Literature DB >> 29895820

Ischemia-reperfusion injury and the risk of hepatocellular carcinoma recurrence after deceased donor liver transplantation.

Michał Grąt1, Marek Krawczyk2, Karolina M Wronka3, Jan Stypułkowski2, Zbigniew Lewandowski4, Michał Wasilewicz3, Piotr Krawczyk2, Karolina Grąt5, Waldemar Patkowski2, Krzysztof Zieniewicz2.   

Abstract

This study aimed to evaluate the effects of ischemia-reperfusion injury (IRI) on the risk of hepatocellular carcinoma (HCC) recurrence after liver transplantation. Data of 195 patients were retrospectively analysed. Post-reperfusion aspartate (AST), alanine transaminase, and lactate dehydrogenase (LDH) levels were the primary measures of IRI. Tumour recurrence was the primary endpoint. Post-reperfusion AST was a continuous risk factor for tumour recurrence in patients within Milan criteria (p = 0.035), with an optimal cut-off of 1896 U/L. Recurrence-free survival of patients within Milan criteria and post-reperfusion AST of <1896 and ≥1896 U/L was 96.6% and 71.9% at 5 and 3.7 years, respectively (p = 0.006). Additionally, post-reperfusion AST and LDH exceeding the upper quartile significantly increased the risk of HCC recurrence in patients within Milan criteria (p = 0.039, hazard ratio [HR] = 5.99 and p = 0.040, HR = 6.08, respectively) and to a lesser extent, in patients within Up-to-7 criteria (p = 0.028, HR = 3.58 and p = 0.039, HR = 3.33, respectively). No other significant IRI effects were found in patients beyond the Up-to-7 criteria and in analyses stratified for independent risk factors for recurrence: tumour number and differentiation, alpha-fetoprotein, and microvascular invasion. Thus, IRI exerts major negative effects on the risk of HCC recurrence after liver transplantation in patients within standard and extended criteria.

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Year:  2018        PMID: 29895820      PMCID: PMC5997656          DOI: 10.1038/s41598-018-27319-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Hepatocellular carcinoma (HCC) remains one of the most common indications for liver transplantation[1]. The Milan criteria defined transplant eligibility for HCC patients for more than two decades; however, the limits are now being expanded according to morphological and biological tumour features[2-6]. Nevertheless, discussion on widening the pool of potential candidates is controversial owing to a major and relatively constant shortage of deceased donors. Further expansion of the selection criteria will inevitably lead to increased waiting times for both HCC and non-HCC populations. In HCC patients, markedly prolonged times on the waiting list are characterised by more common dropouts, possibly leading to the development of more aggressive tumours[7]. Owing to increased rates of listing and privileged positions of HCC patients under the current allocation policies, a higher number of HCC transplant candidates may have even more detrimental effects on non-HCC patients’ waiting times and pre-transplant mortality[8,9]. Because widening the donor pool with living donors and high-risk or extended criteria deceased donors is a common strategy, it appears to have major relevance, particularly for HCC patients. Experimental studies demonstrate the increased risk of cancer recurrence associated with ischemia-reperfusion injury (IRI)[10,11]. Changes in hepatic microenvironment caused by IRI promote seeding and the development of metastases, whereas IRI-induced proinflammatory response, release of growth factors, mobilization of progenitor cells, and transformation of cancer cells to more aggressive phenotypes may potentiate the formation and growth of metastases at both local and remote sites[12-16]. Because grafts procured from high-risk deceased donors and to a lesser extent, partial grafts procured from living donors may be more susceptible to IRI, the use of these grafts may increase the risk of post-transplant HCC recurrence. This hypothesis was subject to numerous studies with inconsistent results. Although transplantations of grafts procured from living donors or high-risk grafts procured from deceased donors after cardiac death or those who were older and had hepatic steatosis or other risk factors were reported to have adverse effects on outcomes after liver transplantations for HCC in several studies, the results of available studies are not completely consistent[17-23]. However, recent reports found that prolonged ischemic times, directly related to the magnitude of IRI, increased the risk of post-transplant HCC recurrence[24,25]. Nevertheless, data on the direct effect of the magnitude of IRI on the risk of HCC recurrence after deceased donor liver transplantation are limited. Therefore, this study aimed to evaluate the association between the degree of graft IRI as indicated by post-reperfusion transaminase and lactate dehydrogenase (LDH) levels and the risk of post-transplant HCC recurrence after deceased donor liver transplantation with respect to patients’ initial risk profile.

Methods

This was a retrospective observational study. In total, 250 liver transplantations were performed for HCC patients between January 2001 and June 2016 at the Department of General, Transplant and Liver Surgery (Medical University of Warsaw). Patients with fibrolamellar HCCs and those with combined HCC/cholangiocarcinoma were not included. After exclusion of 55 patients with missing measurements of transaminase levels 2 h after reperfusion, the final study cohort comprised 195 liver transplant recipients. The study protocol was approved by the institutional review board of the Medical University of Warsaw. Informed consents were not obtained from the patients due to the retrospective nature of the study, which is in line with institutional review board and national regulations. All methods were performed in accordance with the relevant guidelines and regulations. No organs were procured from prisoners. The degree of IRI was represented by three variables, namely, serum alanine transaminase (ALT), serum aspartate transaminase (AST), and serum LDH levels; each was assessed from a blood sample obtained 2 h after portal reperfusion. These variables were the primary factors of interest. Peak serum bilirubin concentration, international normalised ratio (INR), and gamma-glutamyl transpeptidase (GGTP) activity over the first 7 post-transplant days were additionally analysed as variables associated with IRI. The duration of cold and warm ischemia was defined as the time from clamping of the donor aorta until the removal of the graft from the preservation solution and that from the removal of the graft from the cold preservation solution until portal reperfusion, respectively. The sum of cold and warm ischemic times formed the total ischemic time. All grafts were procured from donors after brain death. Tumour recurrence over the 5-year post-transplant observation period was the primary end-point. Recurrence-free survival was calculated from the date of transplantation until tumour recurrence and censored at the date of last available follow-up, death for non-HCC related causes or 5 years post-transplantation (whichever occurred first). Details on the surgical technique, perioperative care, immunosuppression, and follow-up protocol are provided elsewhere[26,27]. First, post-reperfusion ALT, AST, and LDH levels were assessed for their potential effect on the risk of post-transplant tumour recurrence in all patients. Other independent predictors of recurrence were also assessed, including peak post-transplant bilirubin concentration, INR, and GGTP activity. Furthermore, the analyses were adjusted for their potential confounding effects in bivariable analyses. Subgroup analyses were subsequently performed to determine the potential differences in associations between IRI degree and the risk of HCC recurrence according to patients’ initial risk profile, based on fulfilment of selection criteria and established independent predictors of recurrence. Continuous and categorical variables are given as medians (interquartile ranges) and numbers (percentages). The Kaplan-Meier method was used for survival calculations, and log-rank test was used for intergroup comparisons. A Cox proportional hazards regression analysis was performed to evaluate the associations between particular factors and the risk of recurrence. A multivariable model was created using forward stepwise method with p thresholds of 0.05 and 0.150 for inclusion and exclusion of variables, respectively. An additional series of bivariable analyses were performed to adjust the effects of IRI to potential confounding effects of independent risk factors for tumour recurrence. Spearman correlation coefficients were calculated to evaluate the associations between ischemic times and donor age and post-reperfusion laboratory measurements. Post-reperfusion AST, ALT, and LDH levels; peak post-transplant bilirubin concentration; and peak post-transplant GGTP activity were transformed to their natural logarithms prior to their analyses as continuous variables. Additionally, they were assessed as categorical factors using the upper quartile for division. Receiver operating characteristic (ROC) curves were constructed to determine the optimal cut-offs of continuous factors in predicting recurrence. Hazard ratios (HRs) and c-statistics were presented with 95% confidence intervals (95% CIs). Significance threshold was set to two-tailed p values of 0.05. Analyses were computed in STATISTICA version 13 (Dell Inc., Tulsa, USA) software. The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request.

Results

The characteristics of the 195 patients are shown in Table 1. Median AST, ALT, and LDH levels assessed 2 h post-reperfusion were 850 U/L (interquartile range: 486–1625 U/L; range 153–14375 U/L), 566 U/L (interquartile range: 304–935 U/L; range 102–9912 U/L), and 2240 U/L (interquartile range: 1322–4670 U/L; range 385–38207 U/L), respectively. Post-reperfusion AST and ALT levels were significantly, yet poorly correlated, with total (both p = 0.001) and cold ischemic times (both p < 0.001), whereas post-reperfusion LDH levels were poorly correlated with cold ischemic time (p = 0.031), intraoperative fresh frozen plasma transfusions (p = 0.002), and intraoperative packed red blood cell transfusions (p = 0.018, Table 2). Donor age and warm ischemic times were not correlated with post-reperfusion AST, ALT, and LDH levels.
Table 1

Recipient, donor, and operative characteristics of 195 liver transplant recipients with hepatocellular carcinoma included in the study.

VariablesNumber (%) or median (IQR)
Post-reperfusion AST (U/L)850 (486–1625)
Post-reperfusion ALT (U/L)566 (304–935)
Post-reperfusion LDH (U/L)2240 (1322–4670)
Peak 7-day postoperative bilirubin concentration (mg/dL)3.6 (2.1–5.6)
Peak 7-day postoperative international normalized ratio1.5 (1.3–1.8)
Peak 7-day postoperative GGTP activity (U/L)663 (396–967)
Recipient sex
  male146 (74.9%)
  female49 (25.1%)
Recipient age (years)58 (52–61)
Hepatitis C virus infection132 (67.7%)
Hepatitis B virus infection89 (45.6%)
Model for End-stage Liver Disease11 (8–13)
Within Milan criteria113 (57.9%)
Within UCSF criteria136 (69.7%)
Within Up-to-7 criteria144 (73.8%)
Number of tumors1 (1–3)
Diameter of the largest tumor (mm)30 (20–45)
Total tumor volume (cm3)22 (5–62)
Alpha-fetoprotein concentration (ng/ml)13.8 (5.7–112.8)
Microvascular invasion52 (26.7%)
Poor tumor differentiation19 (9.7%)
Neoadjuvant treatment102 (52.3%)
Total ischemic time (hours)9.0 (8.0–10.3)
Cold ischemic time (hours)8.0 (6.9–9.5)
Warm ischemic time (minutes)55 (44–68)
Intraoperative PRBC transfusions (units)3 (1–6)
Intraoperative FFP transfusions (units)6 (4–9)
Donor age51 (41–60)
Donor sex
  male120 (61.5%)
  female75 (38.5%)

IQR – interquartile range; AST – aspartate transaminase; ALT – alanine transaminase; LDH – lactate dehydrogenase; UCSF – University of California, San Francisco; PRBC – packed red blood cells; FFP – fresh frozen plasma.

Table 2

Analyses of correlations between selected factors and activity of aspartate transaminase (AST), alaninę transaminase (ALT), and lactate dehydrogenase (LDH) at 2 hours after reperfusion in liver transplantation for hepatocellular carcinoma.

AST activityALT activityLDH activity
RpRpRp
Total ischemic time0.2410.0010.2440.0010.1320.082
Cold ischemic time0.324<0.0010.312<0.0010.1880.031
Warm ischemic time0.0830.3240.1020.2220.1240.155
Intraoperative PRBC transfusions0.1070.1430.1250.0860.1790.018
Intraoperative FFP transfusions0.0420.5650.0550.4490.2350.002
Donor age0.0100.8920.0170.815−0.1200.108

Correlations were assessed with Spearman correlation coefficients. AST – aspartate transaminase; ALT – alanine transaminase; LDH – lactate dehydrogenase; PRBC – packed red blood cells; FFP – fresh frozen plasma.

Recipient, donor, and operative characteristics of 195 liver transplant recipients with hepatocellular carcinoma included in the study. IQR – interquartile range; ASTaspartate transaminase; ALT – alanine transaminase; LDH – lactate dehydrogenase; UCSF – University of California, San Francisco; PRBC – packed red blood cells; FFP – fresh frozen plasma. Analyses of correlations between selected factors and activity of aspartate transaminase (AST), alaninę transaminase (ALT), and lactate dehydrogenase (LDH) at 2 hours after reperfusion in liver transplantation for hepatocellular carcinoma. Correlations were assessed with Spearman correlation coefficients. ASTaspartate transaminase; ALT – alanine transaminase; LDH – lactate dehydrogenase; PRBC – packed red blood cells; FFP – fresh frozen plasma. The median follow-up period was 37.5 months. A total of 27 patients developed HCC recurrence with recurrence-free survival rates of 90.8%, 83.4%, and 81.0% at 1, 3, and 5 years, respectively. Univariable analyses revealed that post-reperfusion AST (p = 0.521), ALT (p = 0.773), and LDH (p = 0.575) levels and peak 7-day post-transplant bilirubin concentration (p = 0.592), INR (p = 0.553), and GGTP activity (p = 0.534) were not significantly associated with recurrence in all patients (Table 3). There were also no significant differences in recurrence-free survival depending on the quartile of AST (p = 0.725), ALT (p = 0.819), and LDH (p = 0.656) levels (Fig. 1). Similarly, no differences with respect to recurrence-free survival were observed depending on the quartile of peak 7-day postoperative bilirubin concentration (p = 0.849), INR (p = 0.309), and GGTP activity (p = 0.866; Fig. 2). In multivariable analysis, the independent risk factors comprised tumour number (p = 0.004), pre-transplant alpha-fetoprotein concentration (p < 0.001), presence of microvascular invasion (p = 0.014), and poor tumour differentiation (p = 0.007). No significant effects of post-reperfusion AST (all p > 0.250), ALT (all p > 0.403), and LDH (all p > 0.176) levels and peak 7-day postoperative bilirubin concentration (all p > 0.167), INR (all p > 0.230), and GGTP activity (all p > 0.123) on the risk of recurrence were found in analyses adjusted for the effects of these independent predictors. The corresponding series of bivariable analyses are presented in Tables 4 and 5. Additionally, fulfilment of the Milan (p < 0.001; HR 0.17, 95% CI 0.07–0.43); University of California, San Francisco (UCSF, p = 0.009; HR 0.37, 95% CI 0.17–0.78); and Up-to-7 (p < 0.001; HR 0.24, 95% CI 0.11–0.51) criteria significantly reduced the risk of recurrence.
Table 3

Analyses of risk factors for hepatocellular carcinoma recurrence after deceased donor liver transplantation.

