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High-resolution characterization of the pancreatic adenocarcinoma genome
Author(s) -
Andrew J. Aguirre,
Cameron Brennan,
Gerald Bailey,
Raktim Sinha,
Bin Feng,
Christopher Leo,
Yunyu Zhang,
Jean Zhang,
Joseph D. Gans,
Nabeel Bardeesy,
Craig Cauwels,
Carlos CordonCardo,
Mark Redston,
Ronald A. DePinho,
Lynda Chin
Publication year - 2004
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.0402932101
Subject(s) - comparative genomic hybridization , pancreatic cancer , biology , copy number analysis , gene , genome , adenocarcinoma , computational biology , genetics , copy number variation , gene expression profiling , microarray , gene dosage , cancer research , microbiology and biotechnology , cancer , gene expression
The pancreatic adenocarcinoma genome harbors multiple amplifications and deletions, pointing to the existence of numerous oncogenes and tumor suppressor genes driving the genesis and progression of this lethal cancer. Here, array comparative genomic hybridization on a cDNA microarray platform and informatics tools have been used to define the copy number alterations in a panel of 24 pancreatic adenocarcinoma cell lines and 13 primary tumor specimens. This high-resolution genomic analysis has identified all known regional gains and losses as well as many previously uncharacterized highly recurrent copy number alterations. A systematic prioritization scheme has selected 64 focal minimal common regions (MCRs) of recurrent copy number change. These MCRs possess a median size of 2.7 megabases (Mb), with 21 (33%) MCRs spanning 1 Mb or less (median of 0.33 Mb) and possessing an average of 15 annotated genes. Furthermore, complementary expression profile analysis of a significant fraction of the genes residing within these 64 prioritized MCRs has enabled the identification of a subset of candidates with statistically significant association between gene dosage and mRNA expression. Thus, the integration of DNA and RNA profiles provides a highly productive entry point for the discovery of genes involved in the pathogenesis of pancreatic adenocarcinoma.

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