BMC Cancer

official impact factor 3.15

Open Access Highly Access Research article

Gene expression patterns associated with p53 status in breast cancer

Melissa A Troester1*, Jason I Herschkowitz2,3, Daniel S Oh2,3, Xiaping He2,4, Katherine A Hoadley2,3, Claire S Barbier5 and Charles M Perou2,4,5

Author Affiliations

1 Division of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA

2 Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

3 Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

4 Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

5 Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

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BMC Cancer 2006, 6:276 doi:10.1186/1471-2407-6-276

Published: 6 December 2006

Additional files

Additional file 1:

Microsoft Excel spreadsheet (196 kB) containing lists of genes for which expression levels were significantly associated with p53 loss (in 2-class SAM analyses).

Format: XLS Size: 196KB Download file

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Open Data

Additional file 2:

Cluster figure showing parents and RNAi-transductants for all four parent cell lines (MCF-7, ZR-75-1, HME-CC, and ME16C). Genes included are the 696 genes identified as significant by SAM analyses comparing parents to RNAi-transductants.

Format: PDF Size: 467KB Download file

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Open Data