FactorsUnivariableMultivariable
HR (95% CI)pHR (95% CI)p
Post-reperfusion AST activity (continuous)1.17 (0.72–1.89)0.521
Post-reperfusion AST activity (upper quartile)1.23 (0.52–2.91)0.638
Post-reperfusion ALT activity (continuous)1.07 (0.67–1.72)0.773
Post-reperfusion ALT activity (upper quartile)0.77 (0.29–2.04)0.602
Post-reperfusion LDH activity (continuous)1.13 (0.73–1.76)0.575
Post-reperfusion LDH activity (upper quartile)1.66 (0.73–3.78)0.226
Peak postoperative bilirubin concentration (continuous)0.86 (0.51–1.47)0.592
Peak postoperative bilirubin concentration (upper quartile)0.67 (0.25–1.78)0.424
Peak postoperative INR (continuous)0.81 (0.41–1.60)0.553
Peak postoperative INR (upper quartile)0.91 (0.34–2.42)0.854
Post-reperfusion GGTP activity (continuous)1.20 (0.67–2.15)0.534
Post-reperfusion GGTP activity (upper quartile)1.36 (0.59–3.12)0.474
Total ischemic time1.02 (0.83–1.24)0.866
Cold ischemic time1.07 (0.85–1.35)0.544
Warm ischemic time1.00 (0.84–1.19)0.963
Donor age1.00 (0.97–1.03)0.896
Male donor sex0.52 (0.24–1.12)0.095
Number of tumors1.25 (1.12–1.41)<0.0011.21 (1.06–1.39)0.004
Diameter of the largest tumor1.02 (1.01–1.03)0.001
Total tumor volume1.01 (1.00–1.03)0.170
Alpha-fetoprotein concentration1.31 (1.15–1.50)<0.0011.29 (1.12–1.47)<0.001
Microvascular invasion4.28 (1.99–9.24)<0.0012.67 (1.22–5.84)0.014
Poor tumor differentiation4.05 (1.71–9.59)0.0023.35 (1.38–8.13)0.007
Neoadjuvant treatment2.04 (0.91–4.54)0.082
Male recipient sex0.64 (0.29–1.42)0.269
Recipient age1.01 (0.96–1.05)0.809
Hepatitis C virus infection0.89 (0.41–1.95)0.770
Hepatitis B virus infection1.16 (0.54–2.47)0.703
Model for End-stage Liver Disease0.93 (0.84–1.03)0.186
Intraoperative PRBC transfusions0.99 (0.92–1.07)0.839
Intraoperative FFP transfusions0.97 (0.89–1.05)0.470

Hazard ratios for continuous variables are given per: 1 loge (U/L) increase for AST, ALT, LDH, and GGTP activity; 1 increase for INR; 1 hour increase for total and cold ischemic times; 10 minute increase for warm ischemic time; 1 year increase for recipient and donor age; 1 increase for tumor number; 1 mm increase for diameter of the largest tumor; 10 cm3 increase for total tumor volume; 1 loge (ng/ml) increase for alpha-fetoprotein concentration; 1 point increase for Model for End-stage Liver Disease; and 1 unit increase for transfusions. HR - hazard ratio; 95% CI – 95% confidence interval; AST – aspartate transaminase; ALT – alanine transaminase; GGTP – gamma-glutamyl transpeptidase; INR – international normalized ratio; LDH – lactate dehydrogenase; PRBC – packed red blood cells; FFP – fresh frozen plasma

Figure 1

Recurrence-free survival of hepatocellular carcinoma patients after liver transplantation according to quartiles of aspartate transaminase (A), alanine transaminase (B), and lactate dehydrogenase (C) activity 2 hours after portal reperfusion.

Figure 2

Recurrence-free survival of hepatocellular carcinoma patients after liver transplantation according to quartiles of peak 7-day postoperative bilirubin concentration (A), international normalized ratio (B), and gamma-glutamyl transpeptidase activity (C).

Table 4

Analyses of the effects of the degree of ischemia-reperfusion injury on the risk of hepatocellular carcinoma recurrence after liver transplantation adjusted for the confounding influence of independent risk factors.

FactorHR95% CIpAdjusted for the effects of:
Post-reperfusion AST activity (continuous)1.100.70–1.740.683Tumor number
Post-reperfusion AST activity (categorical)1.200.51–2.850.677Tumor number
Post-reperfusion AST activity (continuous)1.110.70–1.740.667Alpha-fetoprotein concentration
Post-reperfusion AST activity (categorical)1.100.46–2.620.825Alpha-fetoprotein concentration
Post-reperfusion AST activity (continuous)1.310.76–2.250.332Microvascular invasion
Post-reperfusion AST activity (categorical)1.670.70–3.990.250Microvascular invasion
Post-reperfusion AST activity (continuous)1.250.75–2.090.398Poor tumor differentiation
Post-reperfusion AST activity (categorical)1.430.60–3.410.425Poor tumor differentiation
Post-reperfusion ALT activity (continuous)1.020.64–1.620.931Tumor number
Post-reperfusion ALT activity (categorical)0.710.27–1.870.483Tumor number
Post-reperfusion ALT activity (continuous)0.960.61–1.510.856Alpha-fetoprotein concentration
Post-reperfusion ALT activity (categorical)0.660.25–1.750.403Alpha-fetoprotein concentration
Post-reperfusion ALT activity (continuous)1.140.70–1.870.595Microvascular invasion
Post-reperfusion ALT activity (categorical)0.900.34–2.370.827Microvascular invasion
Post-reperfusion ALT activity (continuous)1.080.65–1.790.766Poor tumor differentiation
Post-reperfusion ALT activity (categorical)0.890.33–2.390.824Poor tumor differentiation
Post-reperfusion LDH activity (continuous)1.180.78–1.810.435Tumor number
Post-reperfusion LDH activity (categorical)1.690.74–3.850.211Tumor number
Post-reperfusion LDH activity (continuous)1.060.69–1.630.782Alpha-fetoprotein concentration
Post-reperfusion LDH activity (categorical)1.770.77–4.060.176Alpha-fetoprotein concentration
Post-reperfusion LDH activity (continuous)1.060.69–1.650.784Microvascular invasion
Post-reperfusion LDH activity (categorical)1.310.57–3.030.521Microvascular invasion
Post-reperfusion LDH activity (continuous)1.090.70–1.690.709Poor tumor differentiation
Post-reperfusion LDH activity (categorical)1.410.61–3.270.427Poor tumor differentiation

HR – hazard ratio; 95% CI – 95% confidence interval; AST – aspartate transaminase; ALT – alanine transaminase; LDH – lactate dehydrogenase.

Table 5

Analyses of the associations between peak 7-day postoperative bilirubin concentration, INR value, and GGTP activity and the risk of hepatocellular carcinoma recurrence after liver transplantation adjusted for the confounding influence of independent risk factors.

FactorHR95% CIpAdjusted for the effects of:
Peak postoperative bilirubin concentration (continuous)0.780.47–1.280.324Tumor number
Peak postoperative bilirubin concentration (categorical)0.490.18–1.350.167Tumor number
Peak postoperative bilirubin concentration (continuous)0.890.54–1.460.641Alpha-fetoprotein concentration
Peak postoperative bilirubin concentration (categorical)0.690.26–1.850.465Alpha-fetoprotein concentration
Peak postoperative bilirubin concentration (continuous)0.810.48–1.390.453Microvascular invasion
Peak postoperative bilirubin concentration (categorical)0.630.24–1.670.349Microvascular invasion
Peak postoperative bilirubin concentration (continuous)0.830.48–1.460.526Poor tumor differentiation
Peak postoperative bilirubin concentration (categorical)0.710.27–1.900.500Poor tumor differentiation
Peak postoperative INR (continuous)0.640.31–1.320.230Tumor number
Peak postoperative INR (categorical)0.750.28–2.010.564Tumor number
Peak postoperative INR (continuous)0.660.33–1.350.258Alpha-fetoprotein concentration
Peak postoperative INR (categorical)0.770.29–2.060.603Alpha-fetoprotein concentration
Peak postoperative INR (continuous)0.720.32–1.600.420Microvascular invasion
Peak postoperative INR (categorical)0.780.29–2.080.620Microvascular invasion
Peak postoperative INR (continuous)0.860.42–1.740.673Poor tumor differentiation
Peak postoperative INR (categorical)1.230.44–3.410.696Poor tumor differentiation
Peak postoperative GGTP activity (continuous)1.240.67–2.290.488Tumor number
Peak postoperative GGTP activity (categorical)1.420.61–3.260.415Tumor number
Peak postoperative GGTP activity (continuous)1.580.83–2.990.164Alpha-fetoprotein concentration
Peak postoperative GGTP activity (categorical)2.000.83–4.840.123Alpha-fetoprotein concentration
Peak postoperative GGTP activity (continuous)1.280.70–2.340.422Microvascular invasion
Peak postoperative GGTP activity (categorical)1.530.66–3.540.321Microvascular invasion
Peak postoperative GGTP activity (continuous)1.120.62–2.010.709Poor tumor differentiation
Peak postoperative GGTP activity (categorical)1.230.53–2.830.634Poor tumor differentiation

Hazard ratios for continuous variables are given per: 1 mg/dL increase for bilirubin concentration; 1 increase for INR; 1 loge (U/L) increase for GGTP activity. HR – hazard ratio; 95% CI – 95% confidence interval; INR – international normalized ratio; GGTP – gamma-glutamyl transpeptidase

Analyses of risk factors for hepatocellular carcinoma recurrence after deceased donor liver transplantation. Hazard ratios for continuous variables are given per: 1 loge (U/L) increase for AST, ALT, LDH, and GGTP activity; 1 increase for INR; 1 hour increase for total and cold ischemic times; 10 minute increase for warm ischemic time; 1 year increase for recipient and donor age; 1 increase for tumor number; 1 mm increase for diameter of the largest tumor; 10 cm3 increase for total tumor volume; 1 loge (ng/ml) increase for alpha-fetoprotein concentration; 1 point increase for Model for End-stage Liver Disease; and 1 unit increase for transfusions. HR - hazard ratio; 95% CI – 95% confidence interval; ASTaspartate transaminase; ALT – alanine transaminase; GGTPgamma-glutamyl transpeptidase; INR – international normalized ratio; LDH – lactate dehydrogenase; PRBC – packed red blood cells; FFP – fresh frozen plasma Recurrence-free survival of hepatocellular carcinoma patients after liver transplantation according to quartiles of aspartate transaminase (A), alanine transaminase (B), and lactate dehydrogenase (C) activity 2 hours after portal reperfusion. Recurrence-free survival of hepatocellular carcinoma patients after liver transplantation according to quartiles of peak 7-day postoperative bilirubin concentration (A), international normalized ratio (B), and gamma-glutamyl transpeptidase activity (C). Analyses of the effects of the degree of ischemia-reperfusion injury on the risk of hepatocellular carcinoma recurrence after liver transplantation adjusted for the confounding influence of independent risk factors. HR – hazard ratio; 95% CI – 95% confidence interval; ASTaspartate transaminase; ALT – alanine transaminase; LDH – lactate dehydrogenase. Analyses of the associations between peak 7-day postoperative bilirubin concentration, INR value, and GGTP activity and the risk of hepatocellular carcinoma recurrence after liver transplantation adjusted for the confounding influence of independent risk factors. Hazard ratios for continuous variables are given per: 1 mg/dL increase for bilirubin concentration; 1 increase for INR; 1 loge (U/L) increase for GGTP activity. HR – hazard ratio; 95% CI – 95% confidence interval; INR – international normalized ratio; GGTPgamma-glutamyl transpeptidase For further analyses, the patients were divided into subgroups based on the fulfilment of selection criteria and independent predictors of recurrence. Cut-offs for tumour number of ≥3 and alpha-fetoprotein concentration of ≥48.3 ng/ml were derived from the corresponding ROC curves. As a continuous variable, post-reperfusion AST significantly influenced the risk of HCC recurrence only in patients within the Milan criteria (p = 0.035, Table 6) with the optimal cut-off of ≥1896 U/L. Additionally, post-reperfusion AST and LDH levels exceeding the upper quartiles were significantly associated with increased risk of recurrence in patients either within the Milan (p = 0.039 and p = 0.040, respectively) or Up-to-7 (p = 0.028 and p = 0.039, respectively) criteria. The degree of IRI, as reflected by post-reperfusion AST, ALT, and LDH levels, did not significantly influence the HCC recurrence risk in patients within the UCSF criteria or in those beyond the Milan, UCSF, or Up-to-7 criteria. No other significant associations between post-reperfusion AST, ALT, and LDH levels and the risk of post-transplant tumour recurrence were observed in subgroups derived from divisions based on tumour number, alpha-fetoprotein concentration, presence of microvascular invasion, and degree of tumour differentiation. In contrast to the significant effects of IRI in patients within the Milan or Up-to-7 criteria, no effects were found for the duration of total ischemia (all p > 0.701), cold ischemia (all p > 0.417), warm ischemia (all p > 0.373), and donor age (all p > 0.276) in these subgroups (Table 7). No significant associations between peak 7-day postoperative bilirubin concentration (all p > 0.081), INR (all p > 0.205), and GGTP activity (p > 0.097) and HCC recurrence risk were identified in subgroup analyses (Table 8).
Table 6

Subgroup analyses of the associations between post-reperfusion aspartate transaminase, alanine transaminase, and lactate dehydrogenase activity and the risk of hepatocellular carcinoma recurrence after liver transplantation according to fulfillment of selection criteria and independent risk factors.

