Prognostic biomarkers for esophageal adenocarcinoma identified by analysis of tumor transcriptome.

ABSTRACT:

Background

Despite many attempts to establish pre-treatment prognostic markers to understand the clinical biology of esophageal adenocarcinoma (EAC), validated clinical biomarkers or parameters remain elusive. We generated and analyzed tumor transcriptome to develop a practical biomarker prognostic signature in EAC.

Methodology/principal findings

Untreated esophageal endoscopic biopsy specimens were obtained from 64 patients undergoing surgery and chemoradiation. Using DNA microarray technology, genome-wide gene expression profiling was performed on 75 untreated cancer specimens from 64 EAC patients. By applying various statistical and informatical methods to gene expression data, we discovered distinct subgroups of EAC with differences in overall gene expression patterns an

SUBMITTER: Kim SM 

PROVIDER: S-EPMC2994829 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature