Journal of Clinical Oncology, Vol 25, No 10 (April 1), 2007: pp. 1239-1246
© 2007 American Society of Clinical Oncology.
DOI: 10.1200/JCO.2006.07.1522
Definition of Clinically Distinct Molecular Subtypes in Estrogen ReceptorPositive Breast Carcinomas Through Genomic Grade
Sherene Loi,
Benjamin Haibe-Kains,
Christine Desmedt,
Françoise Lallemand,
Andrew M. Tutt,
Cheryl Gillet,
Paul Ellis,
Adrian Harris,
Jonas Bergh,
John A. Foekens,
Jan G.M. Klijn,
Denis Larsimont,
Marc Buyse,
Gianluca Bontempi,
Mauro Delorenzi,
Martine J. Piccart,
Christos Sotiriou
From the Jules Bordet Institute; Machine Learning Group, Université Libre de Bruxelles; International Drug and Development Institute, Brussels, Belgium; Peter MacCallum Cancer Center, Melbourne, Australia; Guys Hospital, London; John Radcliffe Hospital, Oxford, United Kingdom; Karolinska Institute, Stockholm, Sweden; Erasmus Medical Center, Daniel den Hoed Cancer Center, Rotterdam, the Netherlands; National Center of Competence in Research Molecular Oncology, Swiss Institute of Cancer Research and Swiss Institute of Bioinformatics, Epalinges, Switzerland
Address reprint requests to Christos Sotiriou, MD, PhD, Translational Research Unit, Jules Bordet Institute, Université Libre de Bruxelles, 121 Blvd de Waterloo, 1000 Brussels, Belgium; e-mail: christos.sotiriou{at}bordet.be
Purpose A number of microarray studies have reported distinct molecular profiles of breast cancers (BC), such as basal-like, ErbB2-like, and two to three luminal-like subtypes. These were associated with different clinical outcomes. However, although the basal and the ErbB2 subtypes are repeatedly recognized, identification of estrogen receptor (ER) positive subtypes has been inconsistent. Therefore, refinement of their molecular definition is needed.
Materials and Methods We have previously reported a gene expression grade index (GGI), which defines histologic grade based on gene expression profiles. Using this algorithm, we assigned ER-positive BC to either highor lowgenomic grade subgroups and compared these with previously reported ER-positive molecular classifications. As further validation, we classified 666 ER-positive samples into subtypes and assessed their clinical outcome.
Results Two ER-positive molecular subgroups (high and low genomic grade) could be defined using the GGI. Despite tracking a single biologic pathway, these were highly comparable to the previously described luminal A and B classification and significantly correlated to the risk groups produced using the 21-gene recurrence score. The two subtypes were associated with statistically distinct clinical outcome in both systemically untreated and tamoxifen-treated populations.
Conclusion The use of genomic grade can identify two clinically distinct ER-positive molecular subtypes in a simple and highly reproducible manner across multiple data sets. This study emphasizes the important role of proliferation-related genes in predicting prognosis in ER-positive BC.
Supported by grants from the Jean-Claude Heuson Breast Cancer Foundation (S.L., C.S.), the Belgian National Foundation for Research (FNRS; B.H.-K., C.D., C.S.), the E. Lauder Breast Cancer Foundation (C.S.), and the MEDIC Foundation (C.S.).
S.L., B.H.-K., and C.D. contributed equally to this article.
Authors disclosures of potential conflicts of interest and author contributions are found at the end of this article.

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