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Experiment Name
Junnila et al.: Genome-wide gene copy number and expression analysis of primary gastric tumors and gastric cancer cell lines.
Accession
CG-EXP-49
Project
BBC Group Public
Authors
Junnila S, Kokkola A, Karjalainen-Lindsberg ML, Puolakkainen P, Monni O.
PubMed ID
20187983
Keywords
gastric cancer, copy number, expression, microarray, oncogene
Abstract
BACKGROUND: Gastric cancer is one of the most common malignancies worldwide and the second most common cause of cancer related death. Gene copy number alterations play an important role in the development of gastric cancer and a change in gene copy number is one of the main mechanisms for a cancer cell to control the expression of potential oncogenes and tumor suppressor genes.
METHODS: To highlight genes of potential biological and clinical relevance in gastric cancer, we carried out a systematic array-based survey of gene expression and copy number levels in primary gastric tumors and gastric cancer cell lines and validated the results using an affinity capture based transcript analysis (TRAC assay) and real-time qRT-PCR.
RESULTS: Integrated microarray analysis revealed altogether 256 genes that were located in recurrent regions of gains or losses and had at least a 2-fold copy number- associated change in their gene expression. The expression levels of 13 of these genes, ALPK2, ASAP1, CEACAM5, CYP3A4, ENAH, ERBB2, HHIPL2, LTB4R, MMP9, PERLD1, PNMT, PTPRA, and OSMR, were validated in a total of 118 gastric samples using either the qRT-PCR or TRAC assay. All of these 13 genes were differentially expressed between cancerous samples and nonmalignant tissues (p < 0.05) and the association between copy number and gene expression changes was validated for nine (69.2%) of these genes (p < 0.05).
CONCLUSION: In conclusion, integrated gene expression and copy number microarray analysis highlighted genes that may be critically important for gastric carcinogenesis. TRAC and qRT-PCR analyses validated the microarray results and therefore the role of these genes as potential biomarkers for gastric cancer.
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Contents
[+]
Series:
244K CGH data
CG-SER-273
[+]
Series:
44K expression data
CG-SER-274
Data Files
CanGEM Generated
Gene calls.igv
(3.89 MB)
Gene frequencies.igv
(2.27 MB)
Created
2009-02-17 15:42:12 by
Siina Junnila
Last modified
2010-08-27 13:38:21 by
Ilari Scheinin
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session ID: d32dcfc3e067a73b6897800b8f00c1c6