Molecular Cytogenetics

unofficial impact factor 2.41

Open Access Research

Candidate metastasis suppressor genes uncovered by array comparative genomic hybridization in a mouse allograft model of prostate cancer

Yajun Yi1, Srinivas Nandana2, Thomas Case2, Colleen Nelson3, Tatjana Radmilovic1, Robert J Matusik2 and Karen D Tsuchiya4,5*

Author Affiliations

1 Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA

2 Department of Urologic Surgery and Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA

3 Department of Urologic Sciences, University of British Columbia, The Prostate Centre at Vancouver General Hospital, Vancouver, British Columbia, Canada

4 Clinical Research Division, Fred Hutchinson Cancer Research Center and Department of Laboratories, Seattle Children's Hospital, WA, USA

5 Department of Laboratory Medicine, University of Washington School of Medicine, Seattle, WA, USA

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Molecular Cytogenetics 2009, 2:18 doi:10.1186/1755-8166-2-18

Published: 26 September 2009

Additional files

Additional file 1:

Weighted scoring for the selection of candidate genes in 2E5-2F3. Detailed description of the weighted scoring method that was used to select candidate suppressor genes in the differentially deleted region of chromosome 2 between metastasizing and non-metastasizing allografts.

Format: DOC Size: 24KB Download file

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Additional file 2:

T-test sliding window whole genome and chromosome 2 analysis. Comparison of expression array results between metastatic and non-metastatic allografts using a T-test sliding window analysis.

Format: PPT Size: 333KB Download file

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Additional file 3:

Complete candidate gene list. Complete list of candidate genes from the 2E5-2F3 identified from the function-based bioinformatics filter and the cancer expression signature filter.

Format: DOC Size: 52KB Download file

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Open Data