).

VariablesBCLC staging classificationP
0 (n = 89)A (n = 289)A1 (n = 92)B (n = 73)
Age, years [median (IQR)]60 (52–63)61 (54–68)63 (53.5–71)60 (53–67)0.12
 <= 6569 (77.5)201 (69.6)54 (58.7)52 (71.2)0.05
 >6520 (22.5)88 (30.4)38 (41.3)21 (28.8)
Sex0.09
 Male61 (68.5)232 (80.3)75 (81.5)59 (80.8)
 Female28 (31.5)57 (19.7)17 (18.5)14 (19.2)
Cirrhosis<0.001
 No36 (40.4)164 (56.7)72 (78.3)44 (60.3)
 Yes53 (59.6)125 (43.3)20 (21.7)29 (39.7)
HBsAg positive0.59
 No40 (44.9)139 (48.1)47 (51.1)30 (41.1)
 Yes49 (55.1)150 (51.9)45 (48.9)43 (58.9)
Anti-HCV positive0.03
 No51 (57.3)185 (64.0)71 (77.2)51 (69.9)
 Yes38 (42.7)104 (36.0)21 (22.8)22 (30.1)
Alcohol use disorder0.17
 No83 (93.3)276 (95.5)84 (91.3)65 (89)
 Yes6 (6.7)13 (4.5)8 (8.7)8 (11)
Non-HBV, non-HCV, non-alcohol use disorder0.002
 No83 (93.3)248 (85.8)67 (72.8)61 (83.6)
 Yes6 (6.7)41 (14.2)25 (27.2)12 (16.4)
BMI (kg/m2)0.21
 <182 (2.2)4 (1.4)2 (2.2)2 (2.7)
 18–2437 (41.6)113 (39.1)43 (46.7)39 (53.4)
 >2449 (55.1)169 (58.5)44 (47.8)32 (43.8)
 Unknown1 (1.1)3 (1.0)3 (3.3)-
Bilirubin (mg/dL)0.61
 <= 1271 (79.8)240 (83.0)76 (82.6)56 (76.7)
 >1218 (20.2)49 (17.0)16 (17.4)17 (23.3)
INR0.26
 <= 1188 (98.9)272 (94.1)89 (96.7)69 (94.5)
 >111 (1.1)17 (5.9)3 (3.3)4 (5.5)
AFP (ng/dL)<0.001
 <= 4081 (91.0)249 (86.2)73 (79.3)47 (64.4)
 >408 (9.0)40 (13.8)19 (20.7)26 (35.6)
Child–Pugh classification0.41
 A89 (100)284 (98.3)89 (96.7)72 (98.6)
 B-5 (1.7)3 (3.3)1 (1.4)
Type of resection<0.001
 Minor68 (76.4)167 (57.8)24 (26.1)20 (27.4)
 Major21 (23.6)122 (42.2)68 (73.9)53 (72.6)
Tumor size, mm [median (IQR)]16 (14–20)29 (23–35)66 (55–90)58 (42–84)<0.001
Tumor Differentiation0.84
 Well or moderate85 (95.5)274 (94.8)90 (97.8)69 (94.5)
 Poor3 (3.4)13 (4.5)2 (2.2)4 (5.5)
 Unknown1 (1.1)2 (0.7)--
Microvascular invasion<0.001
 No58 (65.2)128 (44.3)31 (33.7)26 (35.6)
 Yes31 (34.8)161 (55.7)61 (66.3)47 (64.4)
Microsatellites nodules<0.001
 No87 (97.8)284 (98.3)82 (89.1)53 (72.6)
 Yes2 (2.2)5 (1.7)10 (10.9)20 (27.4)
R0 resection0.03
 No1 (1.1)4 (1.4)4 (4.3)5 (6.8)
 Yes88 (98.9)285 (98.6)88 (95.7)68 (93.2)

HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; INR, International Normalized Ratio; AFP, Alpha fetoprotein; BCLC, Barcelona Clinic Liver Cancer; BMI, body mass index; HBV, hepatitis B virus

HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; INR, International Normalized Ratio; AFP, Alpha fetoprotein; BCLC, Barcelona Clinic Liver Cancer; BMI, body mass index; HBV, hepatitis B virus

Survival analysis: BCLC stages 0, A, A1, and B HCC

The 5-year OS rates among the patients with BCLC stages 0, A, A1, and B HCC were 83.5%, 83.7%, 77.4%, and 55.4%, respectively (p<0.001) (Fig 2). There were no significant differences in OS among the patients with BCLC stage 0 versus A (p = 0.28) or BCLC stage A versus A1 (p = 0.11). There was a significant difference in OS among the patients with BCLC stage A1 versus B (p = 0.005).
Fig 2

Survival of patients according to BCLC subclasses.

5-year overall survival (OS) among patients with BCLC stage 0, A, A1, and B HCC was 83.5%, 83.7%, 77.4%, and 55.4%, respectively (p<0.001). BCLC 0 vs A, p = 0.28, BCLC 0 vs A1, p = 0.03, BCLC 0 vs B, p < 0.001, BCLC A vs A1, p = 0.11, BCLC A vs B, p < 0.001, BCLC A1 vs B, p = 0.005.

Survival of patients according to BCLC subclasses.

5-year overall survival (OS) among patients with BCLC stage 0, A, A1, and B HCC was 83.5%, 83.7%, 77.4%, and 55.4%, respectively (p<0.001). BCLC 0 vs A, p = 0.28, BCLC 0 vs A1, p = 0.03, BCLC 0 vs B, p < 0.001, BCLC A vs A1, p = 0.11, BCLC A vs B, p < 0.001, BCLC A1 vs B, p = 0.005.

Univariate analysis for mortality

The univariate analysis results for mortality are shown in Table 2. Age >65 years [hazard ratio (HR) = 1.98, 95%CI = 1.30–3.02, p = 0.001], total bilirubin >1.2 mg/dL (HR = 1.67, 95%CI = 1.04–2.69, p = 0.03), AFP>400 ng/dL (HR = 2.0, 95%CI = 1.24–3.22, p = 0.004), BCLC stage B [(using BCLC stage A as reference), HR = 3.78, 95%CI = 2.30–6.22, p<0.001], major resection (HR = 1.95, 95%CI = 1.26–3.01, p = 0.003), poor tumor differentiation (HR = 3.75, 95%CI = 1.87–7.53, p<0.001), microscopic vascular invasion (HR = 2.60, 95%CI = 1.6–4.21, p<0.001), microsatellite nodules (HR = 6.88, 95%CI = 4.23–11.2, p<0.001), and without R0 resection (HR = 5.31, 95%CI = 2.44–11.52, p<0.01) were associated with mortality.
Table 2

Risk factors for mortality (univariate analysis).

VariablesHR (95% CI)P
Age, years
 <= 65ref
 >651.98 (1.3–3.02)0.001
Sex
 Maleref
 Female0.66 (0.37–1.16)0.15
Cirrhosis
 Noref
 Yes1.06 (0.69–1.61)0.80
HBs Ag positive
 Noref
 Yes0.83 (0.55–1.27)0.40
Anti-HCV positive
 Noref
 Yes1.23 (0.8–1.9)0.34
BMI (kg/m2)
 <18 or 18–24ref
 >240.98 (0.65–1.49)0.93
Bilirubin (mg/dL)
 <= 1.2ref
 >1.21.67 (1.04–2.69)0.03
INR
 <= 1.1ref
 >1.10.6 (0.19–1.9)0.38
AFP (ng/dL)
 <= 400ref
 >4002 (1.24–3.22)0.004
Child–Pugh classification
 Aref
 B1.12 (0.27–4.55)0.88
BCLC staging classification
 00.64 (0.28–1.44)0.28
 Aref
 A11.60 (0.91–2.82)0.11
 B3.78 (2.30–6.22)<0.001
Type of resection
 Minorref
 Major1.95 (1.26–3.01)0.003
Tumor Differentiation (Edmondson-Steiner grade)
 Well or moderateref
 Poor3.75 (1.87–7.53)<0.001
Microvascular invasion
 Noref
 Yes2.6 (1.6–4.21)<0.001
Microsatellites nodules
 Noref
 Yes6.88 (4.23–11.2)<0.001
R0 resection
 No5.31 (2.44–11.52)<0.001
 Yesref

HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; INR, International Normalized Ratio; AFP, Alpha fetoprotein; BCLC, Barcelona Clinic Liver Cancer; BMI, body mass index

HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; INR, International Normalized Ratio; AFP, Alpha fetoprotein; BCLC, Barcelona Clinic Liver Cancer; BMI, body mass index

Multivariate analysis for mortality

The multivariate analysis results for mortality are shown in Table 3. Age>65 years (HR = 2.14, 95%CI = 1.37–3.33, p = 0.001), BCLC stage B [(using BCLC stage A as reference), HR = 2.10, 95%CI = 1.16–3.78, p = 0.014], poor tumor differentiation (HR = 2.60, 95%CI = 1.26–5.35, p = 0.01), microvascular invasion (HR = 2.00, 95%CI = 1.21–3.29, p = 0.007), and microsatellite nodules (HR = 3.73, 95%CI = 2.09–6.64, P<0.001) were independent risk factors for mortality.
Table 3

Risk factors for mortality (multivariate analysis).

