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A Consensus Prognostic Gene Expression Classifier for ER Positive Breast Cancer

Overview
Journal Genome Biol
Specialties Biology
Genetics
Date 2006 Nov 2
PMID 17076897
Citations 49
Authors
Affiliations
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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.

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References
1.
Segal E, Friedman N, Koller D, Regev A . A module map showing conditional activity of expression modules in cancer. Nat Genet. 2004; 36(10):1090-8. DOI: 10.1038/ng1434. View

2.
Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M . A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004; 351(27):2817-26. DOI: 10.1056/NEJMoa041588. View

3.
Royston P, Sauerbrei W . A new measure of prognostic separation in survival data. Stat Med. 2004; 23(5):723-48. DOI: 10.1002/sim.1621. View

4.
J van t Veer L, Dai H, van de Vijver M, He Y, Hart A, Mao M . Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002; 415(6871):530-6. DOI: 10.1038/415530a. View

5.
Ein-Dor L, Kela I, Getz G, Givol D, Domany E . Outcome signature genes in breast cancer: is there a unique set?. Bioinformatics. 2004; 21(2):171-8. DOI: 10.1093/bioinformatics/bth469. View