Predictive algorithms for adjuvant therapy: transATAC

Title: Predictive algorithms for adjuvant therapy: transATAC
Creator: Dowsett, Mitch; Salter, Janine; Zabaglo, Lila; Mallon, Elizabeth; Howell, Antony; Buzdar, Aman U.; Forbes, John; Pineda, S.; Cuzick, Jack
Relation: Steroids Vol. 76, Issue 8, p. 777-780
Publisher Link: http://dx.doi.org/10.1016/j.steroids.2011.02.032
Publisher: Elsevier
Resource Type: journal article
Date: 2011
Description: 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.
Subject: predictive algorithm; endocrine therapy; aromatase inhibitor
Identifier: http://hdl.handle.net/1959.13/937105
Identifier: uon:12497
Identifier: ISSN:0039-128X
Language: eng
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