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Transcriptome analysis of microdissected pancreatic intraepithelial neoplastic lesions

  • Malte Buchholz
  • , Mike Braun
  • , Anna Heidenblut
  • , Hans A. Kestler
  • , Günter Klöppel
  • , Wolff Schmiegel
  • , Stephan A. Hahn
  • , Jutta Lüttges
  • , Thomas M. Gress
  • University Medical Center Ulm and Center of Excellence 'Metabolic Disorders'
  • Max-Planck-lnstitut für Kohlenforschung
  • Christian-Albrechts-Universitat zu Kiel

Research output: Contribution to journalArticlepeer-review

172 Scopus citations

Abstract

Pancreatic ductal adenocarcinoma (PDAC) carries the most dismal prognosis of all solid tumours. Both the late clinical presentation of patients, due to lack of early symptoms, as well as the rapid and aggressive course of the disease contribute to the extremely high mortality of this malignancy. Recently, a multistep progression model for PDAC integrating morphological, clinical and molecular evidence has been proposed. Putative precursor lesions, termed pancreatic intraepithelial neoplasia (PanIN), are classified into three different grades (PanIN-1 through -3) based on the degree of cellular atypia they display. We have conducted large-scale expression profiling analyses of microdissected cells from normal pancreatic ducts, PanINs of different grades and PDACs using whole-genome oligonucleotide microarrays. Verification of hybridisation results for selected genes was performed using quantitative real-time PCR and immunohistochemical analyses on PanIN tissue microarrays. Comparison of the expression profiles demonstrated that the greatest changes in gene expression occur between PanIN stages 1B and 2, suggesting that PanIN-2 may represent the first truly preneoplastic stage in PDAC progression. Our results identify a large number of potential target genes for the development of novel molecular diagnostic and therapeutic tools for the prevention and early diagnosis of PDAC and provide novel insights into the pathophysiological mechanisms involved in tumour progression in the pancreas.

Original languageEnglish
Pages (from-to)6626-6636
Number of pages11
JournalOncogene
Volume24
Issue number44
DOIs
StatePublished - 6 Oct 2005
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Early diagnosis
  • Gene expression
  • PanIN progression
  • Target genes

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