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Man A, Groeneweg GSS, Ross CJD, Carleton BC. The Role of Pharmacogenomics in Rare Diseases. Drug Saf 2024; 47:521-528. [PMID: 38483768 DOI: 10.1007/s40264-024-01416-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/26/2024] [Indexed: 05/25/2024]
Abstract
Rare diseases have become an increasingly important public health priority due to their collective prevalence and often life-threatening nature. Incentive programs, such as the Orphan Drug Act have been introduced to increase the development of rare disease therapeutics. While the approval of these therapeutics requires supportive data from stringent pre-market studies, these data lack the ability to describe the causes of treatment response heterogeneity, leading to medications often being more harmful or less effective than predicted. If a Goal Line were to be used to describe the multifactorial continuum of phenotypic variations occurring in response to a medication, the 'Goal Posts', or the two defining points of this continuum, would be (1) Super-Response, or an extraordinary therapeutic effect; and (2) Serious Harm. Investigation of the pharmacogenomics behind these two extreme phenotypes can potentially lead to the development of new therapeutics, help inform rational use criteria in drug policy, and improve the understanding of underlying disease pathophysiology. In the context of rare diseases where cohort sizes are smaller than ideal, 'small data' and 'big data' approaches to data collection and analysis should be combined to produce the most robust results. This paper presents the importance of studying drug response in parallel to other research initiatives in rare diseases, as well as the need for international collaboration in the area of rare disease pharmacogenomics.
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Affiliation(s)
- Alice Man
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada
| | - Gabriella S S Groeneweg
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Pharmaceutical Outcomes Programme, British Columbia Children's Hospital, Vancouver, BC, Canada
| | - Colin J D Ross
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Bruce C Carleton
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada.
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
- Pharmaceutical Outcomes Programme, British Columbia Children's Hospital, Vancouver, BC, Canada.
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
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2
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Ahn SH, Park Y, Kim JH. Contradiction in Star-Allele Nomenclature of Pharmacogenes between Common Haplotypes and Rare Variants. Genes (Basel) 2024; 15:521. [PMID: 38674455 PMCID: PMC11050392 DOI: 10.3390/genes15040521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/18/2024] [Accepted: 04/19/2024] [Indexed: 04/28/2024] Open
Abstract
The nomenclature of star alleles has been widely used in pharmacogenomics to enhance treatment outcomes, predict drug response variability, and reduce adverse reactions. However, the discovery of numerous rare functional variants through genome sequencing introduces complexities into the star-allele system. This study aimed to assess the nature and impact of the rapid discovery of numerous rare functional variants in the traditional haplotype-based star-allele system. We developed a new method to construct haplogroups, representing a common ancestry structure, by iteratively excluding rare and functional variants of the 25 representative pharmacogenes using the 2504 genomes from the 1000 Genomes Project. In total, 192 haplogroups and 288 star alleles were identified, with an average of 7.68 ± 4.2 cross-ethnic haplogroups per gene. Most of the haplogroups (70.8%, 136/192) were highly aligned with their corresponding classical star alleles (VI = 1.86 ± 0.78), exhibiting higher genetic diversity than the star alleles. Approximately 41.3% (N = 119) of the star alleles in the 2504 genomes did not belong to any of the haplogroups, and most of them (91.3%, 105/116) were determined by a single variant according to the allele-definition table provided by CPIC. These functional single variants had low allele frequency (MAF < 1%), high evolutionary conservation, and variant deleteriousness, which suggests significant negative selection. It is suggested that the traditional haplotype-based naming system for pharmacogenetic star alleles now needs to be adjusted by balancing both traditional haplotyping and newly emerging variant-sequencing approaches to reduce naming complexity.
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Affiliation(s)
- Se Hwan Ahn
- Department of Biomedical Sciences, Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul 03080, Republic of Korea;
| | - Yoomi Park
- Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul 03080, Republic of Korea;
- Medical Research Center, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Ju Han Kim
- Department of Biomedical Sciences, Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul 03080, Republic of Korea;
- Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul 03080, Republic of Korea;
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3
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Pookmanee W, Thongthip S, Mungthin M, Sukasem C, Tankanitlert J, Chariyavilaskul P, Wittayalertpanya S. An increase in urinary primaquine and a reduction in urinary primaquine-5,6-orthoquinone in the Thai population with CYP2D6 reduced enzyme function. Heliyon 2024; 10:e24351. [PMID: 38293439 PMCID: PMC10827494 DOI: 10.1016/j.heliyon.2024.e24351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 09/27/2023] [Accepted: 01/08/2024] [Indexed: 02/01/2024] Open
Abstract
Objectives Primaquine is metabolized by the cytochrome P450-2D6 enzyme (CYP2D6) to an active primaquine-5,6-orthoquinone (POQ). No relationships of CYP2D6 polymorphisms with the pharmacokinetics of primaquine and POQ were reported in the Thai population. Methods We evaluated the genetic distribution of CYP2D6 in 345 Thai army populations together with the pharmacokinetic profiles of primaquine and POQ in plasma and urine (n = 44, descriptive data are presented in median (range)). All dose-related pharmacokinetic parameters were normalized by primaquine dose per body weight before statistical analysis. Results CYP2D6*10 was the allele observed with the highest frequency (56.62%) corresponding to CYP2D6*10/*10 (32.94%) and CYP2D6*1/*10 (27.94%) genotypes. CYP2D6 intermediate metabolizers (CYP2D6 IM) were found in 44.41% of the cohort and had an increase in the cumulative amount of primaquine excreted (CAE) in urine compared to normal metabolizers of CYP2D6 (CYP2D6 NM); (CYP2D6 IM vs. CYP2D6 NM: 2444 (1697-3564) vs. 1757 (1092-2185) μg/mg/kg, p = 0.039), a reduction in urine CAE of POQ (CYP2D6 IM vs CYP2D6 NM: 115 (46-297) vs. 318 (92-498) μg/mg/kg, p = 0.047) and a reduction in the POQ/primaquine CAE ratio in urine (CYP2D6 IM vs. CYP2D6 NM: 0.06 (0.01-0.11) vs. 0.16 (0.06-0.26), p = 0.009). No significant differences were found in the pharmacokinetic profiles of plasma primaquine and POQ. Conclusions The CYP2D6 polymorphisms influenced the changes in primaquine and POQ that were noticeable in the urine, supporting the role of the CYP2D6 gene testing before drug administration.
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Affiliation(s)
- Waritda Pookmanee
- Interdisciplinary Program in Pharmacology, Graduate School, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Medical Depot Division, Royal Thai Army Medical Department, Bangkok, Thailand
| | - Siriwan Thongthip
- Maha Chakri Sirindhorn Clinical Research Center under the Royal Patronage, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Mathirut Mungthin
- Department of Pharmacology, Phramongkutklao College of Medicine, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center, Ramathibodi Hospital, Bangkok, Thailand
- Pharmacogenomics and Precision Medicine, The Preventive Genomics & Family Check-up Services Center, Bumrungrad International Hospital, Bangkok, Thailand
| | | | - Pajaree Chariyavilaskul
- Center of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Pharmacology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Supeecha Wittayalertpanya
- Center of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Pharmacology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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4
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Flores-Hernandez DR, Leija Gutiérrez HM, Hernandez-Hernandez JA, Sánchez-Fernández JA, Bonilla-Rios J. Enhancing Solid-Phase Extraction of Tamoxifen and Its Metabolites from Human Plasma Using MOF-Integrated Polyacrylonitrile Composites: A Study on CuBTC and ZIF-8 Efficacy. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 14:73. [PMID: 38202528 PMCID: PMC10780427 DOI: 10.3390/nano14010073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/22/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024]
Abstract
This study investigates electrospun fibers of metal-organic frameworks (MOFs), particularly CuBTC and ZIF-8, in polyacrylonitrile (PAN) for the solid-phase extraction (SPE) of Tamoxifen (TAM) and its metabolites (NDTAM, ENDO, and 4OHT) from human blood plasma. The focus is on the isolation, pre-concentration, and extraction of the analytes, aiming to provide a more accessible and affordable breast cancer patient-monitoring technology. The unique physicochemical properties of MOFs, such as high porosity and surface area, combined with PAN's stability and low density, are leveraged to improve SPE efficiency. The study meticulously examines the interactions of these MOFs with the analytes under various conditions, including elution solvents and protein precipitators. Results reveal that ZIF-8/PAN composites outperform CuBTC/PAN and PAN alone, especially when methanol is used as the protein precipitator. This superior performance is attributed to the physicochemical compatibility between the analytes' properties, like solubility and polarity, and the MOFs' structural features, including pore flexibility, active site availability, surface polarity, and surface area. The findings underscore MOFs' potential in SPE applications and provide valuable insights into the selectivity and sensitivity of different MOFs towards specific analytes, advancing more efficient targeted extraction methods in biomedical analysis.
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Affiliation(s)
- Domingo R. Flores-Hernandez
- Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico;
| | - Héctor Manuel Leija Gutiérrez
- Universidad Autónoma de Nuevo Leon, CICFM-FCFM. Av. Universidad S/N, Ciudad Universitaria, San Nicolas de los Garza 66451, Mexico;
| | | | - José Antonio Sánchez-Fernández
- Procesos de Polimerización, Centro de Investigación en Química Aplicada, Blvd. Enrique Reyna No. 140, Saltillo 25294, Mexico
| | - Jaime Bonilla-Rios
- Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico;
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5
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Tayeh MK, Gaedigk A, Goetz MP, Klein TE, Lyon E, McMillin GA, Rentas S, Shinawi M, Pratt VM, Scott SA. Clinical pharmacogenomic testing and reporting: A technical standard of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2022; 24:759-768. [PMID: 35177334 DOI: 10.1016/j.gim.2021.12.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 12/16/2021] [Indexed: 12/14/2022] Open
Abstract
Pharmacogenomic testing interrogates germline sequence variants implicated in interindividual drug response variability to infer a drug response phenotype and to guide medication management for certain drugs. Specifically, discrete aspects of pharmacokinetics, such as drug metabolism, and pharmacodynamics, as well as drug sensitivity, can be predicted by genes that code for proteins involved in these pathways. Pharmacogenomics is unique and differs from inherited disease genetics because the drug response phenotype can be drug-dependent and is often unrecognized until an unexpected drug reaction occurs or a patient fails to respond to a medication. Genes and variants with sufficiently high levels of evidence and consensus may be included in a clinical pharmacogenomic test; however, result interpretation and phenotype prediction can be challenging for some genes and medications. This document provides a resource for laboratories to develop and implement clinical pharmacogenomic testing by summarizing publicly available resources and detailing best practices for pharmacogenomic nomenclature, testing, result interpretation, and reporting.
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Affiliation(s)
- Marwan K Tayeh
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, MO; Department of Pediatrics, UMKC School of Medicine, University of Missouri-Kansas City, Kansas City, MO
| | - Matthew P Goetz
- Department of Pharmacology and Oncology, Mayo Clinic, Rochester, MN
| | - Teri E Klein
- Department of Biomedical Data Science and Department of Medicine, Stanford University, Stanford, CA
| | - Elaine Lyon
- HudsonAlpha Institute for Biotechnology, Huntsville, AL
| | | | - Stefan Rentas
- Department of Pathology, Duke University School of Medicine, Durham, NC
| | - Marwan Shinawi
- Division of Genetics & Genomic Medicine, Department of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Victoria M Pratt
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Stuart A Scott
- Department of Pathology, Stanford University, Stanford, CA; Clinical Genomics Laboratory, Stanford Health Care, Palo Alto, CA
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Pratt VM, Cavallari LH, Del Tredici AL, Gaedigk A, Hachad H, Ji Y, Kalman LV, Ly RC, Moyer AM, Scott SA, van Schaik RHN, Whirl-Carrillo M, Weck KE. Recommendations for Clinical CYP2D6 Genotyping Allele Selection: A Joint Consensus Recommendation of the Association for Molecular Pathology, College of American Pathologists, Dutch Pharmacogenetics Working Group of the Royal Dutch Pharmacists Association, and the European Society for Pharmacogenomics and Personalized Therapy. J Mol Diagn 2021; 23:1047-1064. [PMID: 34118403 DOI: 10.1016/j.jmoldx.2021.05.013] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/11/2021] [Accepted: 05/25/2021] [Indexed: 01/14/2023] Open
Abstract
The goals of the Association for Molecular Pathology Clinical Practice Committee's Pharmacogenomics (PGx) Working Group are to define the key attributes of pharmacogenetic alleles recommended for clinical testing, and to determine a minimal set of variants that should be included in clinical PGx genotyping assays. This document series provides recommendations on a minimal panel of variant alleles (Tier 1) and an extended panel of variant alleles (Tier 2) that will aid clinical laboratories in designing assays for PGx testing. When developing these recommendations, the Association for Molecular Pathology PGx Working Group considered the functional impact of the variant alleles, allele frequencies in multiethnic populations, the availability of reference materials, as well as other technical considerations with regard to PGx testing. The ultimate goal of this Working Group is to promote standardization of PGx gene/allele testing across clinical laboratories. This document is focused on clinical CYP2D6 PGx testing that may be applied to all cytochrome P450 2D6-metabolized medications. These recommendations are not meant to be interpreted as prescriptive but to provide a reference guide for clinical laboratories that may be either implementing PGx testing or reviewing and updating their existing platform.
