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Brandão ABDM, Rodriguez S, Marroni CA, Junior ADMF, Fernandes MV, Mucenic M. Performance of eight predictive models for hepatocellular carcinoma recurrence after liver transplantation: A comparative study. Ann Hepatol 2024; 29:101184. [PMID: 38008358 DOI: 10.1016/j.aohep.2023.101184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 10/04/2023] [Accepted: 11/06/2023] [Indexed: 11/28/2023]
Abstract
INTRODUCTION AND OBJECTIVES Liver transplantation is the optimal treatment for patients with early hepatocellular carcinoma and cirrhosis. However, hepatocellular carcinoma recurs in approximately 15 % of individuals. This study aimed to assess the efficacy of predictive models for hepatocellular carcinoma recurrence after liver transplantation. PATIENTS AND METHODS This retrospective study included 381 patients with HCC and evaluated the performance of the following models: R3-AFP score, alpha-fetoprotein (AFP) model, University of California, Los Angeles (UCLA) nomogram, Pre-Model of Recurrence after Liver Transplantation (MORAL), Post-MORAL, and Combo MORAL models, Risk Estimation of Tumor Recurrence (RETREAT) model and Platelet to Lymphocyte Ratio (PLR) model. RESULTS The R3-AFP score, UCLA nomogram, AFP model, RETREAT, Combo MORAL, and Post-MORAL models exhibited comparable AUROCs, ranging from 0.785 to 0.733. The AUROCs for the R3-AFP model and AFP model were superior to those of the Pre-MORAL and PLR models. The UCLA nomogram, RETREAT score, Combo MORAL model, and Post-MORAL model performed similarly to the first two models, but were only superior to the PLR model. CONCLUSIONS The R3-AFP model, UCLA nomogram, AFP model, RETREAT, Combo MORAL, and Post-MORAL models demonstrated a moderate predictive capacity for hepatocellular carcinoma recurrence following transplantation. No significant differences were observed among these models in their ability to predict recurrence.
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Affiliation(s)
- Ajacio Bandeira de Mello Brandão
- Graduate Program in Medicine: Hepatology, School of Medicine, Universidade Federal de Ciências da Saúde de Porto Alegre, Rua Sarmento Leite, 245, Centro 90050-170, Porto Alegre, RS, Brazil
| | - Santiago Rodriguez
- Graduate Program in Medicine: Hepatology, School of Medicine, Universidade Federal de Ciências da Saúde de Porto Alegre, Rua Sarmento Leite, 245, Centro 90050-170, Porto Alegre, RS, Brazil; Department of Hepatology, Hospital Vozandes Quito-HVQ, Av. Juan José de Villalengua Oe2-37, Quito 170521, Ecuador
| | - Cláudio Augusto Marroni
- Graduate Program in Medicine: Hepatology, School of Medicine, Universidade Federal de Ciências da Saúde de Porto Alegre, Rua Sarmento Leite, 245, Centro 90050-170, Porto Alegre, RS, Brazil
| | - Alfeu de Medeiros Fleck Junior
- Liver Transplantation Group, Hospital Dom Vicente Scherer, Santa Casa de Misericórdia de Porto Alegre, Av. Independência, 155, Centro 90020-090, Porto Alegre, RS, Brazil
| | - Matheus V Fernandes
- Graduate Program in Medicine: Hepatology, School of Medicine, Universidade Federal de Ciências da Saúde de Porto Alegre, Rua Sarmento Leite, 245, Centro 90050-170, Porto Alegre, RS, Brazil
| | - Marcos Mucenic
- Liver Transplantation Group, Hospital Dom Vicente Scherer, Santa Casa de Misericórdia de Porto Alegre, Av. Independência, 155, Centro 90020-090, Porto Alegre, RS, Brazil.
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Dioguardi Burgio M, Garzelli L, Cannella R, Ronot M, Vilgrain V. Hepatocellular Carcinoma: Optimal Radiological Evaluation before Liver Transplantation. Life (Basel) 2023; 13:2267. [PMID: 38137868 PMCID: PMC10744421 DOI: 10.3390/life13122267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/27/2023] [Accepted: 11/24/2023] [Indexed: 12/24/2023] Open
Abstract
Liver transplantation (LT) is the recommended curative-intent treatment for patients with early or intermediate-stage hepatocellular carcinoma (HCC) who are ineligible for resection. Imaging plays a central role in staging and for selecting the best LT candidates. This review will discuss recent developments in pre-LT imaging assessment, in particular LT eligibility criteria on imaging, the technical requirements and the diagnostic performance of imaging for the pre-LT diagnosis of HCC including the recent Liver Imaging Reporting and Data System (LI-RADS) criteria, the evaluation of the response to locoregional therapy, as well as the non-invasive prediction of HCC aggressiveness and its impact on the outcome of LT. We will also briefly discuss the role of nuclear medicine in the pre-LT evaluation and the emerging role of artificial intelligence models in patients with HCC.
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Affiliation(s)
- Marco Dioguardi Burgio
- Department of Radiology, Hôpital Beaujon, AP-HP. Nord, 100 Boulevard du Général Leclerc, 92110 Clichy, France (V.V.)
- Centre de Recherche sur l’Inflammation, UMR1149, Université Paris Cité, 75018 Paris, France
| | - Lorenzo Garzelli
- Service d’Imagerie Medicale, Centre Hospitalier de Cayenne, Avenue des Flamboyants, Cayenne 97306, French Guiana
| | - Roberto Cannella
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University Hospital “Paolo Giaccone”, Via del Vespro 129, 90127 Palermo, Italy
| | - Maxime Ronot
- Department of Radiology, Hôpital Beaujon, AP-HP. Nord, 100 Boulevard du Général Leclerc, 92110 Clichy, France (V.V.)
- Centre de Recherche sur l’Inflammation, UMR1149, Université Paris Cité, 75018 Paris, France
| | - Valérie Vilgrain
- Department of Radiology, Hôpital Beaujon, AP-HP. Nord, 100 Boulevard du Général Leclerc, 92110 Clichy, France (V.V.)
- Centre de Recherche sur l’Inflammation, UMR1149, Université Paris Cité, 75018 Paris, France
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Zhang W, Bi Y, Yang K, Xie Y, Li Z, Yu X, Zhang L, Jiang W. A new model based on gamma-glutamyl transpeptidase to lymphocyte ratio and systemic immune-inflammation index can effectively predict the recurrence of hepatocellular carcinoma after liver transplantation. Front Oncol 2023; 13:1178123. [PMID: 37152021 PMCID: PMC10157065 DOI: 10.3389/fonc.2023.1178123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 04/06/2023] [Indexed: 05/09/2023] Open
Abstract
Background Liver transplantation (LT) is one of the most effective treatment modalities for hepatocellular carcinoma (HCC), but patients with HCC recurrence after LT always have poor prognosis. This study aimed to evaluate the predictive value of the gamma-glutamyl transpeptidase-to-lymphocyte ratio (GLR) and systemic immune-inflammation index (SII) in terms of HCC recurrence after LT, based on which we developed a more effective predictive model. Methods The clinical data of 325 HCC patients who had undergone LT were collected and analyzed retrospectively. The patients were randomly divided into a development cohort (n = 215) and a validation cohort (n = 110). Cox regression analysis was used to screen the independent risk factors affecting postoperative recurrence in the development cohort, and a predictive model was established based on the results of the multivariate analysis. The predictive values of GLR, SII and the model were evaluated by receiver operating characteristic (ROC) curve analysis, which determined the cut-off value for indicating patients' risk levels. The Kaplan-Meier survival analysis and the competing-risk regression analysis were used to evaluate the predictive performance of the model, and the effectiveness of the model was verified further in the validation cohort. Results The recurrence-free survival of HCC patients after LT with high GLR and SII was significantly worse than that of patients with low GLR and SII (P<0.001). Multivariate Cox regression analysis identified GLR (HR:3.405; 95%CI:1.954-5.936; P<0.001), SII (HR: 2.285; 95%CI: 1.304-4.003; P=0.004), tumor number (HR:2.368; 95%CI:1.305-4.298; P=0.005), maximum tumor diameter (HR:1.906; 95%CI:1.121-3.242; P=0.017), alpha-fetoprotein level (HR:2.492; 95%CI:1.418-4.380; P=0.002) as independent risk factors for HCC recurrence after LT. The predictive model based on these risk factors had a good predictive performance in both the development and validation cohorts (area under the ROC curve=0.800, 0.791, respectively), and the performance of the new model was significantly better than that of single GLR and SII calculations (P<0.001). Survival analysis and competing-risk regression analysis showed that the predictive model could distinguish patients with varying levels of recurrence risk in both the development and validation cohorts. Conclusions The GLR and SII are effective indicators for evaluating HCC recurrence after LT. The predictive model based on these indicators can accurately predict HCC recurrence after LT and is expected to guide preoperative patient selection and postoperative follow-up.
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Affiliation(s)
- Weiqi Zhang
- School of Medicine, Nankai University, Tianjin, China
| | - Yi Bi
- Department of Liver Transplantation, Tianjin Medical University First Center Clinical College, Tianjin, China
| | - Kai Yang
- Department of Liver Transplantation, Tianjin Medical University First Center Clinical College, Tianjin, China
| | - Yan Xie
- Department of Liver Transplantation, Tianjin First Center Hospital, Tianjin, China
- Laboratory of Molecular and Treatment of Liver Cancer, Tianjin First Center Hospital, Tianjin, China
| | - Zhaoxian Li
- School of Medicine, Nankai University, Tianjin, China
| | - Xinghui Yu
- School of Medicine, Nankai University, Tianjin, China
| | - Li Zhang
- Department of Liver Transplantation, Tianjin First Center Hospital, Tianjin, China
- Laboratory of Molecular and Treatment of Liver Cancer, Tianjin First Center Hospital, Tianjin, China
| | - Wentao Jiang
- Department of Liver Transplantation, Tianjin First Center Hospital, Tianjin, China
- Laboratory of Molecular and Treatment of Liver Cancer, Tianjin First Center Hospital, Tianjin, China
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Rossotti R, Merli M, Mazzarelli C, De Carlis RM, Travi G, Vecchi M, Viganò R, Lauterio A, Raimondi A, Belli LS, De Carlis LG, Puoti M. Similar survival but higher and delayed hepatocellular carcinoma recurrence in HIV-positive compared to negative cirrhotics undergoing liver transplantation. Dig Liver Dis 2023; 55:268-275. [PMID: 35644890 DOI: 10.1016/j.dld.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 05/04/2022] [Accepted: 05/05/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Liver transplantation (LT) represents the best therapeutic option for hepatocellular carcinoma (HCC) and end-stage liver disease (ESLD). Although HIV infection does not seem to lower survival rates, HCV and HCC recurrence appear more harmful. AIMS To compare the overall survival after LT; evaluate the impact of anti-HCV direct-acting agents (DAA); assess the rate of HCC recurrence in HIV-positive and negative patients. METHODS Subjects with HCV/HBV infection who underwent LT for HCC or ESLD from 2012 to 2019 were retrospectively evaluated. RESULTS Study population included 299 individuals, 31 (10.4%) were HIV-positive. Overall mortality was similar (16.1% versus 19.0%, p = 0.695). HCC recurrence was observed in 6 HIV-positive (19.4%) and in 17 negative subjects (6.3%, p = 0.022). Time to relapse was 831 days in HIV-positive and 315 days in negative patients (p = 0.046). Cox model found a significant role for HIV in univariate analysis but, after adjusting for variables, extra-hepatic tumor was the only factor associated to recurrence (aHR 56.379, p < 0.001). CONCLUSIONS Post-LT survival improved after DAA availability and HIV has no impact on mortality. A higher and delayed rate of HCC recurrence was observed in co-infected individuals: surveillance protocols should be strengthened along time in this population.
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Affiliation(s)
- Roberto Rossotti
- Department of Infectious Diseases, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
| | - Marco Merli
- Department of Infectious Diseases, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Chiara Mazzarelli
- Hepatology and Gastroenterology Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Riccardo Maria De Carlis
- Department of General Surgery and Transplantation, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Giovanna Travi
- Department of Infectious Diseases, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Marta Vecchi
- Department of Infectious Diseases, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Raffaella Viganò
- Hepatology and Gastroenterology Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Andrea Lauterio
- Department of General Surgery and Transplantation, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Alessandro Raimondi
- Department of Infectious Diseases, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Luca Saverio Belli
- Hepatology and Gastroenterology Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Luciano Gregorio De Carlis
- Department of General Surgery and Transplantation, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; School of Medicine, University of Milan-Bicocca, Milan, Italy
| | - Massimo Puoti
- Department of Infectious Diseases, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; Hepatology and Gastroenterology Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; Department of General Surgery and Transplantation, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; School of Medicine, University of Milan-Bicocca, Milan, Italy
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Wong TH, Ho CM, Hsu HH, Wu YM, Ho MC, Lee PH, Hu RH. Delayed Hepatocellular Carcinoma Recurrence After Liver Transplantation: Comprehensive Clinical Characterization of Case Series. J Hepatocell Carcinoma 2022; 9:1081-1091. [PMID: 36275405 PMCID: PMC9586169 DOI: 10.2147/jhc.s383474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 10/08/2022] [Indexed: 11/06/2022] Open
Abstract
Purpose Liver transplantation (LT) is the definite curative treatment for hepatocellular carcinoma (HCC), but recurrence can occur even under stringent criteria. “Delayed” HCC recurrence (>3 years after LT) is not common. Here, we present the clinical features of patients who developed delayed HCC recurrence after LT. Patients and Methods We reviewed the data of eligible patients from February 1999 to December 2020 from medical records. Results From among 195 (17%) HCC patients who received LT, 34 experienced HCC recurrence, with 5 (15%) delayed recurrence. These five explant tumors were staged T1b–T2, graded II–III, with two vascular invasion and four beyond the Milan criteria. The median time to recurrence was 6.1 years, with the longest interval being nearly 18 years. Recurrence patterns included two extrahepatic, one intrahepatic, and two mixed extrahepatic and intrahepatic recurrences. A drastic increase in serum alpha-fetoprotein levels was observed in four cases 1 year before recurrence. Management of recurrence included locoregional (surgssical resection in three, radiotherapy in three, transarterial chemoembolization in one, radiofrequency ablation in one) and systemic sorafenib use in three. Two patients died within 12–18 months, one died within 18–24 months, and two are still alive until the end of the study, with respective 13.5- and 16.5-month survival. Conclusion Delayed HCC recurrence could occur over 10 years. Therefore, continual surveillance for recurrence is justified, but biomarkers and intervals or intensities specific for delayed recurrence are not validated, which warrants further validation to facilitate personalized medical care.
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Affiliation(s)
- Ta-Hsiang Wong
- Department of Medical Education, National Taiwan University Hospital, Taipei, Taiwan,School of Medicine, National Taiwan University, Taipei, Taiwan
| | - Cheng-Maw Ho
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan,College of Medicine, National Taiwan University, Taipei, Taiwan,Correspondence: Cheng-Maw Ho, Department of Surgery, National Taiwan University Hospital, 7 Chung-Shan South Road, Taipei, 100, Taiwan, Tel +886-223123456-265914, Email
| | - Hsao-Hsun Hsu
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan,College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yao-Ming Wu
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan,College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ming-Chih Ho
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan,College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Po-Huang Lee
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan,College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Rey-Heng Hu
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan,College of Medicine, National Taiwan University, Taipei, Taiwan
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