VariablesHR (95% CI)P
Age, years [median (IQR)]
 <= 65ref
 >652.14 (1.37–3.33)0.001
Bilirubin
 <= 12ref
 >121.39 (0.84–2.31)0.195
AFP (ng/dL)
 <= 40ref
 >401.29 (0.77–2.14)0.331
BCLC staging classification
 00.78 (0.34–1.78)0.558
 Aref
 A10.97 (0.53–1.79)0.930
 B2.10 (1.16–3.78)0.014
Type of resection
 Minorref
 Major1.36 (0.84–2.19)0.211
Tumor Differentiation
 Well or moderateref
 Poor2.60 (1.26–5.35)0.010
Microvascular invasion
 Noref
 Yes2.00 (1.21–3.29)0.007
Microsatellites nodules
 Noref
 Yes3.73 (2.09–6.64)<0.001
R0 resection
 No1.77 (0.77–4.09)0.180
 Yesref

AFP, Alpha fetoprotein; BCLC, Barcelona Clinic Liver Cancer;

AFP, Alpha fetoprotein; BCLC, Barcelona Clinic Liver Cancer;

Discussion

Although the BCLC staging system has been adopted worldwide, there has been skepticism regarding whether the current BCLC classification performs well in terms of prognostic stratification, especially for patients with a single large HCC, which was previously categorized as BCLC stage B [10-12]. However, the patients enrolled in previous studies [10-12] received treatments other than LR, including transcatheter arterial chemoembolization (TACE) and radiofrequency ablation (RFA). Patients who received local regional therapy other than LR may have had inadequate liver function reserve or severe comorbidities that were contraindications for LR. Therefore, it is not appropriate to compare the prognosis of patients with single large HCC and the prognosis of BCLC B patients and patients within Milan criteria in a cohort enrolling patients who received treatments other than LR. A recent international multi-institutional study from western countries reported that prognosis following LR among patients with single large HCC was similar to that among patients with BCLC stage B [7]. In contrast, prognosis following LR among patients with single large HCC was similar to that among patients with BCLC stage A in our study. The discrepancy between the results reported by Tsilimigras et al. [7] and those of our study could be due to the single large HCC and BCLC stage B patients being heterogeneous. Furthermore, the numbers of single large HCC and BCLC stage B cases were limited in our study. However, the most important point in the survival analysis is how to make sure the vital status of patients who were lost of follow up. In the ‘Patients and methods’ section, Tsilimigras et al. did not mention how to check the vital status of patients who were lost of follow up [7]. Theoretically, these patients were categorized as having a censored event (defined as ‘‘0”). If the mortality [which were categorized as having an endpoint event (defined as ‘‘1”)] case number is significant, the result of their study could be different. No details of the clinical-pathological characteristics of the single large HCC patients included in the Tsilimigras et al. study were provided in that study [7]. In our single large HCC cohort, 21.7% of the patients were cirrhotic, 20.7% of the patients had AFP>400 ng/dL, the median (IQR) tumor size was 66 (55–90) mm, 66.3% of the patients had microvascular invasion, and 10.9% of the patients had microsatellite nodules. However, only 2.2% of the patients had poor tumor differentiation and only 4.3% of the patients did not undergo R0 resection. All these variables were associated with OS [13]. Tsilimigras et al. enrolled 157 BCLC-B patients [7]; in contrast, there were only 73 BCLC-B patients enrolled in our study. Furthermore, the BCLC stage B is heterogeneous. In 2012, a panel of experts [14] proposed a classification of BCLC B HCC incorporating the concept of the tumor burden according to the “beyond Milan” and the “within up-to-7” criteria. Other classifications of BCLC stage B were proposed by Kim et al. [15] and the Japanese Society of Transcatheter Hepatic Arterial Embolization [16]. In general, given the debate regarding the prognostic stratification on single large HCC, the discrepancy of data between the present study and the one reported by Tsilimigras et al. [7] could be due to different aetiology or patient characteristics between western and eastern cohorts. The leading etiology of chronic liver disease in HCCs among Asians (e.g. in Taiwan) is HBV. The leading etiologies of chronic liver disease in HCCs in western countries are HCV, alcohol use disorder, and non-alcoholic fatty liver disease (NAFLD) [17]. Significant proportions of patients with non-cirrhotic liver were noted in the study by Tsilimigras et al. (62.4%) [7] and in our study (58.2%). However, the leading etiology of non-cirrhotic liver in our study was HBV infection. In contrast, the leading etiology of non-cirrhotic liver in the Tsilimigras et al. study may have been NAFLD [7]. Tsilimigras et al. enrolled 814 patients in their study. Among those 814 patients, 253 (31.4%) had HCV infections, 134 (16.5%) had HBV infections, and 508 (62.4%) were non-cirrhotic [7]. Tsilimigras et al. did not mention how many patients in their cohort had NAFLD [7]. However, a recent