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Affiliation(s)
- Victoria M Pratt
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
| | - Larisa H Cavallari
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida
| | - Andria L Del Tredici
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Millennium Health, LLC, San Diego, California
| | - Andrea Gaedigk
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy Kansas City, and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri
| | - Houda Hachad
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; private precision medicine consultancy, Seattle, Washington
| | - Yuan Ji
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology and ARUP Laboratories, University of Utah School of Medicine, Salt Lake City, Utah
| | - Lisa V Kalman
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Division of Laboratory Systems, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Reynold C Ly
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Ann M Moyer
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Stuart A Scott
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology, Stanford University, Stanford, California; Clinical Genomics Program, Stanford Health Care, Palo Alto, California
| | - R H N van Schaik
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Clinical Chemistry/IFCC Expert center Pharmacogenetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands; European Society of Pharmacogenomics and Personalized Therapy
| | - Michelle Whirl-Carrillo
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Biomedical Data Science, Stanford University, Stanford, California
| | - Karen E Weck
- The Pharmacogenomics Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology and Laboratory Medicine and Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
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7
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Loudon E, Scott SA, Rigobello R, Scott ER, Zinberg R, Naik H. Pharmacogenomic education among genetic counseling training programs in North America. J Genet Couns 2021; 30:1500-1508. [PMID: 33882174 DOI: 10.1002/jgc4.1417] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 02/22/2021] [Accepted: 02/25/2021] [Indexed: 11/06/2022]
Abstract
The increasing number of genetic counselors participating directly in clinical pharmacogenomic post-test counseling prompted our evaluation of pharmacogenomic education across genetic counseling training programs in North America. Thirty-one program leadership participants from both the United States (U.S.) and Canada responded to a survey assessing pharmacogenomics education and the role of genetic counselors. Eighty-five percent of respondents agreed pharmacogenomics is currently within the scope of genetic counseling practice, and 96.3% indicated their training programs currently provide education on pharmacogenomics, with the majority reporting < 7 hr of education. Lectures on pharmacogenomics were the most common method for didactics; however, some programs also included practical modalities (e.g., case studies, clinical rotations) and online resources. Barriers to expanding pharmacogenomic education included the constrained timeline of training, and lack of resources and local expertise. Moreover, participants suggested that genetic counselors ideally should be able to order pharmacogenomic tests and counsel patients on pharmacogenomics, including result interpretation, as they believe pharmacogenomics does fall within the scope of practice of genetic counseling. Our novel results also confirm that training program leadership support a pharmacogenomic service delivery model that includes a combined effort between genetic counselors and pharmacists to utilize their synergistic expertise. However, this model likely still necessitates expanding pharmacogenomic didactics in genetic counseling training programs through more practical training and/or by leveraging online pharmacogenomic courses dedicated to supporting clinical implementation.
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Affiliation(s)
- Elizabeth Loudon
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stuart A Scott
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Sema4, Stamford, CT, USA.,Clinical Genomics Laboratory, Stanford Health Care, Palo Alto, CA, USA
| | | | - Erick R Scott
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Randi Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hetanshi Naik
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Hongkaew Y, Gaedigk A, Wilffert B, Ngamsamut N, Kittitharaphan W, Limsila P, Sukasem C. Relationship between CYP2D6 genotype, activity score and phenotype in a pediatric Thai population treated with risperidone. Sci Rep 2021; 11:4158. [PMID: 33603025 PMCID: PMC7892547 DOI: 10.1038/s41598-021-83570-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 02/04/2021] [Indexed: 12/29/2022] Open
Abstract
Recently, the Clinical Pharmacogenetics Implementation Consortium (CPIC) have revised recommendations for the translation of CYP2D6 genotype to phenotype. Changes affect phenotype grouping, as well as the value used to calculate activity score for the CYP2D6*10 allele to better reflect the substantially decreased activity of this allele which is the most frequent allele found in Asian populations. This study aimed to evaluate whether the lower value for CYP2D6*10 as recommended, and the revised phenotype groupings improve the relationship between CYP2D6 genotype and risperidone measures. One hundred and ninety-nine children and adolescents with autism treated with a risperidone-based regimen for at least four weeks were included. CYP2D6 genotype was determined using the Luminex xTAG CYP2D6 Kit assay and translated into phenotype using different translation methods. Plasma concentrations of risperidone and 9-hydroxyrisperidone were measured using LC/MS/MS. Plasma levels of risperidone, risperidone concentration/dose ratio, and risperidone/9-hydroxyrisperidone ratio in patients with an activity score < 1 were significantly higher than those ≥ 1 (P value < 0.001 for all three parameters). Plasma risperidone levels and risperidone concentration/dose ratios were significantly higher in intermediate metabolizers (defined as AS = 0.25–0.75) than normal metabolizer (defined as AS = 1–2) patients (1.44 vs. 0.23 ng/ml, P < 0.001 and 1.63 vs. 0.29 ng/ml/ng, P < 0.001, respectively) as well as risperidone/9-hydroxyrisperidone ratio (0.20 vs. 0.04, P < 0.001). This is the first study in an Asian population utilizing the revised CPIC-recommended method for translating the CYP2D6 genotype to phenotype. In addition to validating that CYP2D6 genetic variation significantly impacts risperidone metabolism, we demonstrated that revised value for the CYP2D6*10 was superior for genotype to phenotype translation. However, at least for risperidone, subjects with an activity score of 1 presented as phenotypic normal, and not intermediate metabolizers, suggesting that phenotype classification is substrate dependent.
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Affiliation(s)
- Yaowaluck Hongkaew
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand.,Advanced Research and Development Laboratory, Bumrungrad International Hospital, Bangkok, Thailand
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, MO, USA.,School of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Bob Wilffert
- Unit of PharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.,Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nattawat Ngamsamut
- Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Department of Mental Health Services, Ministry of Public Health, Samut Prakan, Thailand
| | - Wiranpat Kittitharaphan
- Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Department of Mental Health Services, Ministry of Public Health, Samut Prakan, Thailand
| | - Penkhae Limsila
- Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Department of Mental Health Services, Ministry of Public Health, Samut Prakan, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand. .,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand.
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9
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Hlaváč V, Holý P, Souček P. Pharmacogenomics to Predict Tumor Therapy Response: A Focus on ATP-Binding Cassette Transporters and Cytochromes P450. J Pers Med 2020; 10:jpm10030108. [PMID: 32872162 PMCID: PMC7565825 DOI: 10.3390/jpm10030108] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/21/2020] [Accepted: 08/26/2020] [Indexed: 02/06/2023] Open
Abstract
Pharmacogenomics is an evolving tool of precision medicine. Recently, due to the introduction of next-generation sequencing and projects generating "Big Data", a plethora of new genetic variants in pharmacogenes have been discovered. Cancer resistance is a major complication often preventing successful anticancer treatments. Pharmacogenomics of both somatic mutations in tumor cells and germline variants may help optimize targeted treatments and improve the response to conventional oncological therapy. In addition, integrative approaches combining copy number variations and long noncoding RNA profiling with germline and somatic variations seem to be a promising approach as well. In pharmacology, expression and enzyme activity are traditionally the more studied aspects of ATP-binding cassette transporters and cytochromes P450. In this review, we briefly introduce the field of pharmacogenomics and the advancements driven by next-generation sequencing and outline the possible roles of genetic variation in the two large pharmacogene superfamilies. Although the evidence needs further substantiation, somatic and copy number variants as well as rare variants and common polymorphisms in these genes could all affect response to cancer therapy. Regulation by long noncoding RNAs has also been shown to play a role. However, in all these areas, more comprehensive studies on larger sets of patients are needed.
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Affiliation(s)
- Viktor Hlaváč
- Toxicogenomics Unit, National Institute of Public Health, 100 00 Prague, Czech Republic; (P.H.); (P.S.)
- Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 306 05 Pilsen, Czech Republic
- Correspondence: ; Tel.: +420-267082681; Fax: +420-267311236
| | - Petr Holý
- Toxicogenomics Unit, National Institute of Public Health, 100 00 Prague, Czech Republic; (P.H.); (P.S.)
- Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 306 05 Pilsen, Czech Republic
- Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
| | - Pavel Souček
- Toxicogenomics Unit, National Institute of Public Health, 100 00 Prague, Czech Republic; (P.H.); (P.S.)
- Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 306 05 Pilsen, Czech Republic
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10
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Scott SA, Scott ER, Seki Y, Chen AJ, Wallsten R, Owusu Obeng A, Botton MR, Cody N, Shi H, Zhao G, Brake P, Nicoletti P, Yang Y, Delio M, Shi L, Kornreich R, Schadt EE, Edelmann L. Development and Analytical Validation of a 29 Gene Clinical Pharmacogenetic Genotyping Panel: Multi-Ethnic Allele and Copy Number Variant Detection. Clin Transl Sci 2020; 14:204-213. [PMID: 32931151 PMCID: PMC7877843 DOI: 10.1111/cts.12844] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 06/16/2020] [Indexed: 12/12/2022] Open
Abstract
To develop a novel pharmacogenetic genotyping panel, a multidisciplinary team evaluated available evidence and selected 29 genes implicated in interindividual drug response variability, including 130 sequence variants and additional copy number variants (CNVs). Of the 29 genes, 11 had guidelines published by the Clinical Pharmacogenetics Implementation Consortium. Targeted genotyping and CNV interrogation were accomplished by multiplex single‐base extension using the MassARRAY platform (Agena Biosciences) and multiplex ligation‐dependent probe amplification (MRC Holland), respectively. Analytical validation of the panel was accomplished by a strategic combination of > 500 independent tests performed on 170 unique reference material DNA samples, which included sequence variant and CNV accuracy, reproducibility, and specimen (blood, saliva, and buccal swab) controls. Among the accuracy controls were 32 samples from the 1000 Genomes Project that were selected based on their enrichment of sequence variants included in the pharmacogenetic panel (VarCover.org). Coupled with publicly available samples from the Genetic Testing Reference Materials Coordination Program (GeT‐RM), accuracy validation material was available for the majority (77%) of interrogated sequence variants (100% with average allele frequencies > 0.1%), as well as additional structural alleles with unique copy number signatures (e.g., CYP2D6*5, *13, *36, *68; CYP2B6*29; and CYP2C19*36). Accuracy and reproducibility for both genotyping and copy number were > 99.9%, indicating that the optimized panel platforms were precise and robust. Importantly, multi‐ethnic allele frequencies of the interrogated variants indicate that the vast majority of the general population carries at least one of these clinically relevant pharmacogenetic variants, supporting the implementation of this panel for pharmacogenetic research and/or clinical implementation programs.
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Affiliation(s)
- Stuart A Scott
- Sema4, Stamford, Connecticut, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erick R Scott
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | - Aniwaa Owusu Obeng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mariana R Botton
- Sema4, Stamford, Connecticut, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Neal Cody
- Sema4, Stamford, Connecticut, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | - Paola Nicoletti
- Sema4, Stamford, Connecticut, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yao Yang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Lisong Shi
- Sema4, Stamford, Connecticut, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ruth Kornreich
- Sema4, Stamford, Connecticut, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Eric E Schadt
- Sema4, Stamford, Connecticut, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lisa Edelmann
- Sema4, Stamford, Connecticut, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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11
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CYP2D6-inhibiting medication use and inherited CYP2D6 variation in relation to adverse breast cancer outcomes after tamoxifen therapy. Cancer Causes Control 2018; 30:103-112. [PMID: 30542984 DOI: 10.1007/s10552-018-1117-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 12/04/2018] [Indexed: 12/11/2022]
Abstract
PURPOSE Tamoxifen is widely used to reduce the risk of breast cancer (BC) recurrence and extend disease-free survival among women with estrogen-sensitive breast cancers. Tamoxifen efficacy is thought to be attributable to its active metabolite, which is formed through a reaction catalyzed by the P450 enzyme, CYP2D6. Inhibition of tamoxifen metabolism as a result of germline genetic variation and/or use of CYP2D6-inhibiting medications ("inhibitors") is hypothesized to increase the risk of adverse BC outcomes among women taking tamoxifen. METHODS The present cohort study of 960 women diagnosed with early-stage BC between 1993 and 1999 examined the association between concomitant use of CYP2D6 inhibitors and adjuvant tamoxifen and the risk of adverse BC outcomes (recurrence, second primary BC, BC mortality), both overall and according to CYP2D6 metabolic phenotype. RESULTS Six or more months of CYP2D6 inhibitor use concomitant with tamoxifen was not associated with any appreciable increase in risk of recurrence or second primary BC or BC mortality, and there was no clear evidence of variation by CYP2D6 metabolic phenotype. CONCLUSIONS These results are consistent with the relatively few other large, population-based studies conducted to date that have not observed an increased risk of adverse BC outcomes associated with CYP2D6 inhibition.
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12
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Brooks JD, Comen EA, Reiner AS, Orlow I, Leong SF, Liang X, Mellemkjær L, Knight JA, Lynch CF, John EM, Bernstein L, Woods M, Doody DR, Malone KE, Bernstein JL. CYP2D6 phenotype, tamoxifen, and risk of contralateral breast cancer in the WECARE Study. Breast Cancer Res 2018; 20:149. [PMID: 30526633 PMCID: PMC6288916 DOI: 10.1186/s13058-018-1083-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 11/19/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Tamoxifen treatment greatly reduces a woman's risk of developing a second primary breast cancer. There is, however, substantial variability in treatment response, some of which may be attributed to germline genetic variation. CYP2D6 is a key enzyme in the metabolism of tamoxifen to its active metabolites, and variants in this gene have been associated with reduced tamoxifen metabolism. The impact of variation on risk of contralateral breast cancer (CBC) is unknown. METHODS Germline DNA from 1514 CBC cases and 2203 unilateral breast cancer controls was genotyped for seven single nucleotide polymorphisms, one three-nucleotide insertion-deletion, and a full gene deletion. Each variant has an expected impact on enzyme activity, which in combination allows for the classification of women as extensive, intermediate, and poor metabolizers (EM, IM, and PM respectively). Each woman was assigned one of six possible diplotypes and a corresponding CYP2D6 activity score (AS): EM/EM (AS = 2), EM/IM (AS = 1.5), EM/PM (AS = 1), IM/IM (AS = 0.75), IM/PM (AS = 0.5), and PM/PM (AS = 0). We also collapsed categories of the AS to generate an overall phenotype (EM, AS ≥ 1; IM, AS = 0.5-0.75; PM, AS = 0). Rate ratios (RRs) and 95% confidence intervals (CIs) for the association between tamoxifen treatment and risk of CBC in our study population were estimated using conditional logistic regression, stratified by AS. RESULTS Among women with AS ≥ 1 (i.e., EM), tamoxifen treatment was associated with a 20-55% reduced RR of CBC (AS = 2, RR = - 0.81, 95% CI 0.62-1.06; AS = 1.5, RR = 0.45, 95% CI 0.30-0.68; and AS = 1, RR = 0.55, 95% CI 0.40-0.74). Among women with no EM alleles and at least one PM allele (i.e., IM and PM), tamoxifen did not appear to impact the RR of CBC in this population (AS = 0.5, RR = 1.08, 95% CI 0.59-1.96; and AS = 0, RR = 1.17, 95% CI 0.58-2.35) (p for homogeneity = - 0.02). CONCLUSION This study suggests that the CYP2D6 phenotype may contribute to some of the observed variability in the impact of tamoxifen treatment for a first breast cancer on risk of developing CBC.
