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Genes Involved in Invasion and Metastasis of Gastric Cancer Identified by Array-Based Hybridization and Serial Analysis of Gene Expression

Oue N.a · Aung P.P.a · Mitani Y.a · Kuniyasu H.b · Nakayama H.a · Yasui W.a

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Departments of Molecular Pathology,aHiroshima University Graduate School of Biomedical Sciences, Hiroshima, and bNara Medical University, Kashihara, Japan

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Oncology 2005;69:17–22

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Article / Publication Details

First-Page Preview
Abstract of Paper

Published online: October 04, 2005
Issue release date: September 2005

Number of Print Pages: 6
Number of Figures: 1
Number of Tables: 1

ISSN: 0030-2414 (Print)
eISSN: 1423-0232 (Online)

For additional information: https://www.karger.com/OCL

Abstract

Gastric cancer (GC) is still a serious health problem and remains the second most common type of fatal cancer worldwide. Comprehensive gene expression analyses may be useful to identify genes associated with invasion/metastasis in GC. Among them, array-based hybridization and serial analysis of gene expression (SAGE) are currently the most common approaches. Over the past 3 years, several large-scale gene expression studies with array-based hybridization and SAGE have been performed and several genes have been identified. This review describes genes associated with invasion/metastasis in GC which have been identified by array-based hybridization and SAGE. We compared the expression levels of the genes identified by array-based hybridization with our SAGE data. In addition, expression of the candidate genes obtained by SAGE was further investigated by quantitative RT-PCR of 40 GC samples. MIA and GW112 were overexpressed in 10 (25%) and 22 (55%) of 40 GC samples, and the overexpression of these two genes was associated with tumor stage, respectively. We also discuss the significance of HMGB1/amphoterin in invasion and metastasis of GC.

© 2005 S. Karger AG, Basel


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Article / Publication Details

First-Page Preview
Abstract of Paper

Published online: October 04, 2005
Issue release date: September 2005

Number of Print Pages: 6
Number of Figures: 1
Number of Tables: 1

ISSN: 0030-2414 (Print)
eISSN: 1423-0232 (Online)

For additional information: https://www.karger.com/OCL


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