Choosing the right cell line for breast cancer research

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 pre...

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Bibliographic Details
Published in:Breast cancer research : BCR 2011-08, Vol.13 (4), p.215-215, Article 215
Main Authors: Holliday, Deborah L, Speirs, Valerie
Format: Article
Language:English
Subjects:
Animals
Breast cancer
Breast Neoplasms - metabolism
Breast Neoplasms - pathology
Cancer research
Cell Line, Tumor
Epidermal growth factors
Estrogen Receptor alpha - metabolism
Estrogens
Female
Gene expression
Humans
Mice
Neoplastic Stem Cells - pathology
Receptor, ErbB-2 - metabolism
Receptors, Progesterone - metabolism
Research Design
Review
Xenograft Model Antitumor Assays
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Summary: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.
ISSN:1465-542X
1465-5411
1465-542X
DOI:10.1186/bcr2889