Discovery and validation of breast cancer subtypes
Author Information
Author(s): Amy V. Kapp, Stefanie S. Jeffrey, Anita Langerød, Anne-Lise Børresen-Dale, Wonshik Han, Dong-Young Noh, Ida R. K. Bukholm, Monica Nicolau, Patrick O. Brown, Robert Tibshirani
Primary Institution: Stanford University
Hypothesis
Can breast cancer tumor tissue samples be classified into distinct subtypes based on DNA microarray profiles?
Conclusion
The study identified and validated three breast cancer subtypes that are significant predictors of overall survival and distant metastasis-free probability.
Supporting Evidence
- The study validated three breast cancer subtypes statistically.
- The subtypes were found to be significant predictors of overall survival.
- The method used can classify any microarray sample indexed by UniGene Cluster ID.
Takeaway
Researchers found three types of breast cancer that can help doctors predict how patients will do, based on their tumor's genes.
Methodology
Analysis of 599 microarrays using a novel approach to classify breast cancer subtypes.
Limitations
The normal breast-like and luminal A subtypes were not validated at an α = 0.05 significance level.
Statistical Information
P-Value
6.7188 × 10^-8
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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