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Polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in post-menopausal patients with breast cancer
Discovery of clinical and genetic predictors of exemestane pharmacokinetics was attempted in 246 post-menopausal patients with breast cancer enrolled on a prospective clinical study. A sample was collected two hours after exemestane dosing at a 1 or 3 month study visit to measure drug concentration....
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323433/ https://www.ncbi.nlm.nih.gov/pubmed/27549341 http://dx.doi.org/10.1038/tpj.2016.60 |
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author | Hertz, Daniel L. Kidwell, Kelley M. Seewald, Nicholas J. Gersch, Christina L. Desta, Zeruesenay Flockhart, David A Storniolo, Ana-Maria Stearns, Vered Skaar, Todd C Hayes, Daniel F Henry, N. Lynn Rae, James M. |
author_facet | Hertz, Daniel L. Kidwell, Kelley M. Seewald, Nicholas J. Gersch, Christina L. Desta, Zeruesenay Flockhart, David A Storniolo, Ana-Maria Stearns, Vered Skaar, Todd C Hayes, Daniel F Henry, N. Lynn Rae, James M. |
author_sort | Hertz, Daniel L. |
collection | PubMed |
description | Discovery of clinical and genetic predictors of exemestane pharmacokinetics was attempted in 246 post-menopausal patients with breast cancer enrolled on a prospective clinical study. A sample was collected two hours after exemestane dosing at a 1 or 3 month study visit to measure drug concentration. The primary hypothesis was that patients carrying the low-activity CYP3A4*22 (rs35599367) SNP would have greater exemestane concentration. Additional SNPs in genes relevant to exemestane metabolism (CYP1A1/2, CYP1B1, CYP3A4, CYP4A11, AKR1C3/4, AKR7A2) were screened in secondary analyses and adjusted for clinical covariates. CYP3A4*22 was associated with a 54% increase in exemestane concentration (p<0.01). Concentration was greater in patients who reported White race, had elevated aminotransferases, renal insufficiency, lower body mass index, and had not received chemotherapy (all p<0.05), and CYP3A4*22 maintained significance after adjustment for covariates (p<0.01). These genetic and clinical predictors of exemestane concentration may be useful for treatment individualization in patients with breast cancer. |
format | Online Article Text |
id | pubmed-5323433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
record_format | MEDLINE/PubMed |
spelling | pubmed-53234332017-11-30 Polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in post-menopausal patients with breast cancer Hertz, Daniel L. Kidwell, Kelley M. Seewald, Nicholas J. Gersch, Christina L. Desta, Zeruesenay Flockhart, David A Storniolo, Ana-Maria Stearns, Vered Skaar, Todd C Hayes, Daniel F Henry, N. Lynn Rae, James M. Pharmacogenomics J Article Discovery of clinical and genetic predictors of exemestane pharmacokinetics was attempted in 246 post-menopausal patients with breast cancer enrolled on a prospective clinical study. A sample was collected two hours after exemestane dosing at a 1 or 3 month study visit to measure drug concentration. The primary hypothesis was that patients carrying the low-activity CYP3A4*22 (rs35599367) SNP would have greater exemestane concentration. Additional SNPs in genes relevant to exemestane metabolism (CYP1A1/2, CYP1B1, CYP3A4, CYP4A11, AKR1C3/4, AKR7A2) were screened in secondary analyses and adjusted for clinical covariates. CYP3A4*22 was associated with a 54% increase in exemestane concentration (p<0.01). Concentration was greater in patients who reported White race, had elevated aminotransferases, renal insufficiency, lower body mass index, and had not received chemotherapy (all p<0.05), and CYP3A4*22 maintained significance after adjustment for covariates (p<0.01). These genetic and clinical predictors of exemestane concentration may be useful for treatment individualization in patients with breast cancer. 2016-08-23 2017-12 /pmc/articles/PMC5323433/ /pubmed/27549341 http://dx.doi.org/10.1038/tpj.2016.60 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Hertz, Daniel L. Kidwell, Kelley M. Seewald, Nicholas J. Gersch, Christina L. Desta, Zeruesenay Flockhart, David A Storniolo, Ana-Maria Stearns, Vered Skaar, Todd C Hayes, Daniel F Henry, N. Lynn Rae, James M. Polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in post-menopausal patients with breast cancer |
title | Polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in post-menopausal patients with breast cancer |
title_full | Polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in post-menopausal patients with breast cancer |
title_fullStr | Polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in post-menopausal patients with breast cancer |
title_full_unstemmed | Polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in post-menopausal patients with breast cancer |
title_short | Polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in post-menopausal patients with breast cancer |
title_sort | polymorphisms in drug-metabolizing enzymes and steady-state exemestane concentration in post-menopausal patients with breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323433/ https://www.ncbi.nlm.nih.gov/pubmed/27549341 http://dx.doi.org/10.1038/tpj.2016.60 |
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