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Genome Biol. 2006;7(10):R101. Epub 2006 Oct 31.

A consensus prognostic gene expression classifier for ER positive breast cancer.

Author information

1
Cancer Genomics Program, Department of Oncology, University of Cambridge, Hutchison/MRC Research Center, Hills Road, Cambridge CB2 2XZ, UK. aet21@cam.ac.uk.

Abstract

BACKGROUND:

A consensus prognostic gene expression classifier is still elusive in heterogeneous diseases such as breast cancer.

RESULTS:

Here we perform a combined analysis of three major breast cancer microarray data sets to hone in on a universally valid prognostic molecular classifier in estrogen receptor (ER) positive tumors. Using a recently developed robust measure of prognostic separation, we further validate the prognostic classifier in three external independent cohorts, confirming the validity of our molecular classifier in a total of 877 ER positive samples. Furthermore, we find that molecular classifiers may not outperform classical prognostic indices but that they can be used in hybrid molecular-pathological classification schemes to improve prognostic separation.

CONCLUSION:

The prognostic molecular classifier presented here is the first to be valid in over 877 ER positive breast cancer samples and across three different microarray platforms. Larger multi-institutional studies will be needed to fully determine the added prognostic value of molecular classifiers when combined with standard prognostic factors.

PMID:
17076897
PMCID:
PMC1794561
DOI:
10.1186/gb-2006-7-10-r101
[Indexed for MEDLINE]
Free PMC Article

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