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Ingelman-Sundberg M, Lauschke VM. Individualized Pharmacotherapy Utilizing Genetic Biomarkers and Novel In Vitro Systems As Predictive Tools for Optimal Drug Development and Treatment. Drug Metab Dispos 2024; 52:467-475. [PMID: 38575185 DOI: 10.1124/dmd.123.001302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/15/2024] [Accepted: 03/12/2024] [Indexed: 04/06/2024] Open
Abstract
In the area of drug development and clinical pharmacotherapy, a profound understanding of the pharmacokinetics and potential adverse reactions associated with the drug under investigation is paramount. Essential to this endeavor is a comprehensive understanding about interindividual variations in absorption, distribution, metabolism, and excretion (ADME) genetics and the predictive capabilities of in vitro systems, shedding light on metabolite formation and the risk of adverse drug reactions (ADRs). Both the domains of pharmacogenomics and the advancement of in vitro systems are experiencing rapid expansion. Here we present an update on these burgeoning fields, providing an overview of their current status and illuminating potential future directions. SIGNIFICANCE STATEMENT: There is very rapid development in the area of pharmacogenomics and in vitro systems for predicting drug pharmacokinetics and risk for adverse drug reactions. We provide an update of the current status of pharmacogenomics and developed in vitro systems on these aspects aimed to achieve a better personalized pharmacotherapy.
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Affiliation(s)
- Magnus Ingelman-Sundberg
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (M.I.-S., V.M.L.); Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.); and University of Tübingen, Tübingen, Germany (V.M.L.)
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (M.I.-S., V.M.L.); Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.); and University of Tübingen, Tübingen, Germany (V.M.L.)
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Hashimi SR, Babatunde O, Alrajeh K, Dixon RJ, Okpeku A, Price ET. Pharmacogenomics in Clinical Practice for Older People. Sr Care Pharm 2024; 39:132-136. [PMID: 38528338 DOI: 10.4140/tcp.n.2024.132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Older people are over-represented among individuals that experience adverse drug reactions (ADR) and adverse drug events (ADE). Furthermore, older people are over-represented among individuals that visit emergency departments and are hospitalized because of ADRs. Moreover, older people are overrepresented among those who suffer ADEs while hospitalized. Finally, older people are among those most likely to have an anaphylactic response to prescription medications. Therefore, older people are prime candidates for efforts aimed at optimizing pharmacotherapeutic outcomes. Pharmacogenomics is an approach of using genetic data to optimize pharmacotherapeutic outcomes. Over the last two decades, pharmacogenomics grew from research initiatives into the current environment of pharmacogenomics implementation. Specifically, implementing pharmacogenomics into clinical settings or within health care systems has proven beneficial in optimizing pharmacotherapeutic outcomes. Therefore, pharmacists focused on optimizing pharmacotherapeutic outcomes for older people should be aware of the approaches to and resources available for implementing pharmacogenomics. KEY WORDS: Drug labeling biomarkers, Genes, Older adults, Pharmacogenomics.
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Affiliation(s)
- Syeda R Hashimi
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Olajumoke Babatunde
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Khalifa Alrajeh
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Richard J Dixon
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Aimalohi Okpeku
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Elvin T Price
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
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Chenchula S, Atal S, Uppugunduri CRS. A review of real-world evidence on preemptive pharmacogenomic testing for preventing adverse drug reactions: a reality for future health care. Pharmacogenomics J 2024; 24:9. [PMID: 38490995 PMCID: PMC10942860 DOI: 10.1038/s41397-024-00326-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 02/02/2024] [Accepted: 02/06/2024] [Indexed: 03/18/2024]
Abstract
Adverse drug reactions (ADRs) are a significant public health concern and a leading cause of hospitalization; they are estimated to be the fourth leading cause of death and increasing healthcare costs worldwide. Carrying a genetic variant could alter the efficacy and increase the risk of ADRs associated with a drug in a target population for commonly prescribed drugs. The use of pre-emptive pharmacogenetic/omic (PGx) testing can improve drug therapeutic efficacy, safety, and compliance by guiding the selection of drugs and/or dosages. In the present narrative review, we examined the current evidence of pre-emptive PGx testing-based treatment for the prevention of ADRs incidence and hospitalization or emergency department visits due to serious ADRs, thus improving patient safety. We then shared our perspective on the importance of preemptive PGx testing in clinical practice for the safe use of medicines and decreasing healthcare costs.
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Affiliation(s)
- Santenna Chenchula
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Bhopal, India
| | - Shubham Atal
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Bhopal, India
| | - Chakradhara Rao S Uppugunduri
- CANSEARCH Research Platform in Pediatric Oncology and Hematology, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Geneva, Switzerland.
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Meng Q, Cai Y, Zhou K, Xu F, Huo D, Xie H, Yu M, Zhang D, Chen X. DAPredict: a database for drug action phenotype prediction. Database (Oxford) 2024; 2024:baad095. [PMID: 38242684 PMCID: PMC10799211 DOI: 10.1093/database/baad095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/17/2023] [Accepted: 12/22/2023] [Indexed: 01/21/2024]
Abstract
The phenotypes of drug action, including therapeutic actions and adverse drug reactions (ADRs), are important indicators for evaluating the druggability of new drugs and repositioning the approved drugs. Here, we provide a user-friendly database, DAPredict (http://bio-bigdata.hrbmu.edu.cn/DAPredict), in which our novel original drug action phenotypes prediction algorithm (Yang,J., Zhang,D., Liu,L. et al. (2021) Computational drug repositioning based on the relationships between substructure-indication. Brief. Bioinformatics, 22, bbaa348) was embedded. Our algorithm integrates characteristics of chemical genomics and pharmacogenomics, breaking through the limitations that traditional drug development process based on phenotype cannot analyze the mechanism of drug action. Predicting phenotypes of drug action based on the local active structures of drugs and proteins can achieve more innovative drug discovery across drug categories and simultaneously evaluate drug efficacy and safety, rather than traditional one-by-one evaluation. DAPredict contains 305 981 predicted relationships between 1748 approved drugs and 454 ADRs, 83 117 predicted relationships between 1478 approved drugs and 178 Anatomical Therapeutic Chemicals (ATC). More importantly, DAPredict provides an online prediction tool, which researchers can use to predict the action phenotypic spectrum of more than 110 000 000 compounds (including about 168 000 natural products) and corresponding proteins to analyze their potential effect mechanisms. DAPredict can also help researchers obtain the phenotype-corresponding active structures for structural optimization of new drug candidates, making it easier to evaluate the druggability of new drug candidates and develop more innovative drugs across drug categories. Database URL: http://bio-bigdata.hrbmu.edu.cn/DAPredict/.
