CYP2D6 as a treatment decision aid for ER-positive non-metastatic breast cancer patients: a systematic review with accompanying clinical practice guidelines View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Britt I. Drögemöller, Galen E. B. Wright, Joanne Shih, Jose G. Monzon, Karen A. Gelmon, Colin J. D. Ross, Ursula Amstutz, Bruce C. Carleton, the CPNDS Clinical Recommendations Group

ABSTRACT

PURPOSE: Tamoxifen is one of the principal treatments for estrogen receptor (ER)-positive breast cancer. Unfortunately, between 30 and 50% of patients receiving this hormonal therapy relapse. Since CYP2D6 genetic variants have been reported to play an important role in survival outcomes after treatment with tamoxifen, this study sought to summarize and critically appraise the available scientific evidence on this topic. METHODS: A systematic literature review was conducted to identify studies investigating associations between CYP2D6 genetic variation and survival outcomes after tamoxifen treatment. Critical appraisal of the retrieved scientific evidence was performed, and recommendations were developed for CYP2D6 genetic testing in the context of tamoxifen therapy. RESULTS: Although conflicting literature exists, the majority of the current evidence points toward CYP2D6 genetic variation affecting survival outcomes after tamoxifen treatment. Of note, review of the CYP2D6 genotyping assays used in each of the studies revealed the importance of comprehensive genotyping strategies to accurately predict CYP2D6 metabolizer phenotypes. CONCLUSIONS AND RECOMMENDATIONS: Critical appraisal of the literature provided evidence for the value of comprehensive CYP2D6 genotyping panels in guiding treatment decisions for non-metastatic ER-positive breast cancer patients. Based on this information, it is recommended that alternatives to standard tamoxifen treatments may be considered in CYP2D6 poor or intermediate metabolizers. More... »

PAGES

521-532

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10549-018-5027-0

    DOI

    http://dx.doi.org/10.1007/s10549-018-5027-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1109783584

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30411242


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