Literature DB >> 25804634

Liver transplantation for hepatocellular carcinoma beyond the Milan criteria.

Xiao Xu1, Di Lu2, Qi Ling2, Xuyong Wei2, Jian Wu2, Lin Zhou2, Sheng Yan2, Liming Wu2, Lei Geng2, Qinghong Ke2, Feng Gao2, Zhenhua Tu2, Weilin Wang2, Min Zhang2, Yan Shen2, Haiyang Xie2, Wenshi Jiang3, Haibo Wang3, Shusen Zheng1.   

Abstract

OBJECTIVE: Liver transplantation is an optimal radical therapy for selected patients with hepatocellular carcinoma. The stringent organ allocation system driven by the Milan criteria has been challenged by alternative sets of expanded criteria. Careful analysis is needed to prove that the Milan criteria can be expanded safely and effectively.
DESIGN: This study collectively reviewed 6012 patients of hepatocellular carcinoma from the China Liver Transplant Registry. Expanded criteria were evaluated to characterise an optimised expansion with acceptable outcomes beyond the Milan criteria.
RESULTS: Compared with the Milan criteria, Valencia, University of California, San Francisco, University Clinic of Navarra and Hangzhou criteria provided an expansion of 12.4%, 16.3%, 19.6%, and 51.5%, respectively. The post-transplant survivals of patients fulfilling the expanded criteria were comparable to that of the Milan criteria. The analysis of net reclassification improvement and area under the receiver operating characteristic curves showed an excellent efficiency in recurrence prediction for the expanded criteria compared with the Milan criteria. In patients exceeding Milan but fulfilling the Hangzhou criteria (N=1352), α-fetoprotein (AFP) >100 ng/mL and tumour burden>8 cm were the only two independent prognostic factors (p<0.001). Accordingly, the Hangzhou criteria were stratified as type A (tumour burden ≤8 cm, or tumour burden >8 cm but AFP≤100 ng/mL) and type B (tumour burden >8 cm but AFP between 100 and 400 ng/mL). Type A showed significantly higher 5-year tumour-free survival rates compared with type B (p<0.001).
CONCLUSIONS: The Milan criteria can be expanded safely and effectively. The prognostic stratification system based on the Hangzhou criteria serves as a hierarchy of transplant candidates for hepatocellular carcinoma. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  HEPATOCELLULAR CARCINOMA; LIVER TRANSPLANTATION

Mesh:

Year:  2015        PMID: 25804634      PMCID: PMC4893115          DOI: 10.1136/gutjnl-2014-308513

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


Liver transplantation is an optimal radical therapy for selected patients with hepatocellular carcinoma (HCC). It is well known that the Milan criteria are the golden candidate selection criteria that ensure excellent post-transplant survival for patients with HCC. The stringent organ allocation system driven by the Milan criteria has been challenged by alternative sets of expanded criteria. This was a pioneering study comparing the efficiency and safety of different criteria in the candidate selection for liver transplantation based on the largest HBV-related HCC cohort. The Valencia, University of California, San Francisco, University Clinic of Navarra and Hangzhou criteria provided expansions to the Milan criteria without significant impairment in the post-transplant survival. Among the four sets of criteria, the Hangzhou criteria had the greatest expansion as well as excellent prognostic-predicting capacity. Type A of Hangzhou criteria had significantly better survival than type B, and should have the priority for liver transplantation. The Milan criteria can be safely and effectively expanded, and the prognostic stratification system can be used in candidate selection for liver transplantation in patients with HCC.

Introduction

Hepatocellular carcinoma (HCC) has been increasingly prevalent throughout the world, with the seventh highest cancer rate and the third highest cancer mortality.1 2 China has the heaviest HCC burden worldwide, accounting for 55% of all newly diagnosed HCC cases and around 45% of deaths from HCC in the world.3 4 Liver transplantation is regarded as an optimal radical therapy for selected patients with HCC. Data from liver transplant registries showed that China has the greatest HCC candidate list and almost half of liver transplants were performed for HCC in the past decades. It is well known that the Milan criteria are the golden candidate selection criteria that ensure excellent post-transplant survival for patients with HCC.5 6 However, growing experience of liver transplantation for HCC raised concerns about the Milan criteria as being too restrictive and far from satisfying the increasing candidate list, particularly in China.7 Therefore, careful expansion to the Milan criteria has been proposed, including the University of California, San Francisco (UCSF),8 University Clinic of Navarra (CUN),9 Valencia10 and Hangzhou criteria11 (see online supplemental table S1). These alternative sets of criteria imply that the Milan criteria can be expanded. However, there are debates on whether such expansions are appropriate and which criteria to use.12 In this study, we collectively reviewed 6012 patients with HCC undergoing liver transplantation from the China Liver Transplant Registry (CLTR). It is the third largest liver transplant database in the world. Based on this large HCC patient cohort undergoing transplantation, the present study aimed to characterise an ideal candidate selecting system beyond the Milan criteria.

Patients and methods

Patients and data

The patient cohorts derived from the ongoing CLTR database. Until 31 December 2012, the CLTR covered a total of 23 805 cases of liver transplantation. The subject selection process is depicted in figure 1. This study excluded patients with incomplete follow-up, missing essential data for analysis (tumour size, number, differentiation grade, α-fetoprotein (AFP)) or vascular invasion according to radiological criteria, and had 6554 patients available for analysis. Finally, after excluding those patients with perioperative mortality (<30 days, N=542), altogether 6012 patients were studied. The major causes of deaths included haemorrhage, infection, graft failure and multiple organ dysfunction syndromes. All of them were histologically confirmed by postoperative pathological examination in the participating centres. The donor-to-recipient arrangements all conformed to the principle of ABO compatibility. Patients should be excluded for liver transplantation as long as extrahepatic metastasis and vascular invasion were detected before the operation, except for some transplants performed on patients with predetected vascular invasion in the 1990s and early 20th century. Among the 6012 patients, 5393 were men and 619 women. The age of the patients ranged from 18 to 74 years (mean, 50.3±8.7 years). Most of the patients (91.2%, N=5483) were hepatitis B surface antigen (HBsAg) positive. Liver cirrhosis was present in 86.2% (N=5185) of the patients. There were 794 (13.2%) patients receiving salvage liver transplantation due to tumour recurrence after hepatectomy. Before transplantation, 1813 patients (30.2%) received transcatheter arterial chemoembolisation and 270 patients (4.5%) underwent radiofrequency ablation. The radiological information was acquired from the latest CT or MRI examination before liver transplantation.
Figure 1

Flow chart of patient selection procedures. HCC, hepatocellular carcinoma; LT, liver transplant.

Flow chart of patient selection procedures. HCC, hepatocellular carcinoma; LT, liver transplant. Catalogued data included demographics, preoperative serum AFP level, morphological features (cirrhosis, tumour size, number of nodules), the model for end-stage liver diseases score, HBsAg positivity, tumour, node, metastases (TNM) grade (Union for International Cancer Control), adjuvant tumour therapy, donor origin, tumour differentiation grades (based on Edmondson–Steiner grading13) and vascular invasion (according to post-transplant pathology), tumour recurrence and patient survival. For tumour morphological features (according to the imaging), CLTR compares the pathological results and imaging findings to ensure the reliability of data. If obvious differences were present in a certain case, it should not be enrolled for analysis. This study randomly selected 200 patients from the whole cohort for the comparisons of tumour size and number between imaging and post-transplant pathology, which is shown in online supplemental figure S1. The radiological diagnostic modality was mainly based on CT and MRI. The pretransplant imaging protocol included US every week, CT or MRI every four weeks since a patient's first appearance in the waiting list. Those who progressed into late stage (eg, extrahepatic metastasis and vascular invasion) during the waiting time were excluded from the candidate list.

Statistical analysis

Endpoints for the current analysis were patient death or tumour recurrence. Overall and tumour-free survival rates were calculated using the Kaplan–Meier method. Log-rank test was used to perform the univariate analysis, and Cox proportional hazard regression models were used for multivariate analysis. Those variables, which were found to be significant in univariate analysis, were further enrolled in the multivariate analysis. Net reclassification improvement (NRI) was estimated to compare the efficiency of risk reclassification for tumour recurrence.14 The area under the receiver operating characteristic curve (AUROC) value was calculated for the discriminatory ability of each set of criteria.15 A multivariate Cox model was built comprising all the five criteria as covariates. By removing a certain set of criteria individually from the full model, its independent contribution was evaluated in regards to the changes in likelihood ratio test (LRT) χ2 and Akaike information criterion (AIC) value.16 17 Higher LRT χ2 indicates higher homogeneity in the prognosis for patients in the same category.18 When the AIC value is lower, the model is more accurate and informative.19 A p value <0.05 was considered statistically significant. The statistical measurements were performed using the SAS, V.8.0 (SAS Institute, Cary, North Carolina, USA) software program.

