Literature DB >> 19118028

Clinical implications of CYP2D6 genotyping in tamoxifen treatment for breast cancer.

Vincent O Dezentjé1, Henk-Jan Guchelaar, Johan W R Nortier, Cornelis J H van de Velde, Hans Gelderblom.   

Abstract

In October 2006 the Food and Drug Administration recommended an update in the tamoxifen label to reflect the increased risk of recurrence in breast cancer patients who are cytochrome P450 2D6 (CYP2D6) poor metabolizers. This recommendation was based on only a few studies at that time. More clinical studies addressing the relation between the CYP2D6 genotype and tamoxifen efficacy have been published since, mostly describing Caucasian populations in the adjuvant treatment setting. An updated analysis of the literature is presented. Furthermore, the possibility to implement CYP2D6 genotyping in clinical practice is evaluated by analyzing the results of six studies on mainly Caucasian patients using adjuvant tamoxifen. Three studies were consistent with the FDA advice, but the three other studies showed contradictory results. Although some of the published criticism on the negative studies is justified, this does not imply that these results should be discarded. The reviewed literature is put in perspective acknowledging the limiting effect of Mendelian randomization on confounding and the limitations of the various study designs. The current accumulation of data showing worse clinical outcome in patients with decreased CYP2D6 metabolism in other types of populations still indicates that the CYP2D6 genotype may well become a clinically relevant predictive marker. The CYP2D6 genotype might be one of the first predictors of therapeutic response in cancer care based on germline DNA creating the possibility to analyze blood instead of tumor.

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Year:  2009        PMID: 19118028     DOI: 10.1158/1078-0432.CCR-08-2006

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  20 in total

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9.  The impact of CYP2D6-predicted phenotype on tamoxifen treatment outcome in patients with metastatic breast cancer.

Authors:  L A Lammers; R H J Mathijssen; T van Gelder; M J Bijl; A-J M de Graan; C Seynaeve; M A van Fessem; E M Berns; A G Vulto; R H N van Schaik
Journal:  Br J Cancer       Date:  2010-08-10       Impact factor: 7.640

10.  Estrogen exposure, metabolism, and enzyme variants in a model for breast cancer risk prediction.

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Journal:  Cancer Inform       Date:  2009-05-05
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