Unknown

Dataset Information

Gene expression profiles accurately predict outcome following liver resection in patients with metastatic colorectal cancer.


ABSTRACT:

Purpose

The aim of this study was to build a molecular prognostic model based on gene signatures for patients with completely resected hepatic metastases from colorectal cancer (MCRC).

Methods

Using the Illumina HumanHT-12 gene chip, RNA samples from the liver metastases of 96 patients who underwent R0 liver resection were analyzed. Patients were randomly assigned to a training (n = 60) and test (n = 36) set. The genes associated with disease-specific survival (DSS) and liver-recurrence-free survival (LRFS) were identified by Cox-regression and selected to construct a molecular risk score (MRS) using the supervised principle component method on the training set. The MRS was then evaluated in the independent test set.

Results

Nineteen and 115 genes were selected to con

SUBMITTER: Ito H 

PROVIDER: S-EPMC3858250 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature