A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes

Richard M. Neve, Koei Chin, Jane Fridlyand, Jennifer Yeh, Frederick L. Baehner, Tea Fevr, Laura Clark, Nora Bayani, Jean Philippe Coppe, Frances Tong, Terry Speed, Paul T. Spellman, Sandy DeVries, Anna Lapuk, Nick J. Wang, Wen Lin Kuo, Jackie L. Stilwell, Daniel Pinkel, Donna G. Albertson, Frederic M. WaldmanFrank McCormick, Robert B. Dickson, Michael D. Johnson, Marc Lippman, Stephen Ethier, Adi Gazdar, Joe W. Gray

Research output: Contribution to journalArticlepeer-review


Recent studies suggest that thousands of genes may contribute to breast cancer pathophysiologies when deregulated by genomic or epigenomic events. Here, we describe a model "system" to appraise the functional contributions of these genes to breast cancer subsets. In general, the recurrent genomic and transcriptional characteristics of 51 breast cancer cell lines mirror those of 145 primary breast tumors, although some significant differences are documented. The cell lines that comprise the system also exhibit the substantial genomic, transcriptional, and biological heterogeneity found in primary tumors. We show, using Trastuzumab (Herceptin) monotherapy as an example, that the system can be used to identify molecular features that predict or indicate response to targeted therapies or other physiological perturbations.

Original languageEnglish (US)
Pages (from-to)515-527
Number of pages13
JournalCancer Cell
Issue number6
StatePublished - Dec 2006

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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