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Dataset Information

Genomic predictors for recurrence patterns of hepatocellular carcinoma: model derivation and validation.


ABSTRACT:

Background

Typically observed at 2 y after surgical resection, late recurrence is a major challenge in the management of hepatocellular carcinoma (HCC). We aimed to develop a genomic predictor that can identify patients at high risk for late recurrence and assess its clinical implications.

Methods and findings

Systematic analysis of gene expression data from human liver undergoing hepatic injury and regeneration revealed a 233-gene signature that was significantly associated with late recurrence of HCC. Using this signature, we developed a prognostic predictor that can identify patients at high risk of late recurrence, and tested and validated the robustness of the predictor in patients (n = 396) who underwent surgery between 1990 and 2011 at four centers (210 recurrences du

SUBMITTER: Kim JH 

PROVIDER: S-EPMC4275163 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature