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Improved Prediction of Endoxifen Metabolism by CYP2D6 Genotype in Breast Cancer Patients Treated with Tamoxifen

Purpose: Prediction of impaired tamoxifen (TAM) to endoxifen metabolism may be relevant to improve breast cancer treatment, e.g., via TAM dose increase. The polymorphic cytochrome P450 2D6 (CYP2D6) strongly determines an individual’s capacity for endoxifen formation, however, CYP2D6 phenotype assign...

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Autores principales: Schroth, Werner, Winter, Stefan, Mürdter, Thomas, Schaeffeler, Elke, Eccles, Diana, Eccles, Bryony, Chowbay, Balram, Khor, Chiea C., Tfayli, Arafat, Zgheib, Nathalie K., Eichelbaum, Michel, Schwab, Matthias, Brauch, Hiltrud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609540/
https://www.ncbi.nlm.nih.gov/pubmed/28955222
http://dx.doi.org/10.3389/fphar.2017.00582
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author Schroth, Werner
Winter, Stefan
Mürdter, Thomas
Schaeffeler, Elke
Eccles, Diana
Eccles, Bryony
Chowbay, Balram
Khor, Chiea C.
Tfayli, Arafat
Zgheib, Nathalie K.
Eichelbaum, Michel
Schwab, Matthias
Brauch, Hiltrud
author_facet Schroth, Werner
Winter, Stefan
Mürdter, Thomas
Schaeffeler, Elke
Eccles, Diana
Eccles, Bryony
Chowbay, Balram
Khor, Chiea C.
Tfayli, Arafat
Zgheib, Nathalie K.
Eichelbaum, Michel
Schwab, Matthias
Brauch, Hiltrud
author_sort Schroth, Werner
collection PubMed
description Purpose: Prediction of impaired tamoxifen (TAM) to endoxifen metabolism may be relevant to improve breast cancer treatment, e.g., via TAM dose increase. The polymorphic cytochrome P450 2D6 (CYP2D6) strongly determines an individual’s capacity for endoxifen formation, however, CYP2D6 phenotype assignments inferred from genotype widely differ between studies. Thus, we modeled plasma endoxifen predictability depending on variable CYP2D6 genotype groupings. Methods: CYP2D6 diplotype and metabolite plasma concentrations were assessed in 908 pre- and post-menopausal estrogen receptor (ER)-positive, TAM treated early breast cancer patients of Caucasian (N = 678), Middle-Eastern Arab (N = 77), and Asian (N = 153) origin. Robust coefficients of determination (R(2)) were estimated for endoxifen (E) or metabolic ratio endoxifen/desmethyl-TAM (E/DMT) as dependent and different CYP2D6 phenotype assignments as independent variables. Allele activity scores (ASs) were modified with respect to a reduced (∗)10 allele activity. Predictability of endoxifen plasma concentrations above the clinical threshold of 5.9 ng/mL was investigated by receiver operating characteristic (ROC) analysis. Results: CYP2D6 diplotypes (N = 898) were strongly associated with E and E/DMT independent of age (P < 10(-15)). Across all ethnicities, 68–82% inter-patient variability of E/DMT was explained by CYP2D6 diplotype, while plasma endoxifen was predictable by 39–58%. The previously used codeine specific phenotype classification showed worse prediction for both endpoints particularly in Asians (median R(2)< 20%; P < 10(-9)). Downgrading of (∗)10 activity slightly improved the explanatory value of metabolizer phenotype (P < 0.002). Endoxifen plasma concentrations above the clinical threshold of 5.9 ng/mL were achieved in 82.3% of patients and were predictable (96% sensitivity, 57% specificity) by CYP2D6 diplotypes with AS > 0.5, i.e., omitting PM/PM and PM/IM patients. Conclusion: The CYP2D6 explanatory power for active drug level assessment is maximized by TAM-specific phenotype assignments while a genotype cutoff that separates PM/PM and PM/IM from the remaining patients may improve clinical benefit via increased endoxifen concentrations.
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spelling pubmed-56095402017-09-27 Improved Prediction of Endoxifen Metabolism by CYP2D6 Genotype in Breast Cancer Patients Treated with Tamoxifen Schroth, Werner Winter, Stefan Mürdter, Thomas Schaeffeler, Elke Eccles, Diana Eccles, Bryony Chowbay, Balram Khor, Chiea C. Tfayli, Arafat Zgheib, Nathalie K. Eichelbaum, Michel Schwab, Matthias Brauch, Hiltrud Front Pharmacol Pharmacology Purpose: Prediction of impaired tamoxifen (TAM) to endoxifen metabolism may be relevant to improve breast cancer treatment, e.g., via TAM dose increase. The polymorphic cytochrome P450 2D6 (CYP2D6) strongly determines an individual’s capacity for endoxifen formation, however, CYP2D6 phenotype assignments inferred from genotype widely differ between studies. Thus, we modeled plasma endoxifen predictability depending on variable CYP2D6 genotype groupings. Methods: CYP2D6 diplotype and metabolite plasma concentrations were assessed in 908 pre- and post-menopausal estrogen receptor (ER)-positive, TAM treated early breast cancer patients of Caucasian (N = 678), Middle-Eastern Arab (N = 77), and Asian (N = 153) origin. Robust coefficients of determination (R(2)) were estimated for endoxifen (E) or metabolic ratio endoxifen/desmethyl-TAM (E/DMT) as dependent and different CYP2D6 phenotype assignments as independent variables. Allele activity scores (ASs) were modified with respect to a reduced (∗)10 allele activity. Predictability of endoxifen plasma concentrations above the clinical threshold of 5.9 ng/mL was investigated by receiver operating characteristic (ROC) analysis. Results: CYP2D6 diplotypes (N = 898) were strongly associated with E and E/DMT independent of age (P < 10(-15)). Across all ethnicities, 68–82% inter-patient variability of E/DMT was explained by CYP2D6 diplotype, while plasma endoxifen was predictable by 39–58%. The previously used codeine specific phenotype classification showed worse prediction for both endpoints particularly in Asians (median R(2)< 20%; P < 10(-9)). Downgrading of (∗)10 activity slightly improved the explanatory value of metabolizer phenotype (P < 0.002). Endoxifen plasma concentrations above the clinical threshold of 5.9 ng/mL were achieved in 82.3% of patients and were predictable (96% sensitivity, 57% specificity) by CYP2D6 diplotypes with AS > 0.5, i.e., omitting PM/PM and PM/IM patients. Conclusion: The CYP2D6 explanatory power for active drug level assessment is maximized by TAM-specific phenotype assignments while a genotype cutoff that separates PM/PM and PM/IM from the remaining patients may improve clinical benefit via increased endoxifen concentrations. Frontiers Media S.A. 2017-08-24 /pmc/articles/PMC5609540/ /pubmed/28955222 http://dx.doi.org/10.3389/fphar.2017.00582 Text en Copyright © 2017 Schroth, Winter, Mürdter, Schaeffeler, Eccles, Eccles, Chowbay, Khor, Tfayli, Zgheib, Eichelbaum, Schwab and Brauch. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Schroth, Werner
Winter, Stefan
Mürdter, Thomas
Schaeffeler, Elke
Eccles, Diana
Eccles, Bryony
Chowbay, Balram
Khor, Chiea C.
Tfayli, Arafat
Zgheib, Nathalie K.
Eichelbaum, Michel
Schwab, Matthias
Brauch, Hiltrud
Improved Prediction of Endoxifen Metabolism by CYP2D6 Genotype in Breast Cancer Patients Treated with Tamoxifen
title Improved Prediction of Endoxifen Metabolism by CYP2D6 Genotype in Breast Cancer Patients Treated with Tamoxifen
title_full Improved Prediction of Endoxifen Metabolism by CYP2D6 Genotype in Breast Cancer Patients Treated with Tamoxifen
title_fullStr Improved Prediction of Endoxifen Metabolism by CYP2D6 Genotype in Breast Cancer Patients Treated with Tamoxifen
title_full_unstemmed Improved Prediction of Endoxifen Metabolism by CYP2D6 Genotype in Breast Cancer Patients Treated with Tamoxifen
title_short Improved Prediction of Endoxifen Metabolism by CYP2D6 Genotype in Breast Cancer Patients Treated with Tamoxifen
title_sort improved prediction of endoxifen metabolism by cyp2d6 genotype in breast cancer patients treated with tamoxifen
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609540/
https://www.ncbi.nlm.nih.gov/pubmed/28955222
http://dx.doi.org/10.3389/fphar.2017.00582
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