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Affiliation(s)
- Qingkang Meng
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Yiyang Cai
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Kun Zhou
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Fei Xu
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Diwei Huo
- The Fourth Affiliated Hospital of Harbin Medical University, Harbin 150081, China
| | - Hongbo Xie
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Meini Yu
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Denan Zhang
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Xiujie Chen
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
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Holck A, Asp M, Green H, Westrin Å, Reis M. CYP2D6 Genotyping and Inhibition as Predictors of Adverse Drug Reactions in Depressive Disorders. J Clin Psychiatry 2024; 85:23m14937. [PMID: 38236047 DOI: 10.4088/jcp.23m14937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Objective: The primary aim of this study was to examine the association between the different predicted phenotypes of the polymorphic CYP2D6 gene and the prevalence of adverse drug reactions in patients suffering from depressive disorders. The secondary aim was to investigate if comedication with CYP2D6 inhibitors resulted in more adverse drug reactions due to phenoconversion. Methods: Between January 2012 and December 2021, 415 patients with a depressive disorder and insufficient treatment response in secondary psychiatric care were included in the naturalistic observational study Genes, Depression, and Suicidality (GEN-DS). The patients were subjected to a semistructured interview and diagnosed according to DSM-IV. Patients were also required to complete the self-rating version of the UKU Side Effect Rating Scale. All patients were genotyped for CYP2D6 and assigned a corresponding predicted CYP2D6 phenotype. Results: Out of the 415 patients, 147 patients with available genotyping and UKU scale results were also prescribed 1 or more drugs metabolized by CYP2D6. We did not find any evidence of an effect of the predicted CYP2D6 phenotype on the total burden of adverse drug reactions or in any of the specific symptom domains as measured with the UKU scale among these patients. We also investigated if comedication with 1 or more substances that inhibited the effect of the CYP2D6 enzyme resulted in more reported adverse drug reactions due to phenoconversion. Even though the rate of phenotypic PMs increased from 13 to 38 patients, we did not find any support for increased adverse drug reactions in this group. Conclusions: We did not find that CYP2D6 phenotype could predict the occurrence of adverse drug reactions in patients with depressive disorders in this naturalistic setting. However, information about CYP2D6 genotype may still be important in antidepressant treatment for the selection of appropriate drugs, for dosing recommendations of certain medications, or when the patient is suffering from severe adverse reactions.
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Affiliation(s)
- Amanda Holck
- Department of Clinical Sciences Lund, Psychiatry, Lund University, Sweden
- Office of Psychiatry and Habilitation, Psychiatric Clinic Lund, Region Skåne, Sweden
- Amanda Holck, MD, Research Unit, Baravägen 1, SE-222 40 Lund, Sweden
| | - Marie Asp
- Department of Clinical Sciences Lund, Psychiatry, Lund University, Sweden
- Office of Psychiatry and Habilitation, Psychiatric Clinic Lund, Region Skåne, Sweden
| | - Henrik Green
- Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Division of Clinical Chemistry and Pharmacology, Linköping University, Linköping, Sweden
| | - Åsa Westrin
- Department of Clinical Sciences Lund, Psychiatry, Lund University, Sweden
- Office for Psychiatry and Habilitation, Psychiatry Research Skåne, Region Skåne, Sweden
| | - Margareta Reis
- Department of Biomedical and Clinical Sciences, Division of Clinical Chemistry and Pharmacology, Linköping University, Linköping, Sweden
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Petry N, Forest K, Wilke RA. The expanding role of HLA gene tests for predicting drug side effects. Am J Med Sci 2024; 367:14-20. [PMID: 37838157 DOI: 10.1016/j.amjms.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/09/2023] [Indexed: 10/16/2023]
Abstract
Adverse drug reactions can be either dose-dependent (Type A) or idiosyncratic (Type B). Type B adverse drug reactions tend to be extremely rare and difficult to predict. They are usually immune-mediated. Examples include severe skin reactions and drug-induced liver injury. For many commonly prescribed drugs (such as antibiotics), the risk of developing an idiosyncratic adverse drug reaction is influenced by variability in the human leukocyte antigen (HLA) genes. Because these HLA-mediated adverse drug reactions can be lethal, there is growing interest in defining which specific drug-gene relationships might benefit from pre-emptive HLA genotyping and automated clinical decision support. This review summarizes the literature for HLA-mediated adverse reactions linked to common drugs.
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Affiliation(s)
- Natasha Petry
- School of Pharmacy, North Dakota State University, Fargo, ND 58102, USA
| | - Kennedy Forest
- Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - Russell A Wilke
- Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA.
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Zhu X, Luo G, Zheng L. Update on HLA-B*15:02 allele associated with adverse drug reactions. Pharmacogenomics 2024; 25:97-111. [PMID: 38305022 DOI: 10.2217/pgs-2023-0173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Abstract
HLA alleles, part of the major histocompatibility complex, are strongly associated with adverse drug reactions (ADRs). This review focuses on HLA-B*15:02 and explores its association with ADRs in various ethnic populations and with different drugs, aiming to provide insights into the safe clinical use of drugs and minimize the occurrence of ADRs. Furthermore, the review explores the potential mechanisms by which HLA-B*15:02 may be associated with ADRs, aiming to gain new insights into drug modification and identification of haptens. In addition, it analyzes the frequency of the HLA-B*15:02, genotyping methods, cost-effectiveness and treatment measures for adverse reactions, thereby providing a theoretical basis for formulating clinical treatment plans.
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Affiliation(s)
- Xueting Zhu
- Clinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Guanghua Luo
- Clinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Lu Zheng
- Clinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, China
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8
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Mushiroda T. [Pharmacogenetic testing for prevention of severe cutaneous adverse drug reactions]. Nihon Yakurigaku Zasshi 2024; 159:90-95. [PMID: 38432925 DOI: 10.1254/fpj.23092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Pharmacogenetic testing benefits patients by predicting drug efficacy and risk of adverse drug reactions (ADRs). Pharmacogenetic biomarkers useful in clinical practice include drug-metabolizing enzyme and drug transporter genes and human leukocyte antigen (HLA) genes. HLA genes, which are important molecules involved in human immunity, have long been analyzed for associations with ADRs, such as skin rash, drug-induced liver injury, and agranulocytosis. HLA is composed of many genes, each of which has dozens of different types (alleles), and many HLA alleles associated with ADRs have been reported. The odds ratios in the association of HLA alleles range from approximately 5 to several thousand, indicating a very large impact on the risk of ADRs. Thus, HLA genetic testing prior to initiation of drug therapy is expected to make a significant contribution to avoiding ADRs, but to demonstrate the clinical utility, it is necessary to prospectively show the effects of medical interventions based on the test results. We conducted the GENCAT study, a prospective, multicenter, single-arm clinical trial to investigate the impact of a therapeutic intervention based on the HLA-A*31:01 test on the incidence of carbamazepine-induced skin rash. HLA-A*31:01-positive patients were treated with an alternative drug such as valproic acid, and the study showed an approximately 60% reduction in the incidence of carbamazepine-induced skin rash. It is expected that the genetic test, which has demonstrated clinical utility, will lead to the establishment of safer and more appropriate stratified medicine by reflecting the information in clinical practice guidelines.
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9
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Huang X, Hu B, Ye L, Li T, He L, Tan W, Yang G, Liu JP, Guo C. Pharmacogenomics and adverse effects of anti-infective drugs in children. Clin Exp Pharmacol Physiol 2024; 51:3-9. [PMID: 37840030 DOI: 10.1111/1440-1681.13830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 08/23/2023] [Accepted: 09/25/2023] [Indexed: 10/17/2023]
Abstract
Children, as a special group, have their own peculiarities in terms of individualized medication use compared to adults. Adverse drug reactions have been an important issue that needs to be addressed in the hope of safe medication use in children, and the occurrence of adverse drug reactions is partly due to genetic factors. Anti-infective drugs are widely used in children, and they have always been an important cause of the occurrence of adverse reactions in children. Pharmacogenomic technologies are becoming increasingly sophisticated, and there are now many guidelines describing the pharmacogenomics of anti-infective drugs. However, data from paediatric-based studies are scarce. This review provides a systematic review of the pharmacogenomics of anti-infective drugs recommended for gene-guided use in CPIC guidelines by exploring the relationship between pharmacogenetic frequencies and the incidence of adverse reactions, which will help inform future studies of individualized medication use in children.
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Affiliation(s)
- Xin Huang
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Biwen Hu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Ling Ye
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Tong Li
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Li He
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Wei Tan
- Department of Neonatology, Maternal & Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Guoping Yang
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jun-Ping Liu
- Institute of Aging Research, Hangzhou Normal University School of Medicine, Zhejiang, China
- Department of Immunology, Monash University Faculty of Medicine, Prahran, Victoria, Australia
| | - Chengxian Guo
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
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10
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Golubenko EO, Savelyeva MI, Sozaeva ZA, Korennaya VV, Poddubnaya IV, Valiev TT, Kondratenko SN, Ilyin MV. Predictive modeling of adverse drug reactions to tamoxifen therapy for breast cancer on base of pharmacogenomic testing. Drug Metab Pers Ther 2023; 38:339-347. [PMID: 37466310 DOI: 10.1515/dmpt-2023-0027] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 05/19/2023] [Indexed: 07/20/2023]
Abstract
OBJECTIVES The present study investigated the analysis of adverse drug reactions (ADRs) to tamoxifen (TAM) in breast cancer patients in relation to the carriage of genetic polymorphisms of genes encoding enzymes of CYP system and transporters of P-glycoprotein (Pg) and predictive models based on it. METHODS A total of 120 women with breast cancer taking adjuvant TAM were examined for the gene polymorphisms such as CYP2D6*4, CYP3A5*3, CYP2C9*2, CYP2C9*3, CYP2C19*2, CYP2C19*3 and ABCB1 (C3435T). Allelic variants were determined using the real-time polymerase chain reaction method. The research material was double sampling of buccal epithelium. Medical history data and extracts from case histories were used as sources of medical information, on the basis of which questionnaires specially created by us were filled out. RESULTS An associative analysis showed association with the development of ADRs to TAM indicating their clinical significance from different genetic polymorphisms of CYP2D6, CYP3A5, CYP2C9 and ABCB1. The complex associative analysis performed using mathematical modeling made it possible to build predictive risk models for the development of ADRs such as hot flashes, dyspepsia, bone pain, and asthenia. CONCLUSIONS Models that include both genetic and non-genetic determinants of ADRs of TAM may further improve the prediction of individual response to TAM.
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Affiliation(s)
- Ekaterina Olegovna Golubenko
- Department of Obstetrics and Gynecology, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of Russia, Moscow, Russia
| | - Marina Ivanovna Savelyeva
- Department of Therapy, Institute of Continuous Professional Education, Yaroslavl State Medical University of the Ministry of Health of Russia, Yaroslavl, Russia
| | - Zhannet Alimovna Sozaeva
- Research Institute of Molecular and Personalized Medicine, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of Russia, Moscow, Russia
| | - Vera Vyacheslavovna Korennaya
- Department of Obstetrics and Gynecology, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of Russia, Moscow, Russia
| | - Irina Vladimirovna Poddubnaya
- Oncology Department, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of Russia, Moscow, Russia
| | - Timur Tejmurazovich Valiev
- Department of Pediatric Oncology and Hematology Research Institute, Blokhin' National Medical Research Cancer Center of the Ministry of Health of Russia, Moscow, Russia
| | - Svetlana Nikolaevna Kondratenko
- Department of Clinical Pharmacology and Propaedeutics of Internal Diseases, Sechenov' First Moscow State Medical University of the Ministry of Health of Russia, Moscow, Russia
| | - Mikhail Vitalyevich Ilyin
- Department of Therapy, Institute of Continuous Professional Education, Yaroslavl State Medical University of the Ministry of Health of Russia, Yaroslavl, Russia
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Eadon MT, Rosenman MB, Zhang P, Fulton CR, Callaghan JT, Holmes AM, Levy KD, Gupta SK, Haas DM, Vuppalanchi R, Benson EA, Kreutz RP, Tillman EM, Shugg T, Pierson RC, Gufford BT, Pratt VM, Zang Y, Desta Z, Dexter PR, Skaar TC. The INGENIOUS trial: Impact of pharmacogenetic testing on adverse events in a pragmatic clinical trial. Pharmacogenomics J 2023; 23:169-177. [PMID: 37689822 PMCID: PMC10805517 DOI: 10.1038/s41397-023-00315-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 08/20/2023] [Accepted: 08/23/2023] [Indexed: 09/11/2023]
Abstract
Adverse drug events (ADEs) account for a significant mortality, morbidity, and cost burden. Pharmacogenetic testing has the potential to reduce ADEs and inefficacy. The objective of this INGENIOUS trial (NCT02297126) analysis was to determine whether conducting and reporting pharmacogenetic panel testing impacts ADE frequency. The trial was a pragmatic, randomized controlled clinical trial, adapted as a propensity matched analysis in individuals (N = 2612) receiving a new prescription for one or more of 26 pharmacogenetic-actionable drugs across a community safety-net and academic health system. The intervention was a pharmacogenetic testing panel for 26 drugs with dosage and selection recommendations returned to the health record. The primary outcome was occurrence of ADEs within 1 year, according to modified Common Terminology Criteria for Adverse Events (CTCAE). In the propensity-matched analysis, 16.1% of individuals experienced any ADE within 1-year. Serious ADEs (CTCAE level ≥ 3) occurred in 3.2% of individuals. When combining all 26 drugs, no significant difference was observed between the pharmacogenetic testing and control arms for any ADE (Odds ratio 0.96, 95% CI: 0.78-1.18), serious ADEs (OR: 0.91, 95% CI: 0.58-1.40), or mortality (OR: 0.60, 95% CI: 0.28-1.21). However, sub-group analyses revealed a reduction in serious ADEs and death in individuals who underwent pharmacogenotyping for aripiprazole and serotonin or serotonin-norepinephrine reuptake inhibitors (OR 0.34, 95% CI: 0.12-0.85). In conclusion, no change in overall ADEs was observed after pharmacogenetic testing. However, limitations incurred during INGENIOUS likely affected the results. Future studies may consider preemptive, rather than reactive, pharmacogenetic panel testing.
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Affiliation(s)
- Michael T Eadon
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Marc B Rosenman
- Ann & Robert H. Lurie Children's Hospital of Chicago, and Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Pengyue Zhang
- Indiana University School of Medicine, Department of Biostatistics and Heath Data Science, Indianapolis, IN, USA
| | - Cathy R Fulton
- Luddy School of Informatics, Computing, and Engineering, Indianapolis, IN, 46202, USA
| | - John T Callaghan
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Ann M Holmes
- Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, 46202, USA
| | - Kenneth D Levy
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Samir K Gupta
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - David M Haas
- Indiana University School of Medicine, Department of Obstetrics and Gynecology, Indianapolis, IN, USA
| | - Raj Vuppalanchi
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Eric A Benson
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Rolf P Kreutz
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Emma M Tillman
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Tyler Shugg
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Rebecca C Pierson
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Obstetrics and Gynecology, Indianapolis, IN, USA
- Community Fertility Specialty Care, Indianapolis, IN, USA
| | - Brandon T Gufford
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Victoria M Pratt
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
| | - Yong Zang
- Indiana University School of Medicine, Department of Biostatistics and Heath Data Science, Indianapolis, IN, USA
| | - Zeruesenay Desta
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Paul R Dexter
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Todd C Skaar
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA.
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA.
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12
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Thabet RH, Alshar BOS, Alabdallah DHS, Alhmoud NAZA, Alslameen STA, Thabet YRH. Structure-activity relationships andz interindividual variability of drug responses: pharmacogenomics with antimicrobial drugs as a paradigm. J Int Med Res 2023; 51:3000605231214065. [PMID: 38019107 PMCID: PMC10687969 DOI: 10.1177/03000605231214065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 10/11/2023] [Indexed: 11/30/2023] Open
Abstract
Adverse drug reactions represent a major health burden because they cause notable patient morbidity and mortality. From this viewpoint, several strategies have been developed to prevent or reduce adverse drug reactions. One such strategy is the use of pharmacogenomics. Interindividual variability in drug response and adverse effects is mainly attributable to genetic variation in enzymes such as sulfotransferases and cytochrome P450s. The current narrative review discusses the relationship between the structure and activity of drugs. Specifically, the activity of drugs can be increased and/or their adverse effects can be reduced by altering specific positions in their structures.
