Predictive algorithms for adjuvant therapy: TransATAC

Dowsett, M., Salter, J., Zabaglo, L., Mallon, E., Howell, A., Buzdar, A. U., Forbes, J., Pineda, S. and Cuzick, J. (2011) Predictive algorithms for adjuvant therapy: TransATAC. Steroids, 76(8), pp. 777-780. (doi: 10.1016/j.steroids.2011.02.032)

Abstract

Estrogen receptor (ER) positive primary breast cancers have a wide range of clinical outcomes. Prediction of the likely course of the disease aids treatment decision-making. In the translational arm of the ATAC (anastrozole or tamoxifen alone or combined) trial (TransATAC) we have assessed individual and multiparameter biomarkers for their prediction of overall and distant recurrence. None of the biomarkers identified differential benefit for anastrozole versus tamoxifen. Each of ER, PgR, HER2 and Ki67 was associated with risk of recurrence. A combination of these to create a single predictor IHC4 was as informative as the 21-gene recurrence score (RS). Integration of each of these molecular profiles with classical clinicopathologic variables provided the most accurate prediction of outcome. (C) 2011 Elsevier Inc. All rights reserved

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Mallon, Dr Elizabeth
• Authors: Dowsett, M., Salter, J., Zabaglo, L., Mallon, E., Howell, A., Buzdar, A. U., Forbes, J., Pineda, S., and Cuzick, J.
• College/School: College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing
• Journal Name: Steroids
• ISSN: 0039-128X