MicroRNA Profiling in Breast Cancer
Author Information
Author(s): Cherie Blenkiron, Leonard D. Goldstein, Natalie P. Thorne, Inmaculada Spiteri, Suet-Feung Chin, Mark J. Dunning, Nuno L. Barbosa-Morais, Andew E. Teschendorff, Andrew R. Green, Ian O. Ellis, Simon Tavaré, Carlos Caldas, E. A. Miska
Primary Institution: Cancer Research UK, Cambridge Research Institute
Hypothesis
Can microRNA expression profiling classify breast cancer into prognostic molecular subtypes?
Conclusion
The study shows that microRNA expression can classify breast cancer into different subtypes and is associated with clinical factors.
Supporting Evidence
- 133 miRNAs were expressed in normal breast and breast tumors.
- miRNAs were differentially expressed among breast cancer subtypes.
- Changes in miRNA expression correlated with genomic alterations in some cases.
Takeaway
This study looked at tiny molecules called microRNAs in breast cancer to see if they can help tell different types of breast cancer apart.
Methodology
The study used bead-based flow cytometric miRNA expression profiling to analyze 93 primary human breast tumors.
Limitations
The study's findings need to be validated in larger, prospective studies.
Participant Demographics
The study included 93 primary human breast tumors, with a focus on various tumor subtypes.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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