Recurrence After Liver Transplantation for Hepatocellular Carcinoma

Karim J. Halazun, Marc Najjar(Cornell University), Rita M. Abdelmessih(New York Hospital Queens), Benjamin Samstein(Columbia University Irving Medical Center), Adam Griesemer(Cornell University), James V. Guarrera(NewYork–Presbyterian Hospital), Tomoaki Kato(New York Hospital Queens), Elizabeth C. Verna(New York Hospital Queens), Jean C. Emond(Cornell University), Robert S. Brown(New York Hospital Queens)
Annals of Surgery
September 9, 2016
Cited by 277

Abstract

OBJECTIVE: We sought to develop a "Model Of Recurrence After Liver transplant" (MORAL) for hepatocellular carcinoma (HCC). BACKGROUND: The Milan criteria are used to allocate livers to patients with HCC requiring liver transplantation (LT) but do not include objective measures of tumor biology. Biological markers including the neutrophil-lymphocyte ratio (NLR) and alpha-fetoprotein (AFP) have been associated with recurrence risk. METHODS: Prospective cohort study of adults undergoing LT for HCC between January 2001 and December 2012. RESULTS: A total of 339 patients were included. On multivariable Cox regression analysis, 3 preoperatively available factors were independent predictors of worse recurrence-free survival (RFS), namely, an NLR ≥ 5 (P < 0.0001, hazard ratio, HR: 6.2), AFP > 200 (P < 0.0001, HR: 3.8), and Size >3 cm (P < 0.001, HR: 3.2). The Pre-MORAL score was constructed from the hazard ratios and assigning patients points in an additive fashion, with a minimum of 0 points (no factors) and a maximum of 13 points (all 3 factors). The highest risk patients in the Pre-MORAL had a 5-year RFS of 17.9% compared with 98.6% for the low risk group (P < 0.0001). The post-MORAL was constructed similarly using the 4 postoperatively available independent predictors of worse RFS, grade 4 HCC's (P < 0.0001, HR: 5.6), vascular invasion (P = 0.019, HR: 2.0), size >3 cm (P < 0.0001, HR: 3.2) and number >3 (P = 0.048, HR: 1.8). The pre- and post-MORAL were superior to Milan at predicting recurrence with c-statistics of 0.82 and 0.87, compared with 0.63, respectively. We then combined the scores to produce a combo-MORAL, with a c-statistic of 0.91 for predicting recurrence. CONCLUSIONS: The MORAL score provides a simple, highly accurate tool for predicting recurrence and risk-stratification pre- and postoperatively.


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