Literature DB >> 29403561

Comparison of five staging systems in predicting the survival rate of patients with hepatocellular carcinoma undergoing trans-arterial chemoembolization therapy.

Zhan-Hong Chen1,2, Ying-Fen Hong1, Xiangwei Chen1, Jie Chen1, Qu Lin1, Jinxiang Lin1, Xing Li1, Jing-Yun Wen1, Dan-Yun Ruan1, Min Dong1, Li Wei1, Tian-Tian Wang1, Ze-Xiao Lin1, Xiao-Kun Ma1, Dong-Hao Wu1, Xiang-Yuan Wu1, Ruihua Xu2.   

Abstract

The majority of patients with unresectable hepatocellular carcinoma (HCC) undergo trans-arterial chemoembolization (TACE). However, the prognosis of HCC remains poor. In the present study, five staging systems were compared to predict the survival rate of patients with HCC undergoing TACE treatment. A total of 220 patients with HCC were examined according to the model to estimate survival for hepatocellular carcinoma (MESH), hepatoma arterial embolization prognostic score (HAP), modified HAP (mHAP), performance status combined Japan Integrated Staging system (PSJIS) and tumor-node-metastasis (TNM) staging systems. The endpoints of the study were 3-month survival, 6-month survival, 1-year survival and overall survival (OS) rates. Receiver operating characteristic curve analysis indicated that the area under the curve of MESH, HAP, mHAP, PSJIS and TNM was 0.858, 0.728, 0.690, 0.688 and 0.699, respectively, in predicting 3-month survival rates; 0.822, 0.747, 0.720, 0.722 and 0.715, respectively, in predicting 6-month survival rates and 0.725, 0.664, 0.672, 0.645 and 0.654, respectively, in predicting 1-year survival rates. Discriminatory ability, homogeneity, monotonicity and prognostic stratification ability was evaluated using a likelihood ratio test and Akaike information criterion values among the five staging systems, and revealed that the MESH system was the optimal prognostic staging system for HCC. In conclusion, the results of the present study suggest that the MESH system is the most accurate prognostic staging system of 3-month survival, 6-month survival, 1-year survival and OS rates among the five systems analyzed in patients with HCC who have received TACE treatment.

Entities:  

Keywords:  hepatitis B; hepatocellular carcinoma; model to estimate survival for hepatocellular carcinoma; prognosis; trans-arterial chemoembolization

Year:  2017        PMID: 29403561      PMCID: PMC5780749          DOI: 10.3892/ol.2017.7419

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Hepatocellular carcinoma (HCC) is a common malignancy globally, and its mortality rate ranked fourth in 2015 (1,2). In total, ~60% of patients with HCC are diagnosed with unresectable HCC, which represents an incurable disease (3,4). Barcelona Clinic Liver Cancer (BCLC) guidelines recommend patients with intermediate-stage HCC to receive trans-arterial chemoembolization (TACE) as a standard treatment. Two randomized controlled clinical trials demonstrated the benefits of TACE treatment for patients with HCC (5,6). According to BCLC guidelines, patients with HCC who present an asymptomatic HCC, lack of portal vein thrombosis or extra-hepatic spread, compensated cirrhosis, and patients classified with Child-Pugh scores <8 and a performance status (PS) of 0, are advised to receive TACE treatment (4). In total, ~20% of patients with HCC are at an intermediate stage. These patients form a heterogeneous group, owing to discrepancies in tumor burden, serum biomarker, liver function, performance status, etiology, etc. However, BCLC guidelines do not consider all these parameters. The reported survival rates of patients with intermediate-stage HCC varies between 11 and 45 months (7). Staging systems, including model to estimate survival rates for hepatocellular carcinoma (MESH), hepatoma arterial embolization prognostic score (HAP), modified HAP (mHAP), performance status combined Japan Integrated Staging system (PSJIS) and tumor-node-metastasis (TNM), have been developed to determine the optimal treatment for the patients. However, it remains unknown which system is optimal for the prediction of patient survival rates. In the present study, the performance of five staging systems, i.e., MESH, HAP, mHAP, PSJIS and TNM, was compared in predicting 3-month survival, 6-month survival, 1-year survival and OS survival rates of patients with HBV-associated HCC undergoing TACE. The aim of the present study was to determine the optimal staging system for patients with HCC.

Patients and methods

Patients

A total of 220 sequential patients with HCC treated with TACE were retrospectively reviewed at the Third Affiliated Hospital of Sun Yat-Sen University (Guangzhou, China) between July 2009 and June 2012. Patient characteristics are provided in Table I. The diagnosis of HCC was confirmed using pathology or magnetic resonance imaging (MRI)/computed tomography (CT) according to the American Association for the Study of Liver Diseases guidelines (3). All participants studied were patients with HBV-associated HCC and received TACE following multidisciplinary team discussion. Patients with advanced HCC classified as Child-Pugh grade A or B and with a performance status (PS) of 0 to 2, platelet count ≥30×109 cells/l and hemoglobin level ≥60 g/l, were eligible for enrollment. However, patients were excluded if a second type of cancer and/or intractable comorbid medical illness existed. Patients classified as Child-Pugh grade C were also excluded.
Table I.

Baseline demographic and clinical characteristics of patients.

CharacteristicPatients
Total patients, n (%)220 (100)
Sex, n (%)
  Male200 (90.90)
  Female20 (9.10)
Median age, years (range)52.5 (11–84)
  Etiology, n (%)
  HBsAg220 (100)
Tumor size, n (%)
  <2 cm20 (9.1)
  2-5 cm62 (28.2)
  >5 cm138 (62.7)
  Ascites, n (%)55 (25.0)
  Portal vein invasion (segmental), n (%)102 (46.4)
  Extrahepatic spread21 (9.5)
White blood cell count, ×109 cells/l5.90 (1.54–20.6)
(range)
α-fetoprotein, ng/ml (range)503.47 (1–1210)
Albumin, g/l (range)38.06 (22.0–53.3)
Creatinine, µmol/l (range)73.67 (41.0–160.1)
Alkaline phosphatase, U/l (range)139.90 (44–1048)
Platelets, ×109 cells/l (range)161.31 (31–520)
Hemoglobin, g/l (range)130.72 (60–190)
Fibrinogen, g/l (range)3.48 (1.26–9.39)
Total bilirubin, µmol/l (range)21.28 (4.7–109.8)
AST, IU/l (range)82.28 (12–931)
γ-glutamyltransferase, U/l (range)166.50 (17–1136)
Blood urea nitrogen, mmol/l (range)5.24 (2.08–12.85)
PT, sec (range)14.18 (11.2–24.3)
INR (range)1.11 (0.84–2.21)
90-day survival rate, n (%)194 (88.18)
6-month survival rate, n (%)166 (75.45)
1-year survival rate, n (%)132 (60.00)
2-year survival rate, n (%)108 (49.09)
5-year survival rate, n (%)18 (8.18)
TNM 7th edition, n (%)
  I14 (6.4)
  II52 (23.6)
  III38 (17.3)
  IV116 (52.7)
Child-Pugh class, n (%)
  A153 (69.5)
  B67 (30.5)
BCLC, n (%)
  A6 (2.7)
  B12 (5.5)
  C202 (91.8)
MESH, n (%)
  05 (2.3)
  127 (12.3)
  243 (19.5)
  360 (27.3)
  453 (24.1)
  531 (14.1)
  61 (0.5)
HAP, n (%)
  A26 (11.8)
  B59 (26.8)
  C76 (34.5)
  D59 (26.8)
mHAP, n (%)
  A50 (22.7)
  B74 (33.6)
  C74 (33.6)
  D22 (10.0)
JIS, n (%)
  06 (2.7)
  152 (23.6)
  281 (36.8)
  356 (25.5)
  422 (10.0)
  53 (1.4)
PSJIS, n (%)
  01 (0.5)
  112 (5.5)
  244 (20.0)
  376 (34.5)
  446 (20.9)
  527 (12.3)
  612 (5.5)
  72 (0.9)

AST, aspartate aminotransferase; BCLC, Barcelona Clinic Liver Cancer; HAP, hepatoma arterial embolization prognostic score; HBsAg, hepatitis virus B surface antigen; INR, international normalized ratio; MESH, model to estimate survival for hepatocellular carcinoma; mHAP, modified HAP; PSJIS, performance status combined Japan Integrated Staging system; PT, prothrombin time; TNM, tumor-node-metastasis.

Data collection

The Institutional Review Board of the Third Affiliated Hospital of Sun Yat-Sen University reviewed and approved the present study. Prior to enrollment, all participants provided written informed consent for data sharing. A range of demographic data were collected including risk factors, blood results, imaging and therapy data. Collected data also included sex, age, date of diagnosis, date of mortality or last follow-up date. The clinical records of the patients were retrospectively assessed. Tumor characteristics, including tumor size and extension, vascular invasion and lymph node metastases, were assessed using CT or MRI. Routine blood tests, liver function and coagulation tests were also conducted.

Staging

Baseline data were collected to classify patients according to MESH, HAP, mHAP, PSJIS and TNM systems. All eligible patients were classified by MESH, HAP, mHAP, PSJIS, TNM and BCLC in the first diagnosis, and 91.8% of patients with HCC were classified according to BCLC-C. Patients with a PS of 2 were also the classified according to BCLC-C at first diagnosis. A baseline evaluation that included laboratory studies, imaging studies (CT or MRI) and clinical examination was performed. Data were collected at the time the patients were diagnosed with advanced HBV-associated HCC. Survival times were defined as the time from first TACE treatment until mortality or last follow-up. Patients who lacked the required data or who were lost to follow-up within 3 months of diagnosis were excluded from the present study.

Statistical analysis

The primary endpoints of the present study were 3-month survival and OS. The secondary endpoints of the study were 6-month and 1-year survival. Kaplan-Meier estimator survival curves and log rank tests were used to evaluate the OS rate. Likelihood ratio tests (LRTs) were used to compare different staging systems. The degree of freedom was set at 1, so that different prognostic systems with different numbers of stages could be compared. Bias correction of Akaike information criterion (AIC) was applied. Lower AIC and higher likelihood ratio values indicate improved prognosis capacity of a staging system. Statistically significant prognostic variables in univariate analyses were identified by multivariate analysis using Cox's proportional hazards model. Receiver operating characteristic (ROC) curve analysis was performed for each staging system's predictive value for predicting 3-month, 6-month and 1-year mortality. Higher area under curve (AUC) values of the ROC curves indicate better predictive ability. Data were analyzed using SPSS (version 22.0; IBM Corp., Armonk, NY, USA) and SAS (version 9.0; SAS Institute, Inc., Cary, NC, USA). P<0.05 was considered to indicate a statistically significant difference.

Results

Patient characteristics

A total of 220 patients were classified using the MESH, HAP, mHAP, TNM and PSJIS systems. The baseline characteristics of all patients studied are presented in Table I.

Staging system comparison

Analysis of the prognostic performance of the staging systems to predict 3-month, 6-month and 1-year survival rates was performed. The AUC values for predicting 3-month survival rates for MESH, HAP, mHAP, PSJIS and TNM systems were 0.858, 0.728, 0.690, 0.688 and 0.699, respectively. Additionally, the AUC values of MESH, HAP, mHAP, PSJIS and TNM for predicting 6-month survival rates were 0.822, 0.747, 0.720, 0.722 and 0.715, whereas the respective values for predicting 1-year survival rates were 0.725, 0.664, 0.672, 0.645 and 0.654. Pairwise comparison of the AUC to predict 3-month, 6-month and 1-year survival rates revealed that the MESH staging system performed optimally in predicting 3- and 6-month survival rates (Tables II and III)(Figs 1 and 2). A statistical trend was only observed when MESH was compared with mHAP in predicting 1-year survival rate (P=0.0797; Table IV; Fig. 3). MESH exhibited an improved performance compared with HAP, PSJIS and TNM in predicting 1-year survival rate (P<0.05), while mHAP performed equally well compared with PSJIS and TNM in predicting 1-year survival rate (P>0.05; Table IV).
Table II.

Pairwise comparison of receiver operating characteristic curves predicting 3-month survival rates.

System 1System 2DifferenceP-value
MESHHAP0.1300.0008
MESHmHAP0.1680.0001
MESHPSJIS0.1700.0002
MESHTNM0.159<0.0001
HAPmHAP0.03730.1839
HAPPSJIS0.03950.4660
HAPTNM0.02830.5530
mHAPPSJIS0.002180.9706
mHAPTNM0.009020.8639
PSJISTNM0.01120.8479

HAP, hepatoma arterial embolization prognostic score; MESH, model to estimate survival for hepatocellular carcinoma; mHAP, modified HAP; PSJIS, performance status combined Japan Integrated Staging system; TNM, tumor-node-metastasis.

Table III.

Pairwise comparison of receiver operating characteristic curves predicting 6-month survival rates.

System 1System 2DifferenceP-value
MESHHAP0.07520.0076
MESHmHAP0.1020.0016
MESHPSJIS0.09990.0032
MESHTNM0.1070.0002
HAPmHAP0.02660.2054
HAPPSJIS0.02470.5311
HAPTNM0.03200.3498
mHAPPSJIS0.001840.9639
mHAPTNM0.005410.8813
PSJISTNM0.007250.8446

HAP, hepatoma arterial embolization prognostic score; MESH, model to estimate survival for hepatocellular carcinoma; mHAP, modified HAP; PSJIS, performance status combined Japan Integrated Staging system; TNM, tumor-node-metastasis.

Figure 1.

Receiver operating characteristic curves of MESH, HAP, mHAP, TNM and PSJIS for predicting 3-month survival. The optimal threshold value of MESH was 3 and the area under the curve of MESH was 0.858 (95% confidence interval, 0.805–0.901; P<0.001). P<0.001 for MESH vs. HAP, mHAP, PSJIS or TNM. MESH, model to estimate survival for hepatocellular carcinoma; HAP, hepatoma arterial embolization prognostic score; mHAP, modified HAP; PSJIS, performance status combined Japan Integrated Staging system; TNM, tumor-node-metastasis.

Figure 2.

Receiver operating characteristic curves of MESH, HAP, mHAP, TNM and PSJIS for predicting 6-month survival. The optimal threshold value of MESH was 3 and the area under the curve of MESH was 0.822 (95% confidence interval, 0.765–0.870; P<0.001). P<0.01 for MESH vs. HAP, mHAP, PSJIS or TNM. MESH, model to estimate survival for hepatocellular carcinoma; HAP, hepatoma arterial embolization prognostic score; mHAP, modified HAP; PSJIS, performance status combined Japan Integrated Staging system; TNM, tumor-node-metastasis.

Table IV.

Pairwise comparison of receiver operating characteristic curves predicting 1-year survival rates.

System 1System 2DifferenceP-value
MESHHAP0.06100.0318
MESHmHAP0.05250.0797
MESHPSJIS0.07960.00116
MESHTNM0.07040.0189
HAPmHAP0.008480.6508
HAPPSJIS0.01860.6167
HAPTNM0.009430.7866
mHAPPSJIS0.02710.4793
mHAPTNM0.01790.6189
PSJISTNM0.009170.7800

HAP, hepatoma arterial embolization prognostic score; MESH, model to estimate survival for hepatocellular carcinoma; mHAP, modified HAP; PSJIS, performance status combined Japan Integrated Staging system; TNM, tumor-node-metastasis.

Figure 3.

Receiver operating characteristic curves of MESH, HAP, mHAP, TNM and PSJIS when predicting 1-year survival. The optimal threshold value of MESH was 3 and the area under the curve of MESH was 0.725 (95% confidence interval, 0.661–0.783; P<0.01). P<0.05 for MESH vs. HAP, PSJIS or TNM. MESH, model to estimate survival for hepatocellular carcinoma; HAP, hepatoma arterial embolization prognostic score; mHAP, modified HAP; PSJIS, performance status combined Japan Integrated Staging system; TNM, tumor-node-metastasis.

