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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
| Title | Development and Validation of a Pre-Transplant Risk Score (LT-MVI Score) to Predict Microvascular Invasion in Hepatocellular Carcinoma Candidates for Liver Transplantation |
|---|---|
| Authors | Lai, QuirinoPawlik, Timothy M.Ajdini, SuelaEmond, JeanHalazun, KarimSoin, Arvinder S.Bhangui, PrashantYoshizumi, TomoharuToshima, TakeoPanzer, MarleneSchaefer, BenediktHoppe-Lotichius, MariaMittler, JensIto, TakashiHatano, EtsuroRossi, MassimoChan, Albert C.Y.Wong, TiffanyChen, Chao LongLin, Chih CheVitale, AlessandroCoubeau, LaurentCillo, UmbertoLerut, Jan P. |
| Keywords | alpha-fetoprotein living-donor liver transplantation recurrence tumor burden score |
| Issue Date | 24-Apr-2025 |
| Publisher | MDPI |
| 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 Identifier | http://hdl.handle.net/10722/357616 |
| ISSN | 2023 Impact Factor: 4.5 2023 SCImago Journal Rankings: 1.391 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lai, Quirino | - |
| dc.contributor.author | Pawlik, Timothy M. | - |
| dc.contributor.author | Ajdini, Suela | - |
| dc.contributor.author | Emond, Jean | - |
| dc.contributor.author | Halazun, Karim | - |
| dc.contributor.author | Soin, Arvinder S. | - |
| dc.contributor.author | Bhangui, Prashant | - |
| dc.contributor.author | Yoshizumi, Tomoharu | - |
| dc.contributor.author | Toshima, Takeo | - |
| dc.contributor.author | Panzer, Marlene | - |
| dc.contributor.author | Schaefer, Benedikt | - |
| dc.contributor.author | Hoppe-Lotichius, Maria | - |
| dc.contributor.author | Mittler, Jens | - |
| dc.contributor.author | Ito, Takashi | - |
| dc.contributor.author | Hatano, Etsuro | - |
| dc.contributor.author | Rossi, Massimo | - |
| dc.contributor.author | Chan, Albert C.Y. | - |
| dc.contributor.author | Wong, Tiffany | - |
| dc.contributor.author | Chen, Chao Long | - |
| dc.contributor.author | Lin, Chih Che | - |
| dc.contributor.author | Vitale, Alessandro | - |
| dc.contributor.author | Coubeau, Laurent | - |
| dc.contributor.author | Cillo, Umberto | - |
| dc.contributor.author | Lerut, Jan P. | - |
| dc.date.accessioned | 2025-07-22T03:13:52Z | - |
| dc.date.available | 2025-07-22T03:13:52Z | - |
| dc.date.issued | 2025-04-24 | - |
| dc.identifier.citation | Cancers, 2025, v. 17, n. 9 | - |
| dc.identifier.issn | 2072-6694 | - |
| dc.identifier.uri | http://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.language | eng | - |
| dc.publisher | MDPI | - |
| dc.relation.ispartof | Cancers | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | alpha-fetoprotein | - |
| dc.subject | living-donor liver transplantation | - |
| dc.subject | recurrence | - |
| dc.subject | tumor burden score | - |
| dc.title | Development and Validation of a Pre-Transplant Risk Score (LT-MVI Score) to Predict Microvascular Invasion in Hepatocellular Carcinoma Candidates for Liver Transplantation | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.3390/cancers17091418 | - |
| dc.identifier.scopus | eid_2-s2.0-105005075672 | - |
| dc.identifier.volume | 17 | - |
| dc.identifier.issue | 9 | - |
| dc.identifier.eissn | 2072-6694 | - |
| dc.identifier.isi | WOS:001486741600001 | - |
| dc.identifier.issnl | 2072-6694 | - |
