A Gene Expression Signature to Select Hepatocellular Carcinoma Patients for Liver Transplantation.

ABSTRACT:

Objective

To propose a new decision algorithm combining biomarkers measured in a tumor biopsy with clinical variables, to predict recurrence after liver transplantation (LT).

Background

Liver cancer is one of the most frequent causes of cancer-related mortality. LT is the best treatment for hepatocellular carcinoma (HCC) patients but the scarcity of organs makes patient selection a critical step. In addition, clinical criteria widely applied in patient eligibility decisions miss potentially curable patients while selecting patients that relapse after transplantation.

Methods

A literature systematic review singled out candidate biomarkers whose RNA levels were assessed by quantitative PCR in tumor tissue from 138 HCC patients submitted to LT (>5 years follow up, 32% be

SUBMITTER: Pinto-Marques H 

PROVIDER: S-EPMC9534058 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature