Literature DB >> 29228622

Comparison between liver resection and liver transplantation on outcomes in patients with solitary hepatocellular carcinoma meeting UNOS criteria: a population-based study of the SEER database.

Anli Yang1, Weiqiang Ju1, Xiaopeng Yuan1, Ming Han1, Xiaoping Wang1, Zhiyong Guo1, Xiaoli Wei2, Dongping Wang1, Xiaofeng Zhu1, Linwei Wu1, Xiaoshun He1.   

Abstract

Liver resection (LR) and liver transplantation (LT) are potential curative treatment methods for early hepatocellular carcinoma (HCC). However, it is controversial which treatment is more beneficial to patients with solitary HCC meeting the United Network for Organ Sharing (UNOS) criteria (single lesion, diameter≤50mm, no vascular invasion, no extrahepatic metastasis). We retrieved patients with solitary HCC meeting UNOS criteria diagnosed between 2004-2013 from the Surveillance Epidemiology and End Results (SEER) database. Multivariate Cox proportional hazards regression models were used to evaluate the impact of surgery type (LR/LT) on overall survival (OS) and disease-specific survival (DSS) in both the whole study group and subgroups. Our analyses show that LT Patients had significantly superior OS (Adjusted HR (95% CI): 0.39 [0.26-0.59]) and DSS (Adjusted HR (95% CI): 0.19 [0.10-0.35]) than those receiving LR, although compared with the 288 patients receiving LR, the 258 patients receiving LT had younger age, smaller tumor size, and higher fibrosis score (P<0.001). Subgroup analyses identified significant interactions between surgery type (LR/LT) and gender (Male/Female) in both OS (P=0.02) and DSS (P=0.02). Male patients benefit more from LT compared with LR in both OS (Adjusted HR (95% CI): 0.29 [0.18-0.47]) and DSS (Adjusted HR (95% CI): 0.10 [0.05-0.21]), but there is no difference between patients receiving LT and LR in female patients. In conclusion, LT is associated with superior survival than LR in patients with solitary HCC meeting UNOS criteria. Moreover, male patients benefits more from LT than LR, while female patients do not show different outcomes between the two procedures.

Entities:  

Keywords:  UNOS criteria; hepatocellular carcinoma; liver resection; liver transplantation

Year:  2017        PMID: 29228622      PMCID: PMC5722574          DOI: 10.18632/oncotarget.22134

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

As one of the leading causes of cancer-related mortality in the United States, hepatocellular carcinoma (HCC), along with intrahepatic cholangiocellular carcinoma, ranks fifth and eighth among men and women, respectively [1]. According to statistics based on Surveillance Epidemiology and End Results (SEER) registry data, the age adjusted incidence rate for HCC is at least 6 per 100,000 in the United States [2]. Even worse, the future burden of HCC is estimated to increase [2]. The detection rate of early-stage HCC has increased as a consequence of screening for high risk groups, such as hepatitis B virus-infected patients [3]. Correspondingly, a SEER registry data based analysis disclosed that the diagnosis of HCC with tumors ≤5.0 cm in diameter has significantly increased from 2000 to 2010, which has surpassed the diagnosis of HCC with large tumors [4]. The increased proportion of early HCC stresses the demand of choosing curative treatments appropriately specifically for this tumor type. However, the optimal treatment for early-stage HCC has long been debated. Three treatment modalities have been considered to be potential options, including radiofrequency ablation (RFA), liver resection (LR) and liver transplantation (LT) [5]. The application of RFA is largely limited by tumor size [6]. RFA is reported to be inferior to LR in terms of recurrence-free survival and overall survival (OS). In addition, it is found to be worse than LT in terms of OS [7, 8]. Prospective randomized studies rarely focus on prognostic differences between patients receiving LR and LT. Related retrospective studies are mainly small in sample size and without uniform eligibility criteria for some important prognostic pathological characteristics (e.g., vascular invasion, lesion number and tumor size), resulting in controversial conclusions [9-11]. Even though LT offers an excellent curative chance for patients with specific criteria, options for patients are limited due to worldwide critical donor shortage [5, 12]. In view of the controversy, we compared outcomes of LR and LT among patients with solitary HCC meeting the United Network for Organ Sharing (UNOS) criteria (single lesion, diameter≤50mm, no vascular invasion, no extrahepatic metastasis). We also explored whether one treatment outperforms the other in subgroup examinations.

