High throughput techniques for characterizing the expression profile of Barrett's esophagus

Jantine W. P. M. van Baal*, K. K. Krishnadath

*Corresponding author for this work

Research output: Contribution to journalLiterature reviewpeer-review

Abstract

Barrett's esophagus (BE) is the metaplastic change of the normal lined squamous epithelium of the distal esophagus to a columnar type of epithelium as a result of chronic long-standing gastroesophageal reflux disease. Patients with BE have a significantly increased risk of developing an esophageal adenocarcinoma, with an estimated annual incidence varying from 0.4 to 1.8%. Over the last 3 decades, the incidence of BE and its associated adenocarcinoma has increased in Western countries at a rate that exceeds that of any other malignancy. Despite all the research performed on BE, there is still an inadequate understanding of the biological basis of this mucosal transformation. With the upcoming modern high throughput technologies, important progression has been made in unraveling the expression profiles and gaining more insight in the biology of BE and esophageal adenocarcinoma. Several studies reported genome, transcriptome, proteome, and kinome investigations using high throughput techniques. These studies were conducted to find biomakers that can be used to detect BE patients with increased risk for malignant progression or to obtain more insight in the mechanism underlying BE development. In the following review, we first discuss the different techniques that are currently available and summarize findings in this field, including several recent publications of our group.

Original languageEnglish
Pages (from-to)634-640
Number of pages7
JournalDiseases of the Esophagus
Volume21
Issue number7
DOIs
Publication statusPublished - 2008

Keywords

  • Barrett's esophagus
  • gene expression profile
  • kinase-array
  • metaplasia
  • microarray
  • SAGE
  • NORMAL SQUAMOUS ESOPHAGUS
  • GENE-EXPRESSION
  • SERIAL ANALYSIS
  • GASTRIC CARDIA
  • CANCER-CELLS
  • HUMAN GENOME
  • ADENOCARCINOMA
  • PATTERNS
  • REVEALS

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