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Discovery and validation of breast cancer subtypes

Cited 89 time in Web of Science Cited 98 time in Scopus
Authors
Kapp, Amy V; Jeffrey, Stefanie S; Langerød, Anita; Børresen-Dale, Anne-Lise; Han, Wonshik; Noh, Dong-Young; Bukholm, Ida RK; Nicolau, Monica; Brown, Patrick O; Tibshirani, Robert
Issue Date
2006-09-11
Publisher
BioMed Central
Citation
BMC Genomics, 7(1):231
Description
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0),
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Abstract

Background
Previous studies demonstrated breast cancer tumor tissue samples could be classified into different subtypes based upon DNA microarray profiles. The most recent study presented evidence for the existence of five different subtypes: normal breast-like, basal, luminal A, luminal B, and ERBB2+.


Results
Based upon the analysis of 599 microarrays (five separate cDNA microarray datasets) using a novel approach, we present evidence in support of the most consistently identifiable subtypes of breast cancer tumor tissue microarrays being: ESR1+/ERBB2-, ESR1-/ERBB2-, and ERBB2+ (collectively called the ESR1/ERBB2 subtypes). We validate all three subtypes statistically and show the subtype to which a sample belongs is a significant predictor of overall survival and distant-metastasis free probability.


Conclusion
As a consequence of the statistical validation procedure we have a set of centroids which can be applied to any microarray (indexed by UniGene Cluster ID) to classify it to one of the ESR1/ERBB2 subtypes. Moreover, the method used to define the ESR1/ERBB2 subtypes is not specific to the disease. The method can be used to identify subtypes in any disease for which there are at least two independent microarray datasets of disease samples.
Language
English
URI
http://hdl.handle.net/10371/100466
DOI
https://doi.org/10.1186/1471-2164-7-231
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College of Medicine/School of Medicine (의과대학/대학원)Surgery (외과학전공)Journal Papers (저널논문_외과학전공)
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