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Gene expression profiling of microdissected pancreatic ductal carcinomas using high-density DNA microarrays

  • Robert Grützmann
  • , Christian Pilarsky
  • , Ole Ammerpohl
  • , Jutta Lüttges
  • , Armin Böhme
  • , Bence Sipos
  • , Melanie Foerder
  • , Ingo Alldinger
  • , Beatrix Jahnke
  • , Hans Konrad Schackert
  • , Holger Kalthoff
  • , Bernd Kremer
  • , Günter Klöppel
  • , Hans Detlev Saeger
  • Universitätsklinikum Carl Gustav Carus Dresden
  • Technische Universität Dresden
  • University Hospital Schleswig-Holstein

Research output: Contribution to journalArticlepeer-review

177 Scopus citations

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains an important cause of malignancy-related death and is the eighth most common cancer with the lowest overall 5-year relative survival rate. To identify new molecular markers and candidates for new therapeutic regimens, we investigated the gene expression profile of microdissected cells from 11 normal pancreatic ducts, 14 samples of PDAC, and 4 well-characterized pancreatic cancer cell lines using the Affymetrix U133 GeneChip set. RNA was extracted from microdissected samples and cell lines, amplified, and labeled using a repetitive in vitro transcription protocol. Differentially expressed genes were identified using the significance analysis of microarrays program. We found 616 differentially expressed genes. Within these, 140 were also identified in PDAC by others, such as Galectin-1, Galectin-3, and MT-SP2. We validated the differential expression of several genes (e.g., CENPF, MCM2, MCM7, RAMP, IRAK1, and PTTG1) in PDAC by immunohistochemistry and reverse transcription polymerase chain reaction. We present a whole genome expression study of microdissected tissues from PDAC, from microdissected normal ductal pancreatic cells and pancreatic cancer cell lines using high-density microarrays. Within the panel of genes, we identified novel differentially expressed genes, which have not been associated with the pathogenesis of PDAC before.

Original languageEnglish
Pages (from-to)611-622
Number of pages12
JournalNeoplasia
Volume6
Issue number5
DOIs
StatePublished - 2004
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

  • IRAK1
  • MCM7
  • Microarray
  • Microdissection
  • Pancreatic cancer

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