BMC Cancer

official impact factor 3.15

Open Access Research article

Chromosomal imbalance in the progression of high-risk non-muscle invasive bladder cancer

Karsten Zieger1,2*, Carsten Wiuf3, Klaus ME Jensen2, Torben F Ørntoft1 and Lars Dyrskjøt1

Author Affiliations

1 Department of Molecular Medicine, Aarhus University Hospital Skejby, Aarhus N, Denmark

2 Department of Urology, Aarhus University Hospital Skejby, Aarhus N, Denmark

3 Bioinformatics Research Center, Aarhus University, Aarhus, Denmark

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BMC Cancer 2009, 9:149 doi:10.1186/1471-2407-9-149

Published: 16 May 2009

Additional files

Additional file 1:

Clinical data of the patients in the study. Including age and gender, stage and grade of the primary and (if different) analysed tumors, supplementary treatment (BCG), CIS-status, length of follow-up/progression-free survival, causes of death and overall survival.

Format: XLS Size: 46KB Download file

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Open Data

Additional file 2:

Genome-wide copy number differences, 50 K+10 K data (6.4 K resolution). Graphical illustration of genome-wide copy number differences between tumors with and with no subsequent progression. Compiled results of all SNP microarray data (n = 46) with a resolution of 6.4 K SNPs.

Format: PDF Size: 813KB Download file

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Open Data

Additional file 3:

Genome-wide differences in probability of LOH, 50 K+10 K data. Graphical illustration of genome-wide differences in probability of LOH between tumors with and with no subsequent progression. Compiled results of all SNP microarray data (n = 47).

Format: PDF Size: 630KB Download file

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Open Data

Additional file 4:

Genome-wide copy number differences, 50 K data only (41 K resolution). Graphical illustration of genome-wide copy number differences between tumors with and with no subsequent progression. 50 K SNP microarray data only (n = 29).

Format: PDF Size: 867KB Download file

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Open Data

Additional file 5:

Genome-wide differences in probability of LOH, 50 K data only. Graphical illustration of genome-wide differences in probability of LOH between tumors with and with no subsequent progression. 50 K SNP microarray data only (n = 28).

Format: PDF Size: 650KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 6:

Selected gene loci, primer sequences and genomic annotation of the amplicons used for QPCR validation.

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Open Data

Additional file 7:

Chromosomal imbalance of the analysed tumors. Contains detailed data of the fractions of the genome altered (FGA), specified separately for copy number and LOH changes, as well as the number of QPCR copy number alterations

Format: XLS Size: 41KB Download file

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Open Data