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Molecular Cytogenetics

, 2:18

First Online: 26 September 2009Received: 06 April 2009Accepted: 26 September 2009

Abstract

BackgroundThe purpose of this study was to identify candidate metastasis suppressor genes from a mouse allograft model of prostate cancer NE-10. This allograft model originally developed metastases by twelve weeks after implantation in male athymic nude mice, but lost the ability to metastasize after a number of in vivo passages. We performed high resolution array comparative genomic hybridization on the metastasizing and non-metastasizing allografts to identify chromosome imbalances that differed between the two groups of tumors.

ResultsThis analysis uncovered a deletion on chromosome 2 that differed between the metastasizing and non-metastasizing tumors. Bioinformatics filters were employed to mine this region of the genome for candidate metastasis suppressor genes. Of the 146 known genes that reside within the region of interest on mouse chromosome 2, four candidate metastasis suppressor genes Slc27a2, Mall, Snrpb, and Rassf2 were identified. Quantitative expression analysis confirmed decreased expression of these genes in the metastasizing compared to non-metastasizing tumors.

ConclusionThis study presents combined genomics and bioinformatics approaches for identifying potential metastasis suppressor genes. The genes identified here are candidates for further studies to determine their functional role in inhibiting metastases in the NE-10 allograft model and human prostate cancer.

List of abbreviationsNE-10mouse allograft established from a primary tumor from the LPB-Tag mouse model of prostate cancer

PCaprostate cancer

SQnon-metnon-metastasizing subcutaneous allograft

SQmetmetastasizing subcutaneous allograft

LiverMetliver metastases

CGHcomparative genomic hybridization

BACbacterial artificial chromosome

DFRsdifferential flagged regions

TTSWT-test sliding window.

Electronic supplementary materialThe online version of this article doi:10.1186-1755-8166-2-18 contains supplementary material, which is available to authorized users.

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Author: Yajun Yi - Srinivas Nandana - Thomas Case - Colleen Nelson - Tatjana Radmilovic - Robert J Matusik - Karen D Tsuchiya

Source: https://link.springer.com/







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