study from the United States reported that NAFLD was the most common liver disease in patients with non-cirrhotic HCC [17]. As has been mentioned in the EASL guidelines, HCC may occur in non-cirrhotic livers in patients with NAFLD [18-20]. Surgical resections in patients with NAFLD are associated with a significant rate of severe complications, although post-operative mortality has remained low. Obesity related co-morbidities such as lung dysfunction, cardiovascular disease, type 2 diabetes mellitus, hypertension, dyslipidemia, and metabolic syndrome are commonly observed in NAFLD patients and are associated with worse prognosis [6]. Tsilimigras et al. enrolled 448 (55%) patients with a Charlson comorbidity index score >3. There were no significant differences in 3- and 5-year survival between the patients with a Charlson comorbidity index score >3 and those with a score ≤3 (p = 0.102). Furthermore, they enrolled 457 (57.7%) patients with an American Society of Anesthesiologists performance score >2. There were no significant differences in 3- and 5-year survival between the patients with an American Society of Anesthesiologists performance score >2 and those with a score ≤2 (p = 0.430). Tsilimigras et al. did not mention how many of the patients in their study had post-surgical mortality or severe complications [7]. 316 (58.2%) of the patients in our cohort were non-cirrhotic. Among those 316 patients, 171 (54.1%) were HBsAg positive, 88 (27.8%) were anti-HCV positive, and 65 (20.6%) were both HBsAg and anti-HCV negative. Among the 65 patients who were both HBsAg and anti-HCV negative, only 4 had alcohol use disorder. In our study, data on post-surgical complications is not included because such data was not available in the HCC registry dataset we used. The etiologies of chronic liver disease listed in our HCC registry data included being HBsAg positive, being anti-HCV positive, and alcohol use disorder, or none of the aforementioned etiologies were present. We defined a habitual drinker as someone with alcohol use disorder in our study. Otherwise, we did not have data indicating how many of the patients had NAFLD. The limited number of patients with alcohol use disorder in our cohort suggests that the reported daily alcohol consumption of the patients may not have been reliable and could have been underestimated. We did not use screening tools [e.g. quantity frequency questionnaires and diaries or the AUDIT (Alcohol Use Disorders Inventory Test [21])] to identify alcohol use disorders among patients with HCC in our daily practice. The strength of the present study is the short study period (2011–2017), in which there were not significant changes in surgical techniques, perioperative care, or anesthetic management, all of which influence the patient survival. Second, in the present single center study, the surgeries were all performed by the same highly experienced surgeons, including Yong CC, Wang CC, Chen CL, Lin CC and Liu YW. This should have limited the effects of the operator factor on surgical mortality. There were only 3 (0.6%) perioperative deaths within 90 days of LR in the present cohort. Third, we checked the vital status of these patients by using Cancers Screening and Tracing Information Integrated System, Taiwan (https://hosplab.hpa.gov.tw/CSTIIS/index.aspx). We could make sure the vital status of every single patient enrolled in this study. There were also some limitations in the present study. First, this is a retrospective study. Second, there were limited numbers of single large HCC and BCLC stage B cases. Third, there was a lack of variables that may be associated with OS in the HCC patients who underwent LR, such as anatomic resection [22] and severe comorbidities. In our hospital, the general principle for LR of HCC followed the recommendations of the EASL guidelines [6], which are based on multi-parametric composite assessment of liver function, the extent of hepatectomy, the future liver remnant, the performance status, and the patient’s comorbidities. Therefore, the number of patients with severe comorbidities who underwent LR should have been limited in our cohort. A systematic review and meta-analysis reported that anatomic resection was associated with a decreased risk of death at 5 years (HR: 0.88, 95% CI: 0.79–0.97, p = 0.01) [22]. However, retrospective studies linking anatomic resections and better outcomes should be interpreted with caution. There is a propensity to perform wider LR in patients with well-preserved liver function [6]. Further, some case–control studies using propensity score matching have failed to show this benefit [23-25]. Fourthly, the HCC registry data used in the present study only recorded the first-line therapy. In conclusion, the results of this study indicated that the prognosis following LR among patients with single large HCC was similar to that among patients with BCLC stage A. The prognosis for single large HCC should thus be considered comparable to that for BCLC stage A.

Raw data of this cohort.

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Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This retrospective clinical study focuses on a controversial issue: should SLHCC (>5 cm) be staged as A or B in the BCLC system? It’s very important because different stages indicate different prognosis and furtherly, lead to different treatment plans for HCC patients. The manuscript is well written with scientific methods. The sample size is large and the data from a large liver surgery center is valid and convincing. The conclusion of this research: the prognosis for SLHCC should be considered comparable to that for BCLC stage A, supports the staging method of BCLC system. In the discussion section, the differences among this study and some other previous studies, such as the one published on Annals of Surgical Oncology (Tsilimigras, D.I., Bagante, F., Sahara, K. et al. Ann Surg Oncol (2019) 26: 3693. ) are well illustrated. Therefore, its clinical significance is obvious, especially for Asian patients with HCC. There are only a few issues that I may need to confirm: 1. What is the exact year when SLHCC was designated as stage A? At the beginning of the introduction, it writes in 2011. But the reference #4 indicates the guideline was published in 2012. It seems conflicted. 2. All the patients enrolled in this research underwent liver resection. Are all the surgeries curable or curative-intent? Are there any palliative operations included? 3. In the discussion section, it writes that the surgeries were all performed by the same highly experienced surgeons, including Yong CC, Wang CC, Chen CL, Lin CC and Liu YW. Do you mean the surgery skill or proficiency is an infecting factor for the different prognosis? 4. In this study, all the data is collected from Asian patients. Do the heterogeneities among Asian population and other ethics make a difference? It’s better to discuss more about it when compare this study with the previous one published on Annals of Surgical Oncology. Although this article is similar to that one in structure, it would make this one more distinctive. 5. There are some details about the statistical methods. For example, when the multivariate analysis for mortality is performed, the results of univariate analysis should be considered. But in this article, all the items included in the univariate analysis seems not derived from multivariate analysis. 6. Since all the statistic methods has been described in the section Statistical Analysis, there is no need to repeat after that. If not, describe it in one section. Please pay attention to the Table 1 on Page 14 and the log rank test on Page 16. 7. The numbers below figure 2 are confusing. The survival curve is clear enough to show the significant differences. What does the number at risk mean? The numbers seem not to match the curve above. Reviewer #2: In the present manuscript by Liu Y-W and co-workers, authors aimed to evaluate the prognosis of patients with a single large HCC undergoing liver resection. The BCLC classification scheme assigns these patients in stage A; however, a recent study from western countries indicated that prognosis following LR among patients with single large HCC was similar to that among patients presenting with BCLC-B HCCs. In the present manuscript, authors analysed retrospectively a cohort of 543 patients and their analysis indicated that that the prognosis following LR among patients with single large HCC was similar to that among patients with BCLC stage A. The study is interesting, and limitations are well acknowledged in the discussion. I have few minor comments. - I noted that only 21.7% of patients in authors’ cohort were cirrhotic. This is different in comparison with western countries where a higher number of HCC arise on a cirrhosis background. A comparison of this aspect could be included in the discussion. Moreover, authors should provide information on aetiology of underlying liver disease, particularly the presence of alcohol consumption or NAFLD. - In general, given the debate regarding the prognostic stratification on single large HCC, the discrepancy of data between the present study and the one reported in ref# 7 could be due to different aetiology or patient characteristics between western and eastern cohorts.; this should be acknowledged. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 6 Mar 2020 Reviewer #1: This retrospective clinical study focuses on a controversial issue: should SLHCC (>5 cm) be staged as A or B in the BCLC system? It’s very important because different stages indicate different prognosis and furtherly, lead to different treatment plans for HCC patients. The manuscript is well written with scientific methods. The sample size is large and the data from a large liver surgery center is valid and convincing. The conclusion of this research: the prognosis for SLHCC should be considered comparable to that for BCLC stage A, supports the staging method of BCLC system. In the discussion section, the differences among this study and some other previous studies, such as the one published on Annals of Surgical Oncology (Tsilimigras, D.I., Bagante, F., Sahara, K. et al. Ann Surg Oncol (2019) 26: 3693. ) are well illustrated. Therefore, its clinical significance is obvious, especially for Asian patients with HCC. There are only a few issues that I may need to confirm: 1. What is the exact year when SLHCC was designated as stage A? At the beginning of the introduction, it writes in 2011. But the reference #4 indicates the guideline was published in 2012. It seems conflicted. Response: Thank you so much for your comments. I have corrected the error in the introduction; it was 2012. Please page 3, 1st paragraph, line 1 and page 5, 2nd paragraph, line 3. 2. All the patients enrolled in this research underwent liver resection. Are all the surgeries curable or curative-intent? Are there any palliative operations included? Response: Thank you again for your comments. All the surgeries were curable or curative-intent. There were no palliative operations included in this study. please see page 3, methods and page 6, 3rd paragraph, line 3. 