Literature DB >> 16280043

CYP2D6 variants and the prediction of tamoxifen response in randomized patients: author response.

Pia P Wegman, Sten Wingren.   

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Year:  2005        PMID: 16280043      PMCID: PMC1410755          DOI: 10.1186/bcr1326

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


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Rae and coworkers [1] argued that there may be selection bias in our recently published study [2] and that, in fact, our findings are consistent with their previously reported data. Our study (hereafter referred to as the 'current study') [2] was conducted to validate whether polymorphisms in genes that encode metabolic enzymes may predict the response to tamoxifen among oestrogen receptor (ER)-positive postmenopausal breast cancer patients randomly assigned to treatment with or without tamoxifen. The initial trial was begun in 1976 in Stockholm, Sweden and patient material from approximately one-third of the initial population was available for use in the current study. In the Materials and method section of the report we compared characteristics such as lymph node status, ER status and tumour size between the initial and current study populations, and found that these parameters were similarly distributed throughout the populations. However, despite these similarities, selection bias could not be completely excluded, and this was noted in our conclusion, as was the need for confirmation of our findings in a larger randomized trial. Initially, we assessed possible differences in prognostic value between genotypes of CYP2D6 and SULT1A1 in the study population (including both ER-negative and ER-positive patients). However, the primary aim was to investigate whether these genotypes could predict response to tamoxifen therapy in ER-positive patients. Strikingly, patients with different CYP2D6 genotypes responded differently to therapy. We found no variation in distant recurrence-free survival among homozygous carriers of the CYP2D6*1 allele, but a significant difference was noted in carriers of the CYP2D6*4 allele. Recently, Nowell and coworkers [3] conducted a similar study in which they investigated the same CYP2D6 polymorphism in patients either receiving or not receiving tamoxifen treatment. They found that the CYP2D6*4 variant allele appeared to be associated with decreases in death and recurrence rates. To our knowledge, no previous studies have been performed to elucidate the predictive value of CYP2D6 genotypes on tamoxifen treatment. Rae and colleagues [1] interpret our data as consistent with their findings, suggesting that CYP2D6 poor metabolizers may derive less benefit from tamoxifen treatment. We disagree with that view. In support of their conclusion, Dr Rae and colleagues cite a meeting abstract of a study in which all patients were treated with tamoxifen and were not randomized according to tamoxifen treatment [4]. Our analysis represents a different comparison than that reported by Goetz and coworkers because, even though the sample population sizes are similar, result interpretation is highly dependent on randomization and study design. In our opinion we cannot endorse Dr. Rae's statement that our findings are consistent with their data.

Competing interests

The author(s) declare that they have no competing interests.
  3 in total

1.  Association of genetic variation in tamoxifen-metabolizing enzymes with overall survival and recurrence of disease in breast cancer patients.

Authors:  Susan A Nowell; Jiyoung Ahn; James M Rae; Joshua O Scheys; Andrew Trovato; Carol Sweeney; Stewart L MacLeod; Fred F Kadlubar; Christine B Ambrosone
Journal:  Breast Cancer Res Treat       Date:  2005-06       Impact factor: 4.872

2.  CYP2D6 genotype and tamoxifen response.

Authors:  James M Rae; Matthew P Goetz; Daniel F Hayes; James N Ingle; Lang Li; Anna Maria Storniolo; Vered Stearns; David A Flockhart
Journal:  Breast Cancer Res       Date:  2005-07-29       Impact factor: 6.466

3.  Genotype of metabolic enzymes and the benefit of tamoxifen in postmenopausal breast cancer patients.

Authors:  Pia Wegman; Linda Vainikka; Olle Stål; Bo Nordenskjöld; Lambert Skoog; Lars-Erik Rutqvist; Sten Wingren
Journal:  Breast Cancer Res       Date:  2005-01-28       Impact factor: 6.466

  3 in total
  3 in total

Review 1.  New insights into the metabolism of tamoxifen and its role in the treatment and prevention of breast cancer.

Authors:  V Craig Jordan
Journal:  Steroids       Date:  2007-07-27       Impact factor: 2.668

2.  ESR1 promoter hypermethylation does not predict atypia in RPFNA nor persistent atypia after 12 months tamoxifen chemoprevention.

Authors:  Joseph C Baker; Julie H Ostrander; Siya Lem; Gloria Broadwater; Gregory R Bean; Nicholas C D'Amato; Vanessa K Goldenberg; Craig Rowell; Catherine Ibarra-Drendall; Tracey Grant; Patrick G Pilie; Shauna N Vasilatos; Michelle M Troch; Victoria Scott; Lee G Wilke; Carolyn Paisie; Sarah M Rabiner; Alejandro Torres-Hernandez; Carola M Zalles; Victoria L Seewaldt
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-08       Impact factor: 4.254

3.  Determination of CYP2D6 *3, *4, and *10 frequency in women with breast cancer in São Luís, Brazil, and its association with prognostic factors and disease-free survival.

Authors:  D M F Martins; F C B Vidal; R D M Souza; S A Brusaca; L M O Brito
Journal:  Braz J Med Biol Res       Date:  2014-09-05       Impact factor: 2.590

  3 in total

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