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Affiliation(s)
- Jennifer D. Brooks
- University of Toronto, Dalla Lana School of Public Health Sciences, 155 College St. HSB 676, Toronto, ON M5T 3M7 Canada
| | | | - Anne S. Reiner
- Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Irene Orlow
- Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Siok F. Leong
- Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Xiaolin Liang
- Memorial Sloan Kettering Cancer Center, New York, NY USA
| | | | - Julia A. Knight
- University of Toronto, Dalla Lana School of Public Health Sciences, 155 College St. HSB 676, Toronto, ON M5T 3M7 Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | | | - Esther M. John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA USA
| | - Leslie Bernstein
- Beckman Research Institute, City of Hope National Medical Centre, Duarte, CA USA
| | - Meghan Woods
- Memorial Sloan Kettering Cancer Center, New York, NY USA
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13
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Chan W, Li MS, Sundaram SK, Tomlinson B, Cheung PY, Tzang CH. CYP2D6 allele frequencies, copy number variants, and tandems in the population of Hong Kong. J Clin Lab Anal 2018; 33:e22634. [PMID: 30069923 DOI: 10.1002/jcla.22634] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 07/05/2018] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND CYP2D6 plays a crucial role in drug metabolism of several drugs. It is known to be highly polymorphic with enzymatic activity ranging from poor to ultrarapid metabolic rates. While the frequencies of CYP2D6 alleles are generally known in different Asian populations, data on frequencies of the copy number variations (CNV) and tandems in CYP2D6 in which they occur are less well studied in these populations. METHODS A cohort of 800 consecutive, unrelated individuals were referred to Prenetics Limited (Prenetics) iGenes test by physicians in Hong Kong as part of their care with informed consent. These clinical samples were deidentified prior to further analysis. Genotyping and copy number determination of CYP2D6 were performed using target specific TaqMan® SNP genotyping and copy number assays. The phenotypes of CYP2D6 were predicted based on its genotypes and is dependent on the biallelic expression of alleles. RESULTS Among the Asian group (n = 735, 92%), the observed frequency of CYP2D6*36-*10 tandems was 34.1%. We also identified duplication of CYP2D6 alleles in 86 (11.7%) individuals of the study cohort. The frequency of all CYP2D6 duplicated alleles was 154 (10.5%) while only 28 (1.9%) of the duplications were of functional alleles (ie CYP2D6*1 and CYP2D6*2). CONCLUSION The present study provides a comprehensive analysis on the occurrences of CNV and tandems of the CYP2D6 gene in the Hong Kong population. The results contribute to the overall knowledge of pharmacogenomics and may accelerate the implementation of precision medicine in Asia.
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Affiliation(s)
- Wing Chan
- Prenetics Limited, Hong Kong City, Hong Kong
| | - Man S Li
- Prenetics Limited, Hong Kong City, Hong Kong
| | | | - Brian Tomlinson
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong City, Hong Kong
| | | | - Chi H Tzang
- Prenetics Limited, Hong Kong City, Hong Kong
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14
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Ji Y, Si Y, McMillin GA, Lyon E. Clinical pharmacogenomics testing in the era of next generation sequencing: challenges and opportunities for precision medicine. Expert Rev Mol Diagn 2018; 18:411-421. [PMID: 29634383 DOI: 10.1080/14737159.2018.1461561] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
INTRODUCTION The rapid development and dramatic decrease in cost of sequencing techniques have ushered the implementation of genomic testing in patient care. Next generation DNA sequencing (NGS) techniques have been used increasingly in clinical laboratories to scan the whole or part of the human genome in order to facilitate diagnosis and/or prognostics of genetic disease. Despite many hurdles and debates, pharmacogenomics (PGx) is believed to be an area of genomic medicine where precision medicine could have immediate impact in the near future. Areas covered: This review focuses on lessons learned through early attempts of clinically implementing PGx testing; the challenges and opportunities that PGx testing brings to precision medicine in the era of NGS. Expert commentary: Replacing targeted analysis approach with NGS for PGx testing is neither technically feasible nor necessary currently due to several technical limitations and uncertainty involved in interpreting variants of uncertain significance for PGx variants. However, reporting PGx variants out of clinical whole exome or whole genome sequencing (WES/WGS) might represent additional benefits for patients who are tested by WES/WGS.
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Affiliation(s)
- Yuan Ji
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
| | - Yue Si
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
| | - Gwendolyn A McMillin
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
| | - Elaine Lyon
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
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15
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Del Tredici AL, Malhotra A, Dedek M, Espin F, Roach D, Zhu GD, Voland J, Moreno TA. Frequency of CYP2D6 Alleles Including Structural Variants in the United States. Front Pharmacol 2018; 9:305. [PMID: 29674966 PMCID: PMC5895772 DOI: 10.3389/fphar.2018.00305] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 03/15/2018] [Indexed: 01/01/2023] Open
Abstract
The CYP2D6 gene encodes an enzyme important in the metabolism of many commonly used medications. Variation in CYP2D6 is associated with inter-individual differences in medication response, and genetic testing is used to optimize medication therapy. This report describes a retrospective study of CYP2D6 allele frequencies in a large population of 104,509 de-identified patient samples across all regions of the United States (US). Thirty-seven unique CYP2D6 alleles including structural variants were identified. A majority of these alleles had frequencies which matched published frequency data from smaller studies, while eight had no previously published frequencies. Importantly, CYP2D6 structural variants were observed in 13.1% of individuals and accounted for 7% of the total variants observed. The majority of structural variants detected (73%) were decreased-function or no-function alleles. As such, structural variants were found in approximately one-third (30%) of CYP2D6 poor metabolizers in this study. This is the first CYP2D6 study to evaluate, with a consistent methodology, both structural variants and single copy alleles in a large US population, and the results suggest that structural variants have a substantial impact on CYP2D6 function.
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Affiliation(s)
| | - Alka Malhotra
- Millennium Health, LLC, San Diego, CA, United States
| | - Matthew Dedek
- Millennium Health, LLC, San Diego, CA, United States
| | - Frank Espin
- Millennium Health, LLC, San Diego, CA, United States
| | - Dan Roach
- Millennium Health, LLC, San Diego, CA, United States
| | - Guang-Dan Zhu
- Millennium Health, LLC, San Diego, CA, United States
| | - Joseph Voland
- Millennium Health, LLC, San Diego, CA, United States
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16
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Yang Y, Botton MR, Scott ER, Scott SA. Sequencing the CYP2D6 gene: from variant allele discovery to clinical pharmacogenetic testing. Pharmacogenomics 2017; 18:673-685. [PMID: 28470112 DOI: 10.2217/pgs-2017-0033] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
CYP2D6 is one of the most studied enzymes in the field of pharmacogenetics. The CYP2D6 gene is highly polymorphic with over 100 catalogued star (*) alleles, and clinical CYP2D6 testing is increasingly accessible and supported by practice guidelines. However, the degree of variation at the CYP2D6 locus and homology with its pseudogenes make interrogating CYP2D6 by short-read sequencing challenging. Moreover, accurate prediction of CYP2D6 metabolizer status necessitates analysis of duplicated alleles when an increased copy number is detected. These challenges have recently been overcome by long-read CYP2D6 sequencing; however, such platforms are not widely available. This review highlights the genomic complexities of CYP2D6, current sequencing methods and the evolution of CYP2D6 from allele discovery to clinical pharmacogenetic testing.
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Affiliation(s)
- Yao Yang
- Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Icahn Institute for Genomics & Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mariana R Botton
- Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Erick R Scott
- Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Icahn Institute for Genomics & Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Stuart A Scott
- Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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17
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Charoenchokthavee W, Panomvana D, Sriuranpong V, Areepium N. Prevalence of CYP2D6*2, CYP2D6*4, CYP2D6*10, and CYP3A5*3 in Thai breast cancer patients undergoing tamoxifen treatment. BREAST CANCER-TARGETS AND THERAPY 2016; 8:149-55. [PMID: 27540311 PMCID: PMC4982506 DOI: 10.2147/bctt.s105563] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background Tamoxifen (TAM) is used in breast cancer treatment, but interindividual variabilities in TAM-metabolizing enzymes exist and have been linked to single nucleotide polymorphisms in the respective encoding genes. The different alleles and genotypes of these genes have been presented for Caucasians and Asians. This study aimed to explore the prevalence of the incomplete functional alleles and genotypes of the CYP2D6 and CYP3A5 genes in Thai breast cancer patients undergoing TAM treatment. Patients and methods In total, 134 Thai breast cancer patients were randomly invited to join the Thai Tamoxifen Project. Their blood samples were collected and extracted for individual DNA. The alleles and genotypes were determined by real-time polymerase chain reaction with TaqMan® Drug Metabolism Genotyping Assays. Results The patients were aged from 27.0 years to 82.0 years with a body mass index range from 15.4 to 40.0, with the majority (103/134) in the early stage (stages 0–II) of breast cancer. The median duration of TAM administration was 17.2 months (interquartile range 16.1 months). Most (53%) of the patients were premenopausal with an estrogen receptor (ER) and progesterone receptor (PR) status of ER+/PR+ (71.7%), ER+/PR− (26.9%), ER−/PR+ (0.7%), and ER−/PR− (0.7%). The allele frequencies of CYP2D6*1, CYP2D6*2, CYP2D6*4, CYP2D6*10, CYP3A5*1, and CYP3A5*3 were 72.9%, 3.2%, 1.1%, 22.8%, 37.3%, and 62.7%, respectively, while the genotype frequencies of CYP2D6*1/*1, CYP2D6*1/*2, CYP2D6*2/*2, CYP2D6*4/*4, CYP2D6*1/*10, CYP2D6*2/*10, CYP2D6*4/*10, CYP2D6*10/*10, CYP3A5*1/*1, CYP3A5*1/*3, and CYP3A5*3/*3 were 9.7%, 2.2%, 3.7%, 1.5%, 15.7%, 9.7%, 3.7%, 53.7%, 13.4%, 47.8%, and 38.8%, respectively. Conclusion The majority (97.8%) of Thai breast cancer patients undergoing TAM treatment carry at least one incomplete functional allele, including 20.9% of the patients who carry only incomplete functional alleles for both the CYP2D6 and CYP3A5 genes. This research indicates the high prevalence of these defective alleles that are involved in TAM-metabolic pathways that might further affect TAM treatment.
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Affiliation(s)
| | | | - Virote Sriuranpong
- Medical Oncology Unit, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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18
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Tré-Hardy M, Capron A, Antunes MV, Linden R, Wallemacq P. Fast method for simultaneous quantification of tamoxifen and metabolites in dried blood spots using an entry level LC-MS/MS system. Clin Biochem 2016; 49:1295-1298. [PMID: 27498307 DOI: 10.1016/j.clinbiochem.2016.07.018] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 07/27/2016] [Accepted: 07/28/2016] [Indexed: 01/14/2023]
Abstract
The purpose of this study was to develop and validate a new liquid chromatography-tandem mass spectrometric (LC-MSMS) assay for the simultaneous quantification of tamoxifen (TAM) and its main therapeutically active metabolites, N-desmethyltamoxifen (NDT), 4-hydroxytamoxifen (4HT) and endoxifen (END) in dried blood spots. Ultrasound assisted methanolic extraction was used for TAM and metabolites extraction from dried blood spot. After evaporation and methanol reconstitution, the extract was injected into a LC-MSMS system. Reversed phase chromatography was performed on a C18 grafted column in gradient mode. TAM, metabolites, and internal standard (diazepam-d5; IS) were identified in positive electrospray ionization mode using m/z transition of 372.5>72.1 (TAM); 374.23>58.10 (END); 358.27>58.10 (NDT); 388.23>44.80 (4HT) and 290.00>198.00 (IS). Total analytical run time was 6.5min. Assay was linear from 1 to 500ng/mL for all substances and presented intra and inter-assay precision and accuracy <15%. TAM, NDT, 4HT and END limits of quantification and detection were of 1 and 0.5ng/mL; 1 and 3ng/mL; 1.7 and 3ng/mL; 0.6 and 2ng/mL, respectively. Recovery ranged from 83.8 to 96.3% with matrix effect ranged from 4.3 to 29.8% for TAM and its metabolites. Hematocrit value ≤40% appeared to negatively influence accuracy of the method. In conclusion, the method described here is somewhat accessible, relatively fast, sensitive and selective with no interference. This assay might be used to investigate the level of TAM and its metabolites in DBS for therapeutic drug monitoring purposes.
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Affiliation(s)
- Marie Tré-Hardy
- Clinical Chemistry Department, Cliniques universitaires St Luc, Brussels, Belgium
| | - Arnaud Capron
- Clinical Chemistry Department, Cliniques universitaires St Luc, Brussels, Belgium; Louvain Center for Toxicology and Applied Pharmacology, Université catholique de Louvain, UCL, Brussels, Belgium
| | | | - Rafael Linden
- Instituto de Ciências da Saúde, Universidade Feevale, Novo Hamburgo, RS, Brazil
| | - Pierre Wallemacq
- Clinical Chemistry Department, Cliniques universitaires St Luc, Brussels, Belgium
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19
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O'Brien TJ, LeLacheur S, Ward C, Lee NH, Callier S, Harralson AF. Impact of a personal CYP2D6 testing workshop on physician assistant student attitudes toward pharmacogenetics. Pharmacogenomics 2016; 17:341-52. [PMID: 26907849 DOI: 10.2217/pgs.15.182] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
AIM We assessed the impact of personal CYP2D6 testing on physician assistant student competency in, and attitudes toward, pharmacogenetics (PGx). MATERIALS & METHODS Buccal samples were genotyped for CYP2D6 polymorphisms. Results were discussed during a 3-h PGx workshop. PGx knowledge was assessed by pre- and post-tests. Focus groups assessed the impact of the workshop on attitudes toward the clinical utility of PGx. RESULTS Both student knowledge of PGx, and its perceived clinical utility, increased immediately following the workshop. However, exposure to PGx on clinical rotations following the workshop seemed to influence student attitudes toward PGx utility. CONCLUSION Personal CYP2D6 testing improves both knowledge and comfort with PGx. Continued exposure to PGx concepts is important for transfer of learning.
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Affiliation(s)
- Travis J O'Brien
- Department of Pharmacology & Physiology, The George Washington University School of Medicine & Health Sciences, Washington, DC 20037, USA
| | - Susan LeLacheur
- Department of Physician Assistant Studies, The George Washington University School of Medicine & Health Sciences, Washington, DC 20037, USA
| | - Caitlin Ward
- Department of Physician Assistant Studies, The George Washington University School of Medicine & Health Sciences, Washington, DC 20037, USA
| | - Norman H Lee
- Department of Pharmacology & Physiology, The George Washington University School of Medicine & Health Sciences, Washington, DC 20037, USA
| | - Shawneequa Callier
- Department of Clinical Research & Leadership, The George Washington University School of Medicine & Health Sciences, Washington, DC 20037, USA
| | - Arthur F Harralson
- Department of Pharmacogenomics, Bernard J Dunn School of Pharmacy, Shenandoah University, Ashburn, VA 22601, USA
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20
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Chang MT, McCarthy JJ, Shin J. Clinical application of pharmacogenetics: focusing on practical issues. Pharmacogenomics 2015; 16:1733-41. [PMID: 26411302 DOI: 10.2217/pgs.15.112] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Recent large-scale genetic-based studies have transformed the field of pharmacogenetics to identify, characterize and leverage genetic information to inform patient care. Genetic testing can be used to alter drug selection, optimize drug dosing and prevent unnecessary adverse events. As precision medicine becomes the mainstay in the clinic, it becomes critical for clinicians to utilize pharmacogenetics to guide patient care. One primary challenge is identifying patients where genetic tests that can potentially impact patient care. To address this challenge, our review highlights many practical issues clinicians may encounter: identifying candidate patients and clinical laboratories for pharmacogenetic testing, selecting highly curated resources to help asses test validity, reimbursing costs of pharmacogenetic tests, and interpreting of pharmacogenetic test results.
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Affiliation(s)
- Matthew T Chang
- Departments of Bioengineering & Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Jeanette J McCarthy
- Division of Medical Genetics, University of California, San Francisco, CA, USA.,Department of Community & Family Medicine, Duke University, Durham, NC, USA
| | - Jaekyu Shin
- Department of Clinical Pharmacy, University of California, San Francisco, CA, USA
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21
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Abul-Husn NS, Owusu Obeng A, Sanderson SC, Gottesman O, Scott SA. Implementation and utilization of genetic testing in personalized medicine. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2014; 7:227-40. [PMID: 25206309 PMCID: PMC4157398 DOI: 10.2147/pgpm.s48887] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Clinical genetic testing began over 30 years ago with the availability of mutation detection for sickle cell disease diagnosis. Since then, the field has dramatically transformed to include gene sequencing, high-throughput targeted genotyping, prenatal mutation detection, preimplantation genetic diagnosis, population-based carrier screening, and now genome-wide analyses using microarrays and next-generation sequencing. Despite these significant advances in molecular technologies and testing capabilities, clinical genetics laboratories historically have been centered on mutation detection for Mendelian disorders. However, the ongoing identification of deoxyribonucleic acid (DNA) sequence variants associated with common diseases prompted the availability of testing for personal disease risk estimation, and created commercial opportunities for direct-to-consumer genetic testing companies that assay these variants. This germline genetic risk, in conjunction with other clinical, family, and demographic variables, are the key components of the personalized medicine paradigm, which aims to apply personal genomic and other relevant data into a patient’s clinical assessment to more precisely guide medical management. However, genetic testing for disease risk estimation is an ongoing topic of debate, largely due to inconsistencies in the results, concerns over clinical validity and utility, and the variable mode of delivery when returning genetic results to patients in the absence of traditional counseling. A related class of genetic testing with analogous issues of clinical utility and acceptance is pharmacogenetic testing, which interrogates sequence variants implicated in interindividual drug response variability. Although clinical pharmacogenetic testing has not previously been widely adopted, advances in rapid turnaround time genetic testing technology and the recent implementation of preemptive genotyping programs at selected medical centers suggest that personalized medicine through pharmacogenetics is now a reality. This review aims to summarize the current state of implementing genetic testing for personalized medicine, with an emphasis on clinical pharmacogenetic testing.
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Affiliation(s)
- Noura S Abul-Husn
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aniwaa Owusu Obeng
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA ; Department of Pharmacy, Mount Sinai Hospital, New York, NY, USA
| | - Saskia C Sanderson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stuart A Scott
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Widmer N, Bardin C, Chatelut E, Paci A, Beijnen J, Levêque D, Veal G, Astier A. Review of therapeutic drug monitoring of anticancer drugs part two – Targeted therapies. Eur J Cancer 2014; 50:2020-36. [DOI: 10.1016/j.ejca.2014.04.015] [Citation(s) in RCA: 217] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Accepted: 04/11/2014] [Indexed: 02/06/2023]
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Byrom M, Bhadra S, Jiang YS, Ellington AD. Exquisite allele discrimination by toehold hairpin primers. Nucleic Acids Res 2014; 42:e120. [PMID: 24990378 PMCID: PMC4150758 DOI: 10.1093/nar/gku558] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
The ability to detect and monitor single nucleotide polymorphisms (SNPs) in biological samples is an enabling research and clinical tool. We have developed a surprising, inexpensive primer design method that provides exquisite discrimination between SNPs. The field of DNA computation is largely reliant on using so-called toeholds to initiate strand displacement reactions, leading to the execution of kinetically trapped circuits. We have now similarly found that the short toehold sequence to a target of interest can initiate both strand displacement within the hairpin and extension of the primer by a polymerase, both of which will further stabilize the primer:template complex. However, if the short toehold does not bind, neither of these events can readily occur and thus amplification should not occur. Toehold hairpin primers were used to detect drug resistance alleles in two genes, rpoB and katG, in the Mycobacterium tuberculosis genome, and ten alleles in the Escherichia coli genome. During real-time PCR, the primers discriminate between mismatched templates with Cq delays that are frequently so large that the presence or absence of mismatches is essentially a ‘yes/no’ answer.
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Affiliation(s)
- Michelle Byrom
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712, USA
| | - Sanchita Bhadra
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712, USA
| | - Yu Sherry Jiang
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712, USA
| | - Andrew D Ellington
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712, USA
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Mwinyi J, Vokinger K, Jetter A, Breitenstein U, Hiller C, Kullak-Ublick GA, Trojan A. Impact of variable CYP genotypes on breast cancer relapse in patients undergoing adjuvant tamoxifen therapy. Cancer Chemother Pharmacol 2014; 73:1181-8. [PMID: 24682508 DOI: 10.1007/s00280-014-2453-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2013] [Accepted: 03/14/2014] [Indexed: 01/08/2023]
Abstract
BACKGROUND Tamoxifen is frequently used for the treatment of hormone receptor positive breast cancer (BC). Mainly CYP2D6 is responsible for the transformation to therapeutically active metabolites, but CYP2C19, CYP2C9 and CYP2B6 also are involved. We investigated the impact of polymorphisms within the genes encoding these CYP enzymes on the relapse-free time (RFT) in patients with BC. METHODS Ninety-nine patients with hormone receptor positive BC, who had undergone adjuvant tamoxifen therapy, were genotyped for seventeen common variants within the genes encoding CYP2D6, CYP2C9, CYP2C19 and CYP2B6 using TaqMan and PCR-RFLP technology. Kaplan-Meier and Cox regression analyses were performed to elucidate the impact of genetic variants on RFT. Furthermore, CYP2D6 metabolic activity was determined in a subset of 50 patients by assessing dextromethorphan/dextrorphan urinary excretion ratios. CYP2D6 activity was compared to the CYP2D6 allelic combinations to evaluate the predictive value of the CYP2D6 genotyping results on phenotype. RESULTS Although a trend toward longer RFTs in carriers of CYP2D6 allele combinations encoding for extensive and ultrafast metabolizer phenotypes was observed, none of the investigated genetic variants had a statistically significant impact on RFT. The combined analysis of five major CYP2D6 variants was useful for the discrimination between poor and non-poor metabolizers. CONCLUSIONS Comprehensive CYP2D6 genotyping has a good predictive value for CYP2D6 activity. Common variants in CYP2C9, CYP2C19, CYP2D6, and CYP2B6 did not have a significant impact on the RFT in this cohort of patients with BC.
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Affiliation(s)
- Jessica Mwinyi
- Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, Zurich, Switzerland
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Saladores PH, Precht JC, Schroth W, Brauch H, Schwab M. Impact of metabolizing enzymes on drug response of endocrine therapy in breast cancer. Expert Rev Mol Diagn 2013; 13:349-65. [PMID: 23638818 DOI: 10.1586/erm.13.26] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Estrogen-receptor positive breast cancer accounts for 75% of diagnosed breast cancers worldwide. There are currently two major options for adjuvant treatment: tamoxifen and aromatase inhibitors. Variability in metabolizing enzymes determines their pharmacokinetic profile, possibly affecting treatment response. Therefore, prediction of therapy outcome based on genotypes would enable a more personalized medicine approach, providing optimal therapy for each patient. In this review, the authors will discuss the current evidence on the most important metabolizing enzymes in endocrine therapy, with a special focus on CYP2D6 and its role in tamoxifen metabolism.
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Affiliation(s)
- Pilar H Saladores
- Dr Margarete Fischer-Bosch-Institute of Clinical Pharmacology and University of Tübingen, Auerbachstr. 112, 70376 Stuttgart, Germany
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CYP2D6 genotype and tamoxifen activity: understanding interstudy variability in methodological quality. Clin Pharmacol Ther 2013; 94:185-7. [PMID: 23872831 DOI: 10.1038/clpt.2013.66] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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So D, Joly Y. Commercial Opportunities and Ethical Pitfalls in Personalized Medicine: A Myriad of Reasons to Revisit the Myriad Genetics Saga. ACTA ACUST UNITED AC 2013; 11:98-109. [PMID: 23885284 PMCID: PMC3715893 DOI: 10.2174/1875692111311020003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2013] [Revised: 04/03/2013] [Accepted: 04/12/2013] [Indexed: 12/24/2022]
Abstract
In 1996, the US-based biotechnology company Myriad Genetics began offering genetic diagnostic tests for mutations in the genes BRCA1 and BRCA2, which are linked to hereditary breast and ovarian cancer. Since that time, Myriad has been a forerunner in the field of personalized medicine through the use of effective commercialization strategies which have been emulated by other commercial biotechnology companies. Myriad’s strategies include patent acquisition and active enforcement, direct-to-consumer advertising, diversification, and trade secrets. These business models have raised substantial ethical controversy and criticism, often related to the company’s focus on market dominance and the potential conflict between private sector profitability and the promotion of public health. However, these strategies have enabled Myriad to survive the economic challenges that have affected the biotechnology sector and to become financially successful in the field of personalized medicine. Our critical assessment of the legal, economic and ethical aspects of Myriad’s practices over this period allows the identification of the company’s more effective business models. It also discusses of the consequences of implementing economically viable models without first carrying out broader reflection on the socio-cultural, ethical and political contexts in which they would apply.
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Affiliation(s)
- Derek So
- Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Canada
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Hong H, Jawaid A, Wang J, Catalano J, Fox JC, Hawkins TB. Combining genetic variations in CYP2C9 and VKORC1 with clinical factors for warfarin dosing determination improved clinical effectiveness. Pharmacogenomics 2013; 14:459-60. [PMID: 23556443 DOI: 10.2217/pgs.13.29] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Huixiao Hong
- Division of Bioinformatics & Biostatistics, National Center for Toxicological Research, US FDA, 3900 NCTR Road, Jefferson, AR 72079, USA.
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Zafra-Ceres M, de Haro T, Farez-Vidal E, Blancas I, Bandres F, de Dueñas EM, Ochoa-Aranda E, Gomez-Capilla JA, Gomez-Llorente C. Influence of CYP2D6 polymorphisms on serum levels of tamoxifen metabolites in Spanish women with breast cancer. Int J Med Sci 2013; 10:932-7. [PMID: 23781139 PMCID: PMC3675507 DOI: 10.7150/ijms.5708] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2012] [Accepted: 05/08/2013] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Estrogen receptor-positive breast cancer tumors depend on estrogen signaling for their growth and replication and can be treated by anti-estrogen therapy with tamoxifen. Polymorphisms of the CYP2D6 and CYP2C19 genes are associated with an impaired response to tamoxifen. The study objective was to investigate the impact of genetic polymorphisms in CYP2D6 and CYP2C19 on the pharmacokinetics of tamoxifen and its metabolites in Spanish women with estrogen receptor-positive breast cancer who were candidates for tamoxifen therapy. METHODS We studied 90 women with estrogen receptor-positive breast cancer, using the AmpliChip CYP450 test to determine CYP2D6 and CYP2C19 gene variants. Plasma levels of tamoxifen and its metabolites were quantified by high-performance liquid chromatography. RESULTS The CYP2D6 phenotype was extensive metabolizer in 80%, intermediate metabolizer in 12.2%, ultra-rapid metabolizer in 2.2%, and poor metabolizer in 5.6% of patients, and the allele frequency was 35.0% for allele (*)1, 21.0% for *2, and 18.9% for *4. All poor metabolizers in this series were *4/*4, and their endoxifen and 4-hydroxy tamoxifen levels were 25% lower than those of extensive metabolizers. CYP2C19*2 allele, which has been related to breast cancer outcomes, was detected in 15.6% of the studied alleles. CONCLUSION CYP2D6*4/*4 genotype was inversely associated with 4-hydroxy tamoxifen and endoxifen levels. According to these results, CYP2D6 and CYP2C19 genotyping appears advisable before the prescription of tamoxifen therapy.
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Affiliation(s)
- Mercedes Zafra-Ceres
- Clinical Biochemistry Services, San Cecilio University Hospital. Avd/ Doctor Olóriz s/n 18012, Granada, Spain
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