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Article: Development and Validation of a Pre-Transplant Risk Score (LT-MVI Score) to Predict Microvascular Invasion in Hepatocellular Carcinoma Candidates for Liver Transplantation

TitleDevelopment and Validation of a Pre-Transplant Risk Score (LT-MVI Score) to Predict Microvascular Invasion in Hepatocellular Carcinoma Candidates for Liver Transplantation
Authors
Keywordsalpha-fetoprotein
living-donor liver transplantation
recurrence
tumor burden score
Issue Date24-Apr-2025
PublisherMDPI
Citation
Cancers, 2025, v. 17, n. 9 How to Cite?
Abstract

Background/Objectives: MVI is a relevant prognostic factor among patients with hepatocellular carcinoma (HCC) receiving liver transplantation (LT). The preoperative assessment of the risk for MVI is relevant to pre-LT patient management and selection. The objective of this study was to create and validate a model to predict microvascular invasion (MVI) based on preoperative variables in the LT setting. Methods: A total of 2170 patients from 11 collaborative centers in Europe, Asia, and the US, who received transplants between 1 January 2000 and 31 December 2017, were enrolled in the study. The entire cohort was split into a training and a validation set (70/30% of the initial cohort, respectively) using random selection. Results: MVI was reported in 586 (27.0%) explanted specimens. Using the training set data, multivariable logistic regression identified three preoperative parameters associated with MVI: α-fetoprotein (lnAFP; odds ratio [OR] = 1.19; 95% confidence interval [CI] = 1.13–1.27), imaging tumor burden score (lnTBS; OR = 1.66; 95%CI = 1.39–1.99), and a fast-track approach before LT due to the availability of a live donation (OR = 1.99; 95%CI = 1.56–2.53). In the validation set, the LT-MVI c-index was 0.74, versus 0.69 for the MVI score proposed by Endo et al. (Brier Skill Score +75%). The new score had a relevant net reclassification index (overall value = 0.61). Stratifying the validation set into three risk categories (0–50th, 51st–75th, and >75th score percentiles), a very good stratification was observed in terms of disease-free (5-year: 89.3, 75.5, and 50.7%, respectively) and overall survival (5-year: 79.5, 72.6, and 53.7%, respectively). Conclusions: The preoperative assessment of MVI using the proposed score demonstrated very good accuracy in predicting MVI after LT.


Persistent Identifierhttp://hdl.handle.net/10722/357616
ISSN
2023 Impact Factor: 4.5
2023 SCImago Journal Rankings: 1.391
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLai, Quirino-
dc.contributor.authorPawlik, Timothy M.-
dc.contributor.authorAjdini, Suela-
dc.contributor.authorEmond, Jean-
dc.contributor.authorHalazun, Karim-
dc.contributor.authorSoin, Arvinder S.-
dc.contributor.authorBhangui, Prashant-
dc.contributor.authorYoshizumi, Tomoharu-
dc.contributor.authorToshima, Takeo-
dc.contributor.authorPanzer, Marlene-
dc.contributor.authorSchaefer, Benedikt-
dc.contributor.authorHoppe-Lotichius, Maria-
dc.contributor.authorMittler, Jens-
dc.contributor.authorIto, Takashi-
dc.contributor.authorHatano, Etsuro-
dc.contributor.authorRossi, Massimo-
dc.contributor.authorChan, Albert C.Y.-
dc.contributor.authorWong, Tiffany-
dc.contributor.authorChen, Chao Long-
dc.contributor.authorLin, Chih Che-
dc.contributor.authorVitale, Alessandro-
dc.contributor.authorCoubeau, Laurent-
dc.contributor.authorCillo, Umberto-
dc.contributor.authorLerut, Jan P.-
dc.date.accessioned2025-07-22T03:13:52Z-
dc.date.available2025-07-22T03:13:52Z-
dc.date.issued2025-04-24-
dc.identifier.citationCancers, 2025, v. 17, n. 9-
dc.identifier.issn2072-6694-
dc.identifier.urihttp://hdl.handle.net/10722/357616-
dc.description.abstract<p>Background/Objectives: MVI is a relevant prognostic factor among patients with hepatocellular carcinoma (HCC) receiving liver transplantation (LT). The preoperative assessment of the risk for MVI is relevant to pre-LT patient management and selection. The objective of this study was to create and validate a model to predict microvascular invasion (MVI) based on preoperative variables in the LT setting. Methods: A total of 2170 patients from 11 collaborative centers in Europe, Asia, and the US, who received transplants between 1 January 2000 and 31 December 2017, were enrolled in the study. The entire cohort was split into a training and a validation set (70/30% of the initial cohort, respectively) using random selection. Results: MVI was reported in 586 (27.0%) explanted specimens. Using the training set data, multivariable logistic regression identified three preoperative parameters associated with MVI: α-fetoprotein (lnAFP; odds ratio [OR] = 1.19; 95% confidence interval [CI] = 1.13–1.27), imaging tumor burden score (lnTBS; OR = 1.66; 95%CI = 1.39–1.99), and a fast-track approach before LT due to the availability of a live donation (OR = 1.99; 95%CI = 1.56–2.53). In the validation set, the LT-MVI c-index was 0.74, versus 0.69 for the MVI score proposed by Endo et al. (Brier Skill Score +75%). The new score had a relevant net reclassification index (overall value = 0.61). Stratifying the validation set into three risk categories (0–50th, 51st–75th, and >75th score percentiles), a very good stratification was observed in terms of disease-free (5-year: 89.3, 75.5, and 50.7%, respectively) and overall survival (5-year: 79.5, 72.6, and 53.7%, respectively). Conclusions: The preoperative assessment of MVI using the proposed score demonstrated very good accuracy in predicting MVI after LT.</p>-
dc.languageeng-
dc.publisherMDPI-
dc.relation.ispartofCancers-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectalpha-fetoprotein-
dc.subjectliving-donor liver transplantation-
dc.subjectrecurrence-
dc.subjecttumor burden score-
dc.titleDevelopment and Validation of a Pre-Transplant Risk Score (LT-MVI Score) to Predict Microvascular Invasion in Hepatocellular Carcinoma Candidates for Liver Transplantation-
dc.typeArticle-
dc.identifier.doi10.3390/cancers17091418-
dc.identifier.scopuseid_2-s2.0-105005075672-
dc.identifier.volume17-
dc.identifier.issue9-
dc.identifier.eissn2072-6694-
dc.identifier.isiWOS:001486741600001-
dc.identifier.issnl2072-6694-

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