FactorSubgroup of patientsAnalyzed as continuous variable: per loge (U/L) increaseAnalyzed as categorical variable: Q4 versus Q1-Q3
AST activityWithin Milan criteria2.75 (1.07–7.03)0.0355.99 (1.10–32.78)0.039
AST activityBeyond Milan criteria0.86 (0.47–1.55)0.6060.71 (0.21–2.43)0.591
AST activityWithin UCSF criteria1.67 (0.84–3.30)0.1412.79 (0.94–8.33)0.065
AST activityBeyond UCSF criteria0.84 (0.40–1.75)0.6400.36 (0.05–2.77)0.327
AST activityWithin Up-to-7 criteria1.91 (0.94–3.90)0.0733.58 (1.15–11.11)0.028
AST activityBeyond Up-to-7 criteria0.80 (0.41–1.55)0.5000.24 (0.03–1.82)0.167
AST activityTumor number <31.58 (0.81–3.09)0.1832.22 (0.72–6.80)0.164
AST activityTumor number ≥30.81 (0.38–1.70)0.5720.62 (0.14–2.79)0.536
AST activityAFP < 48.3 ng/ml1.51 (0.68–3.33)0.3091.06 (0.23–5.02)0.937
AST activityAFP ≥ 48.3 ng/ml0.92 (0.50–1.70)0.8011.04 (0.37–2.97)0.936
AST activityWithout MVI1.37 (0.67–2.80)0.3862.58 (0.79–8.47)0.117
AST activityWith MVI1.18 (0.51–2.71)0.6940.89 (0.20–3.95)0.882
AST activityWell or moderately differentiated tumors1.22 (0.71–2.11)0.4781.11 (0.40–3.05)0.842
AST activityPoorly differentiated tumors1.66 (0.34–8.03)0.5263.95 (0.75–20.76)0.104
ALT activityWithin Milan criteria2.41 (0.88–6.61)0.0873.15 (0.63–15.78)0.163
ALT activityBeyond Milan criteria0.84 (0.47–1.50)0.5510.43 (0.10–1.84)0.254
ALT activityWithin UCSF criteria1.22 (0.62–2.41)0.5711.02 (0.28–3.73)0.974
ALT activityBeyond UCSF criteria0.97 (0.48–1.94)0.9240.62 (0.14–2.76)0.527
ALT activityWithin Up-to-7 criteria1.37 (0.66–2.83)0.3981.25 (0.34–4.66)0.735
ALT activityBeyond Up-to-7 criteria0.89 (0.48–1.68)0.7280.40 (0.09–1.80)0.233
ALT activityTumor number <31.14 (0.58–2.24)0.6990.63 (0.14–2.87)0.555
ALT activityTumor number ≥30.97 (0.48–1.97)0.9340.89 (0.25–3.18)0.852
ALT activityAFP < 48.3 ng/ml1.35 (0.60–3.04)0.4690.99 (0.21–4.65)0.986
ALT activityAFP ≥ 48.3 ng/ml0.85 (0.48–1.51)0.5820.52 (0.15–1.82)0.308
ALT activityWithout MVI1.31 (0.63–2.72)0.4661.23 (0.33–4.64)0.761
ALT activityWith MVI1.00 (0.52–1.96)0.9890.63 (0.14–2.77)0.540
ALT activityWell or moderately differentiated tumors1.02 (0.59–1.75)0.9420.79 (0.26–2.37)0.676
ALT activityPoorly differentiated tumors1.67 (0.34–8.13)0.5261.80 (0.21–15.23)0.589
LDH activityWithin Milan criteria1.93 (0.75–4.97)0.1756.08 (1.09–33.95)0.040
LDH activityBeyond Milan criteria0.88 (0.54–1.43)0.6020.85 (0.31–2.38)0.764
LDH activityWithin UCSF criteria1.33 (0.72–2.45)0.3632.75 (0.91–8.27)0.073
LDH activityBeyond UCSF criteria0.90 (0.49–1.66)0.7370.74 (0.20–2.77)0.658
LDH activityWithin Up-to-7 criteria1.68 (0.86–3.31)0.1303.33 (1.06–10.40)0.039
LDH activityBeyond Up-to-7 criteria0.80 (0.47–1.37)0.4200.57 (0.15–2.10)0.398
LDH activityTumor number <31.21 (0.59–2.45)0.6042.33 (0.76–7.15)0.140
LDH activityTumor number ≥ 31.04 (0.61–1.76)0.8891.03 (0.31–3.44)0.964
LDH activityAFP < 48.3 ng/ml1.16 (0.54–2.52)0.6981.66 (0.42–6.67)0.472
LDH activityAFP ≥ 48.3 ng/ml1.01 (0.61–1.68)0.9631.49 (0.53–4.14)0.449
LDH activityWithout MVI1.15 (0.59–2.27)0.6802.13 (0.62–7.35)0.231
LDH activityWith MVI0.99 (0.56–1.75)0.9760.90 (0.30–2.73)0.856
LDH activityWell or moderately differentiated tumors1.11 (0.66–1.85)0.7031.93 (0.76–4.92)0.169
LDH activityPoorly differentiated tumors1.05 (0.43–2.54)0.9220.59 (0.10–3.33)0.547

Q4 – fourth quartile; Q1-Q3 – first to third quartile; AST – aspartate transaminase; ALT – alanine transaminase; LDH – lactate dehydrogenase; UCSF – University of California, San Francisco; AFP – alpha-fetoprotein; MVI – microvascular invasion.

Table 7

Analyses of the associations between allograft ischemia and donor age and the risk of hepatocellular carcinoma recurrence after liver transplantation in patient within Milan and Up-to-7 criteria.

FactorSubgroup of patientsAnalyzed as continuous variable:Analyzed as categorical variable: Q4 versus Q1-Q3
HR (95% CI)pHR (95% CI)p
Total ischemiaWithin Milan criteria1.03 (0.69–1.54)0.8931.39 (0.26–7.62)0.701
Total ischemiaWithin Up-to-7 criteria1.05 (0.77–1.41)0.7691.01 (0.27–3.72)0.991
Cold ischemiaWithin Milan criteria1.14 (0.69–1.87)0.6112.25 (0.32–16.06)0.417
Cold ischemiaWithin Up-to-7 criteria1.08 (0.76–1.55)0.6651.50 (0.36–6.30)0.577
Warm ischemiaWithin Milan criteria0.78 (0.42–1.48)0.452a0.373a
Warm ischemiaWithin Up-to-7 criteria0.98 (0.70–1.37)0.9080.52 (0.06–4.26)0.544
Donor ageWithin Milan criteria1.04 (0.97–1.13)0.2761.71 (0.31–9.54)0.541
Donor ageWithin Up-to-7 criteria1.01 (0.96–1.06)0.6871.03 (0.28–3.84)0.960

Q4 – fourth quartile; Q1-Q3 – first to third quartile; HR – hazard ratio; 95% CI – 95% confidence interval. Hazard ratios for continuous variables are given per 1 loge(U/L) increase. Compared with log-rank test, 100% versus 89.4% recurrence free survival at 5 years in Q4 and Q1–Q3 patients, respectively.

Table 8

Subgroup analyses of the associations between peak 7-day postoperative bilirubin concentration, INR value, and GGTP activity and the risk of hepatocellular carcinoma recurrence after liver transplantation according to fulfillment of selection criteria and independent risk factors.

