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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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Published in: | Breast cancer research : BCR 2011-08, Vol.13 (4), p.215-215, Article 215 |
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container_issue | 4 |
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container_title | Breast cancer research : BCR |
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creator | Holliday, Deborah L Speirs, Valerie |
description | 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. |
doi_str_mv | 10.1186/bcr2889 |
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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 |
title | Choosing the right cell line for breast cancer research |
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