Addendum to:

Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.

Farahnaz Forozan, Eija H. Mahlamäki, Outi Monni, Yidong Chen, Robin Veldman, Yuan Jiang, Gerald C. Gooden, Stephen P. Ethier, Anne Kallioniemi, and Olli-P. Kallioniemi.


Cancer Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892-4470, USA.


CANCER RESEARCH · VOLUME 60 · 4519-4525 · AUGUST 2000

 

  Table 1. Highly Upregulated Genes

  Tables 2a-d. Significantly Changed Genes

  MCF-7

  SKBR-3

  SUM-52

  ZR-75-1

  Figure 2. Summary of Gains and Losses

  Figure 3. Most Common Gains and Losses

  Figure 4. Regions of High-Level Amplification

  CGH Ideograms



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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