FactorSubgroup of patientsAnalyzed as continuous variable: per loge (U/L) increaseAnalyzed as categorical variable: Q4 versus Q1-Q3
BilirubinWithin Milan criteria1.59 (0.50–5.10)0.4361.37 (0.25–7.48)0.717
BilirubinBeyond Milan criteria0.74 (0.41–1.34)0.3180.50 (0.15–1.72)0.275
BilirubinWithin UCSF criteria1.23 (0.58–2.65)0.5890.95 (0.26–3.46)0.940
BilirubinBeyond UCSF criteria0.56 (0.26–1.22)0.1420.42 (0.09–1.88)0.254
BilirubinWithin Up-to-7 criteria1.56 (0.67–3.61)0.3000.98 (0.27–3.63)0.978
BilirubinBeyond Up-to-7 criteria0.53 (0.26–1.08)0.0810.42 (0.09–1.90)0.263
BilirubinTumor number <31.18 (0.55–2.54)0.6660.95 (0.26–3.47)0.942
BilirubinTumor number ≥30.59 (0.28–1.24)0.1630.42 (0.09–1.89)0.256
BilirubinAFP < 48.3 ng/ml0.61 (0.26–1.44)0.2620.68 (0.14–3.18)0.620
BilirubinAFP ≥ 48.3 ng/ml1.02 (0.51–2.05)0.9520.72 (0.20–2.56)0.617
BilirubinWithout MVI0.62 (0.28–1.41)0.2590.31 (0.04–2.43)0.266
BilirubinWith MVI1.00 (0.50–2.01)0.9970.87 (0.28–2.72)0.805
BilirubinWell or moderately differentiated tumors1.01 (0.55–1.86)0.9750.73 (0.24–2.20)0.577
BilirubinPoorly differentiated tumors0.35 (0.08–1.45)0.1490.68 (0.08–5.66)0.717
INRWithin Milan criteria1.21 (0.23–6.21)0.8231.16 (0.13–9.92)0.894
INRBeyond Milan criteria0.58 (0.25–1.35)0.2050.55 (0.19–1.66)0.292
INRWithin UCSF criteria0.82 (0.25–2.68)0.7470.97 (0.21–4.38)0.968
INRBeyond UCSF criteria0.65 (0.25–1.69)0.3800.61 (0.17–2.22)0.452
INRWithin Up-to-7 criteria0.90 (0.26–3.08)0.8611.04 (0.23–4.75)0.960
INRBeyond Up-to-7 criteria0.56 (0.22–1.46)0.2400.48 (0.13–1.71)0.255
INRTumor number <30.64 (0.14–2.92)0.5690.80 (0.18–3.62)0.774
INRTumor number ≥30.77 (0.37–1.59)0.4740.91 (0.25–3.31)0.881
INRAFP < 48.3 ng/ml1.12 (0.36–3.50)0.8431.92 (0.50–7.45)344
INRAFP ≥ 48.3 ng/ml0.53 (0.19–1.48)0.2250.39 (0.09–1.73)0.218
INRWithout MVI0.38 (0.06–2.52)0.3180.46 (0.06–3.63)0.464
INRWith MVI0.93 (0.37–2.30)0.8691.01 (0.32–3.19)0.990
INRWell or moderately differentiated tumors0.93 (0.48–1.78)0.8171.24 (0.45–3.45)0.678
INRPoorly differentiated tumors0.17 (0/01–7.11)0.351
GGTPWithin Milan criteria1.55 (0.48–5.02)0.4672.87 (0.58–14.24)0.196
GGTPBeyond Milan criteria1.09 (0.53–2.26)0.8181.09 (0.40–3.02)0.862
GGTPWithin UCSF criteria1.44 (0.66–3.14)0.3611.97 (0.64–6.01)0.236
GGTPBeyond UCSF criteria0.84 (0.32–2.25)0.7320.82 (0.22–2.97)0.758
GGTPWithin Up-to-7 criteria1.41 (0.61–3.21)0.4202.14 (0.68–6.75)0.193
GGTPBeyond Up-to-7 criteria1.00 (0.38–2.60)0.9920.86 (0.24–3.11)0.823
GGTPTumor number <31.76 (0.77–4.00)0.1772.06 (0.67–6.29)0.207
GGTPTumor number ≥30.63 (0.25–1.58)0.3210.77 (0.21–2.79)0.689
GGTPAFP < 48.3 ng/ml2.47 (0.85–7.21)0.0972.40 (0.69–8.28)0.167
GGTPAFP ≥ 48.3 ng/ml1.04 (0.48–2.25)0.9151.55 (0.44–5.51)0.499
GGTPWithout MVI0.95 (0.41–2.22)0.9101.02 (0.27–3.84)0.979
GGTPWith MVI1.78 (0.77–4.11)0.1792.22 (0.74–6.65)0.154
GGTPWell or moderately differentiated tumors1.36 (0.68–2.69)0.3851.47 (0.56–3.88)0.433
GGTPPoorly differentiated tumors0.71 (0.22–2.23)0.5550.80 (0.15–4.14)0.789

Hazard ratios for continuous variables are given per: 1 mg/dL increase for bilirubin concentration; 1 increase for INR; 1 loge (U/L) increase for GGTP activity. Q4 – fourth quartile; Q1-Q3 – first to third quartile; INR – international normalized ratio; GGTP – gamma-glutamyl transpeptidase; AFP – alpha-fetoprotein; MVI – microvascular invasion.

Subgroup analyses of the associations between post-reperfusion aspartate transaminase, alanine transaminase, and lactate dehydrogenase activity and the risk of hepatocellular carcinoma recurrence after liver transplantation according to fulfillment of selection criteria and independent risk factors. Q4 – fourth quartile; Q1-Q3 – first to third quartile; ASTaspartate transaminase; ALT – alanine transaminase; LDH – lactate dehydrogenase; UCSF – University of California, San Francisco; AFPalpha-fetoprotein; MVI – microvascular invasion. Analyses of the associations between allograft ischemia and donor age and the risk of hepatocellular carcinoma recurrence after liver transplantation in patient within Milan and Up-to-7 criteria. Q4 – fourth quartile; Q1-Q3 – first to third quartile; HR – hazard ratio; 95% CI – 95% confidence interval. Hazard ratios for continuous variables are given per 1 loge(U/L) increase. Compared with log-rank test, 100% versus 89.4% recurrence free survival at 5 years in Q4 and Q1–Q3 patients, respectively. Subgroup analyses of the associations between peak 7-day postoperative bilirubin concentration, INR value, and GGTP activity and the risk of hepatocellular carcinoma recurrence after liver transplantation according to fulfillment of selection criteria and independent risk factors. Hazard ratios for continuous variables are given per: 1 mg/dL increase for bilirubin concentration; 1 increase for INR; 1 loge (U/L) increase for GGTP activity. Q4 – fourth quartile; Q1-Q3 – first to third quartile; INR – international normalized ratio; GGTPgamma-glutamyl transpeptidase; AFPalpha-fetoprotein; MVI – microvascular invasion. In patients within the Milan criteria, recurrence-free survival at 1, 3, and 5 years was 98.8%, 96.6%, and 96.6%, respectively, when post-reperfusion AST level was <1896 U/L as opposed to 86.2%, 86.2%, and 71.9% at 1, 3, and 3.7 years, respectively, when post-reperfusion AST level was ≥1896 U/L (p = 0.006, Fig. 3A). Similarly, patients within the Milan criteria and with post-reperfusion LDH level <4670 U/L exhibited 5-year recurrence-free survival of 97.4%, which was significantly higher (p = 0.016) than the 1-, 3-, and 5-year rates of 90.2%, 84.2%, and 78.2%, respectively, observed for those within the Milan criteria and with post-reperfusion LDH level ≥4670 U/L (Fig. 3B). Significant differences with respect to 5-year recurrence-free survival depending on post-reperfusion AST (p = 0.027) and LDH (p = 0.031) levels were also observed for patients within the Up-to-7 criteria (Fig. 3C,D).
Figure 3

Recurrence-free survival after liver transplantation for hepatocellular carcinoma in patients within Milan criteria (A,B) and Up-to-7 criteria (C,D) according to post-reperfusion aspartate transaminase and lactate dehydrogenase activity.

Recurrence-free survival after liver transplantation for hepatocellular carcinoma in patients within Milan criteria (A,B) and Up-to-7 criteria (C,D) according to post-reperfusion aspartate transaminase and lactate dehydrogenase activity.

