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The Gene Expression Response of Breast Cancer to Growth Regulators: Patterns and Correlation with Tumor Expression Profiles Heather E. Cunliffe, Markus Ringnér, Sven Bilke, Robert L. Walker, Jennifer M. Cheung, Yidong Chen, and Paul S. Meltzer1 |
Cancer Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892 [H. E. C., R. L. W., J. M. C., Y. C., P. S. M.]; Complex Systems Division, Department of Theoretical Physics, Lund University, SE-223 62 Lund, Sweden [M. R.]; and Advanced Technology Center, National Cancer Institute, Gaithersburg, Maryland 20877 [S. B.]
CANCER RESEARCH · VOLUME 63 · 7158-7166 · NOVEMBER 2003
Supplemental information:
- Article
Cunliffe et al.pdf (PDF file)
- Supplementary Figures and tables
Supplementary Fig.1.pdf (PDF file)
[List of 386 hormonally regulated genes from Fig. 3].
Supplementary Fig 2.pdf (PDF file)
[List of 714 genes regulated in kinase signaling from Fig. 4].
Supplementary Fig 3.pdf (PDF file)
[List of 1023 genes regulated across all treatment conditions. Included are the positions of genes predictive for ER status and poor prognosis (van't Veer et al, Nature, 415: 530-536, 2002).
Supplementary Table 1.pdf (PDF file)
[List of genes corresponding to Gene Ontology peaks from Fig. 6]
- Supplemental Data
Supplementary data.xls (XLS file)
[ratio expression data for all 1023 genes shown and ordered as in Figure 5].
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Supplementary information for Javed Khan, et. al, Nature Medicine, 7(6):673-679, 2001. |
The Nature Medicine paper: Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks is available here. |
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