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Affiliation(s)
- Romany H. Thabet
- Department of Basic Medical Sciences, Faculty of Medicine, Aqaba Medical Sciences University, Aqaba, Jordan
- Department of Pharmacology, Faculty of Medicine, Assiut University, Assiut, Egypt
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13
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De Carmo Campos A, Cardoso ML, Vicente A. Are we PREPAREd? Concerning the "PREemptive Pharmacogenomics Testing for Preventing Adverse Drug Reactions (PREPARE) Study". ACTA MEDICA PORT 2023; 36:689-690. [PMID: 37788651 DOI: 10.20344/amp.20170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/31/2023] [Indexed: 10/05/2023]
Affiliation(s)
- Ana De Carmo Campos
- Serviço de Medicina III. Hospital Pulido Valente. Centro Hospitalar Universitário de Lisboa Norte. Lisboa; Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis. Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA). Lisboa. Portugal
| | - Maria Luís Cardoso
- Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis. Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA). Lisboa; BioISI, Instituto de Biossistemas e Ciências Integrativas. Faculdade de Ciências da Universidade de Lisboa. Lisboa. Portugal
| | - Astrid Vicente
- Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis. Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA). Lisboa; BioISI, Instituto de Biossistemas e Ciências Integrativas. Faculdade de Ciências da Universidade de Lisboa. Lisboa. Portugal
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14
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Ramakrishnan K, Kesavan R, Venkatraman S, Narayan SK, Kumar RR, Shewade D. Impact of CYP2C9*2 and *3 polymorphisms on valproate-associated adverse drug reactions in individuals living with epilepsy: a case-control study. Per Med 2023; 20:417-424. [PMID: 37811569 DOI: 10.2217/pme-2023-0033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Epilepsy is characterized by repeated seizure activity. Valproate, a commonly used antiepileptic drug, shows large inter-individual variation in plasma valproic levels and causes many adverse drug reactions. Aim: To find the influence of CYP2C9*2 and *3 polymorphisms on valproate-associated adverse drug reactions and plasma valproic acid levels in people with epilepsy. Methods: We recruited 158 people with epilepsy (79 cases and 79 controls) from an epilepsy clinic. Steady-state plasma valproic acid levels were measured using liquid chromatography-mass spectrometry and genotyping of CYP2C9 variants was carried out with helps of RT-PCR. Results: The presence of a mutant heterozygous genotype showed an odds ratio (OR) of 2.82 (95% CI: 1.10-7.24) and the adjusted OR was 5.39 (95% CI: 1.69-17.16). There was no significant difference in steady-state plasma valproate concentration between genotypes. Conclusion: The presence of a mutant heterozygous CYP2C9 genotype possesses five-times the risk of developing adverse drug reactions to valproate in people with epilepsy.
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Camargo AC, Matte U, Botton MR. Identification of adverse drug reactions that may be related to pharmacogenetics in a public hospital in the South of Brazil. Expert Opin Drug Saf 2023; 22:621-627. [PMID: 36794346 DOI: 10.1080/14740338.2023.2181337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 01/16/2023] [Indexed: 02/17/2023]
Abstract
BACKGROUND Adverse drug reactions (ADRs) are of great concern in clinical practice. Pharmacogenetics can identify individuals and groups at increased risk of developing ADRs, enabling treatment adjustments to improve outcomes. The study aimed to determine the prevalence of ADRs related to drugs with pharmacogenetic evidence level 1A in a public hospital in Southern Brazil. RESEARCH DESIGN AND METHODS ADR information was collected from the pharmaceutical registries from 2017 to 2019. Drugs that have pharmacogenetic evidence level 1A were selected. Public genomic databases were used to estimate the genotypes/phenotypes frequency. RESULTS During the period, 585 ADRs were spontaneously notified. Most were moderate (76.3%), whereas severe reactions accounted for 33.8%. Additionally, 109 ADRs caused by 41 drugs presented pharmacogenetic evidence level 1A, representing 18.6% of all notified reactions. Depending on the drug-gene pair, up to 35% of individuals from Southern Brazil could be at risk of developing ADRs. CONCLUSIONS Relevant amount of ADRs were related to drugs with pharmacogenetic recommendations on drug labels and/or guidelines. Genetic information could guide and improve clinical outcomes, decreasing ADR incidence and reducing treatment costs.
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Affiliation(s)
- Amanda C Camargo
- Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Cells, Tissues and Genes Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Ursula Matte
- Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Cells, Tissues and Genes Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Mariana R Botton
- Cells, Tissues and Genes Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Transplant Immunology and Personalized Medicine Unit, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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16
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Maghari S, Gallo T, Rivas S, German A, Nguyen Le MQ, Abbaszadegan H, Zubriski MA, Heise CW, Landas ND. Prescription medications with actionable pharmacogenomic recommendations in Veterans Health Administration patients. Pharmacogenomics 2023; 24:501-508. [PMID: 37435738 DOI: 10.2217/pgs-2023-0018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2023] Open
Abstract
Aim: To evaluate the prevalence of medications with actionable pharmacogenomic (PGx) safety and efficacy recommendations in patients receiving care from the Veterans Health Administration. Materials & methods: Outpatient prescription data from 2011 to 2021 and any documented adverse drug reactions (ADRs) were reviewed for those who received PGx testing at one Veterans Administration location between November 2019 and October 2021. Results: Among the reviewed prescriptions, 381 (32.8%) were associated with an actionable recommendation based on the Clinical Pharmacogenetics Implementation Consortium (CPIC) prescribing guidelines, with 205 (17.7%) for efficacy concerns and 176 (15.2%) for safety concerns. Among those with a documented ADR for a PGx-impacted medication, 39.1% had PGx results that aligned with CPIC recommendations. Conclusion: Medications with actionable PGx recommendations for safety and efficacy concerns are received with similar frequency, and most patients who have undergone PGx testing at the Phoenix Veterans Administration have received medications that may be impacted by PGx testing.
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Affiliation(s)
- Saba Maghari
- Phoenix VA Health Care System, Phoenix, AZ 85012, USA
| | - Tyler Gallo
- University of Arizona, College of Medicine-Phoenix, Phoenix, AZ 85004, USA
| | | | | | | | | | | | - Craig W Heise
- University of Arizona, College of Medicine-Phoenix, Phoenix, AZ 85004, USA
| | - Noel D Landas
- Phoenix VA Health Care System, Phoenix, AZ 85012, USA
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Jin J, Zhong XB. Epigenetic Mechanisms Contribute to Intraindividual Variations of Drug Metabolism Mediated by Cytochrome P450 Enzymes. Drug Metab Dispos 2023; 51:672-684. [PMID: 36973001 PMCID: PMC10197210 DOI: 10.1124/dmd.122.001007] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 02/24/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023] Open
Abstract
Significant interindividual and intraindividual variations on cytochrome P450 (CYP)-mediated drug metabolism exist in the general population globally. Genetic polymorphisms are one of the major contribution factors for interindividual variations, but epigenetic mechanisms mainly contribute to intraindividual variations, including DNA methylation, histone modifications, microRNAs, and long non-coding RNAs. The current review provides analysis of advanced knowledge in the last decade on contributions of epigenetic mechanisms to intraindividual variations on CYP-mediated drug metabolism in several situations, including (1) ontogeny, the developmental changes of CYP expression in individuals from neonates to adults; (2) increased activities of CYP enzymes induced by drug treatment; (3) increased activities of CYP enzymes in adult ages induced by drug treatment at neonate ages; and (4) decreased activities of CYP enzymes in individuals with drug-induced liver injury (DILI). Furthermore, current challenges, knowledge gaps, and future perspective of the epigenetic mechanisms in development of CYP pharmacoepigenetics are discussed. In conclusion, epigenetic mechanisms have been proven to contribute to intraindividual variations of drug metabolism mediated by CYP enzymes in age development, drug induction, and DILI conditions. The knowledge has helped understanding how intraindividual variation are generated. Future studies are needed to develop CYP-based pharmacoepigenetics to guide clinical applications for precision medicine with improved therapeutic efficacy and reduced risk of adverse drug reactions and toxicity. SIGNIFICANCE STATEMENT: Understanding epigenetic mechanisms in contribution to intraindividual variations of CYP-mediated drug metabolism may help to develop CYP-based pharmacoepigenetics for precision medicine to improve therapeutic efficacy and reduce adverse drug reactions and toxicity for drugs metabolized by CYP enzymes.
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Affiliation(s)
- Jing Jin
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Connecticut, Storrs, Connecticut
| | - Xiao-Bo Zhong
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Connecticut, Storrs, Connecticut
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18
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Reeves AA, Hopefl R, Deb S. Evaluation of pharmacogenomic evidence for drugs related to ADME genes in CPIC database. Drug Metab Pers Ther 2023; 38:65-78. [PMID: 36257916 DOI: 10.1515/dmpt-2022-0123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 08/19/2022] [Indexed: 02/21/2023]
Abstract
OBJECTIVES Clinical Pharmacogenetics Implementation Consortium (CPIC) is a platform that advances the pharmacogenomics (PGx) practice by developing evidence-based guidelines. The purpose of this study was to analyze the CPIC database for ADME related genes and their corresponding drugs, and evidence level for drug-gene pairs; and to determine the presence of these drug-gene pairs in the highest mortality diseases in the United States. METHODS CPIC database was evaluated for drug-gene pairs related to absorption, distribution, metabolism, and excretion (ADME) properties. National Vital Statistics from Centers for Disease Control and Prevention was used to identify the diseases with the highest mortality. CPIC levels are assigned to different drug-gene pairs based on varying levels of evidence as either A, B, C, or D. All drug-gene pairs assigned with A/B, B/C, or C/D mixed levels were excluded from this study. A stepwise exclusion process was followed to determine the prevalence of various ADME drug-gene pairs among phase I/II enzymes or transporters and stratify the drug-gene pairs relevant to different disease conditions most commonly responsible for death in the United States. RESULTS From a total of 442 drug-gene pairs in the CPIC database, after exclusion of 86 drug-gene pairs with levels A/B, B/C, or C/D, and 211 non-ADME related genes, 145 ADME related drug-gene pairs resulted. From the 145 ADME related drug-genes pairs, the following were the distribution of levels: Level A: 43 (30%), Level B: 22 (15%), Level C: 59 (41%), Level D: 21 (14%). The most prevalent ADME gene with CPIC level A classification was cytochrome P450 2C9 (CYP2C9) (26%) and overall, the most prevalent ADME gene in the CPIC database was CYP2D6 (30%). The most prevalent diseases related to the CPIC evidence related drugs were cancer and depression. CONCLUSIONS We found that there is an abundance of ADME related genes in the CPIC database, including in the high mortality disease states of cancer and depression. There is a differential level of pharmacogenomic evidence in drug-gene pairs enlisted in CPIC where levels A and D having the greatest number of drug-gene pairs. CYP2D6 was the most common ADME gene with CPIC evidence for drug-gene pairs. Pharmacogenomic applications of CPIC evidence can be leveraged to individualize patient therapy and lower adverse effect events.
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Affiliation(s)
- Anthony Allen Reeves
- Department of Pharmaceutical Sciences, College of Pharmacy, Larkin University, Miami, FL, USA
| | - Robert Hopefl
- Department of Pharmaceutical Sciences, College of Pharmacy, Larkin University, Miami, FL, USA
| | - Subrata Deb
- Department of Pharmaceutical Sciences, College of Pharmacy, Larkin University, Miami, FL, USA
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19
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Uner OC, Kuru HI, Cinbis RG, Tastan O, Cicek AE. DeepSide: A Deep Learning Approach for Drug Side Effect Prediction. IEEE/ACM Trans Comput Biol Bioinform 2023; 20:330-339. [PMID: 34995191 DOI: 10.1109/tcbb.2022.3141103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Drug failures due to unforeseen adverse effects at clinical trials pose health risks for the participants and lead to substantial financial losses. Side effect prediction algorithms have the potential to guide the drug design process. LINCS L1000 dataset provides a vast resource of cell line gene expression data perturbed by different drugs and creates a knowledge base for context specific features. The state-of-the-art approach that aims at using context specific information relies on only the high-quality experiments in LINCS L1000 and discards a large portion of the experiments. In this study, our goal is to boost the prediction performance by utilizing this data to its full extent. We experiment with 5 deep learning architectures. We find that a multi-modal architecture produces the best predictive performance among multi-layer perceptron-based architectures when drug chemical structure (CS), and the full set of drug perturbed gene expression profiles (GEX) are used as modalities. Overall, we observe that the CS is more informative than the GEX. A convolutional neural network-based model that uses only SMILES string representation of the drugs achieves the best results and provides 13.0% macro-AUC and 3.1% micro-AUC improvements over the state-of-the-art. We also show that the model is able to predict side effect-drug pairs that are reported in the literature but was missing in the ground truth side effect dataset. DeepSide is available at http://github.com/OnurUner/DeepSide.
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20
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Daly AK. Pharmacogenetics of the cytochromes P450: Selected pharmacological and toxicological aspects. Adv Pharmacol 2022; 95:49-72. [PMID: 35953163 DOI: 10.1016/bs.apha.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
With the availability of detailed genomic data on all 57 human cytochrome P450 genes, it is clear that there is substantial variability in gene product activity with functionally significant polymorphisms reported across almost all isoforms. This article is concerned mainly with 13 P450 isoforms of particular relevance to xenobiotic metabolism. After brief review of the extent of polymorphism in each, the relevance of selected P450 isoforms to both adverse drug reaction and disease susceptibility is considered in detail. Bleeding due to warfarin and other coumarin anticoagulants is considered as an example of a type A reaction with idiosyncratic adverse drug reactions affecting the liver and skin as type B. It is clear that CYP2C9 variants contribute significantly to warfarin dose requirement and also risk of bleeding, with a minor contribution from CYP4F2. In the case of idiosyncratic adverse drug reactions, CYP2B6 variants appear relevant to both liver and skin reactions to several drugs with CYP2C9 variants also relevant to phenytoin-related skin rash. The relevance of P450 genotype to disease susceptibility is also considered but detailed genetic studies now suggest that CYP2A6 is the only P450 relevant to risk of lung cancer with alleles associated with low or absent activity clearly protective against disease. Other cytochrome P450 genotypes are generally not predictors for risk of cancer or other complex disease development.
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Affiliation(s)
- Ann K Daly
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, United Kingdom.
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21
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Migliorati JM, Liu S, Liu A, Gogate A, Nair S, Bahal R, Rasmussen TP, Manautou JE, Zhong XB. Absorption, Distribution, Metabolism, and Excretion of US Food and Drug Administration-Approved Antisense Oligonucleotide Drugs. Drug Metab Dispos 2022; 50:888-897. [PMID: 35221287 PMCID: PMC11022858 DOI: 10.1124/dmd.121.000417] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 02/22/2022] [Indexed: 04/19/2024] Open
Abstract
Absorption, distribution, metabolism, and excretion (ADME) are the key biologic processes for determination of a drug's pharmacokinetic parameters, which have direct impacts on efficacy and adverse drug reactions (ADRs). The chemical structures, dosage forms, and sites and routes of administration are the principal determinants of ADME profiles and consequent impacts on their efficacy and ADRs. Newly developed large molecule biologic antisense oligonucleotide (ASO) drugs have completely unique ADME that is not fully defined. ASO-based drugs are single-stranded synthetic antisense nucleic acids with diverse modes of drug actions from induction of mRNA degradation, exon skipping and restoration, and interactions with proteins. ASO drugs have a great potential to treat certain human diseases that have remained untreatable with small molecule-based drugs. The ADME of ASO drugs contributes to their unique set of ADRs and toxicity. In this review, to better understand their ADME, the 10 US Food and Drug Administration (FDA)-approved ASO drugs were selected: fomivirsen, pegaptanib, mipomersen, nusinersen, inotersen, defibrotide, eteplirsen, golodirsen, viltolarsen, and casimersen. A meta-analysis was conducted on their formulation, dosage, sites of administration, local and systematic distribution, metabolism, degradation, and excretion. Membrane permeabilization through endocytosis and nucleolytic degradation by endonucleases and exonucleases are major ADME features of the ASO drugs that differ from small-molecule drugs. The information summarized here provides comprehensive ADME characteristics of FDA-approved ASO drugs, leading to a better understanding of their therapeutic efficacy and their potential ADRs and toxicity. Numerous knowledge gaps, particularly on cellular uptake and subcellular trafficking and distribution, are identified, and future perspectives and directions are discussed. SIGNIFICANCE STATEMENT: Through a systematic analysis of the existing information of absorption, distribution, metabolism, and excretion (ADME) parameters for 10 US Food and Drug Administration (FDA)-approved antisense oligonucleotide (ASO) drugs, this review provides an overall view of the unique ADME characteristics of ASO drugs, which are distinct from small chemical drug ADME. This knowledge is useful for discovery and development of new ASO drugs as well as clinical use of current FDA-approved ASO drugs.