3. In the discussion section, it writes that the surgeries were all performed by the same highly experienced surgeons, including Yong CC, Wang CC, Chen CL, Lin CC and Liu YW. Do you mean the surgery skill or proficiency is an infecting factor for the different prognosis? Response: Thank you again for your comments. There were only 3 (0.6%) perioperative deaths within 90 days of surgery in the present cohort. Theoretically, the surgery skill or proficiency could be an infecting factor for perioperative mortality. However, we did not find any references regarding this issue. 4. In this study, all the data is collected from Asian patients. Do the heterogeneities among Asian population and other ethics make a difference? It’s better to discuss more about it when compare this study with the previous one published on Annals of Surgical Oncology. Although this article is similar to that one in structure, it would make this one more distinctive. Response: Thank you again for your comments. The leading etiology of chronic liver disease in HCCs among Asians (e.g. in Taiwan) is HBV. The leading etiologies of chronic liver disease in HCCs in western countries are HCV, alcohol use disorder, and non-alcoholic fatty liver disease (NAFLD) [17]. Significant proportions of patients with non-cirrhotic liver were noted in the study by Tsilimigras et al. (62.4%) [7] and in our study (58.2%). However, the leading etiology of non-cirrhotic liver in our study was HBV infection. In contrast, the leading etiology of non-cirrhotic liver in the Tsilimigras et al. study may have been NAFLD [7]. Tsilimigras et al. enrolled 814 patients in their study. Among those 814 patients, 253 (31.4%) had HCV infections, 134 (16.5%) had HBV infections, and 508 (62.4%) were non-cirrhotic [7]. Tsilimigras et al. did not mention how many patients in their cohort had NAFLD [7]. However, a recent study from the United States reported that NAFLD was the most common liver disease in patients with non-cirrhotic HCC [17]. As has been mentioned in the EASL guidelines, HCC may occur in non-cirrhotic livers in patients with NAFLD [18-20]. Surgical resections in patients with NAFLD are associated with a significant rate of severe complications, although post-operative mortality has remained low. Obesity related co-morbidities such as lung dysfunction, cardiovascular disease, type 2 diabetes mellitus, hypertension, dyslipidemia, and metabolic syndrome are commonly observed in NAFLD patients and are associated with worse prognosis [6]. Tsilimigras et al. enrolled 448 (55%) patients with a Charlson comorbidity index score >3. There were no significant differences in 3- and 5-year survival between the patients with a Charlson comorbidity index score >3 and those with a score ≤3 (p= 0.102). Furthermore, they enrolled 457 (57.7%) patients with an American Society of Anesthesiologists performance score >2. There were no significant differences in 3- and 5-year survival between the patients with an American Society of Anesthesiologists performance score >2 and those with a score ≤2 (p=0.430). Tsilimigras et al. did not mention how many of the patients in their study had post-surgical mortality or severe complications [7]. 316 (58.2 %) of the patients in our cohort were non-cirrhotic. Among those 316 patients, 171 (54.1%) were HBsAg positive, 88 (27.8%) were anti-HCV positive, and 65 (20.6%) were both HBsAg and anti-HCV negative. Among the 65 patients who were both HBsAg and anti-HCV negative, only 4 had alcohol use disorder. In our study, data on post-surgical complications is not included because such data was not available in the HCC registry dataset we used. The etiologies of chronic liver disease listed in our HCC registry data included being HBsAg positive, being anti-HCV positive, and alcohol use disorder, or none of the aforementioned etiologies were present. We defined a habitual drinker as someone with alcohol use disorder in our study. Otherwise, we did not have data indicating how many of the patients had NAFLD. Please see page 25-28. 5. There are some details about the statistical methods. For example, when the multivariate analysis for mortality is performed, the results of univariate analysis should be considered. But in this article, all the items included in the univariate analysis seems not derived from multivariate analysis. Response: Thank you again for your comments. We have changed the multivariate method used. The variables with P values less than 0.05 in the univariate analysis were included in the multivariate model, and the result showed that no difference in overall survival was noted for the patients with BCLC stage A versus A1 after adjusting for competing factors (hazard ratio= 0.97, 95% confidence interval= 0.53-1.79; p = 0.93) (Table 3). Please see page 3, last 2 lines, page 8, 1st paragraph, line 6,7 and page 20. 6. Since all the statistic methods has been described in the section Statistical Analysis, there is no need to repeat after that. If not, describe it in one section. Please pay attention to the Table 1 on Page 14 and the log rank test on Page 16. Response: Thank you again for your comments. I have corrected the relevant text accordingly. 7. The numbers below figure 2 are confusing. The survival curve is clear enough to show the significant differences. What does the number at risk mean? The numbers seem not to match the curve above. Response: Thank you again for your comments. I have deleted the number at risk to avoid causing confusion. The number at risk was meant to indicate the number of patients who were still being followed up in our hospital. For example, the number at risk with BCLC stage 0 was 29 at 60 months and 19 at 72 months. However, the overall survival probability curve of BCLC stage 0 was the same during this period. Therefore, the decrease in the number at risk indicated that 10 of the 29 patients were still alive but were lost to follow-up after 60 months (right-censored). That could explain why the number at risk was progressively decreasing even as the overall survival probability was relatively high – that is, most of the patients who were not followed up in our hospital were still alive Reviewer #2: In the present manuscript by Liu Y-W and co-workers, authors aimed to evaluate the prognosis of patients with a single large HCC undergoing liver resection. The BCLC classification scheme assigns these patients in stage A; however, a recent study from western countries indicated that prognosis following LR among patients with single large HCC was similar to that among patients presenting with BCLC-B HCCs. In the present manuscript, authors analysed retrospectively a cohort of 543 patients and their analysis indicated that that the prognosis following LR among patients with single large HCC was similar to that among patients with BCLC stage A. The study is interesting, and limitations are well acknowledged in the discussion. I have few minor comments. - I noted that only 21.7% of patients in authors’ cohort were cirrhotic. This is different in comparison with western countries where a higher number of HCC arise on a cirrhosis background. A comparison of this aspect could be included in the discussion. Moreover, authors should provide information on aetiology of underlying liver disease, particularly the presence of alcohol consumption or NAFLD. Response: Thank you so much for your comments. In our study, 20 (21.7%) of the patients with a single large HCC were cirrhotic. Among the entire cohort, 227 (41.8 %) patients were cirrhotic, and 316 (58.2 %) were non-cirrhotic. The leading etiology of chronic liver disease in HCCs among Asians (e.g. in Taiwan) is HBV. The leading etiologies of chronic liver disease in HCCs in western countries are HCV, alcohol use disorder, and non-alcoholic fatty liver disease (NAFLD) [17]. Significant proportions of patients with non-cirrhotic liver were noted in the study by Tsilimigras et al. (62.4%) [7] and in our study (58.2%). However, the leading etiology of non-cirrhotic liver in our study was HBV infection. In contrast, the leading etiology of non-cirrhotic liver in the Tsilimigras et al. study may have been NAFLD [7]. Tsilimigras et al. enrolled 814 patients in their study. Among those 814 patients, 253 (31.4%) had HCV infections, 134 (16.5%) had HBV infections, and 508 (62.4%) were non-cirrhotic [7]. Tsilimigras et al. did not mention how many patients in their cohort had NAFLD [7]. However, a recent study from the United States reported that NAFLD was the most common liver disease in patients with non-cirrhotic HCC [17]. As has been mentioned in the EASL guidelines, HCC may occur in non-cirrhotic livers in patients with NAFLD [18-20]. Surgical resections in patients with NAFLD are associated with a significant rate of severe complications, although post-operative mortality has remained low. Obesity related co-morbidities such as lung dysfunction, cardiovascular disease, type 2 diabetes mellitus, hypertension, dyslipidemia, and metabolic syndrome are commonly observed in NAFLD patients and are associated with worse prognosis [6]. Tsilimigras et al. enrolled 448 (55%) patients with a Charlson comorbidity index score >3. There were no significant differences in 3- and 5-year survival between the patients with a Charlson comorbidity index score >3 and those with a score ≤3 (p= 0.102). Furthermore, they enrolled 457 (57.7%) patients with an American Society of Anesthesiologists performance score >2. There were no significant differences in 3- and 5-year survival between the patients with an American Society of Anesthesiologists performance score >2 and those with a score ≤2 (p=0.430). Tsilimigras et al. did not mention how many of the patients in their study had post-surgical mortality or severe complications [7]. 316 (58.2 %) of the patients in our cohort were non-cirrhotic. Among those 316 patients, 171 (54.1%) were HBsAg positive, 88 (27.8%) were anti-HCV positive, and 65 (20.6%) were both HBsAg and anti-HCV negative. Among the 65 patients who were both HBsAg and anti-HCV negative, only 4 had alcohol use disorder. In our study, data on post-surgical complications is not included because such data was not available in the HCC registry dataset we used. The etiologies of chronic liver disease listed in our HCC registry data included being HBsAg positive, being anti-HCV positive, and alcohol use disorder, or none of the aforementioned etiologies were present. We defined a habitual drinker as someone with alcohol use disorder in our study. Otherwise, we did not have data indicating how many of the patients had NAFLD. The limited number of patients with alcohol use disorder in our cohort suggests that the reported daily alcohol consumption of the patients may not have been reliable and could have been underestimated. We did not use screening tools [e.g. quantity frequency questionnaires and diaries or the AUDIT (Alcohol Use Disorders Inventory Test [21])] to identify alcohol use disorders among patients with HCC in our daily practice. Please page 25-28 and Table 1. - In general, given the debate regarding the prognostic stratification on single large HCC, the discrepancy of data between the present study and the one reported in ref# 7 could be due to different aetiology or patient characteristics between western and eastern cohorts.; this should be acknowledged. Response: Thank you again for your comments. I have acknowledged this important point of view in the revised text. Please see page 25, 2nd paragraph. Submitted filename: response to reviewers.docx Click here for additional data file. 12 Mar 2020 Prognosis after resection of single large hepatocellular carcinoma:results from an Asian high-volume liver surgery center PONE-D-20-02819R1 Dear Dr. Yi-Hao Yen, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Gianfranco D. Alpini Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: (No Response) Reviewer #2: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No 16 Mar 2020 PONE-D-20-02819R1 Prognosis after resection of single large hepatocellular carcinoma: results from an Asian high-volume liver surgery center Dear Dr. Yen: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Gianfranco D. Alpini Academic Editor PLOS ONE
  25 in total

1.  Primary carcinoma of the liver: a study of 100 cases among 48,900 necropsies.

Authors:  H A EDMONDSON; P E STEINER
Journal:  Cancer       Date:  1954-05       Impact factor: 6.860

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

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

3.  Anatomic versus nonanatomic hepatectomy for a solitary hepatocellular carcinoma : a case-controlled study with propensity score matching.

Authors:  Yukiyasu Okamura; Takaaki Ito; Teiichi Sugiura; Keita Mori; Katsuhiko Uesaka
Journal:  J Gastrointest Surg       Date:  2014-09-12       Impact factor: 3.452

4.  Characteristics, aetiologies and trends of hepatocellular carcinoma in patients without cirrhosis: a United States multicentre study.

Authors:  Samer Gawrieh; Lara Dakhoul; Ethan Miller; Andrew Scanga; Andrew deLemos; Carla Kettler; Heather Burney; Hao Liu; Hamzah Abu-Sbeih; Naga Chalasani; Julia Wattacheril
Journal:  Aliment Pharmacol Ther       Date:  2019-09-01       Impact factor: 8.171

Review 5.  EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma.

Authors: 
Journal:  J Hepatol       Date:  2018-04-05       Impact factor: 25.083

6.  Non-alcoholic fatty liver disease progresses to hepatocellular carcinoma in the absence of apparent cirrhosis.

Authors:  Judith Ertle; Alexander Dechêne; Jan-Peter Sowa; Volker Penndorf; Kerstin Herzer; Gernot Kaiser; Jörg F Schlaak; Guido Gerken; Wing-Kin Syn; Ali Canbay
Journal:  Int J Cancer       Date:  2011-03-14       Impact factor: 7.396

7.  Prognosis of patients with intermediate-stage hepatocellular carcinomas based on the Child-Pugh score: subclassifying the intermediate stage (Barcelona Clinic Liver Cancer stage B).

Authors:  Koichiro Yamakado; Shiro Miyayama; Shozo Hirota; Kimiyoshi Mizunuma; Kenji Nakamura; Yoshitaka Inaba; Satoshi Yamamoto; Kunihiro Matsuo; Norifumi Nishida; Takeshi Aramaki; Hiroshi Anai; Shinichi Kora; Shigeo Oikawa; Ken Watanabe; Taku Yasumoto; Kinya Furuichi; Masato Yamaguchi
Journal:  Jpn J Radiol       Date:  2014-09-12       Impact factor: 2.374

8.  Hepatocellular carcinomas in patients with metabolic syndrome often develop without significant liver fibrosis: a pathological analysis.

Authors:  Valérie Paradis; Stéphane Zalinski; Emna Chelbi; Nathalie Guedj; Françoise Degos; Valérie Vilgrain; Pierre Bedossa; Jacques Belghiti
Journal:  Hepatology       Date:  2009-03       Impact factor: 17.425

9.  Prognostic value of Ishak fibrosis stage: findings from the hepatitis C antiviral long-term treatment against cirrhosis trial.

Authors:  James E Everhart; Elizabeth C Wright; Zachary D Goodman; Jules L Dienstag; John C Hoefs; David E Kleiner; Marc G Ghany; A Scott Mills; S Russell Nash; Sugantha Govindarajan; Thomas E Rogers; Joel K Greenson; Elizabeth M Brunt; Herbert L Bonkovsky; Chihiro Morishima; Heather J Litman
Journal:  Hepatology       Date:  2010-02       Impact factor: 17.425

10.  Survival Analysis of Single Large (>5 cm) Hepatocellular Carcinoma Patients: BCLC A versus B.

Authors:  Yuri Cho; Dong Hyun Sinn; Su Jong Yu; Geum Youn Gwak; Ji Hoon Kim; Yang Jae Yoo; Dae Won Jun; Tae Yeob Kim; Hyo Young Lee; Eun Ju Cho; Jeong-Hoon Lee; Yoon Jun Kim; Jung-Hwan Yoon
Journal:  PLoS One       Date:  2016-11-15       Impact factor: 3.240

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  2 in total

1.  Single Large Nodule (>5 cm) Prognosis in Hepatocellular Carcinoma: Kinship with Barcelona Clinic Liver Cancer (BCLC) Stage A or B?

Authors:  Li Wan; Ding-Hui Dong; Xiao-Ning Wu; Hong-Fan Ding; Qiang Lu; Yong Tian; Xu-Feng Zhang; Wenzhi Li
Journal:  Med Sci Monit       Date:  2020-10-16

2.  Adherence to the modified Barcelona Clinic Liver Cancer guidelines: Results from a high-volume liver surgery center in East Asias.

Authors:  Yi-Hao Yen; Yu-Fan Cheng; Jing-Houng Wang; Chih-Che Lin; Chien-Hung Chen; Chih-Chi Wang
Journal:  PLoS One       Date:  2021-03-25       Impact factor: 3.240

  2 in total

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