Skip to main content
Springer logoLink to Springer
. 2016 Aug 16;24(2):526–534. doi: 10.1245/s10434-016-5500-0

The Warsaw Proposal for the Use of Extended Selection Criteria in Liver Transplantation for Hepatocellular Cancer

Michał Grąt 1,, Karolina M Wronka 1, Jan Stypułkowski 1, Emil Bik 1, Maciej Krasnodębski 1, Łukasz Masior 1, Zbigniew Lewandowski 2, Karolina Grąt 3, Waldemar Patkowski 1, Marek Krawczyk 1
PMCID: PMC5215188  PMID: 27531306

Abstract

Background

Combination of the University of California, San Francisco (UCSF) and the up-to-7 criteria with alpha-fetoprotein (AFP) cutoff of 100 ng/ml was proposed as the Warsaw expansion of the Milan criteria in selection of hepatocellular cancer (HCC) patients for liver transplantation. The purpose of this retrospective study was to validate this proposal.

Methods

A total of 240 HCC patients after liver transplantation were included. Recurrence-free survival and overall survival at 5 years were set as the primary and secondary outcome measures, respectively.

Results

The Warsaw expansion increased transplant eligibility rate by 20.3 %. AFP >100 ng/ml significantly increased the recurrence risk in patients within the Milan criteria (p = 0.025) and in those beyond, yet within either the UCSF or the up-to-7 criteria (p < 0.001). Recurrence-free survival at 5 years was 90.8 % for patients within the Milan criteria, 100.0 % in patients within the Warsaw expansion, 54.9 % in patients beyond the Warsaw expansion but within either the UCSF or the up-to-7 criteria, and 45.1 % in patients beyond both the UCSF and the up-to-7 criteria (p < 0.001). The corresponding overall survival rates were 71.6, 82.4, 64.3, and 55.3 %, respectively (p = 0.027).

Conclusions

The Warsaw expansion of the Milan criteria substantially increases the recipient pool without compromising outcomes.


Liver transplantation is the optimal treatment for selected patients with hepatocellular cancer (HCC) and liver cirrhosis.1,2 Despite available evidence for the superiority of long-term outcomes of patients undergoing liver transplantation as a first-line management over those undergoing liver resection or salvage liver transplantation, its use remains limited by the worldwide shortage of donors.38 Accordingly, the restrictive Milan criteria (1 tumor <5 cm or 2–3 tumors <3 cm each combined with the absence of extrahepatic lesions or macrovascular invasion) introduced two decades ago are still the gold standard in selecting patients eligible for transplantation, despite the increasing number of reports on the noninferiority of their modest expansion.913 Of numerous morphology-based expansion proposals, the University of California, San Francisco criteria (1 tumor <6.5 cm or 2–3 tumors <4.5 cm with total tumor diameter <8 cm) and the up-to-7 criteria (sum of number of tumors and size of the largest tumor in cm not exceeding 7) appear most popular and widely evaluated.14,15 However, the risk of posttransplant recurrence is dependent upon morphological tumor burden and long-term survival of patients undergoing liver transplantation for HCC is inferior to those with benign indications even with the widespread use of Milan criteria.1618 Therefore, expansion of limits for tumor size and number is subject to criticism.1921

Considering the increasing evidence for the independent role of serum tumor markers, particularly alpha-fetoprotein (AFP), in prediction of posttransplant tumor recurrence, modification of the morphology-based criteria using these markers of biological aggressiveness seems not only justified, but also necessary.2225 Notably, while serum tumor markers already have been included in several criteria proposals utilized in Asian countries, utilization of such strategy is uncommon in European and American countries, besides a recent French AFP model by Duvoux et al. and the AFP total tumor volume (TTV) criteria by Toso et al.2632 In view of geographical discrepancies in the selection criteria and following a detailed set of analyses of the associations between pretransplant AFP and the risk of posttransplant tumor recurrence, AFP was included in the Warsaw proposal for safe extension of Milan criteria. Briefly, it defines patient eligibility either (1) by fulfillment of the Milan criteria, irrespective of pretransplant AFP, or (2) fulfillment of the up-to-7 or UCSF criteria and AFP <100 ng/ml.33 In the initial study, the latter subgroup was characterized by the ideal 5-year, recurrence-free survival of 100 %. This proposal was started to be taken under consideration during selection of HCC patients for liver transplantation since the beginning of 2013. Therefore, the purpose of the present study was to evaluate the efficacy of the Warsaw proposal for selection of HCC patients for liver transplantation in provision of acceptable low-risk of post-transplant recurrence.

Methods

A total of 1602 liver transplantations were performed in the Department of General, Transplant and Liver Surgery at the Medical University of Warsaw (Poland) during the period between December 1989 and April 2015. This retrospective cohort study was performed using the data of 240 patients after liver transplantation for HCC between January 2001 and April 2015. The study protocol was approved by the local ethics committee of the Medical University of Warsaw.

Tumor recurrence at 5-year, follow-up period was set as a primary endpoint of the study, with 5-year recurrence free survival (RFS) being the primary outcome measure. The 5-year RFS was calculated as the time from liver transplantation until diagnosis of recurrence and was censored at the date of last follow-up or death from a nonmalignant cause. The secondary endpoint was patient death at 5 years (irrespective of the cause), which was used to calculate overall survival (OS, secondary outcome measure). Details on the center’s experience, perioperative management, operative technique, immunosuppression protocol, and long-term follow-up were provided elsewhere.34,35

Primary and secondary outcome measures were evaluated separately in patients (1) within the Milan criteria, (2) beyond the Milan criteria but within the up-to-7 or the UCSF criteria with AFP <100 ng/ml (Warsaw proposal for extension of the Milan criteria), (3) >100 ng/ml, and (4) in patients beyond both the UCSF and the up-to-7 criteria. The particular selection criteria and last pretransplant AFP, as primary variables of interest, were assessed as risk factors for tumor recurrence at 5 years. This was done both in a series of univariable analyses and in multivariable analyses, following adjustment for the impact of other risk factors for rumor recurrence.

Quantitative variables were presented as medians (interquartile ranges) and qualitative variables were presented as numbers (percentages). Kruskal–Wallis test and Chi-square test were used for intergroup comparisons, as appropriate. Kaplan-Meier estimator was used to calculate survival curves and log-rank test was used for the corresponding comparisons. Reverse Kaplan–Meier method was used to calculate median follow-up. Cox proportional hazards regression models were used to evaluate the risk factors for tumor recurrence. Due to the number of events, a series of three variable models were used instead of a one multivariable model. Hazard ratios (HRs) were presented with 95 % confidence intervals (95% CI). The level of statistical significance was set to 0.05. STATISTICA version 12 software (StatSoft Inc., Tulsa, OK) was applied for computing statistical analyses.

Results

Of 240 patients included in the study, 143 (59.6 %) were within the Milan criteria, 171 (71.3 %) were within the UCSF criteria, and 181 (75.4 %) were within the up-to-7 criteria. Compared with the fulfillment of Milan criteria, utilization of Warsaw extension results in 20.3 % increase in the number of potential HCC recipients (143–172). Comparisons of baseline characteristics between patients within the Milan criteria, beyond the Milan criteria but within the UCSF or the up-to-7 criteria with AFP <100 ng/ml (Warsaw extension), and beyond that limits are presented in Table 1. Besides fulfillment of the particular selection criteria, significant differences between these subgroups were found with respect to AFP concentration (p < 0.001), number of tumors (p < 0.001), size of the largest tumor (p < 0.001), total tumor volume (p < 0.001), microvascular invasion (p < 0.001), tumor differentiation (p = 0.037), and neoadjuvant treatment (p = 0.040). Median follow-up was 34 months. In the entire study cohort, 31 patients developed tumor recurrence within 5 years posttransplantation with the RFS rates of 92.3 % at 1 year, 84.8 % at 3 years, and 79.5 % at 5 years. There were 49 deaths in the 5-year posttransplant period with the corresponding OS rates of 89.0, 79.8, and 68.8 %, respectively.

Table 1.

Comparison of baseline characteristics between patients within the Milan criteria, patients beyond Milan criteria but within the UCSF or up-to-7 criteria with AFP <100 ng/ml (the Warsaw extension), and patients beyond the Warsaw extension

Characteristics Within Milan criteria (n = 143) Warsaw extension (n = 29) Beyond Warsaw extension (n = 68) P
Recipient gender 0.251
 Male 100 (69.9 %) 19 (65.5 %) 54 (79.4 %)
 Female 43 (30.1 %) 10 (34.5 %) 14 (20.6 %)
Recipient age (yr) 57 (52–61) 58 (53–61) 56 (52–61) 0.573
MELD 11 (9–13) 9 (7–12) 11 (8–14) 0.183
HCV infection 100 (69.9 %) 20 (69.0 %) 49 (72.1 %) 0.935
HBV infection 64 (44.8 %) 12 (41.4 %) 26 (38.2 %) 0.664
Within UCSF criteria 143 (100.0 %) 19 (65.5 %) 9 (13.2%) <0.001
Within up-to-7 criteria 143 (100.0 %) 27 (93.1 %) 11 (16.2 %) <0.001
Number of tumors 1 (1–2) 2 (1–3) 4 (2–7) <0.001
Size of the largest tumor (mm) 25 (15–33) 40 (33–51) 45 (35–60) <0.001
Total tumor volume (cm3) 8 (2–22) 44 (28–80) 88 (49–131) <0.001
Pretransplant AFP (ng/ml) 13 (5–58) 11 (6–21) 114 (14–914) <0.001
Pretransplant AFP <0.001
 >100 ng/ml 28 (20.4 %) 0 (0.0 %) 34 (50.7 %)
 <100 ng/ml 109 (79.6 %) 29 (100.0 %) 33 (49.3 %)
Poor tumor differentiation 9 (6.3 %) 3 (10.3 %) 12 (17.6 %) 0.037
Microvascular invasion 22 (15.5 %) 11 (39.3 %) 34 (52.3 %) <0.001
Neoadjuvant treatment 57 (39.9 %) 19 (65.5 %) 30 (44.1 %) 0.040
Total ischemic time (hr) 9.0 (8.0–10.4) 9.8 (8.5–10.5) 9.3 (8.0–10.3) 0.553
Intraoperative PRBC transfusions (units) 3 (0–6) 3 (2–5) 4 (2–6) 0.420
Intraoperative FFP transfusions (units) 6 (4–10) 7 (5–10) 7 (5–10) 0.232

Data are presented as medians (interquartile ranges) or numbers (percentages)

UCSF University of California, San Francisco; AFP alpha-fetoprotein; MELD model for end-stage liver disease; HCV hepatitis C virus; HBV hepatitis B virus; PRBC packed red blood cells; FFP fresh frozen plasma

According to the results of univariable analyses, the Milan criteria (p < 0.001), the UCSF criteria (p < 0.001), the up-to-7 criteria (p < 0.001), and the last pretransplant AFP (p < 0.001) were significantly associated with the risk of posttransplant tumor recurrence (Table 2). Other risk factors comprised younger recipient age (p = 0.034), presence of microvascular invasion (p = 0.029), poor tumor differentiation (p = 0.013), and morphological tumor features: number of tumors (p < 0.001), size of the largest tumor (p = 0.001), and total tumor volume (p < 0.001). Notably, AFP >100 ng/ml was a significant risk factor for tumor recurrence in patients within the Milan criteria (HR 7.00; 95 % CI 1.28–38.3; p = 0.025) and in those beyond the Milan criteria but within either the UCSF or the up-to-7 criteria (100.0 vs. 54.9 %, p < 0.001), however not in patients beyond both the UCSF and the up-to-7 criteria (HR 1.73; 95 % CI 0.70–4.29; p = 0.236). Furthermore, a series of multivariable (3-factor) analyses revealed that nonfulfillment of each of the analyzed criteria and AFP >100 ng/ml were independent risk factors for worse 5-year RFS (Table 3). As each of the three particular selection criteria are solely defined by morphological tumor features, number of tumors, size of the largest tumor and total tumor volume were not included in the multivariable models.

Table 2.

Results of univariable analyses of risk factors for 5-year tumor recurrence

Factors Hazard ratio 95 % confidence interval P
Male recipient gender 0.84 0.39–1.83 0.663
Recipient age 0.97 0.93–0.99 0.034
MELD 0.99 0.92–1.07 0.814
HCV infection 1.00 0.47–2.13 0.998
HBV infection 1.41 0.69–2.85 0.343
Within Milan criteria 0.22 0.10–0.48 <0.001
Within UCSF criteria 0.25 0.12–0.50 <0.001
Within up-to-7 criteria 0.17 0.08–0.36 <0.001
Number of tumors 1.31 1.18–1.44 <0.001
Size of the largest tumor 1.02 1.01–1.04 0.001
Total tumor volume 1.01 1.01–1.02 <0.001
Pre-transplant AFP >100 ng/ml 4.30 2.05–9.00 <0.001
Poor tumor differentiation 2.90 1.25–6.73 0.013
Microvascular invasion 2.23 1.09–4.57 0.029
Neoadjuvant treatment 1.36 0.67–2.76 0.393
Total ischemic time 1.15 0.94–1.39 0.172
Intraoperative PRBC transfusions 1.00 0.93–1.07 0.986
Intraoperative FFP transfusions 0.98 0.90–1.06 0.626

Hazard ratios were given per: 1 year increase for recipient age; 1 point increase for model for end-stage liver disease; 1 tumor more for number of tumors; 1 mm increase for the size of the largest tumor; 10 cm3 increase for total tumor volume; 1 loge increase for alpha-fetoprotein; 1 h increase for total ischemic time; and 1 unit increase for packed red blood cells and fresh frozen plasma transfusions

MELD model for end-stage liver disease; HCV hepatitis C virus; HBV hepatitis B virus; UCSF University of California, San Francisco; AFP alpha-fetoprotein; PRBC packed red blood cells; FFP fresh frozen plasma

Table 3.

