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Shriver SP, Adams D, McKelvey BA, McCune JS, Miles D, Pratt VM, Ashcraft K, McLeod HL, Williams H, Fleury ME. Overcoming Barriers to Discovery and Implementation of Equitable Pharmacogenomic Testing in Oncology. J Clin Oncol 2024:JCO2301748. [PMID: 38386947 DOI: 10.1200/jco.23.01748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 11/08/2023] [Accepted: 12/12/2023] [Indexed: 02/24/2024] Open
Abstract
Pharmacogenomics (PGx), the study of inherited genomic variation and drug response or safety, is a vital tool in precision medicine. In oncology, testing to identify PGx variants offers patients the opportunity for customized treatments that can minimize adverse effects and maximize the therapeutic benefits of drugs used for cancer treatment and supportive care. Because individuals of shared ancestry share specific genetic variants, PGx factors may contribute to outcome disparities across racial and ethnic categories when genetic ancestry is not taken into account or mischaracterized in PGx research, discovery, and application. Here, we examine how the current scientific understanding of the role of PGx in differential oncology safety and outcomes may be biased toward a greater understanding and more complete clinical implementation of PGx for individuals of European descent compared with other genetic ancestry groups. We discuss the implications of this bias for PGx discovery, access to care, drug labeling, and patient and provider understanding and use of PGx approaches. Testing for somatic genetic variants is now the standard of care in treatment of many solid tumors, but the integration of PGx into oncology care is still lacking despite demonstrated actionable findings from PGx testing, reduction in avoidable toxicity and death, and return on investment from testing. As the field of oncology is poised to expand and integrate germline genetic variant testing, it is vital that PGx discovery and application are equitable for all populations. Recommendations are introduced to address barriers to facilitate effective and equitable PGx application in cancer care.
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Affiliation(s)
| | | | | | - Jeannine S McCune
- City of Hope/Beckman Research Institute Department of Hematologic Malignancies Translational Sciences, Duarte, CA
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Lteif C, Eddy E, Terrell J, Cavallari LH, Malaty J, Duarte JD. Feasibility of preemptive pharmacogenetic testing and improvement of medication treatment satisfaction among medically underserved patients. Clin Transl Sci 2024; 17:e13692. [PMID: 38013396 PMCID: PMC10772669 DOI: 10.1111/cts.13692] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 11/06/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023] Open
Abstract
Previous findings suggest that medically underserved patients are prescribed medications with pharmacogenetic (PGx) guidelines at a high frequency. Thus, underserved patients may especially benefit from PGx testing, but little evidence exists regarding the effect of testing in this population. This pilot study aimed to generate key feasibility data and explore clinical outcomes of PGx implementation in underserved populations. Black and Latino patients were recruited from an outpatient clinic and underwent PGx testing. Feasibility measures included enrollment metrics and actionable genotype frequencies. The primary clinical outcome was patient medication treatment satisfaction 6 months after testing. Implementation outcomes included the number of healthcare provider encounters and medication changes within the 6-month follow-up. Effectiveness outcomes included medication adherence, patient-perceived test value, and time spent discussing medications with providers. Ninety-nine patients completed the study. Proton-pump inhibitors were the most frequent PGx drug class prescribed at baseline (61%) followed by nonsteroidal anti-inflammatory drugs (36%). Patients with an actionable genotype constituted 96% of the population, whereas 28% had an actionable genotype related to their PGx drug. Patient treatment satisfaction significantly increased over the 6 months after PGx testing. In addition, medication adherence and the number of provider encounters significantly increased over the study period. In a pilot study, preemptive PGx testing was feasible in primary care clinics, improved patient treatment satisfaction and adherence, and increased the number of provider encounters in medically underserved patients. Future clinical trials are warranted to assess the long-term effects of PGx testing in a larger diverse patient population.
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Affiliation(s)
- Christelle Lteif
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Elizabeth Eddy
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Joshua Terrell
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - Larisa H. Cavallari
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
| | - John Malaty
- Department of Community Health and Family Medicine, College of MedicineUniversity of FloridaGainesvilleFloridaUSA
| | - Julio D. Duarte
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, College of PharmacyUniversity of FloridaGainesvilleFloridaUSA
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Li B, Sangkuhl K, Whaley R, Woon M, Keat K, Whirl-Carrillo M, Ritchie MD, Klein TE. Frequencies of pharmacogenomic alleles across biogeographic groups in a large-scale biobank. Am J Hum Genet 2023; 110:1628-1647. [PMID: 37757824 PMCID: PMC10577080 DOI: 10.1016/j.ajhg.2023.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/01/2023] [Accepted: 09/01/2023] [Indexed: 09/29/2023] Open
Abstract
Pharmacogenomics (PGx) is an integral part of precision medicine and contributes to the maximization of drug efficacy and reduction of adverse drug event risk. Accurate information on PGx allele frequencies improves the implementation of PGx. Nonetheless, curating such information from published allele data is time and resource intensive. The limited number of allelic variants in most studies leads to an underestimation of certain alleles. We applied the Pharmacogenomics Clinical Annotation Tool (PharmCAT) on an integrated 200K UK Biobank genetic dataset (N = 200,044). Based on PharmCAT results, we estimated PGx frequencies (alleles, diplotypes, phenotypes, and activity scores) for 17 pharmacogenes in five biogeographic groups: European, Central/South Asian, East Asian, Afro-Caribbean, and Sub-Saharan African. PGx frequencies were distinct for each biogeographic group. Even biogeographic groups with similar proportions of phenotypes were driven by different sets of dominant PGx alleles. PharmCAT also identified "no-function" alleles that were rare or seldom tested in certain groups by previous studies, e.g., SLCO1B1∗31 in the Afro-Caribbean (3.0%) and Sub-Saharan African (3.9%) groups. Estimated PGx frequencies are disseminated via the PharmGKB (The Pharmacogenomics Knowledgebase: www.pharmgkb.org). We demonstrate that genetic biobanks such as the UK Biobank are a robust resource for estimating PGx frequencies. Improving our understanding of PGx allele and phenotype frequencies provides guidance for future PGx studies and clinical genetic test panel design, and better serves individuals from wider biogeographic backgrounds.
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Affiliation(s)
- Binglan Li
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Katrin Sangkuhl
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Ryan Whaley
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Mark Woon
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Karl Keat
- Genomics and Computational Biology PhD Program, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Teri E Klein
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA; Department of Genetics (by courtesy), Stanford University, Stanford, CA 94305, USA; Department of Medicine (BMIR), Stanford University, Stanford, CA 94305, USA.
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Lemke LK, Alam B, Williams R, Starostik P, Cavallari LH, Cicali EJ, Wiisanen K. Reimbursement of pharmacogenetic tests at a tertiary academic medical center in the United States. Front Pharmacol 2023; 14:1179364. [PMID: 37645439 PMCID: PMC10461057 DOI: 10.3389/fphar.2023.1179364] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 07/17/2023] [Indexed: 08/31/2023] Open
Abstract
Introduction: Pharmacogenetics (PGx) has the potential to improve health outcomes but cost of testing is a barrier for equitable access. Reimbursement by insurance providers may lessen the financial burden for patients, but the extent to which PGx claims are covered in clinical practice has not been well-characterized in the literature. Methods: A retrospective analysis of outpatient claims submitted to payers for PGx tests from 1/1/2019 through 12/31/2021 was performed. A reimbursement rate was calculated and compared across specific test types (e.g., single genes, panel), payers, indication, and the year the claim was submitted. Results: A total of 1,039 outpatient claims for PGx testing were analyzed. The overall reimbursement rate was 46% and ranged from 36%-48% across payers. PGx panels were reimbursed at a significantly higher rate than single gene tests (74% vs. 43%, p < 0.001). Discussion: Reimbursement of claims for PGx testing is variable based on the test type, indication, year the claim was submitted, number of diagnosis codes submitted, and number of unique diagnosis codes submitted. Due to the highly variable nature of reimbursement, cost and affordability should be discussed with each patient.
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Affiliation(s)
- Lauren K. Lemke
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Benish Alam
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Roy Williams
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL, United States
| | - Petr Starostik
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, United States
- UF Health Pathology Laboratories, UF Health, Gainesville, FL, United States
| | - Larisa H. Cavallari
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Emily J. Cicali
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Kristin Wiisanen
- Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
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Gawronski BE, Cicali EJ, McDonough CW, Cottler LB, Duarte JD. Exploring perceptions, knowledge, and attitudes regarding pharmacogenetic testing in the medically underserved. Front Genet 2023; 13:1085994. [PMID: 36712853 PMCID: PMC9880414 DOI: 10.3389/fgene.2022.1085994] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/28/2022] [Indexed: 01/15/2023] Open
Abstract
Introduction: Pharmacogenetic testing may hold promise in addressing health disparities, as medically underserved patients appear to be prescribed medications with pharmacogenetic guidelines at higher rates. While routine clinical implementation of testing in medically underserved populations has not yet been achieved, using patient perspectives to inform implementation should increase the likelihood of success. The aim of this study was to assess the perceptions, knowledge, and attitudes regarding pharmacogenetic testing in medically underserved patients. Methods: We developed a survey instrument to assess respondent views on pharmacogenetic testing. The survey instrument was developed through a process of literature review, expert input, iterative pilot testing, and final refinement. The survey instrument was fielded to US adults with an estimated household income of $42,000 per year or less. Results: During the survey instrument development, 59 pilot testers provided 133 comments which lead to 38 revisions to the survey instrument. The nationwide survey resulted in 1,060 respondents, of which half (49.8%) reported having no health insurance or being on Medicaid. Most patients (78.9%) had not previously heard of pharmacogenetic testing. After being provided an explanation of pharmacogenetic testing, 60.5% were very or moderately interested in receiving testing if there were no cost and 75.8% of respondents agreed or strongly agreed that pharmacogenetic testing should be available to help with medication selection regardless of cost. Respondents shared that their greatest concern with pharmacogenetic testing was that the test would cost them money, which was expressed by over half (52.7%). This was followed by concerns that the results could reveal a risk for a disease, could affect health insurance, and would not improve care. Discussion: Our results indicate a strong interest in pharmacogenetic testing and identify key perceptions, attitudes, concerns, and potential barriers that can be addressed as pharmacogenetic testing is clinically implemented in medically underserved patient populations.
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Affiliation(s)
- Brian E. Gawronski
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL, United States
| | - Emily J. Cicali
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL, United States
| | - Caitrin W. McDonough
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL, United States
| | - Linda B. Cottler
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, United States
| | - Julio D. Duarte
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL, United States
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McDermott JH, Wright S, Sharma V, Newman WG, Payne K, Wilson P. Characterizing pharmacogenetic programs using the consolidated framework for implementation research: A structured scoping review. Front Med (Lausanne) 2022; 9:945352. [PMID: 36059837 PMCID: PMC9433561 DOI: 10.3389/fmed.2022.945352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/29/2022] [Indexed: 12/11/2022] Open
Abstract
Several healthcare organizations have developed pre-emptive pharmacogenetic testing programs, where testing is undertaken prior to the prescription of a medicine. This review characterizes the barriers and facilitators which influenced the development of these programs. A bidirectional citation searching strategy identified relevant publications before a standardized data extraction approach was applied. Publications were grouped by program and data synthesis was undertaken using the Consolidated Framework for Implementation Research (CFIR). 104 publications were identified from 40 programs and 4 multi-center initiatives. 26 (66%) of the programs were based in the United States and 95% in high-income countries. The programs were heterogeneous in their design and scale. The Characteristics of the Intervention, Inner Setting, and Process domains were referenced by 92.5, 80, and 77.5% of programs, respectively. A positive institutional culture, leadership engagement, engaging stakeholders, and the use of clinical champions were frequently described as facilitators to implementation. Clinician self-efficacy, lack of stakeholder knowledge, and the cost of the intervention were commonly cited barriers. Despite variation between the programs, there were several similarities in approach which could be categorized via the CFIR. These form a resource for organizations planning the development of pharmacogenetic programs, highlighting key facilitators which can be leveraged to promote successful implementation.
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Affiliation(s)
- John H. McDermott
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
- *Correspondence: John H. McDermott,
| | - Stuart Wright
- Division of Population Health, Manchester Centre for Health Economics, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Videha Sharma
- Division of Informatics, Centre for Health Informatics, Imaging and Data Science, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - William G. Newman
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
| | - Katherine Payne
- Division of Population Health, Manchester Centre for Health Economics, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Paul Wilson
- Division of Population Health, Centre for Primary Care and Health Services Research, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
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Bousman CA, Oomen A, Jessel CD, Tampi RR, Forester BP, Eyre HA, Lavretsky H, Müller DJ. Perspectives on the Clinical Use of Pharmacogenetic Testing in Late-Life Mental Healthcare: A Survey of the American Association of Geriatric Psychiatry Membership. Am J Geriatr Psychiatry 2022; 30:560-571. [PMID: 34740522 DOI: 10.1016/j.jagp.2021.09.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/28/2021] [Accepted: 09/29/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To assess perspectives on pharmacogenetic (PGx) testing among members of the American Association of Geriatric Psychiatry (AAGP). DESIGN Cross-sectional survey. PARTICIPANTS Members of the AAGP. MEASUREMENTS Anonymous web-based survey consisting of 41 items covering experiences, indications, barriers, facilitators and ethical, legal and social implications for PGx testing. RESULTS A total of 124 surveys were completed (response rate = 13%). Most respondents (60%) had used PGx testing but an equal proportion (58%) was uncertain about the clinical usefulness of PGx testing in late-life mental health. Despite self-reported confidence in the ability to order and interpret PGx testing, 60% of respondents felt there was not enough clinical evidence for them to use PGx testing in their practice. This was compounded by uncertainties related to their ethical obligation and legal liability when interpreting and using (or not using) PGx testing results. Respondents strongly affirmed that clinical and legal guidelines for PGx testing in older adults are needed and would be helpful. CONCLUSION The findings suggest additional PGx research and physician education in late-life mental healthcare settings is required to reconcile uncertainties related to the clinical efficacy and ethico-legal aspects of PGx testing as well as address current knowledge barriers to testing uptake. These efforts would be further facilitated by the development of clinical practice guidelines to ensure equitable access to testing and standardized implementation of PGx-informed prescribing in older adults.
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Affiliation(s)
- Chad A Bousman
- Department of Medical Genetics, University of Calgary (CAB), Calgary, AB, Canada; Department of Psychiatry, University of Calgary (CAB), Calgary, AB, Canada; Department of Physiology & Pharmacology, University of Calgary (CAB), Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary (CAB, AO), Calgary, AB, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary (CAB, CDJ), Calgary, AB, Canada.
| | - Anita Oomen
- Alberta Children's Hospital Research Institute, University of Calgary (CAB, AO), Calgary, AB, Canada
| | - Chaten D Jessel
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary (CAB, CDJ), Calgary, AB, Canada
| | - Rajesh R Tampi
- Department of Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University (RRT), Cleveland, OH; Department of Psychiatry, Yale School of Medicine (RRT), New Haven, CT
| | - Brent P Forester
- Division of Geriatric Psychiatry, McLean Hospital (BPF), Belmont, MA; Harvard Medical School (BPF), Boston, MA
| | - Harris A Eyre
- Neuroscience-inspired Policy Initiative, Organisation for Economic Co-Operation and Development (OECD) and PRODEO Institute (HAE), Paris, France; Institute for Mental Health and Physical Health and Clinical Translation (IMPACT), Deakin University (HAE), Geelong, Victoria, Australia; Global Brain Health Institute, University of California, San Francisco and Trinity College Dublin (HAE), Dublin, Ireland; Department of Psychiatry, Baylor College of Medicine (HAE), Houston, TX
| | - Helen Lavretsky
- Department of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles (HL), Los Angeles, CA
| | - Daniel J Müller
- Department of Psychiatry, University of Toronto (DJM), Toronto, Ontario, Canada; Centre for Addiction and Mental Health, University of Toronto (DJM), Toronto, Ontario, Canada
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Anderson HD, Thant TM, Kao DP, Crooks KR, Mendola N, Aquilante CL. Pharmacogenetic testing among patients with depression in a US managed care population. Clin Transl Sci 2022; 15:1644-1653. [PMID: 35385214 PMCID: PMC9283740 DOI: 10.1111/cts.13279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/14/2022] [Accepted: 03/10/2022] [Indexed: 12/01/2022] Open
Abstract
