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Open AccessHighly AccessResearch article

EGFR associated expression profiles vary with breast tumor subtype

Katherine A Hoadley1,2,3 email, Victor J Weigman2,3,4 email, Cheng Fan2,3 email, Lynda R Sawyer5 email, Xiaping He2,3 email, Melissa A Troester6 email, Carolyn I Sartor3,7 email, Thais Rieger-House8 email, Philip S Bernard8 email, Lisa A Carey5 email and Charles M Perou1,2,3,9 email

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

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

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

Department of Biology, Program of in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Division of Hematology/Oncology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Department of Public Health – Biostatistics and Epidemiology Concentration, University of Massachusetts Amherst, Amherst, MA, USA

Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Huntsman Cancer Institute and Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA

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

author email corresponding author email

BMC Genomics 2007, 8:258doi:10.1186/1471-2164-8-258

Published: 31 July 2007

Additional files

Additional file 1:

Gefitinib and carboplatin combinations in breast cancer-derived cell lines. Cells were treated for 72 h with constant ratios of the IC50 doses for both gefitinib and carboplatin. Combination Index (CI) values below one are synergistic, equal to one are additive, and greater than one are antagonistic.

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Additional file 2:

Full cluster diagram for the gene expression patterns of SUM102 cells treated with gefitinib or cetuximab.

Format: PDF Size: 275KB Download file

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Additional file 3:

Full cluster diagram for the in vivo EGFR-activation profiles clustered on the UNC tumor data set.

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Additional file 4:

Genes from Cluster #1–3. Genes identified from the 500 SUM102 genes clustered on the UNC tumor dataset.

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Additional file 5:

Clinical data associated with each tumor sample.

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