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Vol. 9, No. 1-2, 2009
Issue release date: April 2009
Section title: Molecular Diagnosis of Pancreatic Cancer: Review Series
Pancreatology 2009;9:13–24
(DOI:10.1159/000178871)

Genome-Wide Analysis of Pancreatic Cancer Using Microarray-Based Techniques

Harada T. · Chelala C. · Crnogorac-Jurcevic T. · Lemoine N.R.
Centre for Molecular Oncology, Cancer Research UK, Institute of Cancer, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK

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Article / Publication Details

First-Page Preview
Abstract of Molecular Diagnosis of Pancreatic Cancer: Review Series

Received: 2/14/2008
Accepted: 1/7/2008
Published online: 12/12/2008

Number of Print Pages: 12
Number of Figures: 3
Number of Tables: 3

ISSN: 1424-3903 (Print)
eISSN: 1424-3911 (Online)

For additional information: http://www.karger.com/PAN

Abstract

Background/Aims: Microarray-based comparative genomic hybridisation (CGH) has allowed high-resolution analysis of DNA copy number alterations across the entire cancer genome. Recent advances in bioinformatics tools enable us to perform a robust and highly sensitive analysis of array CGH data and facilitate the discovery of novel cancer-related genes. Methods: We analysed a total of 29 pancreatic ductal adenocarcinoma (PDAC) samples (6 cell lines and 23 microdissected tissue specimens) using 1-Mb-spaced CGH arrays. The transcript levels of all genes within the identified regions of genetic alterations were then screened using our Pancreatic Expression Database. Results: In addition to 238 high-level amplifications and 35 homozygous deletions, we identified 315 minimal common regions of ‘non-random’ genetic alterations (115 gains and 200 losses) which were consistently observed across our tumour samples. The small size of these aberrations (median size of 880 kb) contributed to the reduced number of candidate genes included (on average 12 Ensembl-annotated genes). The database has further specified the genes whose expression levels are consistent with their copy number status. Such genes were UQCRB, SQLE, DDEF1, SLA, ERICH1 and DLC1, indicating that these may be potential target candidates within regions of aberrations. Conclusion: This study has revealed multiple novel regions that may indicate the locations of oncogenes or tumour suppressor genes in PDAC. Using the database, we provide a list of novel target genes whose altered DNA copy numbers could lead to significant changes in transcript levels in PDAC.


  

Author Contacts

Prof. Nicholas R. Lemoine, MD, PhD, FMedSci
Centre for Molecular Oncology, Cancer Research UK, Institute of Cancer
Barts and The London School of Medicine and Dentistry, Queen Mary
University of London, Charterhouse Square, London EC1M 6BQ (UK)
Tel. +44 20 7014 0420, Fax +44 20 7014 0461, E-Mail nick.lemoine@cancer.org.uk

  

Article Information

Published online: December 12, 2008
Number of Print Pages : 12
Number of Figures : 3, Number of Tables : 3, Number of References : 51

  

Publication Details

Pancreatology

Vol. 9, No. 1-2, Year 2009 (Cover Date: April 2009)

Journal Editor: Urrutia R. (Rochester, Minn.)
ISSN: 1424-3903 (Print), eISSN: 1424-3911 (Online)

For additional information: http://www.karger.com/PAN


Article / Publication Details

First-Page Preview
Abstract of Molecular Diagnosis of Pancreatic Cancer: Review Series

Received: 2/14/2008
Accepted: 1/7/2008
Published online: 12/12/2008

Number of Print Pages: 12
Number of Figures: 3
Number of Tables: 3

ISSN: 1424-3903 (Print)
eISSN: 1424-3911 (Online)

For additional information: http://www.karger.com/PAN


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