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Dataset Information

A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinoma.


ABSTRACT:

Background

Improved usage of the repertoires of pancreatic ductal adenocarcinoma (PDAC) profiles is crucially needed to guide the development of predictive and prognostic tools that could inform the selection of treatment options.

Methods

Using publicly available mRNA abundance datasets, we performed a large retrospective meta-analysis on 466 PDAC patients to discover prognostic gene signatures. These signatures were trained on two clinical cohorts (n = 70), and validated on four independent clinical cohorts (n = 246). Further validation of the identified gene signature was performed using quantitative real-time RT-PCR.

Results

We identified 225 candidate prognostic genes. Using these, a 36-gene signature was discovered and validated on fully independent clinical coho

SUBMITTER: Haider S 

PROVIDER: S-EPMC4293116 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature