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BMC Cancer. 2008 Oct 29;8:314. doi: 10.1186/1471-2407-8-314.

Integrating chromosomal aberrations and gene expression profiles to dissect rectal tumorigenesis.

Author information

1
Department of Pathology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, the Netherlands. j.morreau@Lumc.nl.

Abstract

BACKGROUND:

Accurate staging of rectal tumors is essential for making the correct treatment choice. In a previous study, we found that loss of 17p, 18q and gain of 8q, 13q and 20q could distinguish adenoma from carcinoma tissue and that gain of 1q was related to lymph node metastasis. In order to find markers for tumor staging, we searched for candidate genes on these specific chromosomes.

METHODS:

We performed gene expression microarray analysis on 79 rectal tumors and integrated these data with genomic data from the same sample series. We performed supervised analysis to find candidate genes on affected chromosomes and validated the results with qRT-PCR and immunohistochemistry.

RESULTS:

Integration of gene expression and chromosomal instability data revealed similarity between these two data types. Supervised analysis identified up-regulation of EFNA1 in cases with 1q gain, and EFNA1 expression was correlated with the expression of a target gene (VEGF). The BOP1 gene, involved in ribosome biogenesis and related to chromosomal instability, was over-expressed in cases with 8q gain. SMAD2 was the most down-regulated gene on 18q, and on 20q, STMN3 and TGIF2 were highly up-regulated. Immunohistochemistry for SMAD4 correlated with SMAD2 gene expression and 18q loss.

CONCLUSION:

On basis of integrative analysis this study identified one well known CRC gene (SMAD2) and several other genes (EFNA1, BOP1, TGIF2 and STMN3) that possibly could be used for rectal cancer characterization.

PMID:
18959792
PMCID:
PMC2584339
DOI:
10.1186/1471-2407-8-314
[Indexed for MEDLINE]
Free PMC Article

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