Unknown

Dataset Information

A Global Risk Score (GRS) to Simultaneously Predict Early and Late Tumor Recurrence Risk after Resection of Hepatocellular Carcinoma.


ABSTRACT:

Objectives

Recurrence of hepatocellular carcinoma can arise from the primary tumor ("early recurrence") or de novo from tumor formation in a cirrhotic environment ("late recurrence"). We aimed to develop one simple gene expression score applicable in both the tumor and the surrounding liver that can predict the recurrence risk.

Methods

We determined differentially expressed genes in a cell model of cancer aggressiveness. These genes were first validated in three large published data sets of hepatocellular carcinoma from which we developed a seven-gene risk score.

Results

The gene score was applied on two independent large patient cohorts. In the first cohort, with only tumor data available, it could predict the recurrence risk at 3 years after resection (68 ± 10% vs 3

SUBMITTER: Dekervel J 

PROVIDER: S-EPMC4833966 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets