Choosing the right cell line for breast cancer research

Deborah L Holliday, Valerie Speirs (Corresponding Author)

Research output: Contribution to journalReview article

630 Citations (Scopus)
4 Downloads (Pure)

Abstract

Breast cancer is a complex and heterogeneous disease. Gene expression profiling has contributed significantly to our understanding of this heterogeneity at a molecular level, refining taxonomy based on simple measures such as histological type, tumour grade, lymph node status and the presence of predictive markers like oestrogen receptor and human epidermal growth factor receptor 2 (HER2) to a more sophisticated classification comprising luminal A, luminal B, basal-like, HER2-positive and normal subgroups. In the laboratory, breast cancer is often modelled using established cell lines. In the present review we discuss some of the issues surrounding the use of breast cancer cell lines as experimental models, in light of these revised clinical classifications, and put forward suggestions for improving their use in translational breast cancer research.

Original languageEnglish
Article number215
JournalBreast Cancer Research
Volume13
DOIs
Publication statusPublished - 12 Aug 2011

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Breast Neoplasms
Cell Line
Research
Gene Expression Profiling
Estrogen Receptors
Theoretical Models
Lymph Nodes
Neoplasms
human ERBB2 protein

Keywords

  • Animals
  • Breast Neoplasms
  • Cell Line, Tumor
  • Estrogen Receptor alpha
  • Female
  • Humans
  • Mice
  • Neoplastic Stem Cells
  • Receptor, ErbB-2
  • Receptors, Progesterone
  • Research Design
  • Xenograft Model Antitumor Assays
  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Review

Cite this

Choosing the right cell line for breast cancer research. / Holliday, Deborah L; Speirs, Valerie (Corresponding Author).

In: Breast Cancer Research, Vol. 13, 215, 12.08.2011.

Research output: Contribution to journalReview article

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KW - Breast Neoplasms

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KW - Female

KW - Humans

KW - Mice

KW - Neoplastic Stem Cells

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KW - Receptors, Progesterone

KW - Research Design

KW - Xenograft Model Antitumor Assays

KW - Journal Article

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