Multivariable (3-factor) analyses of the associations between fulfillment of particular selection criteria and AFP over 100 ng/ml and the risk of posttransplant tumor recurrence

Factors The effects of selection criteria fulfillment and AFP on recurrence-free survival adjusted for
Microvascular invasion Poor tumor differentiation Recipient age
HR (95 % CI) P HR (95 % CI) P HR (95 % CI) P
Milan criteria and AFP
 Within Milan criteria 0.20 (0.08–0.50) <0.001 0.19 (0.08–0.48) <0.001 0.18 (0.07–0.44) <0.001
 AFP >100 ng/ml 3.98 (1.87–8.47) <0.001 3.56 (1.69–7.52) <0.001 3.46 (1.62–7.41) 0.001
UCSF criteria and AFP
 Within UCSF criteria 0.26 (0.12–0.57) <0.001 0.25 (0.11–0.54) <0.001 0.23 (0.10–0.50) <.001
 AFP >100 ng/ml 3.83 (1.81–8.12) <0.001 3.31 (1.55–7.08) 0.002 3.38 (1.58–7.22) .002
Up-to-7 criteria and AFP
 Within up-to-7 criteria 0.19 (0.08–0.42) <0.001 0.17 (0.08–0.37) <0.001 0.18 (0.08–0.38) <.001
 AFP >100 ng/ml 3.60 (1.69–7.64) <0.001 3.18 (1.50–6.75) 0.003 3.27 (1.53–6.99) .002

AFP alpha-fetoprotein; HR hazard ratio; 95 % CI 95 % confidence interval; UCSF University of California, San Francisco

Patients within the Milan criteria exhibited a 5-year RFS rate of 90.8 %, significantly higher than that observed for patients beyond the Milan criteria (64.2 %, p < 0.001; Fig. 1a). The OS rates in the corresponding subgroups were 71.6% and 65.4%, respectively (p = 0.055; Fig. 1b). Compared with patients within the Milan criteria, patients beyond Milan but within either the UCSF or the up-to-7 criteria exhibited nonsignificantly lower 5-year RFS of 88.0 % (p = 0.350), yet higher than that observed for patients beyond the UCSF and the up-to-7 criteria (45.1 %, p = 0.004; Fig. 1c). The only significant difference between these subgroups with respect to OS was found between patients within the Milan criteria and those beyond the up-to-7 and the UCSF criteria (71.6 vs. 55.3 %, p = 0.012; Fig. 1d). Notably, RFS at 5 years for patients beyond the Milan criteria but within their Warsaw extension was 100 % compared with 90.8 % in patients within the Milan criteria (p = 0.161), 54.9 % in patients beyond the Milan criteria but within either the UCSF or the up-to-7 criteria and AFP >100 ng/ml (p < 0.001), and 45.1 % in patients beyond the UCSF and the up-to-7 criteria (p < 0.001; Fig. 2a). At 5 years, OS was significantly better for both patients within the Milan criteria (71.6 %) and those beyond the Milan criteria but within their Warsaw extension (82.4 %) compared with patients beyond the UCSF and the up-to-7 criteria (55.3 %, p = 0.012, 0.045, respectively; Fig. 2b). Finally, patients within the Warsaw extended criteria exhibited 5-year RFS and OS rates of 92.5 and 73.5%, respectively, compared with the corresponding rates of 47.9 % (p < 0.001) and 57.4 % (p = 0.004), respectively, in patients beyond these criteria (Fig. 2c, d).

Fig. 1.

Fig. 1

Recurrence-free survival and overall survival curves in patients within (solid lines) and beyond (dashed lines) the Milan criteria (a, b) and in patients within the Milan criteria (solid lines), beyond the Milan but within either the UCSF or the up-to-7 criteria (dashed lines), and beyond (dotted lines) both the UCSF and the up-to-7 criteria (c, d). Numbers of patients at risk are presented below the particular graphs

Fig. 2.

Fig. 2

Recurrence-free survival and overall survival curves in patients within the Milan criteria (solid lines), beyond the Milan criteria but within the Warsaw expansion (short-dashed lines), beyond the Milan criteria and Warsaw expansion but within either the UCSF or the up-to-7 criteria (dotted lines), and beyond both the UCSF and the up-to-7 criteria (long-dashed lines) (a, b) and in patients within (solid lines) and beyond (dashed lines) the Warsaw criteria (c, d). Numbers of patients at risk are presented below the particular graphs

Discussion

To keep the rates of tumor recurrence after liver transplantation for HCC within the acceptable limits and long-term posttransplant survival of HCC patients comparable to recipients with nonmalignant diseases, the Milan criteria remained the benchmark for assessing patient eligibility for transplantation for the past two decades. The results of previous study from the authors’ department provided the rationale for expansion of these criteria based on the combination of two well-known morphological expansions, namely the UCSF and the up-to-7 criteria, and the biological criterion of AFP <100 ng/ml.33 The results of the present study provide further evidence on the lack of any negative effects associated with expansion of the Milan criteria into the Warsaw expanded criteria.

The major disadvantage of the proposals for expansion of Milan criteria based only on morphological features is the potential risk of concomitant increase in the risk of posttransplant tumor recurrence. Despite the optimistic results of prospective validation of the UCSF criteria and the results of several retrospective studies indicating acceptable posttransplant outcomes in patients within either of the two expanded criteria, increase in tumor number and size is a well-known factor associated with the recurrence risk.15,3640 In fact, the significant effects of tumor number and size have been the basis for creation of the Metroticket model.15 Accordingly, patients beyond Milan but within the limits of the UCSF criteria were previously reported to exhibit inferior long-term outcomes.41,42 In the present study, all morphological tumor characteristics were found to be significantly associated with the risk of posttransplant recurrence. Although the long-term outcomes were not significantly compromised in patients beyond Milan but within either the UCSF or the up-to-7 criteria, this might have been affected by the type II error or, less probably, by the selection bias.

Performed analyses revealed that last pretransplant AFP was an independent risk factor for tumor recurrence; however, the effects varied with respect to fulfillment of different selection criteria. Notably, while the negative impact of AFP >100 ng/ml was statistically and clinically significant in patients within the Milan criteria and beyond the Milan but within the extended criteria, no effects were observed in patients beyond the extended criteria. These results clearly support addition of biological criterion of AFP into the morphological criteria. Most importantly, the null rate of recurrence remained unchanged since the previous analysis, despite both doubling the number of patients and prolongation of the follow-up period for those included in the initial study. Moreover, the findings are further supported by incorporation of the Warsaw extended criteria in the decision-making process regarding selection of patients in the authors’ department since 2013, potentially reducing the risk of selection bias.

Besides several selection criteria utilized in Asia, the concept of combining the biological tumor markers with morphological features is emerging in the Western perspective of liver transplantation for HCC. Important alternatives to the Warsaw extended criteria currently comprise the AFP model introduced by Duvoux et al. and the TTV/AFP introduced by Toso et al.31,32 Subsequent studies validated the AFP model with respect to both long-term outcomes and net health benefit and the TTV/AFP criteria with respect to long-term outcomes.4346 In contrast to these highly relevant proposals of complete redefinition of the Milan criteria, the Warsaw proposal provides an option to expand them in a more conservative fashion, by using the well-established UCSF and up-to-7 criteria. Therefore, AFP cutoff of 100 ng/ml is used in fact as an exclusion criterion, to bring the risk of tumor recurrence associated with increasing tumor burden to or below the level provided by the Milan criteria. Presumably, the use of the Warsaw extended criteria would expand the pool of potential HCC recipients by approximately 20 %, similar to the TTV/AFP criteria and the UCSF criteria, yet lower to the up-to-7 criteria.47

Recently, the pretransplant AFP slope has been reported to be a novel predictor of HCC recurrence after liver transplantation.48 Nevertheless, this was not confirmed by several other studies, including that of the authors of this manuscript.49,50 However, the last pretransplant AFP also provides a dynamic assessment of patients eligibility for transplantation, as the AFP values are subject to spontaneous or neoadjuvant treatment-related changes in the pretransplant period.

In conclusion, the results of the present study provide further evidence for the potential lack of negative effects associated with the use of the Warsaw expansion of Milan criteria in selection of patients with HCC for liver transplantation.

Acknowledgments

Funding

The study did not receive funding.

Conflict of interest

There are no conflicts of interests to declare.