Actionable drug–gene pairs relevant to depression treatment include CYP2D6 and CYP2C19 with specific antidepressants. While clinical use of pharmacogenetic testing is growing, little is known about pharmacogenetic testing for depression treatment in managed care. We determined the incidence of single‐gene CYP2D6 and CYP2C19 testing following a new depression episode among US managed care patients, and described characteristics and antidepressant use of patients receiving tests. We used paid medical and pharmacy claims for patients from commercial health plans in the US. For adult patients with a new depression episode from January 1, 2013 to June 30, 2018, we identified covered claims for single‐gene CYP2D6 and CYP2C19 pharmacogenetic tests and antidepressant fills. Fewer than 1% (n = 1795) of the depressed cohort (n = 438,534) received a single‐gene CYP2D6 or CYP2C19 test through their insurance within 365 days of their earliest depression episode. The percentage of patients who received a test nearly tripled from 0.2% in 2013 to 0.5% in 2014 before plateauing at 0.4% from 2014 to 2017. Among the patients who received a single‐gene CYP2D6 or CYP2C19 test and filled an antidepressant within 365 days of their depression diagnosis, up to 30% may have had their initial antidepressant informed by the test result. Our findings describe the use of antidepressants before and after pharmacogenetic testing, which is clinically relevant as pharmacogenomic testing becomes more common in clinical practice. Our study also emphasizes the need for procedure and billing codes that capture multiple‐gene panel tests to be more widely implemented in administrative databases.
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Affiliation(s)
- Heather D Anderson
- Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, USA
| | - Thida M Thant
- Department of Psychiatry, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - David P Kao
- Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Kristy R Crooks
- Department of Pathology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas Mendola
- Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, USA
| | - Christina L Aquilante
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, USA
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The Value of Pharmacogenetics to Reduce Drug-Related Toxicity in Cancer Patients. Mol Diagn Ther 2022; 26:137-151. [PMID: 35113367 PMCID: PMC8975257 DOI: 10.1007/s40291-021-00575-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/19/2021] [Indexed: 10/19/2022]
Abstract
Many anticancer drugs cause adverse drug reactions (ADRs) that negatively impact safety and reduce quality of life. The typical narrow therapeutic range and exposure-response relationships described for anticancer drugs make precision dosing critical to ensure safe and effective drug exposure. Germline mutations in pharmacogenes contribute to inter-patient variability in pharmacokinetics and pharmacodynamics of anticancer drugs. Patients carrying reduced-activity or loss-of-function alleles are at increased risk for ADRs. Pretreatment genotyping offers a proactive approach to identify these high-risk patients, administer an individualized dose, and minimize the risk of ADRs. In the field of oncology, the most well-studied gene-drug pairs for which pharmacogenetic dosing recommendations have been published to improve safety are DPYD-fluoropyrimidines, TPMT/NUDT15-thiopurines, and UGT1A1-irinotecan. Despite the presence of these guidelines, the scientific evidence showing the benefits of pharmacogenetic testing (e.g., improved safety and cost-effectiveness) and the development of efficient multi-gene genotyping panels, routine pretreatment testing for these gene-drug pairs has not been implemented widely in the clinic. Important considerations required for widespread clinical implementation include pharmacogenetic education of physicians, availability or allocation of institutional resources to build an efficient clinical infrastructure, international standardization of guidelines, uniform adoption of guidelines by regulatory agencies leading to genotyping requirements in drug labels, and development of cohesive reimbursement policies for pretreatment genotyping. Without clinical implementation, the potential of pharmacogenetics to improve patient safety remains unfulfilled.
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Ho TT, Gift M, Alexander E. Prioritizing pharmacogenomics implementation initiates: a survey of healthcare professionals. Per Med 2021; 19:15-23. [PMID: 34881640 DOI: 10.2217/pme-2021-0061] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Aim: Characterize current perceptions, practices, preferences and barriers to integrating pharmacogenomics into patient care at an institution with an established pharmacogenomics clinic. Materials & methods: A 16-item anonymous survey was sent to healthcare professionals practicing at Tampa General Hospital and the University of South Florida Health. Results: Survey participants consisted of nine advanced practice providers, 41 pharmacists and 64 physicians. Majority of survey participants did not feel confident in their ability to interpret and apply pharmacogenomic results. In the past 12 months, 27% of physicians reported ordering a pharmacogenomic test. The greatest reported barrier to integrating pharmacogenomics was the absence of established guidelines or protocols. Conclusion: Most clinicians believed pharmacogenomics would be useful in their clinical practice but do not feel prepared to interpret pharmacogenomic results.
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Affiliation(s)
- Teresa T Ho
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA.,Department of Internal Medicine, University of South Florida Morsani College of Medicine, Tampa, FL 33612, USA
| | - Maja Gift
- Department of Pharmacy Services, Tampa General Hospital, Tampa, FL 33601, USA
| | - Earnest Alexander
- Department of Pharmacy Services, Tampa General Hospital, Tampa, FL 33601, USA
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Niedrig DF, Rahmany A, Heib K, Hatz KD, Ludin K, Burden AM, Béchir M, Serra A, Russmann S. Clinical Relevance of a 16-Gene Pharmacogenetic Panel Test for Medication Management in a Cohort of 135 Patients. J Clin Med 2021; 10:jcm10153200. [PMID: 34361984 PMCID: PMC8347064 DOI: 10.3390/jcm10153200] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 07/11/2021] [Accepted: 07/19/2021] [Indexed: 12/17/2022] Open
Abstract
There is a growing number of evidence-based indications for pharmacogenetic (PGx) testing. We aimed to evaluate clinical relevance of a 16-gene panel test for PGx-guided pharmacotherapy. In an observational cohort study, we included subjects tested with a PGx panel for variants of ABCB1, COMT, CYP1A2, CYP2B6, CYP3A4, CYP3A5, CYP2C9, CYP2C19, CYP2D6, CYP4F2, DPYD, OPRM1, POR, SLCO1B1, TPMT and VKORC1. PGx-guided pharmacotherapy management was supported by the PGx expert system SONOGEN XP. The primary study outcome was PGx-based changes and recommendations regarding current and potential future medication. PGx-testing was triggered by specific drug-gene pairs in 102 subjects, and by screening in 33. Based on PharmGKB expert guidelines we identified at least one "actionable" variant in all 135 (100%) tested patients. Drugs that triggered PGx-testing were clopidogrel in 60, tamoxifen in 15, polypsychopharmacotherapy in 9, opioids in 7, and other in 11 patients. Among those, PGx variants resulted in clinical recommendations to change PGx-triggering drugs in 33 (32.4%), and other current pharmacotherapy in 23 (22.5%). Additional costs of panel vs. single gene tests are moderate, and the efficiency of PGx panel testing challenges traditional cost-benefit calculations for single drug-gene pairs. However, PGx-guided pharmacotherapy requires specialized expert consultations with interdisciplinary collaborations.
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Affiliation(s)
- David F. Niedrig
- Drugsafety.ch, 8703 Kusnacht, Switzerland; (D.F.N.); (A.R.)
- Hospital Pharmacy, Clinic Hirslanden Zurich, 8032 Zurich, Switzerland
| | - Ali Rahmany
- Drugsafety.ch, 8703 Kusnacht, Switzerland; (D.F.N.); (A.R.)
- Swiss Federal Institute of Technology Zurich (ETHZ), 8093 Zurich, Switzerland;
| | - Kai Heib
- INTLAB AG, 8707 Uetikon am See, Switzerland; (K.H.); (K.-D.H.)
| | | | - Katja Ludin
- Labor Risch, Molecular Genetics, 3097 Berne, Switzerland;
| | - Andrea M. Burden
- Swiss Federal Institute of Technology Zurich (ETHZ), 8093 Zurich, Switzerland;
| | - Markus Béchir
- Center for Internal Medicine, Clinic Hirslanden Aarau, 5001 Aarau, Switzerland;
| | - Andreas Serra
- Institute of Internal Medicine and Nephrology, Clinic Hirslanden Zurich, 8032 Zurich, Switzerland;
| | - Stefan Russmann
- Drugsafety.ch, 8703 Kusnacht, Switzerland; (D.F.N.); (A.R.)