Results

Evaluation of the Milan criteria

The median follow-up length is 31.9 months (ranging from 3.0 to 154.4 months). In the 6012 patients, 43.7% (N=2626) fulfilled the Milan criteria. The 1-year, 3-year, 5-year and 10-year tumour-free survival for patients fulfilling and exceeding the Milan criteria were 87.3%, 77.0%, 73.0% and 53.0% vs 67.7%, 46.8%, 39.5% and 24.3% (p<0.001, figure 2 and online supplemental table S2). In the 3386 patients exceeding the Milan criteria, 2255 patients (66.6%) did not have tumour recurrence during the 5-year follow-up.
Figure 2

Survival curves for different criteria (N=6012). The overall and tumour-free survival curves for (A) the Valencia criteria, (B) University of California, San Francisco (UCSF) criteria, (C) University Clinic of Navarra (CUN) criteria and (D) Hangzhou criteria.

Survival curves for different criteria (N=6012). The overall and tumour-free survival curves for (A) the Valencia criteria, (B) University of California, San Francisco (UCSF) criteria, (C) University Clinic of Navarra (CUN) criteria and (D) Hangzhou criteria.

Expansion to the Milan criteria

Compared to the Milan criteria, the Valencia, UCSF, CUN and Hangzhou criteria provided an expansion of 12.4% (N=325), 16.3% (N=429), 19.6% (N=516) and 51.5% (N=1352), respectively (figure 3A). The tumour-free survival rates of the patients fulfilling the expanded criteria were comparable to those of the Milan criteria (p>0.05). And similar to the Milan criteria, patients fulfilling the Valencia, UCSF, CUN and Hangzhou criteria had significantly better overall and tumour-free survival compared with those exceeding the corresponding criteria (p<0.001, figure 2 and online supplementary table S2). For the patient cohort including those with perioperative mortality, the results are shown in online supplementary figure S2 and table S3.
Figure 3

The comparison of different criteria. (A) Increase in the number of eligible hepatocellular carcinoma transplant candidates compared with the Milan criteria (N=6012); (B) The time-dependent net reclassification improvement (NRI) curves for different criteria in reference to post-transplant recurrence. Patients censored before the endpoints for analysis were excluded. (C) The time-dependent area under the receiver operating characteristic curve (AUROC) value for different criteria according to death or tumour recurrence. Patients censored before the endpoints for analysis were excluded. CUN, University Clinic of Navarra criteria; UCSF, University of California, San Francisco criteria.

The comparison of different criteria. (A) Increase in the number of eligible hepatocellular carcinoma transplant candidates compared with the Milan criteria (N=6012); (B) The time-dependent net reclassification improvement (NRI) curves for different criteria in reference to post-transplant recurrence. Patients censored before the endpoints for analysis were excluded. (C) The time-dependent area under the receiver operating characteristic curve (AUROC) value for different criteria according to death or tumour recurrence. Patients censored before the endpoints for analysis were excluded. CUN, University Clinic of Navarra criteria; UCSF, University of California, San Francisco criteria.

Prognostic power of different set of criteria

Tables were constructed for the net reclassification of patients according to different criteria (see online supplemental table S4). As compared with the Milan criteria, all the four expanded criteria improved the efficiency of risk reclassification in regards to the 5-year tumour recurrence (p<0.01). Plots for the time-dependent NRI value are depicted in figure 3B. During the entire course of 5-year follow-up, the Valencia, UCSF, CUN and Hangzhou criteria all maintained a positive improvement compared with the Milan criteria. Among the four expanded criteria, the improvement referring to the Hangzhou criteria was marked in the first two years following liver transplantation. The time-dependent AUROC curves are depicted in figure 3C. During the entire course of 5-year follow-up, the Valencia, UCSF, CUN and Hangzhou criteria all maintained higher AUROC values than the Milan criteria. The Hangzhou criteria were distinguished among these criteria in the first two years after transplantation. According to the model built comprising all the five set of criteria, removing the Hangzhou criteria resulted in the greatest loss in the LRT χ2, as well as the greatest increase in the AIC value (table 1). It indicated that the Hangzhou criteria made the largest contribution to the full model regarding the prognostic ability.
Table 1

Performance of different criteria in the multivariate Cox regression model

LRT χ2 (p value)Loss in χ2AICChanges in AIC
Full model765.4 (<0.001)33 413.2
Removing Milan759.9 (<0.001)−5.533 416.63.4
Removing Valencia765.4 (<0.001)5.533 411.2−5.4
Removing UCSF764.7 (<0.001)−0.733 411.80.6
Removing CUN761.3 (<0.001)−3.433 415.33.5
Removing Hangzhou303.6 (<0.001)−154.733 570.0154.7

A multivariate Cox model was built comprising all five sets of criteria as covariates. By reducing a certain set of criteria individually from the whole model, its independent contribution was evaluated in regards to the changes in LRT χ2 and AIC value.

AIC, Akaike information criterion; CUN, University Clinic of Navarra; LRT, likelihood ratio test; UCSF, University of California, San Francisco.

Performance of different criteria in the multivariate Cox regression model A multivariate Cox model was built comprising all five sets of criteria as covariates. By reducing a certain set of criteria individually from the whole model, its independent contribution was evaluated in regards to the changes in LRT χ2 and AIC value. AIC, Akaike information criterion; CUN, University Clinic of Navarra; LRT, likelihood ratio test; UCSF, University of California, San Francisco.

Exceeding the Milan criteria

In patients exceeding the Milan criteria (N=3386), univariate analysis identified younger age (≤50 years), liver cirrhosis, poor differentiation, tumour TNM stage (III or worse), tumour burden (the largest diameter of single tumour or the cumulative tumour diameters of multiple tumours, >8 cm), vascular invasion, elevated serum AFP (>400 ng/mL) and transplants before 2005 as the risk factors for tumour recurrence (see online supplementary table S5). If taken as a single parameter and entered into multifactor Cox regression (relevant variables being excluded), ‘exceeding the Hangzhou criteria’ turned out to be an independent risk factor for tumour recurrence in patients exceeding the Milan criteria (table 2). The 1-year, 3-year, 5-year and 10-year overall survival rates for the patients exceeding the Milan criteria but fulfilling the Hangzhou criteria (N=1352) and those exceeding the Hangzhou criteria (N=2034) were 89.5%, 70.8%, 62.4% and 52.9% vs 73.0%, 42.9%, 32.8% and 22.3%, respectively (p<0.001). And the 1-year, 3-year, 5-year and 10-year tumour-free survival rates were 81.6%, 64.3%, 56.5% and 37.2% vs 58.2%, 35.1%, 28.2% and 16.3%, respectively (p<0.001, figure 4).
Table 2

Risk factors for tumour recurrence in patients exceeding the Milan criteria by multivariate Cox regression (N=3386)

VariablesGroupNBRelative risk95% CIp Value
Age (years)>501704−0.250.780.65 to 0.930.004
≤50*1682
CirrhosisNegative5090.101.110.92 to 1.350.30
Positive*2877
Year of transplant<20054470.361.471.08 to 2.040.07
2005–201022140.191.210.97 to 1.87
>2010*725
Hangzhou criteriaFulfilling1352−0.670.510.43 to 0.60<0.001
Exceeding*2034

*Reference group.

HBsAg, hepatitis B surface antigen.

Figure 4

Tumour-free survival curves for patients exceeding the Milan criteria. In patients exceeding the Milan criteria, those fulfilling the Hangzhou criteria had significantly improved tumour-free survival compared with those exceeding it (p<0.001).

Risk factors for tumour recurrence in patients exceeding the Milan criteria by multivariate Cox regression (N=3386) *Reference group. HBsAg, hepatitis B surface antigen. Tumour-free survival curves for patients exceeding the Milan criteria. In patients exceeding the Milan criteria, those fulfilling the Hangzhou criteria had significantly improved tumour-free survival compared with those exceeding it (p<0.001).

Exceeding the Milan but fulfilling the Hangzhou criteria

In those patients exceeding the Milan criteria but fulfilling the Hangzhou criteria (N=1352), both the univariate and multivariate analyses showed that AFP >100 ng/dL and tumour size >8 cm were the only two independent risk factors for tumour recurrence (table 3 and online supplemental table S6). These patients were accordingly divided into subsets I (AFP ≤100 ng/mL or tumour burden ≤8 cm, N=1201) and II (AFP >100 ng/mL and tumour burden >8 cm, N=151). The 1-year, 3-year and 5-year tumour-free survival rates for patients in subsets I and II were 83.1%, 67.0% and 59.8% vs 71.3%, 47.8% and 38.8%, respectively (p<0.001, figure 5A). Both subsets exhibited significantly greater prognosis compared with those patients exceeding the Hangzhou criteria (see online supplemental table S7).
Table 3

Risk factors for tumour recurrence in patients exceeding the Milan criteria but fulfilling the Hangzhou criteria by multivariate Cox regression (N=1352)

VariablesGroupNBRelative risk 95% CIp Value
Tumour burden (cm)5–8977−0.620.540.38 to 0.76<0.001
>8*375
AFP (ng/mL)≤100781−1.110.330.23 to 0.48<0.001
100–400280−0.610.540.36 to 0.82
>400*291
Year of transplant<20051810.681.990.83 to 4.770.11
2005–20108490.661.911.09 to 3.51
>2010322

*Reference group.

AFP, α-fetoprotein.

Figure 5

Survival analysis of the subgroup study based on the Hangzhou criteria. (A) Tumour-free survival curves of different subsets of patients exceeding the Milan but fulfilling Hangzhou criteria. Subset I: tumour burden ≤8 cm or α-fetoprotein (AFP) ≤100 ng/mL; subset II: tumour burden >8 cm but AFP between 100 and 400 ng/mL. Subset I had significantly better prognosis than Subset II (p<0.001). (B) The tumour-free survival curves for the stratified Hangzhou criteria. The Hangzhou criteria were stratified into (1) type A: tumour burden ≤8 cm or AFP ≤100 ng/mL; (2) type B: tumour burden >8 cm but AFP between 100 and 400 ng/mL. Type A had significantly better prognosis than type B (p<0.001). Both types A and B had significantly improved prognosis compared with those patients exceeding the Hangzhou criteria (p<0.001).

Risk factors for tumour recurrence in patients exceeding the Milan criteria but fulfilling the Hangzhou criteria by multivariate Cox regression (N=1352) *Reference group. AFP, α-fetoprotein. Survival analysis of the subgroup study based on the Hangzhou criteria. (A) Tumour-free survival curves of different subsets of patients exceeding the Milan but fulfilling Hangzhou criteria. Subset I: tumour burden ≤8 cm or α-fetoprotein (AFP) ≤100 ng/mL; subset II: tumour burden >8 cm but AFP between 100 and 400 ng/mL. Subset I had significantly better prognosis than Subset II (p<0.001). (B) The tumour-free survival curves for the stratified Hangzhou criteria. The Hangzhou criteria were stratified into (1) type A: tumour burden ≤8 cm or AFP ≤100 ng/mL; (2) type B: tumour burden >8 cm but AFP between 100 and 400 ng/mL. Type A had significantly better prognosis than type B (p<0.001). Both types A and B had significantly improved prognosis compared with those patients exceeding the Hangzhou criteria (p<0.001).

The stratification of the Hangzhou criteria: A and B

This study then stratified the Hangzhou criteria as type A (tumour burden ≤8 cm regardless of AFP and differentiation, or tumour burden >8 cm but AFP ≤100 ng/mL and well-moderate differentiation, N=3827) and type B (tumour burden >8 cm but AFP between 100 and 400 ng/mL and well-moderate differentiation, N=151), as illustrated in online supplemental figure S3. The 1-year, 3-year and 5-year tumour-free survival rates were 86.1%, 74.4% and 69.5% vs 71.3%, 47.8% and 38.8% for types A and B, respectively (p<0.001). Patients of both types had significantly improved prognosis compared with those exceeding the Hangzhou criteria (figure 5B).

Discussion

The Milan criteria represent a milestone in the development of liver transplantation. The implementation of this set of criteria in the United Network for Organ Sharing system proved it successful in the assignment of listing priority for patients with HCC.20 However, concerns remained that the restrictive prerequisites might discard a substantial number of patients who could otherwise have done well after transplantation. In particular in China, around 40% of donor livers are allocated to HCC recipients. If strictly adhered to the Milan criteria, only 43.8% of patients in this study would have the opportunity of transplantation. Meanwhile, in those patients exceeding the Milan criteria, there were still two-thirds of patients who did not have tumour recurrence during the 5-year follow-up. Current organ allocation policies based on the Milan criteria do not adapt to the development of liver transplantation. Promisingly, recent studies have defined subsets of patients exceeding the Milan criteria but still with equivalent outcomes. Four well-known expanded criteria derived from these studies were included in this study. As shown in figure 3A, the different expanded criteria provided an extremely wide variety of increased numbers of eligible candidates, up to one half by the Hangzhou criteria. On the other hand, the overall and tumour-free survivals of patients fulfilling the Valencia, UCSF, CUN and Hangzhou criteria were comparable to those of the Milan criteria (see online supplementary table S2). Volk et al's study21 demonstrated that a threshold of 61% at 5-year overall survival was demanded to assess the validity of expansion to the Milan criteria, at least in the USA. In our study, the 5-year overall survival rate was 62% or higher for the newly recruited subsets by the expanded criteria. The results indicated that the Milan criteria can be expanded. Although the post-transplant survival is acceptable for the expanded criteria, we still observed decrease in the survival rates for the patients exceeding Milan but fulfilling the expanded criteria compared with those fulfilling Milan. It is a different matter whether those newly recruited patients by the expanded criteria are still good enough to be considered for liver transplant. For our part, a tumour-free survival of >80% and >55% at 1 and 5 years (in the expansion to the Milan criteria), respectively, is acceptable. Therefore, the patients exceeding Milan but fulfilling the expanded criteria may still be appropriate for liver transplant, particularly in China, which bears the greatest HCC burden worldwide. To provide more evidence to support the expanded criteria, this study then employed the method of NRI analysis, which was proposed by Pencina et al in 2008.14 Focusing on the patients exceeding the Milan but fulfilling the expanded criteria, NRI reflects the general changes in the prognostic-classificating efficiency when switching from the Milan criteria to the other. This novel statistical method has presently been applied in survival analysis for medical research.22 23 As shown in online supplementary table S4, the expanded criteria significantly improved the risk reclassification compared with the Milan criteria, indicating that performing transplants on patients exceeding the Milan but fulfilling the expanded criteria brought benefits to the general outcome. Furthermore, if we take the Hangzhou criteria for an instance, ‘exceeding the Hangzhou criteria’ (considered as a variable) was the independent prognostic factor for tumour recurrence in patients exceeding the Milan criteria. It implied that patients exceeding Milan but fulfilling Hangzhou criteria could achieve a relatively better prognosis. In addition, according to the time-dependent NRI and AUROC curves, the Hangzhou criteria had a distinguished prognostic value in the early years after transplants (<2 years) compared with the other criteria. Meanwhile, now we are trying to improve the long-term post-transplant survival using various ways such as adjuvant chemotherapy, immunotherapy and molecular targeted therapy (sorafenib). Anti-HBV therapy is also of vital importance for the prevention of tumour recurrence. However, considering the shortage of organ sources, more evidence is needed for the choice of selecting criteria in clinical practice. In patients exceeding the Milan criteria but fulfilling the Hangzhou criteria, we further stratified subgroups to help select the optimal candidates. We found that AFP ≤100 ng/mL and tumour burden ≤8 cm were the only two independent prognostic factors, and the AFP value ≤100 ng/mL was of great value in discriminating those with promising outcomes (table 3 and online supplemental table S6). As shown in figure 5B and online supplementary table S7, the Hangzhou criteria were subsequently stratified as type A (tumour burden ≤8 cm, or tumour burden >8 cm but with AFP ≤100 ng/mL and well-moderate differentiation) and B (tumour burden >8 cm but AFP between 100 and 400 ng/mL and well-moderate differentiation). In regards to the post-transplant survival of patients in the different types, it is reliable to select type A as the optimal candidate for transplantation. As for the patients in type B, whether neoadjuvant and post-transplant adjuvant therapy would help them achieve acceptable outcomes needs further investigation. On the other hand, considering the relatively poor prognosis as well as the shortage of organ source, Hangzhou B could be regarded as a relative contraindication for liver transplantation. A limitation of this study was that both the establishment and verification of the Hangzhou criteria were based on the Chinese population. It should also be clarified whether the Hangzhou criteria are effective and safe in Western cohorts. Another issue to consider is the need of pretransplant differentiation grading in the Hangzhou criteria. In fact, the Hangzhou criteria suggest a need of biopsy only in the situation of tumour burden >8 cm and AFP ≤400 ng/mL (920/6012 of the whole cohort) since tumour burden and AFP should be adequate for the judgements in all the other cases. Moreover, biopsy can be performed safely with experienced doctors and standard procedures.24 25 Also, there exist other valuable criteria that were not included in this study, such as the Up-to-7 criteria,26 that require information about microvascular invasion. In conclusion, the Milan criteria can be safely and effectively expanded. The prognostic stratification system based on the Hangzhou criteria serves as a hierarchy of transplant candidates for HCC. Patients fulfilling Hangzhou type A should have the priority for liver transplantation.
  26 in total

Review 1.  Summary of candidate selection and expanded criteria for liver transplantation for hepatocellular carcinoma: a review and consensus statement.

Authors:  K Raj Prasad; Richard S Young; Patrizia Burra; Shu-Sen Zheng; Vincenzo Mazzaferro; Duk Bog Moon; Richard B Freeman
Journal:  Liver Transpl       Date:  2011-10       Impact factor: 5.799

2.  The significance of DNA image cytometry and Edmondson-Steiner grading on prognosis after curative resection of hepatocellular carcinoma.

Authors:  A Petrou; I D Xynos; K Tsigritis; G Agrogiannis; K Mihas; A Manzelli; E Prassas; N Brennan; N Kavantzas; E Felekouras
Journal:  J BUON       Date:  2011 Jan-Mar       Impact factor: 2.533

3.  Influence of tumor characteristics on the outcome of liver transplantation among patients with liver cirrhosis and hepatocellular carcinoma.

Authors:  J I Herrero; B Sangro; J Quiroga; F Pardo; M Herraiz; J A Cienfuegos; J Prieto
Journal:  Liver Transpl       Date:  2001-07       Impact factor: 5.799

4.  Global cancer statistics, 2002.

Authors:  D Max Parkin; Freddie Bray; J Ferlay; Paola Pisani
Journal:  CA Cancer J Clin       Date:  2005 Mar-Apr       Impact factor: 508.702

5.  Liver transplantation for hepatocellular carcinoma: expansion of the tumor size limits does not adversely impact survival.

Authors:  F Y Yao; L Ferrell; N M Bass; J J Watson; P Bacchetti; A Venook; N L Ascher; J P Roberts
Journal:  Hepatology       Date:  2001-06       Impact factor: 17.425

6.  Liver transplantation for hepatocellular carcinoma: a model including α-fetoprotein improves the performance of Milan criteria.

Authors:  Christophe Duvoux; Françoise Roudot-Thoraval; Thomas Decaens; Fabienne Pessione; Hanaa Badran; Tullio Piardi; Claire Francoz; Philippe Compagnon; Claire Vanlemmens; Jérome Dumortier; Sébastien Dharancy; Jean Gugenheim; Pierre-Henri Bernard; René Adam; Sylvie Radenne; Fabrice Muscari; Filomena Conti; Jean Hardwigsen; Georges-Philippe Pageaux; Olivier Chazouillères; Ephrem Salame; Marie-Noelle Hilleret; Pascal Lebray; Armand Abergel; Marilyne Debette-Gratien; Michael D Kluger; Ariane Mallat; Daniel Azoulay; Daniel Cherqui
Journal:  Gastroenterology       Date:  2012-06-29       Impact factor: 22.682

7.  Expanded criteria for liver transplantation in patients with cirrhosis and hepatocellular carcinoma.

Authors:  Mauricio Silva; Angel Moya; Marina Berenguer; Fernando Sanjuan; Rafael López-Andujar; Eugenia Pareja; Rodrigo Torres-Quevedo; Victoria Aguilera; Eva Montalva; Manuel De Juan; Angelo Mattos; Martín Prieto; José Mir
Journal:  Liver Transpl       Date:  2008-10       Impact factor: 5.799

