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    Predictive algorithms for adjuvant therapy: TransATAC.

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    Authors
    Dowsett, Mitch
    Salter, Janine
    Zabaglo, Lila
    Mallon, Elizabeth A
    Howell, Anthony
    Buzdar, Aman
    Forbes, John F
    Pineda, S
    Cuzick, Jack
    Affiliation
    Academic Department of Biochemistry, Royal Marsden Hospital, Fulham Road, London SW36JJ, UK.
    Issue Date
    2011-07
    
    Metadata
    Show full item record
    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.
    Citation
    Predictive algorithms for adjuvant therapy: TransATAC. 2011, 76 (8):777-80 Steroids
    Journal
    Steroids
    URI
    http://hdl.handle.net/10541/146613
    DOI
    10.1016/j.steroids.2011.02.032
    PubMed ID
    21470560
    Type
    Article
    Language
    en
    ISSN
    1878-5867
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.steroids.2011.02.032
    Scopus Count
    Collections
    All Christie Publications
    Medical Oncology

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