Classifying Selective Oestrogen Receptor Modulators in Breast Cancer
Author Information
Author(s): Levenson A S, Kliakhandler I L, Svoboda K M, Pease K M, Kaiser S A, Ward, III J E, Jordan V C
Primary Institution: Robert H Lurie Comprehensive Cancer Center, Northwestern University Medical School
Hypothesis
The study aims to classify selective oestrogen receptor modulators based on gene expression profiles in breast cancer cells.
Conclusion
The study found that selective oestrogen receptor modulators induce similar gene expression profiles in breast cancer cells, suggesting a need for more precise classification methods.
Supporting Evidence
- The study identified gene expression profiles in breast cancer cells treated with various selective oestrogen receptor modulators.
- Results showed that ICI 182,780 clustered with oestradiol and raloxifene in certain cell lines.
- Correlation coefficients for gene expression profiles ranged from 0.83 to 0.98, indicating small differences between treatments.
Takeaway
This study looked at how different drugs affect breast cancer cells and found that many of them act similarly, which can help doctors choose the right treatment.
Methodology
The study used cDNA microarrays to analyze gene expression profiles in breast cancer cells treated with various selective oestrogen receptor modulators.
Limitations
The study's findings may be limited by the use of a single cell line and the small number of genes represented on the arrays.
Digital Object Identifier (DOI)
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