References

  • 1.Bruix J, Han KH, Gores G, Llovet JM, Mazzaferro V. Liver cancer: approaching a personalized care. J Hepatol. 2015;62(1 Suppl):S144–S156. doi: 10.1016/j.jhep.2015.02.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kumar A, Acharya SK, Singh SP, et al. The Indian National Association for Study of the Liver (INASL) consensus on prevention, diagnosis and management of hepatocellular carcinoma in India: the Puri recommendations. J Clin Exp Hepatol. 2014;4(Suppl 3):S3–S26. doi: 10.1016/j.jceh.2014.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chapman WC, Klintmalm G, Hemming A, et al. Surgical treatment of hepatocellular carcinoma in North America: can hepatic resection still be justified? J Am Coll Surg. 2015;220:628–637. doi: 10.1016/j.jamcollsurg.2014.12.030. [DOI] [PubMed] [Google Scholar]
  • 4.Seshadri RM, Besur S, Niemeyer DJ, et al. Survival analysis of patients with stage I and II hepatocellular carcinoma after a liver transplantation or liver resection. HPB (Oxford). 2014;16:1102–1109. doi: 10.1111/hpb.12300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Squires MH, 3rd, Hanish SI, Fisher SB, et al. Transplant versus resection for the management of hepatocellular carcinoma meeting Milan Criteria in the MELD exception era at a single institution in a UNOS region with short wait times. J Surg Oncol. 2014;109:533–541. doi: 10.1002/jso.23531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Zheng Z, Liang W, Milgrom DP, et al. Liver transplantation versus liver resection in the treatment of hepatocellular carcinoma: a meta-analysis of observational studies. Transplantation. 2014;97:227–234. doi: 10.1097/TP.0b013e3182a89383. [DOI] [PubMed] [Google Scholar]
  • 7.Landman MP, Feurer ID, Pinson CW, Moore DE. Which is more cost-effective under the MELD system: primary liver transplantation, or salvage transplantation after hepatic resection or after loco-regional therapy for hepatocellular carcinoma within Milan criteria? HPB (Oxford). 2011;13:783–791. doi: 10.1111/j.1477-2574.2011.00355.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lai Q, Avolio AW, Lerut J, et al. Recurrence of hepatocellular cancer after liver transplantation: the role of primary resection and salvage transplantation in East and West. J Hepatol. 2012;57:974–979. doi: 10.1016/j.jhep.2012.06.033. [DOI] [PubMed] [Google Scholar]
  • 9.Mazzaferro V, Regalia E, Doci R, et al. Liver transplantation for the treatment of small hepatocellular carcinomas in patients with cirrhosis. N Engl J Med. 1996;334:693–699. doi: 10.1056/NEJM199603143341104. [DOI] [PubMed] [Google Scholar]
  • 10.Clavien PA, Lesurtel M, Bossuyt PM, Gores GJ, Langer B. Perrier A; OLT for HCC Consensus Group. Recommendations for liver transplantation for hepatocellular carcinoma: an international consensus conference report. Lancet Oncol. 2012;13:e11–e22. doi: 10.1016/S1470-2045(11)70175-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bonadio I, Colle I, Geerts A, et al. Liver transplantation for hepatocellular carcinoma comparing the Milan, UCSF, and Asian criteria: long-term follow-up of a Western single institutional experience. Clin Transplant. 2015;29:425–433. doi: 10.1111/ctr.12534. [DOI] [PubMed] [Google Scholar]
  • 12.Fan J, Yang GS, Fu ZR, et al. Liver transplantation outcomes in 1,078 hepatocellular carcinoma patients: a multi-center experience in Shanghai. China. J Cancer Res Clin Oncol. 2009;135:1403–1412. doi: 10.1007/s00432-009-0584-6. [DOI] [PubMed] [Google Scholar]
  • 13.Shirabe K, Taketomi A, Morita K, et al. Comparative evaluation of expanded criteria for patients with hepatocellular carcinoma beyond the Milan criteria undergoing living-related donor liver transplantation. Clin Transplant. 2011;25:E491–E498. doi: 10.1111/j.1399-0012.2011.01463.x. [DOI] [PubMed] [Google Scholar]
  • 14.Yao FY, Ferrell L, Bass NM, et al. Liver transplantation for hepatocellular carcinoma: expansion of the tumor size limits does not adversely impact survival. Hepatology. 2001;33:1394–1403. doi: 10.1053/jhep.2001.24563. [DOI] [PubMed] [Google Scholar]
  • 15.Mazzaferro V, Llovet JM, Miceli R, et al. Predicting survival after liver transplantation in patients with hepatocellular carcinoma beyond the Milan criteria: a retrospective, exploratory analysis. Lancet Oncol. 2009;10:35–43. doi: 10.1016/S1470-2045(08)70284-5. [DOI] [PubMed] [Google Scholar]
  • 16.Singal AK, Guturu P, Hmoud B, Kuo YF, Salameh H, Wiesner RH. Evolving frequency and outcomes of liver transplantation based on etiology of liver disease. Transplantation. 2013;95:755–760. doi: 10.1097/TP.0b013e31827afb3a. [DOI] [PubMed] [Google Scholar]
  • 17.Nagai S, Yoshida A, Facciuto M, Moonka D, Abouljoud MS, Schwartz ME, Florman SS. Ischemia time impacts recurrence of hepatocellular carcinoma after liver transplantation. Hepatology. 2015;61:895–904. doi: 10.1002/hep.27358. [DOI] [PubMed] [Google Scholar]
  • 18.Piardi T, Gheza F, Ellero B, et al. Number and tumor size are not sufficient criteria to select patients for liver transplantation for hepatocellular carcinoma. Ann Surg Oncol. 2012;19:2020–2026. doi: 10.1245/s10434-011-2170-9. [DOI] [PubMed] [Google Scholar]
  • 19.Cheah YL, Chow PKH. Liver transplantation for hepatocellular carcinoma: an appraisal of current controversies. Liver Cancer. 2012;1:183–189. doi: 10.1159/000343832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Prasad KR, Young RS, Burra P, Zheng SS, Mazzaferro V, Moon DB, Freeman RB. Summary of candidate selection and expanded criteria for liver transplantation for hepatocellular carcinoma: a review and consensus statement. Liver Transpl. 2011;17(Suppl 2):S81–S89. doi: 10.1002/lt.22380. [DOI] [PubMed] [Google Scholar]
  • 21.Durand F, Belghiti J. Liver transplantation for hepatocellular carcinoma: should we push the limits? Liver Transpl. 2003;9:697–699. doi: 10.1053/jlts.2003.50126. [DOI] [PubMed] [Google Scholar]
  • 22.Tanaka T, Kurosaki M, Lilly LB, Izumi N, Sherman M. Identifying candidates with favorable prognosis following liver transplantation for hepatocellular carcinoma: Data mining analysis. J Surg Oncol. 2015;112:72–79. doi: 10.1002/jso.23944. [DOI] [PubMed] [Google Scholar]
  • 23.Chaiteerakij R, Zhang X, Addissie BD, et al. Combinations of biomarkers and Milan criteria for predicting hepatocellular carcinoma recurrence after liver transplantation. Liver Transpl. 2015;21:599–606. doi: 10.1002/lt.24117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Lai Q, Avolio AW, Graziadei I, et al. Alpha-fetoprotein and modified response evaluation criteria in solid tumors progression after locoregional therapy as predictors of hepatocellular cancer recurrence and death after transplantation. Liver Transpl. 2013;19:1108–1118. doi: 10.1002/lt.23604. [DOI] [PubMed] [Google Scholar]
  • 25.Hu Z, Zhou J, Wang H, et al. Survival in liver transplant recipients with hepatitis B- or hepatitis C-associated hepatocellular carcinoma: the Chinese experience from 1999 to 2010. PLoS One. 2013;8:e61620. doi: 10.1371/journal.pone.0061620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yang SH, Suh KS, Lee HW, et al. A revised scoring system utilizing serum alphafetoprotein levels to expand candidates for living donor transplantation in hepatocellular carcinoma. Surgery. 2007;141:598–609. doi: 10.1016/j.surg.2006.11.006. [DOI] [PubMed] [Google Scholar]
  • 27.Zheng SS, Xu X, Wu J, et al. Liver transplantation for hepatocellular carcinoma: Hangzhou experiences. Transplantation. 2008;85:1726–1732. doi: 10.1097/TP.0b013e31816b67e4. [DOI] [PubMed] [Google Scholar]
  • 28.Taketomi A, Sanefuji K, Soejima Y, et al. Impact of des-gamma-carboxy prothrombin and tumor size on the recurrence of hepatocellular carcinoma after living donor liver transplantation. Transplantation. 2009;87:531–537. doi: 10.1097/TP.0b013e3181943bee. [DOI] [PubMed] [Google Scholar]
  • 29.Takada Y, Ito T, Ueda M, et al. Living donor liver transplantation for patients with HCC exceeding the Milan criteria: a proposal of expanded criteria. Dig Dis. 2007;25:299–302. doi: 10.1159/000106908. [DOI] [PubMed] [Google Scholar]
  • 30.Shindoh J, Sugawara Y, Nagata R, et al. Evaluation methods for pretransplant oncologic markers and their prognostic impacts in patient undergoing living donor liver transplantation for hepatocellular carcinoma. Transpl Int. 2014;27:391–398. doi: 10.1111/tri.12274. [DOI] [PubMed] [Google Scholar]
  • 31.Duvoux C, Roudot-Thoraval F, Decaens T, et al. Liver transplantation for hepatocellular carcinoma: a model including α-fetoprotein improves the performance of Milan criteria. Gastroenterology. 2012;143:986–994. doi: 10.1053/j.gastro.2012.05.052. [DOI] [PubMed] [Google Scholar]
  • 32.Toso C, Asthana S, Bigam DL, Shapiro AM, Kneteman NM. Reassessing selection criteria prior to liver transplantation for hepatocellular carcinoma utilizing the Scientific Registry of Transplant Recipients database. Hepatology. 2009;49:832–838. doi: 10.1002/hep.22693. [DOI] [PubMed] [Google Scholar]
  • 33.Grąt M, Kornasiewicz O, Lewandowski Z, et al. Combination of morphologic criteria and α-fetoprotein in selection of patients with hepatocellular carcinoma for liver transplantation minimizes the problem of posttransplant tumor recurrence. World J Surg. 2014;38:2698–2707. doi: 10.1007/s00268-014-2647-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Krawczyk M, Grąt M, Barski K, et al. 1000 liver transplantations at the Department of General, Transplant and Liver Surgery, Medical University of Warsaw: analysis of indications and results. Pol Przegl Chir. 2012;84:304–312. doi: 10.2478/v10035-012-0051-y. [DOI] [PubMed] [Google Scholar]
  • 35.Krawczyk M, Grąt M, Grąt K, et al. Evolution Of The Results Of 1500 Liver Transplantations Performed In The Department Of General, Transplant And Liver Surgery Medical University Of Warsaw. Pol Przegl Chir. 2015;87:221–230. doi: 10.1515/pjs-2015-0046. [DOI] [PubMed] [Google Scholar]
  • 36.Yao FY, Xiao L, Bass NM, Kerlan R, Ascher NL, Roberts JP. Liver transplantation for hepatocellular carcinoma: validation of the UCSF-expanded criteria based on preoperative imaging. Am J Transplant. 2007;7:2587–2596. doi: 10.1111/j.1600-6143.2007.01965.x. [DOI] [PubMed] [Google Scholar]
  • 37.Fernández JA, Robles R, Marin C, et al. Can we expand the indications for liver transplantation among hepatocellular carcinoma patients with increased tumor size? Transplant Proc. 2003;35:1818–1820. doi: 10.1016/S0041-1345(03)00723-1. [DOI] [PubMed] [Google Scholar]
  • 38.Decaens T, Roudot-Thoraval F, Hadni-Bresson S, et al. Impact of UCSF criteria according to pre- and post-OLT tumor features: analysis of 479 patients listed for HCC with a short waiting time. Liver Transpl. 2006;12:1761–1769. doi: 10.1002/lt.20884. [DOI] [PubMed] [Google Scholar]
  • 39.de Ataide EC, Garcia M, Mattosinho TJ, Almeida JR, Escanhoela CA, Boin IF. Predicting survival after liver transplantation using up-to-seven criteria in patients with hepatocellular carcinoma. Transplant Proc. 2012;44:2438–2440. doi: 10.1016/j.transproceed.2012.07.006. [DOI] [PubMed] [Google Scholar]
  • 40.Harimoto N, Shirabe K, Nakagawara H, et al. Prognostic factors affecting survival at recurrence of hepatocellular carcinoma after living-donor liver transplantation: with special reference to neutrophil/lymphocyte ratio. Transplantation. 2013;96:1008–1012. doi: 10.1097/TP.0b013e3182a53f2b. [DOI] [PubMed] [Google Scholar]
  • 41.Xu X, Lu D, Ling Q, et al. Liver transplantation for hepatocellular carcinoma beyond the Milan criteria. Gut. 2015 doi: 10.1136/gutjnl-2014-308513. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Unek T, Karademir S, Arslan NC, et al. Comparison of Milan and UCSF criteria for liver transplantation to treat hepatocellular carcinoma. World J Gastroenterol. 2011;17:4206–4212. doi: 10.3748/wjg.v17.i37.4206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Vitale A, Farinati F, Burra P, et al. Utility-based criteria for selecting patients with hepatocellular carcinoma for liver transplantation: a multicenter cohort study using the alpha-fetoprotein model as a survival predictor. Liver Transpl. 2015;21:1250–1258. doi: 10.1002/lt.24214. [DOI] [PubMed] [Google Scholar]
  • 44.Varona MA, Soriano A, Aguirre-Jaime A, et al. Risk factors of hepatocellular carcinoma recurrence after liver transplantation: accuracy of the alpha-fetoprotein model in a single-center experience. Transplant Proc. 2015;47:84–89. doi: 10.1016/j.transproceed.2014.12.013. [DOI] [PubMed] [Google Scholar]
  • 45.Toso C, Meeberg G, Hernandez-Alejandro R, Dufour JF, Marotta P, Majno P, Kneteman NM. Total tumor volume and alpha-fetoprotein for selection of transplant candidates with hepatocellular carcinoma: a prospective validation. Hepatology. 2015;62:158–165. doi: 10.1002/hep.27787. [DOI] [PubMed] [Google Scholar]
  • 46.Grat M, Kornasiewicz O, Hołówko W, Lewandowski Z, Zieniewicz K, Paczek L, Krawczyk M. Evaluation of total tumor volume and pretransplantation α-fetoprotein level as selection criteria for liver transplantation in patients with hepatocellular cancer. Transplant Proc. 2013;45:1899–1903. doi: 10.1016/j.transproceed.2012.12.010. [DOI] [PubMed] [Google Scholar]
  • 47.Toso C, Kneteman NM. James Shapiro AM, Bigam DL. The estimated number of patients with hepatocellular carcinoma selected for liver transplantation using expanded selection criteria. Transpl Int. 2009;22:869–875. doi: 10.1111/j.1432-2277.2009.00882.x. [DOI] [PubMed] [Google Scholar]
  • 48.Vibert E, Azoulay D, Hoti E, et al. Progression of alphafetoprotein before liver transplantation for hepatocellular carcinoma in cirrhotic patients: a critical factor. Am J Transplant. 2010;10:129–137. doi: 10.1111/j.1600-6143.2009.02750.x. [DOI] [PubMed] [Google Scholar]
  • 49.Merani S, Majno P, Kneteman NM, Berney T, Morel P, Mentha G, Toso C. The impact of waiting list alpha-fetoprotein changes on the outcome of liver transplant for hepatocellular carcinoma. J Hepatol. 2011;55:814–819. doi: 10.1016/j.jhep.2010.12.040. [DOI] [PubMed] [Google Scholar]
  • 50.Grąt M, Krasnodębski M, Patkowski W, et al. Relevance of Pre-Transplant α-fetoprotein Dynamics in Liver Transplantation for Hepatocellular Cancer. Ann Transplant. 2016;21:115–124. doi: 10.12659/AOT.894644. [DOI] [PubMed] [Google Scholar]

Articles from Annals of Surgical Oncology are provided here courtesy of Springer

RESOURCES