- Swiss Federal Institute of Technology Zurich (ETHZ), 8093 Zurich, Switzerland;
- Institute of Internal Medicine and Nephrology, Clinic Hirslanden Zurich, 8032 Zurich, Switzerland;
- Correspondence: ; Tel.: +41-(0)44-221-1003
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12
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Dalton R, Brown JD, Duarte JD. Patients with geographic barriers to health care access are prescribed a higher proportion of drugs with pharmacogenetic testing guidelines. Clin Transl Sci 2021; 14:1841-1852. [PMID: 33955180 PMCID: PMC8504817 DOI: 10.1111/cts.13032] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 01/28/2021] [Accepted: 02/16/2021] [Indexed: 11/28/2022] Open
Abstract
Pharmacogenetic (PGx) testing may be particularly beneficial in medically underserved populations by reducing the number of appointments required to optimize drug therapy and increasing the effectiveness of less expensive off-patent drugs. The objective of this study was to identify patient populations with poor health care access and assess prescribing trends for drugs with published PGx testing guidelines. We used electronic health record data from 67,753 University of Florida Health patients, geographic access scores calculated via the 2-step floating catchment area method, and a composite measure of socioeconomic status. Comparing the poorest (Q4) and greatest (Q1) access score quartiles, poor geographic access was significantly associated with fewer prescriber encounters (incidence rate ratio [IRR] 0.88, 95% confidence interval [CI] 0.86-0.91), fewer total unique drugs (IRR 0.92, 95% CI 0.9-0.95), and fewer PGx guideline drugs (IRR 0.94, 95% CI 0.9-0.99). After correcting for number of unique drugs, patients in low-access areas were prescribed a greater proportion of PGx guideline drugs (IRR 1.08, 95% CI 1.04-1.13). We detected significant interactions between Black race and access score. Compared to Q1, Black patients with Q4 access scores were disproportionately affected and had fewer encounters (IRR 0.76, 95% CI 0.7-0.82) and a higher proportion of PGx drugs (IRR 1.26, 95% CI 1.13-1.41), creating further disparity. Overall, these results suggest that improved geographic access to PGx testing may allow prescribers to make more efficient use of limited opportunities to optimize therapy for drugs with PGx testing guidelines.
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Affiliation(s)
- Rachel Dalton
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Joshua D Brown
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Julio D Duarte
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA
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13
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Varughese LA, Lau-Min KS, Cambareri C, Damjanov N, Massa R, Reddy N, Oyer R, Teitelbaum U, Tuteja S. DPYD and UGT1A1 Pharmacogenetic Testing in Patients with Gastrointestinal Malignancies: An Overview of the Evidence and Considerations for Clinical Implementation. Pharmacotherapy 2020; 40:1108-1129. [PMID: 32985005 PMCID: PMC8796462 DOI: 10.1002/phar.2463] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Gastrointestinal (GI) malignancies are among the most commonly diagnosed cancers worldwide. Despite the introduction of targeted and immunotherapy agents in the treatment landscape, cytotoxic agents, such as fluoropyrimidines and irinotecan, remain as the cornerstone of chemotherapy for many of these tumors. Pharmacogenetics (PGx) is a rapidly evolving field that accounts for interpatient variability in drug metabolism to predict therapeutic response and toxicity. Given the significant incidence of severe treatment-related adverse events associated with cytotoxic agents, utilizing PGx can allow clinicians to better anticipate drug tolerability while minimizing treatment interruptions or delays. In this review, the PGx profiles of drug-gene pairs with potential impact in GI malignancy therapy - DPYD-5-fluorouracil/capecitabine and UGT1A1-irinotecan - and the available clinical evidence of their roles in reducing severe adverse events are discussed. Considerations for clinical implementation, such as optimal laboratory workflows, electronic health record integration, and stakeholder engagement, as well as provider education, are addressed. Last, exploratory PGx markers in GI malignancy treatment are described. As the PGx knowledge base rapidly evolves, pharmacists will be vital in leveraging their pharmacology knowledge and clinical skills to implement PGx testing in the clinic.
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Affiliation(s)
- Lisa A. Varughese
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kelsey S. Lau-Min
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Christine Cambareri
- Department of Pharmacy, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Nevena Damjanov
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ryan Massa
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Nandi Reddy
- Ann B. Barshinger Cancer Institute, Penn Medicine at Lancaster General Health, Lancaster, Pennsylvania
| | - Randall Oyer
- Ann B. Barshinger Cancer Institute, Penn Medicine at Lancaster General Health, Lancaster, Pennsylvania
| | - Ursina Teitelbaum
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sony Tuteja
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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14
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Anderson HD, Crooks KR, Kao DP, Aquilante CL. The landscape of pharmacogenetic testing in a US managed care population. Genet Med 2020; 22:1247-1253. [PMID: 32291400 PMCID: PMC7332417 DOI: 10.1038/s41436-020-0788-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 03/17/2020] [Accepted: 03/18/2020] [Indexed: 12/03/2022] Open
Abstract
Purpose Little is known about how many insured patients receive pharmacogenetic testing. We describe trends of single-gene pharmacogenetic testing in a US managed care population, and demographic and clinical characteristics of patients who received a test. Methods We leveraged a random sample of nearly 11 million patients from a data set of paid medical and pharmacy claims to identify patients with at least one claim indicating receipt of at least one of these single-gene pharmacogenetic tests: CYP2C19, CYP2D6, CYP2C9, VKORC1, UGT1A1, and HLA class 1 typing. Results From 1 January 2013 to 30 September 2017, 5712 patients received at least one pharmacogenetic test (55% female; mean age = 43 years). The median number of tests per patient was 3 (mean = 2.7, max = 12); 54% were processed through Managed Medicare/Medicaid, while 45% were processed through commercial insurance. The total number of pharmacogenetic tests received more than doubled from 2013 (n = 1955) to 2015 (n = 4192), then decreased slightly in 2016 (n = 3946). The most common test was CYP2C19 (n = 4719), and “long-term (current) use of other medications” was the most common diagnosis. Conclusion Pharmacogenetic testing through patients’ insurance was low, but more than doubled from 2013 to 2016. This study highlights the need to better understand utilization patterns and insurance coverage for pharmacogenetic tests.
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Affiliation(s)
- Heather D Anderson
- Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, USA.
| | - Kristy R Crooks
- Department of Pathology, University of Colorado School of Medicine, Aurora, CO, USA
| | - David P Kao
- Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Christina L Aquilante
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, USA
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15
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Kim WY, Kim HS, Oh M, Shin JG. Survey of physicians' views on the clinical implementation of pharmacogenomics-based personalized therapy. Transl Clin Pharmacol 2020; 28:34-42. [PMID: 32274379 PMCID: PMC7136078 DOI: 10.12793/tcp.2020.28.e6] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 03/31/2020] [Accepted: 03/31/2020] [Indexed: 12/11/2022] Open
Abstract
Despite quantitative increases and qualitative advances in pharmacogenomics (PGx) research, the clinical implementation of PGx-based personalized therapy has still been limited. The objective of this study was to assess physicians' self-reported knowledge of PGx-based personalized therapy, and to explore the most problematic and highest priority barriers preventing physicians from applying PGx into clinical practice under the Korean healthcare system. A 36-question survey was distributed to 53 physicians with various specialties in Korea. In the physicians' self-perceived knowledge, twenty-eight physicians (53%) reported a lack sufficient knowledge about PGx. The perceived largest barrier to clinical implementation of PGx was the high cost of PGx testing, followed by a lack of PGx education for healthcare providers or lack of clinical PGx experts. Physicians without clinical PGx experience or with indirect experience reported that the largest barrier to clinical implementation of PGx was the high cost of PGx testing, while physicians with clinical PGx experience pointed out that a lack of patients' education was the major concern, followed by a lack of PGx education for healthcare providers or lack of clinical PGx experts. The highest priority problem was reported to be a lack of actionable guidelines for drug selection and dosing using PGx. In conclusion, we should increase and expand extensive educational programs for healthcare providers and patients, and to develop and establish a clinical decision support systems for PGx-based personalized therapy in Korea.
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Affiliation(s)
- Woo-Young Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Korea
| | - Ho-Sook Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea.,Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Korea
| | - Minkyung Oh
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea
| | - Jae-Gook Shin
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Korea.,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea.,Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Korea
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