Downstaging to Liver Transplant: Success Involves Choosing the Right Patient.


Journal

Clinics in liver disease
ISSN: 1557-8224
Titre abrégé: Clin Liver Dis
Pays: United States
ID NLM: 9710002

Informations de publication

Date de publication:
11 2020
Historique:
entrez: 5 10 2020
pubmed: 6 10 2020
medline: 21 10 2021
Statut: ppublish

Résumé

Hepatocellular carcinoma is a rising indication for liver transplantation in the United States. Downstaging, defined as the reduction of tumor burden using local-regional therapy into Milan criteria, opens an avenue to access cure through transplant for patients who traditionally would not qualify. Approaching the selection of downstaging candidates through an assessment of hepatic function, staying within a modest expansion of tumor burden, and incorporation of serologic/imaging markers for tumor biology provide the best chance for successful downstaging. Following well-defined downstaging protocols with built-in failure criteria ensures excellent post-transplant outcomes.

Identifiants

pubmed: 33012452
pii: S1089-3261(20)30056-8
doi: 10.1016/j.cld.2020.07.005
pii:
doi:

Substances chimiques

Antineoplastic Agents, Immunological 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

665-679

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure N. Mehta has served on advisory boards for WAKO Diagnostics and has received institutional research funding from Wako Diagnostics, Glycotest, and Target Pharmasolutions. K. Zhou reports institutional research funding from Gilead Sciences.

Auteurs

Kali Zhou (K)

Department of Medicine, Division of Gastrointestinal and Liver Diseases, University of Southern California, 1450 San Pablo Street, HC4 3000, Los Angeles, CA 90033, USA. Electronic address: https://twitter.com/kalizhouMD.

Neil Mehta (N)

Department of Medicine, Division of Gastroenterology and Hepatology, University of California, San Francisco, 513 Parnassus Avenue Box 0538, San Francisco, CA 94143, USA. Electronic address: neil.mehta@ucsf.edu.

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Classifications MeSH