Discussion

In the era of donor shortage and increasing utilization of high-risk grafts to partly ameliorate its negative effects, the problem of potential association between the degree of IRI and the risk of HCC recurrence after liver transplantation is of utmost importance. According to the available results of experimental studies, hepatic IRI, universally present in the setting of liver transplantation, increases the risk of metastasis formation both within the ischemic and remote sites through changes in the local microenvironment, induction of inflammatory response, induction of metastatic potential of circulating cancer cells, and systemic release of pro-tumourigenic cytokines[12-16]. Our study results demonstrate a major negative effect of IRI on the risk of post-transplant HCC recurrence, although limited to patients with low tumour burden. Importantly, initial analyses performed in all patients failed to reveal any significant associations between post-reperfusion AST, ALT, and LDH levels and HCC recurrence risk, irrespective whether the factors were analysed as continuous or categorical variables. However, the study cohort comprised patients with a wide range of tumour burden due to a liberal selection policy utilised in the authors’ department before establishment of precise criteria[5]. Nevertheless, a major significant negative effect of post-reperfusion AST and LDH levels was observed for patients within the Milan criteria, which still determine the majority of liver transplant recipients[28]. Similar findings, although of remarkably lesser extent, were found for patients within the Up-to-7 criteria, whereas the magnitude of IRI did not influence the risk of recurrence in patients beyond the extended criteria. This indicates that the clinical relevance of IRI is limited to generally low-risk populations and diminishes with increasing tumour burden. This appears to be particularly importantly because it demonstrates the possibility of using high-risk grafts to expand the donor pool for high-risk HCC candidates in the context of discussion on widening the boundaries of existing selection criteria[2-6,29]. Notably, the safe use of extended criteria allografts preferentially for patients with advanced tumours was already reported[30]. Conversely, none of the subgroup analyses performed in high-risk patients, including those beyond particular selection criteria, with ≥3 tumours, alpha-fetoprotein concentration ≥48.3 ng/mL, or with tumours either poorly differentiated or with microvascular invasion, revealed a significant effect of IRI on the risk of HCC recurrence. Therefore, while these findings point toward the possibility of the utilization of grafts more prone to IRI for high-risk HCC patients, they also indicate limited clinical relevance of reducing IRI in these patients. In contrast to the use of post-reperfusion transaminases and LDH levels as surrogates of IRI degree in the present study, previous studies focused on the negative effects of prolonged graft ischemia or donor characteristics[17-25,31]. However, the degree of IRI is driven by the interplay of several donor risk factors, of which a single component may not necessarily be an adequate measure of IRI[32]. In the present study, the laboratory measures of graft ischemia were significantly, yet poorly correlated to graft ischemic times, which in fact is consistent with the results presented by other authors[25]. This may partly explain the inconsistent results of studies on the effect of duration of graft ischemia and particular donor factors on HCC recurrence risk, as these may not always accurately reflect the magnitude of IRI[17-25,31]. In contrast to the significant effects of IRI limited to low-risk patients found in the present study, two previous analyses specifically aimed at the effect of ischemic times on tumour recurrence revealed the presence of significant associations particularly in high-risk HCC patients[24,25]. These populations were characterised by 18F-fluorodeoxyglucose tumour avidness on pre-transplant positron emission tomography and vascular invasion, both of which are known surrogates of biological aggressiveness. Although positron emission tomography data were not available, categorization of patients based on pre-transplant alpha-fetoprotein concentration and tumour differentiation, which are important markers of tumour biology, did not reveal any significant effects of IRI and neither did the analyses stratified for microvascular invasion. The reason for this discrepancy is unclear, although it may be related to a wider spectrum of tumour burden in patients included in the present study. Of note, post-operative peak transaminases did not emerge as risk factors for HCC recurrence in these previous reports. However, we chose post-reperfusion AST, ALT, and LDH levels routinely assessed in our department and not peak levels over the postoperative period in order to minimise the effect of events other than IRI on these parameters. The results of the present study point toward the importance of strategies aimed to decrease IRI particularly for patients within the standard selection criteria. A single retrospective study revealed decreased magnitude of IRI, as illustrated by low transaminase levels and decreased risk of HCC recurrence in patients receiving prostaglandin E1 analog alprostadil in the early period after liver transplantation[33]. The protective effects of ischemic preconditioning with respect to the development of metastases were also reported in a recent experimental study[14]. The use of machine perfusion devices has also been shown to decrease the magnitude of IRI and recently even enabled the development of a strategy to practically eliminate its negative consequences[34-36]. Although the present study does not provide any evidence for the effects of these measures in liver transplantation for HCC, it provides a rationale for prospective trials aimed at addressing this issue. This study had several limitations besides those inherent to its retrospective nature. Donor characteristics other than a baseline variable of age were neither analysed for associations with post-reperfusion transaminase and LDH levels nor as predictors of tumour recurrence. However, such analyses were beyond the scope of this study, specifically aimed at the effect of IRI on post-transplant HCC recurrence rather than on its determinants. Because all recipients received grafts from donors after brain death, this study did not directly address the issue of using grafts from donors after cardiac death for HCC patients, which was recently shown not to increase the risk of post-transplant recurrence[23]. Although subject to additional warm ischemia and thus potentially increased magnitude of IRI, their use in HCC patients may be confounded by other factors, including but not limited to, non-random allocation and differences in other donor characteristics. Furthermore, the duration of warm ischemia was not identified as a significant predictor of HCC recurrence. Finally, the main findings of our study are based on the results of univariable subgroup analyses. Therefore, the findings may be confounded by the effects of other risk factors for tumour recurrence. Although there was no particular policy at the authors’ department for the allocation of high-risk grafts to higher-risk HCC patients, the results may also be confounded by non-random allocation of grafts more prone to IRI to patients within the Milan or Up-to-7 criteria, yet at higher initial recurrence risk. In conclusion, the magnitude of IRI is strongly associated with the risk of tumour recurrence in patients within the Milan criteria and to a lesser extent, in patients within the extended criteria. Available measures to decrease IRI should be evaluated as a method to prevent HCC recurrence after liver transplantation, specifically in patients with low tumour burden.
  36 in total

1.  Longer warm ischemia can accelerate tumor growth through the induction of HIF-1α and the IL-6-JAK-STAT3 signaling pathway in a rat hepatocellular carcinoma model.

Authors:  Yuhei Hamaguchi; Akira Mori; Yasuhiro Fujimoto; Takashi Ito; Taku Iida; Shintaro Yagi; Hideaki Okajima; Toshimi Kaido; Shinji Uemoto
Journal:  J Hepatobiliary Pancreat Sci       Date:  2016-11-21       Impact factor: 7.027

2.  The impact of surgical technique on the results of liver transplantation in patients with hepatocellular carcinoma.

Authors:  Michał Grąt; Oskar Kornasiewicz; Zbigniew Lewandowski; Michał Skalski; Krzysztof Zieniewicz; Leszek Pączek; Marek Krawczyk
Journal:  Ann Transplant       Date:  2013-09-06       Impact factor: 1.530

3.  Inferior survival in liver transplant recipients with hepatocellular carcinoma receiving donation after cardiac death liver allografts.

