Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Human esophageal adenocarcinomas

ABSTRACT: The incidence of esophageal and junctional adenocarcinoma has increased 6 fold in the last 30 years and 5 year survival remains less than 14%. Most patients present with advanced disease and current staging is limited in its ability to predict survival. We aimed to generate and validate a molecular prognostic signature for esophageal adenocarcinoma. Gene expression profiling was performed and the resulting signatures correlated with clinical features for 91 snap frozen esophageal and junctional resection specimens. Gene expression profiles were obtained from 76/91 of the samples (82%). 119 genes were significantly associated with survival and 270 genes with the number of involved lymph nodes. Three genes were prognostic at the protein level in the external validation dataset. This three gene signature outperformed all the pathological features at predicting survival in this independent cohort (p<0.001). Total RNA isolated from human tissue sections was used to make fluorescently labeled cRNA that was hybridized to DNA oligonucleotide. Briefly, 4 µg of total RNA was used to synthesize dsDNA through reverse transcription. cRNA was produced by in vitro transcription and labeled postsynthetically with Cy3 or Cy5. Two populations of labeled cRNA, a reference population and an experimental population, were compared with each other by competitive hybridization to microarrays. Two hybridizations were done with each cRNA sample pair using a fluorescent dye reversal strategy. Human microarrays contained oligonucleotide probes corresponding to approximately 21,000 genes. All oligonucleotide probes on the microarrays were synthesized in situ with inkjet technology (Agilent Technologies, Palo Alto, CA). After hybridization, arrays were scanned and fluorescence intensities for each probe were recorded. Ratios of transcript abundance (experimental to control) were obtained following normalization and correction of the array intensity data. Gene expression data analysis was done with the Rosetta Resolver gene expression analysis software (version 7.0, Rosetta Biosoftware, Seattle, WA).

ORGANISM(S): Homo sapiens

SUBMITTER: Paul Grosu

PROVIDER: E-GEOD-19417 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A 4-gene signature predicts survival of patients with resected adenocarcinoma of the esophagus, junction, and gastric cardia.

Peters Christopher J CJ Rees Jonathan R E JR Hardwick Richard H RH Hardwick James S JS Vowler Sarah L SL Ong Chin-Ann J CA Zhang Chunsheng C Save Vicki V O'Donovan Maria M Rassl Doris D Alderson Derek D Caldas Carlos C Fitzgerald Rebecca C RC

Gastroenterology 20100602 6

<h4>Background & aims</h4>The incidence of esophageal and junctional adenocarcinoma has increased 6-fold in the past 30 years and 5-year survival remains approximately 20%. Current staging is limited in its ability to predict survival which has ramifications for treatment choices. The aim of this study was to generate and validate a molecular prognostic signature for esophageal adenocarcinoma.<h4>Methods</h4>Gene expression profiling was performed and the resulting 42,000 gene signatures correla ...[more]

PMID: 20621683

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Dataset Information

Human esophageal adenocarcinomas

Publications

A 4-gene signature predicts survival of patients with resected adenocarcinoma of the esophagus, junction, and gastric cardia.

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