Next Article in Journal
Patients with Minimal Hepatic Encephalopathy Show Altered Thermal Sensitivity and Autonomic Function
Previous Article in Journal
MRI Texture Analysis for the Prediction of Stereotactic Radiosurgery Outcomes in Brain Metastases from Lung Cancer
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Meta-Analysis on the Rate of Hepatocellular Carcinoma Recurrence after Liver Transplant and Associations to Etiology, Alpha-Fetoprotein, Income and Ethnicity

1
Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
2
Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore 119074, Singapore
3
National University Centre for Organ Transplantation, National University Hospital, Singapore 119074, Singapore
*
Author to whom correspondence should be addressed.
These authors have contributed equally.
J. Clin. Med. 2021, 10(2), 238; https://doi.org/10.3390/jcm10020238
Submission received: 17 November 2020 / Revised: 16 December 2020 / Accepted: 6 January 2021 / Published: 11 January 2021
(This article belongs to the Section Gastroenterology & Hepatopancreatobiliary Medicine)

Abstract

:
Hepatocellular carcinoma (HCC) recurrence after liver transplant is associated with a poor prognosis and significantly increases morbidity and mortality among liver transplant patients. Therefore, this meta-analysis aims to evaluate the overall prevalence of HCC recurrence following liver transplant. Medline and Embase databases were searched, and a meta-analysis of proportions was conducted. Observational studies reporting the prevalence of recurrent hepatocellular carcinoma (HCC) after liver transplant were included, with the analysis being stratified by adherence to Milan criteria, ethnicity, socio-economic status, alpha fetoprotein (AFP) levels, living donor vs. deceased donor, and the underlying aetiology of the liver disease. A meta-regression on the date of the study completion was also performed. Of a total 40,495 patients, 3888 developed an HCC recurrence. The overall prevalence of recurrent HCC was 13% (CI: 0.12–0.15). Patients beyond the Milan criteria (MC) were more likely to recur than patients within MC. Asian populations had the greatest prevalence of HCC recurrence (19%; CI: 0.15–0.24) when compared to Western (12%; CI: 0.11–0.13) and Latin American populations (11%; CI: 0.09–0.14). The prevalence of recurrent HCC was the highest in patients infected with hepatitis B virus (HBV) (18%; CI: 0.11–0.27) compared to other aetiologies. A higher AFP also resulted in an increased recurrence. This highlights interesting differences based on ethnicity, income, and aetiology, and further studies are needed to determine the reasons for the disparity.

1. Introduction

Liver transplantation (LT) is regarded as being the gold standard of treatment for patients with hepatocellular carcinoma (HCC), due to the curative ability of the treatment in eliminating both the tumour and the underlying liver disease [1,2,3]. Liver transplantation enables the restoration of liver function and is associated with improved survival rates when strict pretransplantation criteria are met [4], with recent evidence even suggesting a comparable survival to other therapies after the downstaging of tumours beyond criteria [5]. Despite the proven curative efficacy of LT, current estimates suggest a 15–20% recurrence rate for HCC after transplant [6,7,8,9].
The risk of recurrence of HCC in post-transplant patients is increased in recipients with a tumor burden exceeding the criteria for transplantation [10], aggressive tumour biology, suboptimal locoregional therapy prior to LT [11], and with the use of immunosuppressants in patients [12]. In particular, immunosuppression therapy, which is essential after transplantation to minimise organ rejection [13], can increase the risk of recurrent HCC [14]. Given the poor prognosis in recurrent HCC, with an estimated median survival of seven to 16 months [12], it is crucial to have a better understanding of post-LT HCC recurrence across a wide array of patients. The paucity of published data regarding recurrent HCC prevalence among ethnic groups, the underlying aetiology, and the economic levels of countries warrants further investigations since these factors may affect access to care and predispose one to recurrence. Hence, this meta-analysis aims to examine the prevalence of HCC recurrence overall and by subgroups such as ethnicity, incomes, and aetiology, so that differences can be identified and can potentially drive further investigation.

2. Methods

2.1. Search Strategy

This meta-analysis was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [15]. Embase and Medline databases were systematically searched for relevant articles from inception until 24 July 2020 using terms and keywords synonymous with “hepatocellular carcinoma”, “recurrence”, and “liver transplantation”. The full search strategy is attached in Table S1. Citations were then downloaded and reviewed in Endnote Reference Manager X9 (Clarivate Analytics, Philadelphia, PA, USA).

2.2. Study Selection and Eligibility Criteria

Studies were considered for inclusion if they met the following inclusion criteria: (1) patients who had HCC as the main indication for LT, and (2) patients who had available long-term follow-up data. Articles deemed potentially relevant were first screened by title and abstract, followed by the full text for inclusion by two pairs of independent authors (D.J.H.T. and C.W.; C.H.P. and S.R.J.). Only original articles and abstracts written in or translated into the English language were included. A quantitative methodology, such as retrospective and prospective cohort studies, as well as observational studies were included. Case reports, reviews, and commentary were excluded. The final inclusion of articles was based on consensus between the two authors.

2.3. Data Extraction and Outcomes

For each article, two authors (D.J.H.T. and C.W.) independently extracted data into a structured proforma. Population demographics including age, ethnicity, income level, transplant type, and adherence to Milan criteria, pre-transplant alpha-fetoprotein (AFP), and the proportion of patients that had undergone locoregional therapy (LRT) prior to transplant were collected for each study. Income levels were defined according to the definitions set by the World Bank [16]. The main outcome that was analysed was the HCC recurrence after liver transplant, which was defined with radiological findings alone or in combination with alpha-fetoprotein levels, depending on the included studies (Table S2). In line with current guidelines and studies on liver transplantation for HCC [9,17,18,19] all post-transplant instances of HCC were classified as recurrences regardless of the timeframe.
Ethnicity was analyzed by the predominant ethnicity in the country of study [20]. A subgroup analysis was considered for HCC recurrence across different ethnic groups derived from the countries of origin, in countries of varying income levels, and across different transplant types. When mean and standard deviation data were not reported, conversions of data were performed using existing methods [21,22].

2.4. Statistical Analysis and Quality Assessment

Data was extracted and analyzed using the metaprop and metareg functions on STATA (16.1 StataCorp LLC, Texas, TX, USA) [23,24,25]. The meta-analysis of proportions was conducted using a Freeman–Turkey double arcsine transformation for the stabilization of variance, and the Dersimonian and Laird random effects model [26] was used for the pooled analysis. Meta-regression was done with the restricted maximum likelihood model with the Knapp–Hartung variance estimator [24]. The risk of bias was independently assessed in the included cohort studies by two authors using the metric described by Hoy et al. [27].

3. Results

A total of 2930 records were identified through the combined search results, with 625 duplicates removed. 1981 manuscripts were excluded based on the title and abstract alone, and 324 were reviewed in a full text review. 58 articles ultimately met the inclusion criteria (Figure 1). From these included studies, there were 55 retrospective cohort studies and three prospective cohort studies. 40,495 patients were diagnosed with HCC and underwent liver transplant, of which there were 3888 recorded cases of HCC recurrence. A summary of the key characteristics, quality assessment, and reference list of the included studies is presented in Table S2.

3.1. Overall Prevalence of HCC Recurrence

A summary of the pooled prevalence of HCC recurrence in different subgroups is presented in Table 1. A total population of 40,495 patients were diagnosed with HCC and underwent liver transplant. HCC recurrence was recorded in 3888 cases, and a pooled analysis revealed the overall prevalence to be 13% (CI: 0.12–0.15, Figure 2). The meta-regression analysis between the HCC recurrence and year of study completion revealed a decreasing trend of HCC recurrence, although without statistical significance (β = −0.015, SE = 0.002, p = 0.434, Figure 3).

3.2. Analysis by Pretransplant LRT

A meta-regression analysis between HCC recurrence and the proportion of patients that had undergone LRT prior to transplant was also conducted. Transarterial chemoembolisation did not have a significant effect on the prevalence of recurrent HCC (β = 0.053, SE = 0.079, p = 0.511). Radiofrequency ablation also did not affect HCC recurrence significantly (β = 0.033, SE = 0.120, p = 0.787).

3.3. Analysis by Pretransplant AFP

The prevalence of recurrent HCC was also stratified according to the mean AFP before transplant. In studies where the mean AFP was < 50 ng/mL, recurrent HCC occurred in 11% of patients (CI: 0.10–0.13). In comparison, studies with a mean AFP ≥ 50 ng/mL yielded a pooled prevalence of 15% (CI: 0.10–0.21).

3.4. Analyses by Viral and Nonviral Aetiology

HBV was present in 1947 patients, and the pooled prevalence of HCC recurrence was 18% (CI: 0.11–0.27). HCV was the underlying aetiology for liver disease in 12,331 patients, and the overall prevalence of recurrent HCC in HCV patients was 11% (CI: 0.08–0.15). Comparing viral aetiologies, a recurrence was significantly more common in HBV (p = 0.05).
For nonviral aetiologies, nonalcoholic steatohepatitis (NASH) was the underlying diagnosis for end-stage liver disease in 1791 patients, and the pooled prevalence of HCC recurrence for this group was 8% (CI: 0.01–0.20). ALD was also found in a total of 1868 patients, and the pooled analysis revealed the prevalence of HCC recurrence to be 10% (CI: 0.05–0.17).

3.5. Analyses by Ethnicity

The prevalences of HCC recurrence were pooled for Asian, Western, Middle Eastern, and Latin American populations and were found to be 19% (CI: 0.15–0.24), 12% (CI: 0.11–0.13), 16% (CI: 0.12–0.20), and 11% (CI: 0.09–0.14), respectively (Table 1). Comparing Asian and Western population subgroups, recurrent HCC had a significantly higher prevalence in Asian populations (p = 0.001, Figure 4).
Differences in the prevalence of recurrent HCC persisted even when some aetiologies were stratified by ethnicity. The two most commonly reported ethnicities were Asians and Caucasians. For patients with HBV, the analysis of 591 patients from the Asian HBV subgroup yielded a prevalence of 25% (0.15–0.37). The pooled analysis of 1343 patients from studies from Western countries revealed a prevalence of 11% (CI: 0.06–0.17). The prevalence of recurrent HCC in patients with underlying HBV was significantly increased in the Asian subgroup (p = 0.05).
Comparing prevalence in HCV patients stratified by ethnicity, Asian HCV patients had a prevalence of 12% (CI: 0.06–0.23), compared to Caucasian HCV patients with a prevalence of 12% (CI: 0.09–0.17). Interestingly, there was no statistically significant difference in prevalences between HCV patients of different ethnicities (p = 0.84).

3.6. Analyses by Milan Criteria

Additionally, 20,884 patients were within the Milan criteria (MC) prior to transplant, with the pooled prevalence of HCC recurrence for these patients being 8% (CI: 0.07–0.10, Figure 4). The analysis of patients beyond the MC yielded a pooled recurrence of 28% (CI: 0.20–0.36, Figure 4). There was a statistically significant difference in prevalences between patients within and beyond MC (p < 0.001, Figure 5).

3.7. Analysis by Deceased Donor Versus Living Donor Liver Transplant

The prevalence of hepatic recurrence was also pooled by living donor liver transplant (LDLT) compared to deceased donor liver transplant (DDLT) and was found to be 17% (CI: 0.12–0.21, Figure 5) and 14% (CI: 0.10–0.18, Figure 5), respectively. Comparing LDLT and DDLT, there was a nonsignificant difference in prevalences (p = 0.368, Figure 6).

3.8. Analysis by Income

The differences in HCC recurrences in patients from countries with varying economic levels were also evaluated. The pooled prevalences for middle-income and high-income subgroups were 15% (CI: 0.12–0.19) and 13% (CI: 0.11–0.14), respectively. There was a nonsignificant difference in the prevalences of recurrent HCC when comparing subgroups from different income levels (p = 0.17).

4. Discussion

When stringent selection criteria are adhered to [1], LT is known to have desirable long-term outcomes and is currently the gold standard for HCC treatment [9]. However, observational studies have found that post-transplant HCC recurrence is still common, estimated to be occurring in about 15–20% of cases [6,7,8]. Using a meta-analysis of proportions, the pooled prevalence of HCC recurrence was 13% (CI: 0.12–0.15) across 40,495 patients who underwent LT. However, the global trend of HCC recurrence seemed to be decreasing with time when a meta-regression was conducted on the year of study completion (β = −0.0015, SE: 0.002, p = 0.434, Figure 3). Recent improvements in the prevalence of HCC recurrence may be attributed to novel immunosuppressant strategies, including the use of mTOR inhibitors such as sirolimus and everolimus [28,29], and improved patient selection with stringent criteria [30]. Adherence to MC was a significant factor, with patients beyond MC experiencing HCC recurrence more frequently when compared to those within MC, which corroborated with previously existing meta-analyses [31]. The analysis was also pooled across different ethnicities, income levels, and underlying aetiologies for liver disease, with the prevalence of HCC recurrence found to be highest in Asian populations, among patients with HBV, and in middle-income countries.
In our analysis, the prevalence of recurrent HCC varied significantly based on ethnicity, with Asian populations having a significantly higher risk of recurrence compared to Western and Latin American populations. Although there is currently a paucity of literature reviewing the effects of ethnicity on HCC recurrence, these differences may be attributed in part to the varying management practices by region [32,33]. Notably, selection criteria differ across regions, with LDLT being the mainstay in several Asian countries due to a shortage of organs from deceased donors [34,35]. Patients undergoing LDLT may be subjected to less stringent selection criteria and thus possibly exceed MC and even other established criteria for transplantation [36], which correlates with the higher rate of HCC recurrence found in this study for those undergoing LDLT. Hence, the high prevalence of out-of-MC LDLTs within Asia could be a significant contributor to the higher recurrence in Asian populations. The increased prevalence of HCC recurrence in Asian populations may also be attributed to the underlying aetiology of liver disease, with HBV being the primary underlying cause of HCC in Asia [33,37,38] when compared to HCV infection in Western countries [39]. The disparity in the recurrence rate between different ethnicities even persisted when only HBV patients were analysed. Apart from the use of differing transplant criteria, genotypic variations in HBV may play a role, with Yuen et al. [40] reporting that HBV genotype C infection, which is endemic to East, South, and Southeast Asian populations [41], is associated with an increased viral load and consequently with more severe liver disease. The more frequent usage of LDLT in conjunction with the high disease burden of chronic HBV infection in Asia and genotypic differences may predispose the Asian population to a higher prevalence of HCC recurrence when compared to other ethnicities, as demonstrated in our analysis. However, data regarding the association of ethnicity with regional HCC recurrence must be interpreted with caution, as these classifications do not take into account the true racial and ethnic differences among groups.
The underlying aetiology of liver disease was also found to affect HCC recurrence. Our analysis revealed a higher prevalence of recurrence in patients with viral vs. nonviral aetiologies (18% and 11% for HBV and HCV respectively, compared to 10% and 8% for alcoholic liver disease and NASH respectively). The high prevalence of HCC recurrence in the HBV subgroup is a particular cause for concern. Recent evidence suggests benefits of anti-HBV prophylaxis and/or anti-HBV immunoglobulins in preventing post-transplant HBV recurrence [42,43], and these have been associated with an increased recurrence-free survival for HCC patients following LT [44]. However, further investigation is required due to a scarcity in reporting regarding the usage of anti-HBV therapy in LT patients in the studies included in this analysis.
Furthermore, NASH remains a clinically significant underlying aetiology despite a lower HCC recurrence in the NASH subgroup, with recent observational data reporting NASH as the fastest growing cause of HCC in LT patients within the United States [45]. Results from our analysis corroborate with a study by Lewin et al., which similarly reported a lower risk of HCC recurrence among patients with NASH when compared to non-NASH aetiologies [46,47]. However, the limited number of studies examining the differences between NASH and non-NASH aetiologies prompts the need for further research into this area.
Interestingly, the use of LRT before transplant, including transarterial chemoembolisation and radiofrequency ablation, did not significantly reduce the prevalence of recurrent HCC. The existing literature suggests that bridging LRT before transplant improves overall survival, with lower post-transplant recurrence; however, these benefits are exclusive to patients who have achieved a complete pathological response (cPR) with no remaining viable tumor upon explant pathology [11,46]. The studies included in our analysis consisted of patients that had undergone LRT regardless of cPR status, contributing to a lack of significant improvement in post-transplant recurrence and corroborating the importance of achieving cPR in reducing recurrence.
In addition, when the analysis was stratified according to the mean pretransplant AFP levels, recurrence was found to be higher in studies with a mean AFP ≥ 50 ng/mL. Current guidelines suggest that pre-LT AFP does provide a prognostic value for outcomes after transplantation [9], although there is currently a lack of consensus on the cut-off value that should be considered due to the wide range in the existing literature [47,48]. AFP has also been suggested as a predictor for the successful downstaging of tumours prior to transplant [9,11], although a threshold has yet to be established, thus requiring further investigation.
To further investigate the effect of income on the prevalence of post-LT HCC recurrence, an analysis was done to compare HCC recurrence in middle- and high-income countries, with stratifications of income levels according to World Bank definitions [16]. Previous studies pertaining to HCC have associated lower personal income levels with a decreased access to healthcare providers and a poorer recurrence-free survival due to the late detection of cancer [48,49], prompting the need for comparisons between countries with different income levels. From our analysis, patients from middle-income countries are more likely to develop a recurrence when compared to high-income countries. However, due to income inequalities within each country and the fact that the income of the country is not represented by the individual’s income, further investigation is required on the association between an individual’s income and healthcare accessibility in relation to HCC recurrence.

5. Limitations

There are several limitations to our study. While we attempted to extract and analyse the effect of MC, the lack of individual reporting of recurrence in individual MC analyses results in a smaller pool analysis of the effects of MC, thus preventing adjustments for ethnicity, aetiology, and living donor vs. dead donor transplants. Furthermore, the analysis on ethnicity classified patients into predominant ethnic groups based on their country of origin. However, the study population might have consisted of other ethnicities within the country, although they were likely to be in the minority. This analysis was also unable to account for other risk factors, including serum AFP levels, the use of locoregional therapies with response while waiting for transplant, the experience of transplantation centres, the vascular invasion status, tumour differentiation, and the adherence to other commonly used criteria beyond the Milan criteria due to a lack of extractable data and/or a scarcity of reporting. Furthermore, there was a significant heterogeneity in the reporting of immunosuppression due to varied immunosuppressive regimens within the same cohort and several patients discontinuing therapy, and we were unable to account for this in our analysis. As the results from current cohorts mature, future research regarding the influence of factors such as centre experience, locoregional therapy [11], and immunosuppression [32,33] on post-transplant HCC recurrence could be explored for a more comprehensive analysis. Finally, while NASH has been present in patient populations, it was often denoted as cryptogenic cirrhosis and was only classified as NASH during the transition period from 2000 to 2014 [50]. Hence, cryptogenic cirrhosis was classified as NASH in this article, although other idiopathic causes may also have been classified as cryptogenic in the included papers [51].

6. Conclusions

In conclusion, this meta-analysis revealed the overall prevalence of HCC recurrence to be 13%, with a higher recurrence observed in Asians, patients with HBV, and middle-income countries. Further studies are required to study the reasons behind the differences in recurrence among these subgroups. These findings provide useful guidance for clinicians counselling patients being considered for liver transplantation and will aid patient counselling for various populations with varying risk levels for post-transplant HCC recurrence. Further studies are required to discern the reason behind the disparities in HCC recurrence between ethnic groups and aetiologies.

Supplementary Materials

The following are available online at https://www.mdpi.com/2077-0383/10/2/238/s1. Table S1. Medline search strategy; Table S2. Summary of key characteristics of included articles.

Author Contributions

Study conception and design was contributed by M.D.M. Material preparation, data collection and analysis were performed by D.J.H.T., C.W., C.H.N. and C.W.P. The first draft of the manuscript was written by D.J.H.T., C.W., C.H.N. and S.R.J. All authors commented on previous versions of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data available upon request.

Conflicts of Interest

Darren Jun Hao Tan, Chloe Wong, Cheng Han Ng, Chen Wei Poh, Sneha Rajiv Jain, Daniel Q. Huang, Mark D. Muthiah declare that they have no conflict of interest.

References

  1. Mazzaferro, V.; Regalia, E.; Doci, R.; Andreola, S.; Pulvirenti, A.; Bozzetti, F.; Montalto, F.; Ammatuna, M.; Morabito, A.; Gennari, L. Liver Transplantation for the Treatment of Small Hepatocellular Carcinomas in Patients with Cirrhosis. N. Engl. J. Med. 1996, 334, 693–700. [Google Scholar] [CrossRef]
  2. Raza, A.; Sood, G.K. Hepatocellular carcinoma review: Current treatment, and evidence-based medicine. Hepatocellular carcinoma review: Current treatment, and evidence-based medicine. World J. Gastroenterol. 2014, 20, 4115–4127. [Google Scholar] [CrossRef]
  3. Santopaolo, F.; Lenci, I.; Milana, M.; Manzia, T.M.; Baiocchi, L. Liver transplantation for hepatocellular carcinoma: Where do we stand? World J. Gastroenterol. 2019, 25, 2591–2602. [Google Scholar] [CrossRef]
  4. Marrero, J.A.; Kulik, L.M.; Sirlin, C.B.; Zhu, A.X.; Finn, R.S.; Abecassis, M.M.; Roberts, L.R.; Heimbach, J.K. Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases. Hepatology 2018, 68, 723–775. [Google Scholar] [CrossRef] [Green Version]
  5. Mazzaferro, V.; Citterio, D.; Bhoori, S.; Bongini, M.; Miceli, R.; De Carlis, L.; Colledan, M.; Salizzoni, M.; Romagnoli, R.; Antonelli, B.; et al. Liver transplantation in hepatocellular carcinoma after tumour downstaging (XXL): A randomised, controlled, phase 2b/3 trial. Lancet Oncol. 2020, 21, 947–956. [Google Scholar] [CrossRef]
  6. de’Angelis, N.; Landi, F.; Carra, M.C.; Azoulay, D. Managements of recurrent hepatocellular carcinoma after liver transplantation: A systematic review. World J. Gastroenterol. 2015, 21, 11185–11198. [Google Scholar] [CrossRef]
  7. Nagai, S.; Mangus, R.S.; Kubal, C.A.; Ekser, B.; Fridell, J.A.; Klingler, K.R.; Maluccio, M.A.; Tector, A.J. Prognosis after recurrence of hepatocellular carcinoma in liver transplantation: Predictors for successful treatment and survival. Clin. Transplant. 2015, 29, 1156–1163. [Google Scholar] [CrossRef]
  8. Bodzin, A.S.; Lunsford, K.E.; Markovic, D.; Harlander-Locke, M.P.; Busuttil, R.W.; Agopian, V.G. Predicting Mortality in Patients Developing Recurrent Hepatocellular Carcinoma After Liver Transplantation: Impact of Treatment Modality and Recurrence Characteristics. Ann. Surg. 2017, 266, 118–125. [Google Scholar] [CrossRef]
  9. Clavien, P.; Lesurtel, M.; Bossuyt, P.M.M.; Gores, G.J.; Langer, B.; Perrier, A. Recommendations for liver transplantation for hepatocellular carcinoma: An international consensus conference report. Lancet Oncol. 2012, 13, e11–e22. [Google Scholar] [CrossRef] [Green Version]
  10. Mazzaferro, V.; Sposito, C.; Zhou, J.; Pinna, A.D.; De Carlis, L.; Fan, J.; Cescon, M.; Di Sandro, S.; Yi-Feng, H.; Lauterio, A.; et al. Metroticket 2.0 Model for Analysis of Competing Risks of Death After Liver Transplantation for Hepatocellular Carcinoma. Gastroenterology 2018, 154, 128–139. [Google Scholar] [CrossRef] [Green Version]
  11. DiNorcia, J.; Florman, S.S.; Haydel, B.; Tabrizian, P.; Ruiz, R.M.; Klintmalm, G.B.; Senguttuvan, S.; Lee, D.D.; Taner, C.B.; Verna, E.C.; et al. Pathologic Response to Pretransplant Locoregional Therapy is Predictive of Patient Outcome After Liver Transplantation for Hepatocellular Carcinoma. Ann. Surg. 2020, 271, 616–624. [Google Scholar] [CrossRef]
  12. Filgueira, N.A. Hepatocellular carcinoma recurrence after liver transplantation: Risk factors, screening and clinical presentation. World J. Hepatol. 2019, 11, 261–272. [Google Scholar] [CrossRef]
  13. Moini, M.; Schilsky, M.L.; Tichy, E.M. Review on immunosuppression in liver transplantation. World J. Hepatol. 2015, 7, 1355–1368. [Google Scholar] [CrossRef]
  14. Cescon, M.; Bertuzzo, V.R.; Ercolani, G.; Ravaioli, M.; Odaldi, F.; Pinna, A.D. Liver transplantation for hepatocellular carcinoma: Role of inflammatory and immunological state on recurrence and prognosis. World J. Gastroenterol. 2013, 19. [Google Scholar] [CrossRef]
  15. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; The PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef] [Green Version]
  16. The World Bank. GNI per Capita, PPP (Current International $). Available online: https://data.worldbank.org/indicator/NY.GNP.PCAP.PP.CD (accessed on 9 August 2020).
  17. Mazzaferro, V.; Bhoori, S.; Sposito, C.; Bongini, M.; Langer, M.; Miceli, R.; Mariani, L. Milan criteria in liver transplantation for hepatocellular carcinoma: An evidence-based analysis of 15 years of experience. Liver Transplant. 2011, 17, S44–S57. [Google Scholar] [CrossRef]
  18. Germani, G.; Gurusamy, K.S.; Garcovich, M.; Toso, C.; Fede, G.; Hemming, A.; Suh, K.-S.; Weber, A.; Burroughs, A.K. Which matters most: Number of tumors, size of the largest tumor, or total tumor volume? Liver Transplant. 2011, 17, S58–S66. [Google Scholar] [CrossRef]
  19. Davis, E.; Wiesner, R.; Valdecasas, J.; Kita, Y.; Rossi, M.; E Schwartz, M. Treatment of recurrent hepatocellular carcinoma after liver transplantation. Liver Transplant. 2011, 17, S162–S166. [Google Scholar] [CrossRef]
  20. Chin, Y.H.; Ng, C.H.; Lee, M.H.; Koh, J.W.H.; Kiew, J.; Yang, S.P.; Sundar, G.; Khoo, C.M. Prevalence of thyroid eye disease in Graves’ disease: A meta-analysis and systematic review. Clin. Endocrinol. 2020, 93, 363–374. [Google Scholar] [CrossRef]
  21. Hozo, S.P.; Djulbegovic, B.; Hozo, I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Med. Res. Methodol. 2005, 5, 13. [Google Scholar] [CrossRef] [Green Version]
  22. Wan, X.; Wang, W.; Liu, J.; Tong, T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res. Methodol. 2014, 14, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Nyaga, V.N.; Arbyn, M.; Aerts, M. Metaprop: A Stata command to perform meta-analysis of binomial data. Arch. Public Health 2014, 72, 1–10. [Google Scholar] [CrossRef] [Green Version]
  24. Harbord, R.M.; Higgins, J.P.T. Meta-Regression in Stata. Stata J. Promot. Commun. Stat. Stata 2008, 8, 493–519. [Google Scholar] [CrossRef] [Green Version]
  25. Ng, C.H.; Chin, Y.H.; Tan, M.H.Q.; Ng, J.X.; Yang, S.P.; Kiew, J.J.; Khoo, C.M. Cinacalcet and primary hyperparathyroidism: Systematic review and meta regression. Endocr. Connect. 2020, 9, 724–735. [Google Scholar] [CrossRef] [PubMed]
  26. DerSimonian, R.; Laird, N. Meta-analysis in clinical trials. Control. Clin. Trials 1986, 7, 177–188. [Google Scholar] [CrossRef]
  27. Hoy, D.G.; Brooks, P.; Woolf, A.; Blyth, F.; March, L.; Bain, C.; Baker, P.; Smith, E.; Buchbinder, R. Assessing risk of bias in prevalence studies: Modification of an existing tool and evidence of interrater agreement. J. Clin. Epidemiol. 2012, 65, 934–939. [Google Scholar] [CrossRef]
  28. Finn, R.S. Current and Future Treatment Strategies for Patients with Advanced Hepatocellular Carcinoma: Role of mTOR Inhibition. Liver Cancer 2012, 1, 247–256. [Google Scholar] [CrossRef] [PubMed]
  29. Duvoux, C.; Toso, C. mTOR inhibitor therapy: Does it prevent HCC recurrence after liver transplantation? Transplant. Rev. 2015, 29, 168–174. [Google Scholar] [CrossRef]
  30. Ju, M.R.; Yopp, A.C. Evolving thresholds for liver transplantation in hepatocellular carcinoma: A Western experience. Ann. Gastroenterol. Surg. 2020, 4, 208–215. [Google Scholar] [CrossRef] [Green Version]
  31. Sotiropoulos, G.C.; Molmenti, E.P.; Lösch, C.; Beckebaum, S.; Broelsch, C.E.; Lang, H. Meta-analysis of tumor recurrence after liver transplantation for hepatocellular carcinoma based on 1,198 cases. Eur. J. Med. Res. 2007, 12. [Google Scholar]
  32. Heimbach, J.K.; Kulik, L.M.; Finn, R.S.; Sirlin, C.B.; Abecassis, M.M.; Roberts, L.R.; Zhu, A.X.; Murad, M.H.; Marrero, J.A. AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology 2018, 67, 358–380. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Tan, P.S.; Muthiah, M.D.; Koh, T.; Teoh, Y.L.; Chan, A.; Kow, A.; Zheng, Q.; Kwon, C.H.D.; Lee, G.H.; Lesmana, C.R.A.; et al. Asian Liver Transplant Network Clinical Guidelines on Immunosuppression in Liver Transplantation. Transplantation 2019, 103, 470–480. [Google Scholar] [CrossRef] [PubMed]
  34. Omata, M.; Cheng, A.-L.; Kokudo, N.; Kudo, M.; Lee, J.M.; Jia, J.; Tateishi, R.; Han, K.-H.; Chawla, Y.K.; Shiina, S.; et al. Asia–Pacific clinical practice guidelines on the management of hepatocellular carcinoma: A 2017 update. Hepatol. Int. 2017, 11, 317–370. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Chen, C.-L.; Kabiling, C.S.; Concejero, A.M. Why does living donor liver transplantation flourish in Asia? Nat. Rev. Gastroenterol. Hepatol. 2013, 10, 746–751. [Google Scholar] [CrossRef]
  36. Akamatsu, N.; Sugawara, Y.; Kokudo, N. Living Donor Liver Transplantation for Patients with Hepatocellular Carcinoma. Liver Cancer 2014, 3, 108–118. [Google Scholar] [CrossRef]
  37. Ashtari, S.; Pourhoseingholi, M.A.; Sharifian, A.; Zali, M.R. Hepatocellular carcinoma in Asia: Prevention strategy and planning. World J. Hepatol. 2015, 7, 1708–1717. [Google Scholar] [CrossRef]
  38. Muthiah, M.; Chong, C.H.; Lim, S.G. Liver Disease in Singapore. Euroasian J. Hepatogastroenterol. 2018, 8, 66–68. [Google Scholar] [CrossRef]
  39. Yang, J.D.; Roberts, L.R. Hepatocellular carcinoma: A global view. Nat. Rev. Gastroenterol. Hepatol. 2010, 7, 448–458. [Google Scholar] [CrossRef] [Green Version]
  40. Yuen, M.-F.; Tanaka, Y.; Mizokami, M.; Yuen, J.C.-H.; Wong, D.K.-H.; Yuan, H.-J.; Sum, S.-M.; Chan, A.O.-O.; Wong, B.C.-Y.; Lai, C.L. Role of hepatitis B virus genotypes Ba and C, core promoter and precore mutations on hepatocellular carcinoma: A case control study. Carcinogenesis 2004, 25, 1593–1598. [Google Scholar] [CrossRef] [Green Version]
  41. Norder, H.; Hammas, B.; Lee, S.D.; Bile, K.; Couroucé, A.M.; Mushahwar, I.K.; Magnius, L.O. Genetic relatedness of hepatitis B viral strains of diverse geographical origin and natural variations in the primary structure of the surface antigen. J. Gen. Virol. 1993, 74, 1341–1348. [Google Scholar] [CrossRef]
  42. Muthiah, M.D.; Tan, E.Y.; Chua, S.H.M.; Huang, D.Q.Y.; Bonney, G.K.; Kow, A.W.C.; Lim, S.G.; Dan, Y.Y.; Tan, P.S.; Lee, G.-H.; et al. Nucleoside analog monotherapy for prophylaxis in Hepatitis B liver transplant patients is safe and efficacious. Hepatol. Int. 2020, 14, 57–69. [Google Scholar] [CrossRef] [PubMed]
  43. Akateh, C.; Pawlik, T.M.; Cloyd, J.M. Adjuvant antiviral therapy for the prevention of hepatocellular carcinoma recurrence after liver resection: Indicated for all patients with chronic hepatitis B? Ann. Transl. Med. 2018, 6, 397. [Google Scholar] [CrossRef] [PubMed]
  44. Pazgan-Simon, M.; Simon, K.A.; Jarowicz, E.; Rotter, K.; Szymanek-Pasternak, A.; Zuwala-Jagiello, J. Hepatitis B virus treatment in hepatocellular carcinoma patients prolongs survival and reduces the risk of cancer recurrence. Clin. Exp. Hepatol. 2018, 4, 210–216. [Google Scholar] [CrossRef] [PubMed]
  45. Younossi, Z.; Stepanova, M.; Ong, J.; Jacobson, I.M.; Bugianesi, E.; Duseja, A.; Eguchi, Y.; Wong, V.W.; Negro, F.; Yilmaz, Y.; et al. Nonalcoholic Steatohepatitis Is the Fastest Growing Cause of Hepatocellular Carcinoma in Liver Transplant Candidates. Clin. Gastroenterol. Hepatol. 2019, 17, 748–755.e3. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Lewin, S.M.; Mehta, N.; Kelley, R.K.; Roberts, J.P.; Yao, F.Y.; Brandman, D. Liver transplantation recipients with nonalcoholic steatohepatitis have lower risk hepatocellular carcinoma. Liver Transplant. 2017, 23, 1015–1022. [Google Scholar] [CrossRef] [Green Version]
  47. Sadler, E.M.; Mehta, N.J.; Bhat, M.; Ghanekar, A.; Greig, P.D.; Grant, D.R.; Yao, F.; Sapisochin, G. Liver Transplantation for NASH-Related Hepatocellular Carcinoma Versus Non-NASH Etiologies of Hepatocellular Carcinoma. Transplantation 2018, 102, 640–647. [Google Scholar] [CrossRef]
  48. Shen, Y.; Guo, H.; Wu, T.; Lu, Q.; Nan, K.-J.; Lv, Y.; Zhang, X. Lower Education and Household Income Contribute to Advanced Disease, Less Treatment Received and Poorer Prognosis in Patients with Hepatocellular Carcinoma. J. Cancer 2017, 8, 3070–3077. [Google Scholar] [CrossRef] [Green Version]
  49. Kew, M.C. Hepatocellular carcinoma in developing countries: Prevention, diagnosis and treatment. World J. Hepatol. 2012, 4, 99–104. [Google Scholar] [CrossRef]
  50. Caldwell, S.; Marchesini, G. Cryptogenic vs. NASH-cirrhosis: The rose exists well before its name. J. Hepatol. 2018, 68, 391–392. [Google Scholar] [CrossRef] [Green Version]
  51. Brunt, E.M. Nonalcoholic Fatty Liver Disease: Pros and Cons of Histologic Systems of Evaluation. Int. J. Mol. Sci. 2016, 17, 97. [Google Scholar] [CrossRef] [Green Version]
Figure 1. PRISMA Flow Diagram.
Figure 1. PRISMA Flow Diagram.
Jcm 10 00238 g001
Figure 2. Pooled prevalence of all included studies.
Figure 2. Pooled prevalence of all included studies.
Jcm 10 00238 g002
Figure 3. Meta-regression of HCC recurrence and study end date.
Figure 3. Meta-regression of HCC recurrence and study end date.
Jcm 10 00238 g003
Figure 4. Pooled proportions stratified by Asian and Western populations.
Figure 4. Pooled proportions stratified by Asian and Western populations.
Jcm 10 00238 g004
Figure 5. Pooled proportions stratified by the Milan criteria.
Figure 5. Pooled proportions stratified by the Milan criteria.
Jcm 10 00238 g005
Figure 6. Pooled Proportions stratified by DDLT and LDLT.
Figure 6. Pooled Proportions stratified by DDLT and LDLT.
Jcm 10 00238 g006
Table 1. Summary of the pooled prevalence of HCC recurrence.
Table 1. Summary of the pooled prevalence of HCC recurrence.
No. of PapersCountTotal Sample SizePooled Prevalence (CI)
Overall Prevalence58388840,49513% (0.12–0.15)
Alpha-Fetoprotein
<50 ng/mL17301234,48811% (0.10–0.13)
≥50 ng/mL7225149115% (0.10–0.21)
Transplant Type a
Living donor8246138017% (0.12–0.21)
Deceased donor712792214% (0.10–0.18)
Milan Criteria a
Within Milan Criteria18166320,8848% (0.07–0.10)
Beyond Milan Criteria18269119928% (0.20–0.36)
Income
Middle income13439290815% (0.12–0.19)
High income45344937,58713% (0.11–0.14)
Ethnicity
Predominantly Asian13365188719% (0.15–0.24)
Predominantly Western36332737,14212% (0.11–0.13)
Predominantly Middle Eastern36641216% (0.12–0.20)
Predominantly Latin American6130105411% (0.09–0.14)
Aetiology a
HBV13277194718% (0.11–0.27)
HCV12103712,33111% (0.08–0.15)
NASH712517918% (0.01–0.20)
ALD7134186810% (0.05–0.17)
Abbreviations: HCC = hepatocellular carcinoma; HBV = hepatitis B virus; HCV = hepatitis C virus; NASH = non-alcoholic steatohepatitis; ALD = alcoholic liver disease; Legend: a Not inclusive of total cohort size.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tan, D.J.H.; Wong, C.; Ng, C.H.; Poh, C.W.; Jain, S.R.; Huang, D.Q.; Muthiah, M.D. A Meta-Analysis on the Rate of Hepatocellular Carcinoma Recurrence after Liver Transplant and Associations to Etiology, Alpha-Fetoprotein, Income and Ethnicity. J. Clin. Med. 2021, 10, 238. https://doi.org/10.3390/jcm10020238

AMA Style

Tan DJH, Wong C, Ng CH, Poh CW, Jain SR, Huang DQ, Muthiah MD. A Meta-Analysis on the Rate of Hepatocellular Carcinoma Recurrence after Liver Transplant and Associations to Etiology, Alpha-Fetoprotein, Income and Ethnicity. Journal of Clinical Medicine. 2021; 10(2):238. https://doi.org/10.3390/jcm10020238

Chicago/Turabian Style

Tan, Darren J. H., Chloe Wong, Cheng Han Ng, Chen Wei Poh, Sneha Rajiv Jain, Daniel Q. Huang, and Mark D. Muthiah. 2021. "A Meta-Analysis on the Rate of Hepatocellular Carcinoma Recurrence after Liver Transplant and Associations to Etiology, Alpha-Fetoprotein, Income and Ethnicity" Journal of Clinical Medicine 10, no. 2: 238. https://doi.org/10.3390/jcm10020238

APA Style

Tan, D. J. H., Wong, C., Ng, C. H., Poh, C. W., Jain, S. R., Huang, D. Q., & Muthiah, M. D. (2021). A Meta-Analysis on the Rate of Hepatocellular Carcinoma Recurrence after Liver Transplant and Associations to Etiology, Alpha-Fetoprotein, Income and Ethnicity. Journal of Clinical Medicine, 10(2), 238. https://doi.org/10.3390/jcm10020238

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop