Funding Information: The authors would like to acknowledge the funds provided by the Gallifrey Foundation and the International Union for the Conservation of Nature (IUCN) through the project Azorlit (Project Number - P01495). Okeanos received national funds through the Foundation for Science and Technology (FCT) and Instituto Público (I.P.), under the project UIDB/05634/2020 and UIDP/05634/2020 and through the...
Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.; OBJECTIVE: To propose a new decision algorithm combining biomarkers measured in a tumor biopsy with clinical variables, to predict recurrence after liver transplantation (LT). SUMMARY BACKGROUND DATA: Liver cancer is one of the most frequent causes of cancer-related mortality. LT is the best treatment for hepatocellular carcinoma (HCC) pa...