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Systematic identification and molecular characterization of genes differentially expressed in breast and ovarian cancer
Author(s) -
Dahl Edgar,
SadrNabavi Ariane,
Klopocki Eva,
Betz Beate,
Grube Susanne,
Kreutzfeld Rene,
Himmelfarb Marina,
An HanXiang,
Gelling Stephen,
Klaman Irina,
Hinzmann Bernd,
Kristiansen Glen,
Grützmann Robert,
Kuner Ruprecht,
Petschke Beate,
Rhiem Kerstin,
Wiechen Kai,
Sers Christine,
Wiestler Otmar,
Schneider Achim,
Höfler Heinz,
Nährig Jörg,
Dietel Manfred,
Schäfer Reinhold,
Rosenthal André,
Schmutzler Rita,
Dürst Matthias,
Meindl Alfons,
Niederacher Dieter
Publication year - 2005
Publication title -
the journal of pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.964
H-Index - 184
eISSN - 1096-9896
pISSN - 0022-3417
DOI - 10.1002/path.1687
Subject(s) - gene , biology , ovarian cancer , breast cancer , candidate gene , reference genes , complementary dna , context (archaeology) , computational biology , gene expression profiling , cdna library , genetics , cancer , polymerase chain reaction , gene expression , cancer research , paleontology
The identification of novel disease‐associated genes in gynaecological tumours has important implications for understanding the process of tumourigenesis and the development of novel treatment regimens. cDNA libraries from disease tissues may represent a valuable source to identify such genes. Recently, a bio‐informatic procedure based on an ‘electronic Northern’ approach was established to screen expressed sequence tag (EST) libraries for genes differentially expressed in tumour and normal tissues, and identified 450 candidate genes differentially expressed in breast and ovarian cancer. In this report, the validation of an initial set of 40 candidate genes, which were selected due to their localization in chromosomal regions frequently altered in gynaecological tumours, is described. Differential expression of 29 of these genes, including three uncharacterized novel genes, was confirmed by applying cancer profiling arrays with 106 matched pairs of tumour/normal cDNAs and quantitative reverse transcription‐polymerase chain reaction (RT‐PCR) on 60 clinical specimens. The majority of these differentially expressed genes have not been described previously in the context of breast and ovarian cancer, and may constitute novel diagnostic markers for these tumour entities. Copyright © 2004 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.