Literature DB >> 25618289

Individualization of tamoxifen therapy: much more than just CYP2D6 genotyping.

Lisette Binkhorst1, Ron H J Mathijssen2, Agnes Jager2, Teun van Gelder3.   

Abstract

Clinical response to tamoxifen varies widely among women treated with this drug for hormone receptor-positive breast cancer. The principal active metabolite - endoxifen - is generated through hepatic metabolism of tamoxifen, with key roles for cytochrome P450 (CYP) CYP2D6 and CYP3A. By influencing endoxifen formation, genetic variants of CYP2D6 may affect response to tamoxifen. After a decade of research, examining the effects of CYP2D6 genetic variants on tamoxifen efficacy, there is still no agreement on the clinical utility of CYP2D6 genotype as biomarker for the prediction of breast cancer outcome, because studies revealed conflicting results. However, tamoxifen metabolism is complex and involves several other drug-metabolizing enzymes. Genetic variants of other CYP enzymes, including CYP3A4 and CYP2C9/19, as well as co-medication interfering with the metabolic activity of CYP2D6 and CYP3A4 have been shown to affect endoxifen concentrations and may also contribute to the variability in response to tamoxifen. Phenotyping strategies can predict endoxifen exposure more accurately than CYP2D6 genotype, but do not take into account all factors influencing endoxifen exposure. Therapeutic drug monitoring (TDM) is likely to be the optimal strategy for individualization of tamoxifen treatment. According to a growing amount of literature, endoxifen concentration seems to be a predictor of clinical outcome. The relationship between endoxifen levels and breast cancer outcomes has to be replicated and confirmed and the value of TDM should be evaluated in prospective clinical trials. Caution is advised regarding the concomitant use of medications which could interact with tamoxifen, including inhibitors and inducers of CYP enzymes.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CYP2D6; Endoxifen; Pharmacogenetics; Pharmacokinetics; Tamoxifen; Therapeutic drug monitoring

Mesh:

Substances:

Year:  2015        PMID: 25618289     DOI: 10.1016/j.ctrv.2015.01.002

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  30 in total

1.  Tamoxifen metabolism in breast cancer treatment: Taking the focus off the CYP2D6 gene.

Authors:  A Novillo; A Romero-Lorca; M Gaibar; M Rubio; A Fernández-Santander
Journal:  Pharmacogenomics J       Date:  2016-10-04       Impact factor: 3.550

Review 2.  Pharmacoepidemiologic Methods for Studying the Health Effects of Drug-Drug Interactions.

Authors:  S Hennessy; C E Leonard; J J Gagne; J H Flory; X Han; C M Brensinger; W B Bilker
Journal:  Clin Pharmacol Ther       Date:  2015-11-23       Impact factor: 6.875

3.  Exploiting Pharmacokinetic Models of Tamoxifen and Endoxifen to Identify Factors Causing Subtherapeutic Concentrations in Breast Cancer Patients.

Authors:  Lena Klopp-Schulze; Markus Joerger; Sebastian G Wicha; Rob Ter Heine; Chantal Csajka; Zinnia P Parra-Guillen; Charlotte Kloft
Journal:  Clin Pharmacokinet       Date:  2018-02       Impact factor: 6.447

Review 4.  Precision Oncology Medicine: The Clinical Relevance of Patient-Specific Biomarkers Used to Optimize Cancer Treatment.

Authors:  Keith T Schmidt; Cindy H Chau; Douglas K Price; William D Figg
Journal:  J Clin Pharmacol       Date:  2016-06-17       Impact factor: 3.126

5.  Cytochrome P450 Allele CYP3A7*1C Associates with Adverse Outcomes in Chronic Lymphocytic Leukemia, Breast, and Lung Cancer.

Authors:  Nichola Johnson; Paolo De Ieso; Gabriele Migliorini; Nick Orr; Peter Broderick; Daniel Catovsky; Athena Matakidou; Timothy Eisen; Christy Goldsmith; Frank Dudbridge; Julian Peto; Isabel Dos-Santos-Silva; Alan Ashworth; Gillian Ross; Richard S Houlston; Olivia Fletcher
Journal:  Cancer Res       Date:  2016-03-15       Impact factor: 12.701

Review 6.  Pharmacogenetics of tamoxifen therapy in Asian populations: from genetic polymorphism to clinical outcomes.

Authors:  Tingyu Wang; Yitian Zhou; Guosheng Cao
Journal:  Eur J Clin Pharmacol       Date:  2021-01-29       Impact factor: 2.953

7.  Editorial: Improving cancer chemotherapy through pharmacogenomics: a research topic.

Authors:  Luis A Quiñones; Kuen S Lee
Journal:  Front Genet       Date:  2015-06-03       Impact factor: 4.599

8.  Computational Treatment Simulations to Assess the Need for Personalized Tamoxifen Dosing in Breast Cancer Patients of Different Biogeographical Groups.

Authors:  Anna Mueller-Schoell; Robin Michelet; Lena Klopp-Schulze; Madelé van Dyk; Thomas E Mürdter; Matthias Schwab; Markus Joerger; Wilhelm Huisinga; Gerd Mikus; Charlotte Kloft
Journal:  Cancers (Basel)       Date:  2021-05-18       Impact factor: 6.639

Review 9.  Targeted therapies for ER+/HER2- metastatic breast cancer.

Authors:  Mutsuko Yamamoto-Ibusuki; Monica Arnedos; Fabrice André
Journal:  BMC Med       Date:  2015-06-09       Impact factor: 8.775

10.  Variations in plasma concentrations of tamoxifen metabolites and the effects of genetic polymorphisms on tamoxifen metabolism in Korean patients with breast cancer.

Authors:  Hye In Woo; Se Kyung Lee; Jiyoung Kim; Seok Won Kim; Jonghan Yu; Soo Youn Bae; Jeong Eon Lee; Seok Jin Nam; Soo-Youn Lee
Journal:  Oncotarget       Date:  2017-11-01
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