8.  Fine needle aspiration cytopathology of liver masses: 101 cases with cyto-/histopathological analysis.

Authors:  Sevgiye Kaçar Özkara; Irem Ozöver Tuneli
Journal:  Acta Cytol       Date:  2013-07-12       Impact factor: 2.319

9.  Liver transplantation for hepatocellular carcinoma: the MELD impact.

Authors:  Pratima Sharma; Vijayan Balan; Jose L Hernandez; Ann M Harper; Erick B Edwards; Hector Rodriguez-Luna; Thomas Byrne; Hugo E Vargas; David Mulligan; Jorge Rakela; Russell H Wiesner
Journal:  Liver Transpl       Date:  2004-01       Impact factor: 5.799

10.  A meta-analysis of case-control studies on the combined effect of hepatitis B and C virus infections in causing hepatocellular carcinoma in China.

Authors:  J Shi; L Zhu; S Liu; W-F Xie
Journal:  Br J Cancer       Date:  2005-02-14       Impact factor: 7.640

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  59 in total

1.  The MTHFR polymorphism affect the susceptibility of HCC and the prognosis of HCC liver transplantation.

Authors:  C Wang; H Xie; D Lu; Q Ling; P Jin; H Li; R Zhuang; X Xu; S Zheng
Journal:  Clin Transl Oncol       Date:  2017-11-28       Impact factor: 3.405

2.  Milan criteria and its expansions in liver transplantation for hepatocellular carcinoma.

Authors:  Zhijun Zhu
Journal:  Hepatobiliary Surg Nutr       Date:  2016-12       Impact factor: 7.293

Review 3.  Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update.

Authors:  Masao Omata; Ann-Lii Cheng; Norihiro Kokudo; Masatoshi Kudo; Jeong Min Lee; Jidong Jia; Ryosuke Tateishi; Kwang-Hyub Han; Yoghesh K Chawla; Shuichiro Shiina; Wasim Jafri; Diana Alcantara Payawal; Takamasa Ohki; Sadahisa Ogasawara; Pei-Jer Chen; Cosmas Rinaldi A Lesmana; Laurentius A Lesmana; Rino A Gani; Shuntaro Obi; A Kadir Dokmeci; Shiv Kumar Sarin
Journal:  Hepatol Int       Date:  2017-06-15       Impact factor: 6.047

Review 4.  Hepatocellular Carcinoma and Liver Transplantation: Changing Patterns and Practices.

Authors:  Nicole E Rich; Neehar D Parikh; Amit G Singal
Journal:  Curr Treat Options Gastroenterol       Date:  2017-06

5.  Inhibition of mTORC1 signaling sensitizes hepatocellular carcinoma cells to glycolytic stress.

Authors:  Xin Zhao; Peng Jiang; Xiang Deng; Zhonghu Li; Feng Tian; Fei Guo; Xiaowu Li; Shuguang Wang
Journal:  Am J Cancer Res       Date:  2016-10-01       Impact factor: 6.166

6.  Indications for living donor liver transplantation in patients with hepatocellular carcinoma.

Authors:  Yasuhiko Sugawara; Yukihiro Inomata
Journal:  Hepatobiliary Surg Nutr       Date:  2016-10       Impact factor: 7.293

Review 7.  Liver transplantation for hepatocellular carcinoma from living-donor vs. deceased donor.

Authors:  Nobuhisa Akamatsu; Norihiro Kokudo
Journal:  Hepatobiliary Surg Nutr       Date:  2016-10       Impact factor: 7.293

8.  Hepatocellular carcinoma beyond Milan criteria: Management and transplant selection criteria.

Authors:  Mohammed Elshamy; Federico Aucejo; K V Narayanan Menon; Bijan Eghtesad
Journal:  World J Hepatol       Date:  2016-07-28

Review 9.  Heterogeneous responses in hepatocellular carcinoma: the achilles heel of immune checkpoint inhibitors.

Authors:  Zuyuan Lin; Di Lu; Xuyong Wei; Jianguo Wang; Xiao Xu
Journal:  Am J Cancer Res       Date:  2020-04-01       Impact factor: 6.166

Review 10.  Hepatocellular carcinoma: when is liver transplantation oncologically futile?

Authors:  André Viveiros; Heinz Zoller; Armin Finkenstedt
Journal:  Transl Gastroenterol Hepatol       Date:  2017-07-24
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