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HepatoPredict Accurately Selects Hepatocellular Carcinoma Patients for Liver Tr...

Andrade, Rita; Pérez, Judith; da Silva, Sílvia Gomes; Miskinyte, Migla; Quaresma, Margarida C.; Frazão, Laura P.; Peixoto, Carolina; Cubells, Almudena

Publisher Copyright: © 2025 by the authors.; Background/Objectives: Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths rising worldwide. This is leading to an increased demand for liver transplantation (LT), the most effective treatment for HCC in its initial stages. However, current patient selection criteria are limited in predicting recurrence and raise ethical concerns about equitable ...


Analytical validation and algorithm improvement of HepatoPredict kit to assess ...

Gonçalves-Reis, Maria; Proença, Daniela; Frazão, Laura P.; Neto, João L.; Silva, Sílvia; Pinto-Marques, Hugo; Pereira-Leal, José; Cardoso, Joana

Funding Information: The authors wish to thank to the European Innovation Council for having partially financed this work with a grant under the EIC Accelerator scheme (Contract Nº946364). The authors also thank the patients, Neuralshift, and the pathology team from the Curry Cabral Hospital headed by António Figueiredo, with a special mention to Clara Rodrigues. Moreover, the authors particularly acknowledge t...


A Gene Expression Signature to Select Hepatocellular Carcinoma Patients for Liv...

Pinto-Marques, Hugo; Cardoso, Joana; Silva, Sílvia; Neto, João L; Gonçalves-Reis, Maria; Proença, Daniela; Mesquita, Marta; Manso, André; Carapeta, Sara

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...


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