RESULTS

Demographic and clinicopathologic differences

Among 546 patients with solitary HCC meeting UNOS criteria, there were 52.7% (N=288) receiving LR and 47.3% (N=258) receiving LT. There were 74.9% male patients and 25.1% female patients (a male:female ratio of 3:1). The number of patients enrolled had been slightly increasing from 2004 to 2013. There were 55.3% patients with an elevated alpha fetal protein (AFP) level and the majority of patients (71.2%) showed severe liver fibrosis or cirrhosis (fibrosis score 5-6). Regarding ethnicity and marital status, the study population was dominated by white (62.8%) and married (64.7%) patients, respectively. The distribution of study population by basic demographic and clinicopathologic characteristics is shown in Table 1.
Table 1

Demographic and clinicopathologic differences between patients receiving liver resection and liver transplantation.

CharacteristicsTotal, no. (%)Surgery typeP value
LR, no. (%)LT, no. (%)
Age (years)
 Median (1st-3rd quartile)59 (54-65)62 (56-68)57 (52-62)
 ≤59279 (51.1)114 (39.6)165 (64.0)<0.001
 >59267 (48.9)174 (60.4)93 (36.0)
Sex0.46
 Male409 (74.9)212 (73.6)197 (76.4)
 Female137 (25.1)76 (26.4)61 (23.6)
Year of diagnosis0.02
 2004-2007155 (28.4)72 (25.0)83 (32.2)
 2008-2010181 (33.1)89 (30.9)92 (35.6)
 2011-2013210 (38.5)127 (44.1)83 (32.2)
Grade0.01
 III+IV72 (13.2)44 (15.3)28 (10.9)
 II290 (53.1)162 (56.2)128 (49.6)
 I184 (33.7)82 (28.5)102 (39.5)
Tumor size (mm)<0.001
 ≤20177 (32.4)58 (20.1)119 (46.1)
 21-30166 (30.4)97 (33.7)69 (26.7)
 31-50203 (37.2)133 (46.2)70 (27.2)
AFP0.09
 Normal244 (44.7)119 (41.3)125 (48.4)
 Elevated302 (55.3)169 (58.7)133 (51.6)
Fibrosis score<0.001
 0-4157 (28.8)133 (46.2)24 (9.3)
 5-6389 (71.2)155 (53.8)234 (90.7)
Race<0.001
 American Indian/Alaska Native7 (1.3)4 (1.4)3 (1.2)
 White343 (62.8)142 (49.3)201 (77.9)
 Black58 (10.6)36 (12.5)22 (8.5)
 Asian or Pacific Islander138 (25.3)106 (36.8)32 (12.4)
Marriage status0.002
 Widowed28 (5.1)23 (8.0)5 (1.9)
 Married353 (64.7)173 (60.1)180 (69.8)
 Others165 (30.2)92 (31.9)73 (28.3)

Abbreviation: LR, liver resection; LT, liver transplantation; AFP, alpha fetal protein.

Abbreviation: LR, liver resection; LT, liver transplantation; AFP, alpha fetal protein. Demographic and clinicopathololgic characteristics were compared between patients receiving LR and LT (Table 1). The median ages of patients receiving LR and LT were 62 and 57 years, respectively. Patients receiving LR were significantly older than those receiving LT (P<0.001). Male and female patients were evenly distributed between LR and LT group (P=0.46). From 2004 to 2013, the proportion of patients was increasing in LR group while decreasing in LT group (P=0.02). Patients receiving LR had significantly higher tumor grade (P=0.01) and larger tumor size (P<0.001), but lower fibrosis score (P<0.001). No remarkable difference was found in AFP level between LR and LT group (P=0.09). Significantly more white (P<0.001) and married (P=0.002) patients performed LT.

Impact of OS by surgery type (LR/LT)

The median OS of patients receiving LR was 69.0 months with the 95% confidence interval (CI) of 50.7-87.3 months, while the median OS of those receiving LT was not reached. The mean OS (95%CI) of patients receiving LR and LT was 67.6 (61.8-73.4) months and 91.9 (85.8-97.9) months, respectively. The OS of patients receiving LT was significantly superior to that of patients receiving LR based on univariate analysis (hazard ratio [HR] [95%CI]: 0.50 [0.35-0.70], P<0.001, Figure 1). We considered year of diagnosis, age at diagnosis, sex, tumor grade, tumor size, AFP level, fibrosis score, race, and marriage status for multivariable Cox regression model. Based on multivariate analysis, only surgery type (LR/LT) and fibrosis score (0-4/5-6) were significant and independent prognostic factors for OS. After being adjusted by year of diagnosis, age at diagnosis, sex, tumor grade, tumor size, AFP level, fibrosis score, race, and marriage status, patients receiving LT still had dramatically better OS with an adjusted HR (95%CI) of 0.39 (0.26-0.59) (P <0.001). Details of multivariate analyses are shown in Table 2.
Figure 1

Outcomes of patients with solitary HCC meeting UNOS criteria stratified by surgery type (LR/LT)

(A) OS; (B) DSS. Patients receiving LT had significantly superior OS to patients receiving LR (hazard ratio [HR] [95%CI]: 0.50 [0.35-0.70], P<0.001). Patients receiving LT also had significantly superior DSS to patients receiving LR (HR [95%CI]: 0.25 [0.15-0.43], P<0.001). Abbreviations: HCC, hepatocellular carcinoma; UNOS, the United Network for Organ Sharing; LR, liver resection; LT, liver transplantation; OS, overall survival; DSS, disease-sepecific survival.

Table 2

Multivariate Cox proportional hazards regression analyses for the impact of surgery type on OS and DSS.

CharacteristicsOSDSS
Adjusted HR (95% CI)P valueNo. (%)Adjusted HR (95% CI)P value
Surgery type (LR/LT)0.39 (0.26-0.59)<0.001250 (50.9)/241 (49.1)0.19 (0.10-0.35)<0.001
Age (≤59/>59)1.38 (0.97-1.97)0.07267 (54.4)/224 (45.6)1.03 (0.62-1.71)0.91
Sex (Male/Female)1.18 (0.80-1.74)0.41376 (76.6)/115 (23.4)1.21 (0.70-2.12)0.50
Year of diagnosis0.300.83
2004-20071 (Reference)136 (27.7)1 (Reference)
2008-20100.84 (0.56-1.25)0.39171 (34.8)0.88 (0.48-1.60)0.66
2011-20130.64 (0.36-1.14)0.13184 (37.5)1.07 (0.48-2.41)0.87
Grade0.560.08
III+IV1 (Reference)64 (13.0)1 (Reference)
II0.76 (0.45-1.29)0.32258 (52.5)0.47 (0.24-0.91)0.03
I0.75 (0.43-1.31)0.32169 (34.4)0.54 (0.26-1.10)0.09
Tumor size (mm)0.570.31
≤201 (Reference)160 (32.6)1 (Reference)
21-301.23 (0.80-1.90)0.34149 (30.3)1.44 (0.74-2.82)0.28
31-501.04 (0.67-1.60)0.87182 (37.1)1.65 (0.87-3.12)0.12
AFP (Normal/ Elevated)0.77 (0.54-1.09)0.14214 (43.6)/277 (56.4)0.72 (0.43-1.20)0.20
Fibrosis score (0-4/5-6)0.54 (0.36-0.82)0.003133 (27.1)/358 (72.9)0.37 (0.21-0.6)0.001
Race0.120.53
American Indian/Alaska Native1 (Reference)5 (1.0)1 (Reference)
White0.38 (0.11-1.26)0.11307 (62.5)0.53 (0.07-4.09)0.55
Black0.42 (0.12-1.48)0.1753 (10.8)0.69 (0.08-5.71)0.73
Asian or Pacific Islander0.27 (0.08-0.92)0.04126 (25.6)0.40 (0.05-3.24)0.39
Marriage status0.980.69
Widowed1 (Reference)19 (3.9)1 (Reference)
Married1.04 (0.50-2.16)0.92322 (65.6)1.27 (0.42-3.87)0.68
Others1.00 (0.47-2.11)0.99150 (30.5)1.00 (0.33-3.07)0.99

Abbreviation: OS, overall survival; DSS, disease-specific survival; HR, hazard ratio; CI, confidence interval; LR, liver resection; LT, liver transplantation; AFP, alpha fetal protein.

Outcomes of patients with solitary HCC meeting UNOS criteria stratified by surgery type (LR/LT)

(A) OS; (B) DSS. Patients receiving LT had significantly superior OS to patients receiving LR (hazard ratio [HR] [95%CI]: 0.50 [0.35-0.70], P<0.001). Patients receiving LT also had significantly superior DSS to patients receiving LR (HR [95%CI]: 0.25 [0.15-0.43], P<0.001). Abbreviations: HCC, hepatocellular carcinoma; UNOS, the United Network for Organ Sharing; LR, liver resection; LT, liver transplantation; OS, overall survival; DSS, disease-sepecific survival. Abbreviation: OS, overall survival; DSS, disease-specific survival; HR, hazard ratio; CI, confidence interval; LR, liver resection; LT, liver transplantation; AFP, alpha fetal protein.

Impact of disease-specific survival (DSS) by surgery type (LR/LT)

To reduce the impact of comorbidities on the survival differences between patients receiving LR and LT, we performed univariate and multivariate Cox proportional hazard regression analyses for DSS. The median DSS (95%CI) of both groups was not reached, and the mean DSS (95%) was 77.5 (71.1-83.9) months in patients receiving LR and 108.2 (103.5-112.9) months in those receiving LT. The DSS in patients receiving LT was likewise significantly superior to those receiving LR in univariate analysis (HR [95%CI]: 0.25 [0.15-0.43], P<0.001, Figure 1). The results of multivariate analysis for DSS were similar to those for OS. Patients receiving LT had a prominently superior DSS compared with patients receiving LR after being adjusted by the aforementioned confounding factors (adjusted HR [95%CI]: 0.19 [0.10-0.35], P<0.001, Table 2).

Sex based disparities in the impact of surgery type on OS and DSS

Next, we examined survival differences between patients receiving LR and LT in subgroups (Figure 2 for OS and Figure 3 for DSS). Consistently superior OS for patients receiving LT was identified in subgroups stratified by age (≤59/>59 years), tumor grade (III+IV/II/I), tumor size (≤20/21-30/31-50mm), and AFP level (Normal/Elevated) from univariate and multivariate analyses. It is worth noting that there was a significant interaction between surgery type (LR/LT) and sex (Male/Female) (Pinteraction=0.02). A significantly superior OS for patients receiving LT (mean OS [95%CI]: 95.8 [89.4-102.3]) compared to those receiving LR (mean OS [95%CI]: 67.0 [60.2-73.7]) was identified in males (adjusted HR [95%CI]: 0.29 [0.18-0.47], P<0.001). While no difference in OS was found between patients receiving LT (mean OS [95%CI]: 71.0 [9.5-82.6]) and LR (mean OS [95%CI]: 95.8 [89.4-102.3]) in females (adjusted HR [95%CI]: 0.89 [0.36-2.18], P=0.79) (Figure 4). In addition, there was no difference in OS between patients receiving LT (mean OS [95%CI]: 72.0 [53.6-90.4]) and LR (mean OS [95%CI]: 79.2 [71.2-87.2]) in those with normal to moderate liver fibrosis (fibrosis score 0-4) (adjusted HR [95%CI]: 1.76 [0.70-4.39], P=0.23). In contrast, in patients with severe liver fibrosis or cirrhosis (fibrosis score 5-6), those receiving LT (mean OS [95%CI]: 93.8 [87.5-100.0]) had significant superior OS to those receiving LR (mean OS [95%CI]: 57.2 [49.3-65.0]). A significant interaction was also identified between surgery type (LR/LT) and fibrosis score (0-4/5-6) (Pinteraction=0.001) (Supplementary Figure 1). Details of the subgroup analyses for differences in OS between patients receiving LR and LT are shown in Figure 2.
Figure 2

Subgroup analyses for the impact of surgery type (LR/LT) on OS

Comparisons of the OS between patients receiving LR and LT were conducted in subgroups stratified by clinicopathologic factors. LR group was used as the reference for adjusted HR (95%CI). The factors considered for the multivariable Cox regression model included year of diagnosis, age at diagnosis, sex, tumor grade, tumor size, AFP level, fibrosis score, race, and marriage status. Abbreviations: OS, overall survival; LR, liver resection; LT, liver transplantation; HR, hazard ratio; CI, confidence interval; AFP, alpha fetal protein.

Figure 3

Subgroup analyses for the impact of surgery type (LR/LT) on DSS

Comparisons between the DSS for patients receiving LR and LT were conducted in subgroups stratified by clinicopathologic factors. LR was used as the reference group for adjusted HR (95%CI). The factors considered for the multivariable Cox regression model included year of diagnosis, age at diagnosis, sex, tumor grade, tumor size, AFP level, fibrosis score, race, and marriage status. Abbreviations: DSS, disease-specific survival; LR, liver resection; LT, liver transplantation; HR, hazard ratio; CI, confidence interval; AFP, alpha fetal protein.

Figure 4

Outcomes of patients stratified by surgery type (LR/LT) and sex (male/female)

(A) OS, Male; (B) OS, Female; (C) DSS, Male; (D), DSS, Female. Abbreviations: LR, liver resection; LT, liver transplantation; OS, overall survival; DSS, disease-free survival.

Subgroup analyses for the impact of surgery type (LR/LT) on OS

Comparisons of the OS between patients receiving LR and LT were conducted in subgroups stratified by clinicopathologic factors. LR group was used as the reference for adjusted HR (95%CI). The factors considered for the multivariable Cox regression model included year of diagnosis, age at diagnosis, sex, tumor grade, tumor size, AFP level, fibrosis score, race, and marriage status. Abbreviations: OS, overall survival; LR, liver resection; LT, liver transplantation; HR, hazard ratio; CI, confidence interval; AFP, alpha fetal protein.

Subgroup analyses for the impact of surgery type (LR/LT) on DSS

Comparisons between the DSS for patients receiving LR and LT were conducted in subgroups stratified by clinicopathologic factors. LR was used as the reference group for adjusted HR (95%CI). The factors considered for the multivariable Cox regression model included year of diagnosis, age at diagnosis, sex, tumor grade, tumor size, AFP level, fibrosis score, race, and marriage status. Abbreviations: DSS, disease-specific survival; LR, liver resection; LT, liver transplantation; HR, hazard ratio; CI, confidence interval; AFP, alpha fetal protein.

Outcomes of patients stratified by surgery type (LR/LT) and sex (male/female)

(A) OS, Male; (B) OS, Female; (C) DSS, Male; (D), DSS, Female. Abbreviations: LR, liver resection; LT, liver transplantation; OS, overall survival; DSS, disease-free survival. In subgroup analyses for DSS, only sex (Male/Female) was identified to have a significant interaction with surgery type (LR/LT) on DSS (Pinteraction=0.01). In male patients, there was a notably superior DSS in those receiving LT (mean DSS [95%CI]: 111.4 [107.0-115.9]) to those receiving LR (mean DSS [95%CI]: 75.3 [68.0-82.7]) (adjusted HR [95%CI]: 0.10 [0.05-0.21], P<0.001). While no difference was found in female patients (Figure 4). The differences in DSS stratified by surgery type (LR/LT) and fibrosis score (0-4/5-6) are shown in Supplementary Figure 1. When the impact of comorbidities was excluded in the analyses of cancer-specific outcomes, the interaction between fibrosis score (0-4/5-6) and surgery type (LR/LT) was reduced, which became non-significant for DSS (Pinteraction=0.16, Figure 3).

DISCUSSION

To our knowledge, this is the first study to compare the outcomes of LR and LT in patients with solitary HCC who met UNOS criteria. The UNOS criteria specifies that patients who met the criteria should be candidates for LT. However, there has been no strong clinical evidence supporting this proposal. No prospective randomized studies has been conducted to compare the effectiveness of LR and LT in this type of patients. Though several retrospective studies focused on this issue, their results were controversial due to different eligibility criteria, especially in tumor size, lesion number and vascular invasion [9–11, 13, 14]. According to a meta-analysis comparing outcomes of LR and LT in patients with early HCC, LT group had a survival advantage in certain settings. Nevertheless, the conclusion was not solid enough due to the limited number of studies included [15]. Therefore, we brought a relatively large number of strictly screened patients, who were diagnosed with solitary HCC meeting UNOS criteria into the current study in order to understand whether patients receiving LT could get survival advantage compared with those receiving LR. In the first-line treatment of early HCC, the selection of three main potential curative therapies (RFA, LR and LT) had been intensively investigated [5, 8, 16–18]. Factors affecting selection included tumor characteristics (i.e., location, size, lesion number, vascular invasion) and patient status (i.e., performance status, liver function, portal hypertension, Child-Pugh score). Additionally, some external factors also had significant impact on treatment selection. One of the most notable ones was the contradiction between increasing demand of LT and the scarcity of organ donors [19]. Taking both urgency and cost-effectiveness into consideration, LT used to be recommended as a second-line treatment for very early HCC [5, 20–23]. But actually, as demonstrated by reports from other centers and the current study [8, 10], LT provided more survival benefit for very early HCC than LR and RFA. The key to resolve the issue of contradiction between supply and demand may be to identify the subgroups of patients likely to benefit the most from LT, so that we could make better use of the limited resource of graft. In the subgroup analyses of our study, significant interactions between gender and surgery type were demonstrated in both OS and DSS. In patients with solitary HCC meeting UNOS criteria, we found that male patients benefit more from LT compared with LR, but female patients do not. One potential reason for this discrepancy may be gender disparity in immunity. Females had been described as more “immunogenic” than males [24], while men were more inclined to achieve immune tolerance after transplantation [25]. Similarly, female gender was reported to be a risk factor for graft loss in patients transplanted for hepatitis C virus (HCV)-related cirrhosis [26, 27]. Female patients also had lower rate of sustained response and higher rate of relapse in anti-HCV treatment compared with male patients [28]. In a prospective cohort study of patients receiving LT in Italy, five-year graft survival was significantly lower in HCV-positive patients and recipient female gender was an independent indicator of graft loss, but all additional mortality in females was found to be attributable to severe HCV recurrence [26]. Additionally, an interaction between female gender and HCV infection was identified in risk of chronic renal failure after LT [29]. Thus, it seemed that there could be negative interactions between female gender and HCV infection in patients receiving LT. However, this couldn’t be analyzed in the current study due to lack of etiology data of HCC in SEER database. Moreover, according to a study on the impact of gender on survival of patients with HCC, female patients had significantly superior outcomes compared with male patients in those receiving LR, but not in those receiving LT [30]. This finding is consistent with gender disparity identified in our study. However, the underlying mechanism is still unclear. It is very important to verify the gender disparity in the impact of surgery types on outcomes of patients with early HCC before it can be translated into clinical practice. LT was considered to be the optimal modality for treatment of HCC, because it extirpated both the tumor and the underlying liver disease. In the current study, LT was found to be a better option for patients with severe fibrosis or cirrhosis (fibrosis score 5-6), but LT was not superior to LR for patients with none to moderate fibrosis (fibrosis score 0-4). This is in accordance with previous studies [31-33]. When the impact of comorbidities was excluded in the analyses for DSS, the interaction between fibrosis score (0-4/5-6) and surgery type (LR/LT) was diminished. LT could cure the underlying liver diseases, thus remitting the relevant comorbidities, possibly making it superior to LR in OS. In other words, our study supports the principle of LT precedence in HCC patient with cirrhosis. However, the cause of fibrosis or liver cirrhosis was not analyzed in the current study due to lack of relevant data in SEER database. The retrospective nature is one of the limitations of this study. However, there has been no prospective randomized clinical trials to-date on this issue. Additionally, because some important prognostic factors were not recorded in SEER database, such as comorbidities, liver function, physical status, Child-Pugh classifications, Model for End-Stage Liver Disease (MELD) score, and etiology factors, we adopted DSS as a secondary outcome to isolate the impact of surgery type on HCC-specific outcomes. There was no information on HCC recurrence in SEER database, thus we couldn’t analyze the therapy of HCC recurrence and re-resection rate in the current study. Furthermore, only those receiving LR or LT were included for analyses, some complicated cases, such as liver resection as bridging therapy to transplantation, were not analyzed in the current study. These issues might be clarified in future investigations with more detailed information. In conclusion, with a relatively large study population, our study demonstrated that LT was superior to LR on prognosis of patients with solitary HCC meeting UNOS criteria. Moreover, male patients and patients with severe fibrosis or cirrhosis were possibly optimal subgroups who could benefit the most from LT.

MATERIALS AND METHODS

Ethics statement

This study was deemed exempt from institutional review board approval by The First Affiliated Hospital of Sun Yat-sen University and Sun Yat-sen University Cancer Center, thus informed consent was waived. This study was conducted in accordance with the ethical standards of the World Medical Association Declaration of Helsinki.

Database and patient selection

The SEER database, the largest publicly available cancer dataset, is a population-based cancer registry across several disparate geographic regions in the United States. The SEER research data include cancer incidence and demographic information tabulated by age, sex, race/ethnicity, year of diagnosis and geographic region. In addition, some clinicopathologic characteristics are also included. The SEER research database from 1973 to 2013 (Nov 2015 Submission) was retrieved for the current study. There were 83,565 patients diagnosed with HCC retrieved from SEER database. We then enrolled patients not younger than 18 years old and diagnosed from 2004 to 2013. Furthermore, only those with solitary tumors, meeting UNOS criteria and receiving LR or LT were included for analysis. Patients lacking important demographic and clinicopathologic information were excluded. Patients receiving radiation or with incomplete survival data were also excluded. Detailed inclusion and exclusion criteria and the numbers of patients are shown in Figure 5. At the end, 546 patients were included in this study.
Figure 5

The flow chart for selection of study population

Abbreviations: SEER, Surveillance, Epidemiology, and End Results; ICD-O-3, international classification of diseases for oncology, 3rd edition; AJCC, American Joint Committee on Cancer; AFP, alpha fetal protein.

The flow chart for selection of study population

Abbreviations: SEER, Surveillance, Epidemiology, and End Results; ICD-O-3, international classification of diseases for oncology, 3rd edition; AJCC, American Joint Committee on Cancer; AFP, alpha fetal protein.

Definitions

The diagnosis of HCC was identified with international classification of diseases for oncology, 3rd edition [ICD-O-3] site code C22.0 and histologic type code 8170-8175. The lesion number and the status of vascular invasion were identified using the codes of CS extension (2004+) (http://web2.facs.org/cstage0205/liver/Liver_bbc.html). The type of surgery was converted by the codes of RX Summ-Surg Prim Site (1998+): LR: 20 to 25, 30, 36, 37, 50, 51, and 52; LT: 61. Patients receiving LR or LT plus other therapies were excluded. Detailed definitions of each variable are shown in Supplementary Table 1.

Outcomes

The primary outcome was OS, which was defined as the time interval between the diagnosis of HCC and the death of any cause. Live patients were censored at the last recorded follow-up time. Additionally, because patients with HCC were frequently presented with life-threatening comorbidities, DSS was used as a secondary outcome, which was defined as time interval between the diagnosis of HCC and the death attributed to HCC. Deaths from other causes were calculated as censored cases.

Statistical analyses

The statistical analyses were performed with SPSS for Windows V.13.0. (SPSS Inc., Chicago, IL, USA). The demographic and clinicopathologic differences between patients receiving LR and LT were evaluated with chi-square test or Kruskal-Wallis H test based on the type of the data and comparisons. Survival curves were plotted by the Kaplan-Meier method and compared using the log-rank test. Univariate and multivariate Cox proportional hazards regression models were used to evaluate the impact of surgery type (LR/LT) on OS and DSS. Multivariate Cox proportional hazards regression analyses were adjusted by year of diagnosis, age at diagnosis, sex, tumor grade, tumor size, AFP level, fibrosis score, race, and marriage status. A likelihood ratio test was applied to examine the interactions between surgery type (LR/LT) and clinicopathologic characteristics on OS and DSS.
  33 in total

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Authors:  Xingshun Qi; Yulong Tang; Dan An; Ming Bai; Xiaolei Shi; Juan Wang; Guohong Han; Daiming Fan
Journal:  J Clin Gastroenterol       Date:  2014 May-Jun       Impact factor: 3.062

2.  Cost-effectiveness analysis of liver resection versus transplantation for early hepatocellular carcinoma within the Milan criteria.

Authors:  Kheng Choon Lim; Vivian W Wang; Fahad J Siddiqui; Luming Shi; Edwin S Y Chan; Hong Choon Oh; Say Beng Tan; Pierce K H Chow
Journal:  Hepatology       Date:  2014-05-29       Impact factor: 17.425

3.  Intention to treat outcome of T1 hepatocellular carcinoma with the "wait and not ablate" approach until meeting T2 criteria for liver transplant listing.

Authors:  Neil Mehta; Monika Sarkar; Jennifer L Dodge; Nicholas Fidelman; John P Roberts; Francis Y Yao
Journal:  Liver Transpl       Date:  2016-01-08       Impact factor: 5.799

Review 4.  Is resection or transplantation the ideal treatment in patients with hepatocellular carcinoma in cirrhosis if both are possible? A systematic review and metaanalysis.

Authors:  Andrea Proneth; Florian Zeman; Hans J Schlitt; Andreas A Schnitzbauer
Journal:  Ann Surg Oncol       Date:  2014-05-28       Impact factor: 5.344

5.  Is surgical resection superior to transplantation in the treatment of hepatocellular carcinoma?

Authors:  Leonidas G Koniaris; David M Levi; Felipe E Pedroso; Dido Franceschi; Andreas G Tzakis; Juan A Santamaria-Barria; Jennifer Tang; Marissa Anderson; Subhasis Misra; Naveenraj L Solomon; Xiaoling Jin; Peter J DiPasco; Margaret M Byrne; Teresa A Zimmers
Journal:  Ann Surg       Date:  2011-09       Impact factor: 12.969

6.  Effect of Gender on the Response to Hepatitis C Treatment in an Inner-City Population.

Authors:  Priya Simoes; Adel Asaad; Jean Abed; Ellen S Engelson; Donald P Kotler
Journal:  Womens Health Issues       Date:  2015 May-Jun

7.  Recipient female gender is a risk factor for graft loss after liver transplantation for chronic hepatitis C: Evidence from the prospective Liver Match cohort.

Authors:  Luca Saverio Belli; Renato Romagnoli; Alessandra Nardi; Tania Marianelli; Francesca Donato; Stefano Ginanni Corradini; Rosa Maria Iemmolo; Cristina Morelli; Luisa Pasulo; Maria Rendina; Eleonora De Martin; Francesca Romana Ponziani; Riccardo Volpes; Mario Strazzabosco; Mario Angelico
Journal:  Dig Liver Dis       Date:  2015-04-16       Impact factor: 4.088

8.  Cancer Statistics, 2017.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2017-01-05       Impact factor: 508.702

Review 9.  Personalized treatment of patients with very early hepatocellular carcinoma.

Authors:  Alessandro Vitale; Markus Peck-Radosavljevic; Edoardo G Giannini; Eric Vibert; Wolfgang Sieghart; Sven Van Poucke; Timothy M Pawlik
Journal:  J Hepatol       Date:  2016-09-24       Impact factor: 25.083

10.  Impact of sex on the survival of patients with hepatocellular carcinoma: a Surveillance, Epidemiology, and End Results analysis.

Authors:  Dongyun Yang; Diana L Hanna; Josh Usher; Jordan LoCoco; Pritesh Chaudhari; Heinz-Josef Lenz; V Wendy Setiawan; Anthony El-Khoueiry
Journal:  Cancer       Date:  2014-07-31       Impact factor: 6.921

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  7 in total

1.  Liver resection versus liver transplantation for hepatocellular carcinoma within Milan criteria: a meta-analysis of 18,421 patients.

Authors:  Jin Hean Koh; Darren Jun Hao Tan; Yuki Ong; Wen Hui Lim; Cheng Han Ng; Phoebe Wen Lin Tay; Jie Ning Yong; Mark D Muthiah; Eunice X Tan; Ning Qi Pang; Beom Kyung Kim; Nicholas Syn; Alfred Kow; Brian K P Goh; Daniel Q Huang
Journal:  Hepatobiliary Surg Nutr       Date:  2022-02       Impact factor: 8.265

2.  Plumbagin promotes human hepatoma SMMC-7721 cell apoptosis via caspase-3/vimentin signal-mediated EMT.

Authors:  Yanfei Wei; Beibei Lv; Jinling Xie; Yuan Zhang; Yuning Lin; Shengshan Wang; Jing Zhong; Yongxin Chen; Yue Peng; Jing Ma
Journal:  Drug Des Devel Ther       Date:  2019-07-15       Impact factor: 4.162

3.  Impact of liver-directed therapy and non-therapy on the waiting time list of patient candidates for liver transplantation: retrospective survival analysis.

Authors:  Maria Del Pilar Bayona Molano; Lorena Garza; Genaro Selvaggi; Jay Vasani; Juan Carlos Barrera Gutierrez; Jason Salsamendi; Shivank Bhatia; Leopoldo Arosemena
Journal:  Clin Exp Hepatol       Date:  2020-12-30

Review 4.  Patient Selection for Downstaging of Hepatocellular Carcinoma Prior to Liver Transplantation-Adjusting the Odds?

Authors:  Daniel Seehofer; Henrik Petrowsky; Stefan Schneeberger; Eric Vibert; Jens Ricke; Gonzalo Sapisochin; Jean-Charles Nault; Thomas Berg
Journal:  Transpl Int       Date:  2022-04-21       Impact factor: 3.842

5.  Connexin32 regulates expansion of liver cancer stem cells via the PI3K/Akt signaling pathway.

Authors:  Hongyu Li; Boying Wang; Benquan Qi; Guojun Jiang; Min Qin; Meiling Yu
Journal:  Oncol Rep       Date:  2022-07-27       Impact factor: 4.136

6.  MicroRNA-98-5p Inhibits Tumorigenesis of Hepatitis B Virus-Related Hepatocellular Carcinoma by Targeting NF-κB-Inducing Kinase.

Authors:  Xiukun Fei; Peipei Zhang; Yu Pan; Yuanyuan Liu
Journal:  Yonsei Med J       Date:  2020-06       Impact factor: 2.759

7.  Synergism of wt-p53 and synthetic material in local nano-TAE gene therapy of hepatoma: comparison of four systems and the possible mechanism.

Authors:  Gaopeng Li; Wenqin Kang; Mingliang Jin; Lidong Zhang; Jian Zheng; Kai Jia; Jinfeng Ma; Ting Liu; Xueyi Dang; Zhifeng Yan; Zefeng Gao; Jun Xu
Journal:  BMC Cancer       Date:  2019-11-20       Impact factor: 4.430

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