Authors:  Kris P Croome; William Wall; Natasha Chandok; Gavin Beck; Paul Marotta; Roberto Hernandez-Alejandro
Journal:  Liver Transpl       Date:  2013-10-10       Impact factor: 5.799

4.  Pre-retrieval reperfusion decreases cancer recurrence after rat ischemic liver graft transplantation.

Authors:  Graziano Oldani; Lindsey A Crowe; Lorenzo A Orci; Florence Slits; Laura Rubbia-Brandt; Claudio de Vito; Philippe Morel; Gilles Mentha; Thierry Berney; Jean-Paul Vallée; Stéphanie Lacotte; Christian Toso
Journal:  J Hepatol       Date:  2014-04-05       Impact factor: 25.083

5.  Donor factors similarly impact survival outcome after liver transplantation in hepatocellular carcinoma and non-hepatocellular carcinoma patients.

Authors:  Reena J Salgia; Nathan P Goodrich; Jorge A Marrero; Michael L Volk
Journal:  Dig Dis Sci       Date:  2014-01       Impact factor: 3.199

6.  Potential role of the donor in hepatocellular carcinoma recurrence after liver transplantation.

Authors:  Parsia A Vagefi; Jennifer L Dodge; Francis Y Yao; John P Roberts
Journal:  Liver Transpl       Date:  2015-02       Impact factor: 5.799

7.  Liver transplantation for hepatocellular carcinoma: defining the impact of using extended criteria liver allografts.

Authors:  Marcelo E Facciuto; Manoj K Singh; Umadevi Katta; Susana Samaniego; Jyoti Sharma; Manuel Rodriguez-Davalos; Patricia Sheiner; Leona Kim-Schluger; David C Wolf
Journal:  Transplantation       Date:  2011-08-27       Impact factor: 4.939

8.  OPTN/SRTR 2015 Annual Data Report: Liver.

Authors:  W R Kim; J R Lake; J M Smith; M A Skeans; D P Schladt; E B Edwards; A M Harper; J L Wainright; J J Snyder; A K Israni; B L Kasiske
Journal:  Am J Transplant       Date:  2017-01       Impact factor: 8.086

9.  Living or Brain-dead Donor Liver Transplantation for Hepatocellular Carcinoma: A Multicenter, Western, Intent-to-treat Cohort Study.

Authors:  Daniel Azoulay; Etienne Audureau; Prashant Bhangui; Jacques Belghiti; Olivier Boillot; Paola Andreani; Denis Castaing; Daniel Cherqui; Sabine Irtan; Yvon Calmus; Olivier Chazouillères; Olivier Soubrane; Alain Luciani; Cyrille Feray
Journal:  Ann Surg       Date:  2017-12       Impact factor: 12.969

10.  Ischemia-reperfusion of small liver remnant promotes liver tumor growth and metastases--activation of cell invasion and migration pathways.

Authors:  Kwan Man; Kevin T Ng; Chung Mau Lo; Joanna W Ho; Bai Shun Sun; Chris K Sun; Terence K Lee; Ronnie T P Poon; Sheung Tat Fan
Journal:  Liver Transpl       Date:  2007-12       Impact factor: 5.799

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  11 in total

Review 1.  One Shoot, Two Birds: Alleviating Inflammation Caused by Ischemia/Reperfusion Injury to Reduce the Recurrence of Hepatocellular Carcinoma.

Authors:  Hao Chen; Di Lu; Xinyu Yang; Zhihang Hu; Chiyu He; Huigang Li; Zuyuan Lin; Modan Yang; Xiao Xu
Journal:  Front Immunol       Date:  2022-05-11       Impact factor: 8.786

2.  Impact of Body Composition on the Risk of Hepatocellular Carcinoma Recurrence After Liver Transplantation.

Authors:  Karolina Grąt; Ryszard Pacho; Michał Grąt; Marek Krawczyk; Krzysztof Zieniewicz; Olgierd Rowiński
Journal:  J Clin Med       Date:  2019-10-13       Impact factor: 4.241

3.  The impact of short-term machine perfusion on the risk of cancer recurrence after rat liver transplantation with donors after circulatory death.

Authors:  Graziano Oldani; Andrea Peloso; Florence Slits; Quentin Gex; Vaihere Delaune; Lorenzo A Orci; Yohan van de Looij; Didier J Colin; Stéphane Germain; Claudio de Vito; Laura Rubbia-Brandt; Stéphanie Lacotte; Christian Toso
Journal:  PLoS One       Date:  2019-11-25       Impact factor: 3.240

4.  Shorter Survival after Liver Pedicle Clamping in Patients Undergoing Liver Resection for Hepatocellular Carcinoma Revealed by a Systematic Review and Meta-Analysis.

Authors:  Charles-Henri Wassmer; Beat Moeckli; Thierry Berney; Christian Toso; Lorenzo A Orci
Journal:  Cancers (Basel)       Date:  2021-02-05       Impact factor: 6.639

5.  The effect of the number of hepatic inflow occlusion times on the prognosis of ruptured hepatocellular carcinoma patients after hepatectomy.

Authors:  Feng Xia; Zhiyuan Huang; Elijah Ndhlovu; Mingyu Zhang; Xiaoping Chen; Bixiang Zhang; Peng Zhu
Journal:  BMC Surg       Date:  2022-03-13       Impact factor: 2.102

Review 6.  Mitochondria and Cancer Recurrence after Liver Transplantation-What Is the Benefit of Machine Perfusion?

Authors:  Alessandro Parente; Mauricio Flores Carvalho; Janina Eden; Philipp Dutkowski; Andrea Schlegel
Journal:  Int J Mol Sci       Date:  2022-08-28       Impact factor: 6.208

7.  Glutathione S-transferase A2 promotes hepatocellular carcinoma recurrence after liver transplantation through modulating reactive oxygen species metabolism.

Authors:  Kevin Tak-Pan Ng; Oscar Wai-Ho Yeung; Yin Fan Lam; Jiang Liu; Hui Liu; Li Pang; Xin Xiang Yang; Jiye Zhu; Weiyi Zhang; Matthew Y H Lau; Wen Qi Qiu; Hoi Chung Shiu; Man Kit Lai; Chung Mau Lo; Kwan Man
Journal:  Cell Death Discov       Date:  2021-07-21

Review 8.  Preventing Tumour Recurrence after Liver Transplantation: The Role of Machine Perfusion.

Authors:  Yuri Boteon; Mauricio Alfredo Flores Carvalho; Rebecca Panconesi; Paolo Muiesan; Andrea Schlegel
Journal:  Int J Mol Sci       Date:  2020-08-12       Impact factor: 5.923

9.  Identification of a novel gene signature for the prediction of recurrence in HCC patients by machine learning of genome-wide databases.

Authors:  Jie Shen; Liang Qi; Zhengyun Zou; Juan Du; Weiwei Kong; Lianjun Zhao; Jia Wei; Ling Lin; Min Ren; Baorui Liu
Journal:  Sci Rep       Date:  2020-03-10       Impact factor: 4.379

10.  Ischemia reperfusion injury promotes recurrence of hepatocellular carcinoma in fatty liver via ALOX12-12HETE-GPR31 signaling axis.

Authors:  Faji Yang; Yuheng Zhang; Haozhen Ren; Jinglin Wang; Longcheng Shang; Yang Liu; Wei Zhu; Xiaolei Shi
Journal:  J Exp Clin Cancer Res       Date:  2019-12-12
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