CELL AND MOLECULAR BIOLOGY OF PANCREATIC CARCINOMA: RECENT DEVELOPMENTS IN RESEARCH AND EXPERIMENTAL THERAPY
Copyright © 1999 by the New York Academy of Sciences
description
Annals of the New York Academy of Sciences 880:122-146 (1999)
© 1999 New York Academy of Sciences
Strategies for the Detection of Disease Genes in Pancreatic Cancer
C. WALLRARRa,d ,
F. MÜLLER-PILLASCHa,d,
A. MICHAa,
C. WENGERa,
M. GENGa,
S. SOLINAS-TOLDOb,
P. LICHTERb,
M. FROHMEc,
J.D. HOHEISELc,
G. ADLERa AND
T. M. GRESSAe
aUniversität Ulm, Abteilung Innere Medizin I, Robert Koch Str. 8, 89081 Ulm, Germany
bDeutsches Krebsforschungszentrum, Abteilung Organisation komplexer Genome, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
cDeutsches Krebsforschungszentrum, Labor fü Funktionelle Genomanalyse, Im Neuenheimer Feld 506, 69120 Heidelberg, Germany
dC.W. and F.W.-P have continued equally to the work presented in this review, and should both be considered first authors.
eCorresponding author: PD.Dr.Thomas Gress, Abteilung Innere Medizin I, Universtä Ulm, Robert Koch Str. 8, 89081 Ulm, Germany. Phone, +49 731-502-4311/4385; fax, +49 731-502-4302; e-mail, thomas.gress{at}medizin.uni.ulm.de
The present review summarizes our strategies aimed at identifying and characterizing genetic alterations occurring at the transcriptional and chromosomal level in pancreatic cancer. To study trancriptional alterations we have used a number of techniques including modified versions of differential hybridizations and cDNA RDA (representational difference analysis). These approaches have led to the identification of more than 500 genes with differen tial expression in pancreatic cancer. To study chromosomal aberrations occurring in pancreatic cancer tissues we used comparative genomic hybridization (CGH). This allowed the identification of a number of chromosomal regions containing putative tumor suppressor genes or oncogenes. Genes isolated in both approaches represent potential new disease genes for pancreatic cancer and are at present being characterized by individual or serial analysis.
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