Additionally, the staging systems, including MESH, HAP, mHAP, TNM and PSJIS were analyzed separately, using Kaplan-Meier estimator curves (Figs. 4–8, respectively). For the analysis of the MESH system, patients were assigned to risk groups (MESH score 0–1, low risk; score 2–4, intermediate risk; score 5–6, high risk). The median survival was 3 months for the high-risk group, 27 months for the intermediate-risk group and 41 months for the low-risk group, indicating that high-risk patients had a poor survival rate (8). For the analysis of the PSJIS system, patients with a score of 0–2 represented a low-risk group, whereas patients in the high-risk group had a score of 5–7 (9). The Kaplan-Meier estimator curves exhibited different prognostic strata for MESH, HAP, mHAP, PSJIS and TNM, which was statistically different (log-rank P<0.05 in all cases). Subsequently, Kaplan-Meier estimator analysis of survival rate revealed that the MESH staging system exhibited an excellent stratified prognostic capacity.
Figure 4.

Kaplan-Meier estimator survival curves for patients with advanced HCC based on MESH score. HCC; hepatocellular carcinoma; MESH, model to estimate survival for hepatocellular carcinoma.

Figure 8.

Kaplan-Meier estimator survival curves for patients with advanced hepatocellular carcinoma based on PSJIS. PSJIS, performance status combined Japan Integrated Staging system.

Following comparison of the LRT χ2 and AIC values of the five staging systems, MESH demonstrated the highest χ2 and lowest AIC value, thus suggesting an improved predictive performance compared with that of the HAP, mHAP, PSJIS and TNM systems (Table V).
Table V.

Homogeneity LRT χ2 test and AIC of different staging systems.

Staging systemHomogeneity LRT χ2 testAICP-value
MESH311339<0.01
PSJIS191354<0.01
TNM161354<0.01
mHAP141358<0.01
HAP111361<0.01

AIC, Akaike information criterion; HAP, hepatoma arterial embolization prognostic score; LRT, likelihood ratio test; MESH, model to estimate survival for hepatocellular carcinoma; mHAP, modified HAP; PSJIS, performance status combined Japan Integrated Staging system; TNM, tumor-node-metastasis.

Prognostic factors of survival in patients with HCC

Independent prognostic factors including tumor size, portal vein invasion (segmental), antiviral therapy and bilirubin for OS were revealed by univariate and multivariate analyses (Table VI).
Table VI.

Univariate and multivariate analysis of prognostic factors for overall survival in 220 patients with hepatocellular carcinoma undergoing trans-arterial chemoembolization.

Univariate analysisMultivariate analysis


VariableHR95% CIP-valueHR95% CIP-value
Sex (male/female)0.770.41 to 1.460.43
Age, years (>53/≤53)0.950.68 to 1.320.75
Tumor size (>50% of liver/≤50% of liver)2.071.48 to 2.90<0.011.641.11 to 2.420.01
Node status (N0/N1)1.991.27 to 3.110.011.240.75 to 2.040.40
Extrahepatic spread (yes/no)1.871.11 to 3.140.021.200.67 to 2.140.54
Portal vein invasion (segmental; yes/no)2.121.52 to 2.97<0.011.641.13 to 2.370.01
AFP (>400/≤400 ng/ml)1.411.01 to 1.970.041.030.73 to 1.480.85
Child-Pugh grade (A/B)1.320.93 to 1.880.12
Antiviral therapy (yes/no)0.640.45 to 0.89<0.010.700.49 to 1.010.05
AST (>40/≤40 U/l)0.580.39 to 0.86<0.010.750.50 to 1.130.18
Bilirubin (>51.3/≤51.3 µmol/l)2.221.09 to 4.540.032.541.21 to 5.360.01

AFP, α-fetoprotein; AST, aspartate transaminase; HR, hazard ratio; CI, confidence interval.

Discussion

Many patients with HCC are diagnosed at an advanced stage and TACE is a major therapeutic approach. BCLC guidelines recommend patients with intermediate-stage HCC to receive TACE treatment for first-line therapy. Evidence comes from two randomized controlled clinical trials (5,6). Llovet et al (5) conducted a randomized controlled trial and analyzed 112 patients. It was identified that patients with HCC undergoing chemoembolization exhibited a longer survival time compared with patients undergoing conservative treatment. Chemoembolization decreased mortality by 53%. It was concluded that under careful selection, patients with unresectable HCC received a survival benefit from chemoembolization (5). Another trial was conducted by Lo et al (6), in which 80 patients with HCC were examined. The survival rate of the chemoembolization group was significantly increased compared with that of the control group. Chemoembolization decreased mortality by 51%. This study verified the previous results that TACE treatment significantly prolonged the survival of Asian patients with HCC at an unresectable stage. However, it is difficult to predict which group of patients would benefit most from TACE treatment. Precise prognosis for patients with HCC under TACE treatment is needed. First, many patients may not respond to TACE although they fulfill the eligibility criteria. Furthermore, patients receiving their first course of TACE may develop liver failure and become unsuitable to receive the second embolization (10). Lastly, the development of TACE techniques has broadened the use of TACE beyond the initial eligibility criteria, which widens the heterogeneity of the treatment group survival. Several staging systems, including MESH, HAP, mHAP and PSJIS, have been developed for more precise prognosis for patients with HCC undergoing TACE. Liu et al (8) proposed the MESH staging system. This model was derived from the analysis of 3,182 patients with HCC from Taiwan (8), where multiple factors, including vascular invasion or metastasis, tumor size, serum α-fetoprotein (AFP) and alkaline phosphatase (ALP) levels, were employed. MESH scores range between 0 and 6. The authors identified that MESH improved prognostic accuracy and refined treatment strategies for patients with HCC when compared with other staging systems including BCLC, Taipei Integrated Scoring (TIS), Cancer of the Liver Italian Program (CLIP) and Hong Kong Liver Cancer (HKLC) (8). The second system, known as HAP, was established by Kadalayil et al (11) following examination of 281 patients with HCC (114 in the training set; 167 in the validation set) undergoing TACE/trans-arterial embolization (TAE). The authors employed independent prognostic factors analyzed using Cox's regression (11). Those parameters included albumin levels, tumor size, AFP levels and bilirubin levels (albumin, <36 g/dl; maximum tumor diameter, >7 cm; AFP, >400 ng/ml; and bilirubin, >17 µmol/l). Patients were categorized into HAP groups A-D. The median survival rates for HAP A, B, C and D groups were 27.6, 18.5, 9.0 and 3.6 months, respectively. Patients in the HAP C and D groups were recommended not to receive TACE owing to the poor survival rate. The HAP scoring system was further validated by Pinato et al (12) who examined 923 patients with HCC from Asia and Europe. The authors proposed a modified version of the HAP score (mHAP), based on the tumor size, albumin levels and AFP levels, but not bilirubin levels. This mHAP system was identified to offer an improved prediction of overall survival (OS) rate compared with HAP (12). Another system, the Japan Integrated Score (JIS), was established based on analysis of 722 Japanese patients with HCC (13). In addition to this system, Nishikawa et al (9) proposed the PSJIS system, which is a combination of PS with JIS and derived from 1,170 patients with HCC and with liver cirrhosis. PSJIS was identified to be an improvement over the original JIS system and the BCLC, TNM and CLIP scoring systems in predicting 1-, 3- and 5-year survival rates in patients with transcatheter arterial therapies (9). HAP and mHAP staging systems were established based on the prognostic analysis of TACE/TAE-treated patients with HCC (11,12). Patients with poor prognosis may not benefit from TACE. In the HAP staging system, patients were classified into HAP groups A-D. Median survival rates of patients classified as HAP A, B, C and D was 27.6, 18.5, 9.0 and 3.6 months, respectively (11). Patients in the HAP C and D group were advised not to receive TACE because of poor survival. The MESH score includes six common clinical variables including Child-Pugh score, vascular invasion or metastasis presence, tumor number and tumor size, PS, AFP and ALP. The MESH score considers tumor burden, serum biomarker, liver function and PS. It was demonstrated that for BCLC stage B-D patients with HCC, patients may be classified into different prognostic groups based on MESH score (8). The MESH score provided an improvement over TIS, HKLC (14) and CLIP (15). To the best of our knowledge, MESH has not been studied in geographical areas other than Taiwan, therefore the present study is the first to compare MESH and other staging systems, including HAP, mHAP, PJIS and TNM in patients with HBV-associated HCC under TACE therapy. According to the results of the present study, the MESH score exhibited the highest AUC value when predicting 3-month, 6-month and 1-year survival rates. Life expectancy >3 months is a common inclusion criterion of TACE clinical trials. Routinely, TACE is repeated every 2–3 months (5). As for OS, MESH exhibited the highest χ2 value and the lowest AIC value, suggesting that MESH exhibited the optimum performance in terms of discriminatory ability, homogeneity and monotonicity. The MESH score is user-friendly and precise. The median survival of patients with HCC with a MESH score of 5–6 in the present study was 3 months. They would not benefit from TACE due to their poor survival rates. Sub-classification of the intermediate stage of BCLC was proposed by Bolondi (16). Patients with intermediate-stage HCC were classified into four sub-classes (B1-B4) based on Child-Pugh score, tumor burden (assessed by the Milan criteria), PS and portal vein thrombosis. In the present study, the majority of patients with HCC were classified as BCLC-C, therefore Bolondi's sub-classification was not evaluated (16). Antiviral therapy was identified as an independent prognostic factor by multivariate analyses. In the present study, all patients with HCC were associated with HBV. In total ~50% of the patients received antiviral therapy. HBV reactivation and hepatic decompensation are major risks in patients with HBV-associated HCC undergoing TACE. Previous studies have also confirmed that patients with HCC and with HBV should be considered for antiviral therapy for preventing hepatic decompensation and HCC development (17–19). The present study has certain limitations. First, the patients included were restricted to a single center and the number of patients was limited. Additionally, the patients had HBV-associated advanced HCC. Whether the results of the present study are applicable to patients with HCC not associated with HBV is uncertain. Additional etiologies of HCC, including HCV and alcohol, require further study. Therefore, standard investigations and large-scale prospective studies are required to validate the results of the present study. In conclusion, MESH score was identified as the most accurate score system for predicting 3-month survival, 6-month survival, 1-year survival and OS rates among the five systems analyzed in the patients with HCC who received TACE treatment in the present study.
  19 in total

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Authors:  Chia-Yang Hsu; Yi-Hsiang Huang; Cheng-Yuan Hsia; Chien-Wei Su; Han-Chieh Lin; Che-Chuan Loong; Yi-You Chiou; Jen-Huey Chiang; Pui-Ching Lee; Teh-Ia Huo; Shou-Dong Lee
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2.  EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma.

Authors: 
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Authors:  Liang-He Yu; Nan Li; Jie Shi; Wei-Xing Guo; Meng-Chao Wu; Shu-Qun Cheng
Journal:  Ann Surg Oncol       Date:  2014-03       Impact factor: 5.344

4.  Proposal of the performance status combined Japan Integrated Staging system in hepatocellular carcinoma complicated with cirrhosis.

Authors:  Hiroki Nishikawa; Ryuichi Kita; Toru Kimura; Masatsugu Endo; Yoshiaki Ohara; Azusa Sakamoto; Sumio Saito; Norihiro Nishijima; Akihiro Nasu; Hideyuki Komekado; Yukio Osaki
Journal:  Int J Oncol       Date:  2015-04-17       Impact factor: 5.650

5.  Hepatitis B virus DNA negativity acts as a favorable prognostic factor in hepatocellular carcinoma patients.

Authors:  Xing Li; Xiang Zhong; Zhan-Hong Chen; Yan-Fang Xing; Dong-Hao Wu; Jie Chen; Xiao-Kun Ma; Qu Lin; Jing-Yun Wen; Li Wei; Tian-Tian Wang; Dan-Yun Ruan; Ze-Xiao Lin; Xiang-Yuan Wu; Min Dong
Journal:  Asian Pac J Cancer Prev       Date:  2014

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Authors:  Shoji Kubo; Hiromu Tanaka; Taichi Shuto; Shigekazu Takemura; Takatsugu Yamamoto; Takahiro Uenishi; Shogo Tanaka; Seikan Hai; Satoshi Yamamoto; Tsuyoshi Ichikawa; Shintaro Kodai; Kazuhiro Hirohashi
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Review 7.  Heterogeneity of patients with intermediate (BCLC B) Hepatocellular Carcinoma: proposal for a subclassification to facilitate treatment decisions.

Authors:  Luigi Bolondi; Andrew Burroughs; Jean-François Dufour; Peter R Galle; Vincenzo Mazzaferro; Fabio Piscaglia; Jean Luc Raoul; Bruno Sangro
Journal:  Semin Liver Dis       Date:  2013-02-08       Impact factor: 6.115

8.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

9.  Proposal and validation of a new model to estimate survival for hepatocellular carcinoma patients.

Authors:  Po-Hong Liu; Chia-Yang Hsu; Cheng-Yuan Hsia; Yun-Hsuan Lee; Yi-Hsiang Huang; Chien-Wei Su; Fa-Yauh Lee; Han-Chieh Lin; Teh-Ia Huo
Journal:  Eur J Cancer       Date:  2016-05-31       Impact factor: 9.162

10.  Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015.

Authors: 
Journal:  Lancet       Date:  2016-10-08       Impact factor: 79.321

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  5 in total

1.  Time-Varying mHAP-III Is the Most Accurate Predictor of Survival in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization.

Authors:  Claudia Campani; Alessandro Vitale; Gabriele Dragoni; Umberto Arena; Giacomo Laffi; Umberto Cillo; Edoardo G Giannini; Francesco Tovoli; Gian Ludovico Rapaccini; Maria Di Marco; Eugenio Caturelli; Marco Zoli; Rodolfo Sacco; Giuseppe Cabibbo; Andrea Mega; Maria Guarino; Antonio Gasbarrini; Gianluca Svegliati-Baroni; Francesco Giuseppe Foschi; Elisabetta Biasini; Alberto Masotto; Gerardo Nardone; Giovanni Raimondo; Francesco Azzaroli; Gianpaolo Vidili; Maurizia Rossana Brunetto; Fabio Farinati; Franco Trevisani; Fabio Marra
Journal:  Liver Cancer       Date:  2021-03-17       Impact factor: 11.740

2.  The Predictive Value of Albumin-to-Alkaline Phosphatase Ratio for Overall Survival of Hepatocellular Carcinoma Patients Treated with Trans-Catheter Arterial Chemoembolization Therapy.

Authors:  Zhan-Hong Chen; Xiao-Ping Zhang; Xiu-Rong Cai; Si-Dong Xie; Meng-Meng Liu; Jin-Xiang Lin; Xiao-Kun Ma; Jie Chen; Qu Lin; Min Dong; Xiang-Yuan Wu; Jing-Yun Wen; Rui-Hua Xu
Journal:  J Cancer       Date:  2018-09-08       Impact factor: 4.207

3.  MiR-494-3p promotes PI3K/AKT pathway hyperactivation and human hepatocellular carcinoma progression by targeting PTEN.

Authors:  Hui Lin; Zhi-Ping Huang; Jiao Liu; Yun Qiu; Yuan-Ping Tao; Meng-Chao Wang; Hui Yao; Ke-Zhu Hou; Fang-Ming Gu; Xuan-Fu Xu
Journal:  Sci Rep       Date:  2018-07-11       Impact factor: 4.379

4.  A differential risk assessment and decision model for Transarterial chemoembolization in hepatocellular carcinoma based on hepatic function.

Authors:  Joon Yeul Nam; A Reum Choe; Dong Hyun Sinn; Jeong-Hoon Lee; Hwi Young Kim; Su Jong Yu; Yoon Jun Kim; Jung-Hwan Yoon; Jeong Min Lee; Jin Wook Chung; Sun Young Choi; Jeong Kyong Lee; Seung Yon Baek; Hye Ah Lee; Tae Hun Kim; Kwon Yoo
Journal:  BMC Cancer       Date:  2020-06-01       Impact factor: 4.430

Review 5.  Prospects and Challenges for T Cell-Based Therapies of HCC.

Authors:  Norman Woller; Sophie Anna Engelskircher; Thomas Wirth; Heiner Wedemeyer
Journal:  Cells       Date:  2021-06-30       Impact factor: 6.600

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