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Affiliation(s)
- Julia M Migliorati
- Department of Pharmaceutical Sciences, School of Pharmacy (J.M.M., S.L., A.L., A.G., R.B., T.P.R., J.E.M., X.Z.) and Department of Molecular and Cell Biology (S.N.), University of Connecticut, Storrs, Connecticut
| | - Sunna Liu
- Department of Pharmaceutical Sciences, School of Pharmacy (J.M.M., S.L., A.L., A.G., R.B., T.P.R., J.E.M., X.Z.) and Department of Molecular and Cell Biology (S.N.), University of Connecticut, Storrs, Connecticut
| | - Anna Liu
- Department of Pharmaceutical Sciences, School of Pharmacy (J.M.M., S.L., A.L., A.G., R.B., T.P.R., J.E.M., X.Z.) and Department of Molecular and Cell Biology (S.N.), University of Connecticut, Storrs, Connecticut
| | - Anagha Gogate
- Department of Pharmaceutical Sciences, School of Pharmacy (J.M.M., S.L., A.L., A.G., R.B., T.P.R., J.E.M., X.Z.) and Department of Molecular and Cell Biology (S.N.), University of Connecticut, Storrs, Connecticut
| | - Sreenidhi Nair
- Department of Pharmaceutical Sciences, School of Pharmacy (J.M.M., S.L., A.L., A.G., R.B., T.P.R., J.E.M., X.Z.) and Department of Molecular and Cell Biology (S.N.), University of Connecticut, Storrs, Connecticut
| | - Raman Bahal
- Department of Pharmaceutical Sciences, School of Pharmacy (J.M.M., S.L., A.L., A.G., R.B., T.P.R., J.E.M., X.Z.) and Department of Molecular and Cell Biology (S.N.), University of Connecticut, Storrs, Connecticut
| | - Theodore P Rasmussen
- Department of Pharmaceutical Sciences, School of Pharmacy (J.M.M., S.L., A.L., A.G., R.B., T.P.R., J.E.M., X.Z.) and Department of Molecular and Cell Biology (S.N.), University of Connecticut, Storrs, Connecticut
| | - José E Manautou
- Department of Pharmaceutical Sciences, School of Pharmacy (J.M.M., S.L., A.L., A.G., R.B., T.P.R., J.E.M., X.Z.) and Department of Molecular and Cell Biology (S.N.), University of Connecticut, Storrs, Connecticut
| | - Xiao-Bo Zhong
- Department of Pharmaceutical Sciences, School of Pharmacy (J.M.M., S.L., A.L., A.G., R.B., T.P.R., J.E.M., X.Z.) and Department of Molecular and Cell Biology (S.N.), University of Connecticut, Storrs, Connecticut
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22
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Pozzi E, Alberti P. Management of Side Effects in the Personalized Medicine Era: Chemotherapy-Induced Peripheral Neurotoxicity. Methods Mol Biol 2022; 2547:95-140. [PMID: 36068462 DOI: 10.1007/978-1-0716-2573-6_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Pharmacogenomics is a powerful tool to predict individual response to treatment, in order to personalize therapy, and it has been explored extensively in oncology practice. Not only efficacy on the malignant disease has been investigated but also the possibility to predict adverse effects due to drug administration. Chemotherapy-induced peripheral neurotoxicity (CIPN) is one of those. This potentially severe and long-lasting/permanent side effect of commonly administered anticancer drugs can severely impair quality of life (QoL) in a large cohort of long survival patients. So far, a pharmacogenomics-based approach in CIPN regard has been quite delusive, making a methodological improvement warranted in this field of interest: even the most refined genetic analysis cannot be effective if not applied correctly. Here we try to devise why it is so, suggesting how THE "bench-side" (pharmacogenomics) might benefit from and should cooperate with THE "bed-side" (clinimetrics), in order to make genetic profiling effective if applied to CIPN.
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Affiliation(s)
- Eleonora Pozzi
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- NeuroMI (Milan Center for Neuroscience), Milan, Italy
| | - Paola Alberti
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
- NeuroMI (Milan Center for Neuroscience), Milan, Italy.
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Cacabelos R, Naidoo V, Corzo L, Cacabelos N, Carril JC. Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions. Int J Mol Sci 2021; 22:ijms222413302. [PMID: 34948113 PMCID: PMC8704264 DOI: 10.3390/ijms222413302] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 02/06/2023] Open
Abstract
Adverse drug reactions (ADRs) rank as one of the top 10 leading causes of death and illness in developed countries. ADRs show differential features depending upon genotype, age, sex, race, pathology, drug category, route of administration, and drug–drug interactions. Pharmacogenomics (PGx) provides the physician effective clues for optimizing drug efficacy and safety in major problems of health such as cardiovascular disease and associated disorders, cancer and brain disorders. Important aspects to be considered are also the impact of immunopharmacogenomics in cutaneous ADRs as well as the influence of genomic factors associated with COVID-19 and vaccination strategies. Major limitations for the routine use of PGx procedures for ADRs prevention are the lack of education and training in physicians and pharmacists, poor characterization of drug-related PGx, unspecific biomarkers of drug efficacy and toxicity, cost-effectiveness, administrative problems in health organizations, and insufficient regulation for the generalized use of PGx in the clinical setting. The implementation of PGx requires: (i) education of physicians and all other parties involved in the use and benefits of PGx; (ii) prospective studies to demonstrate the benefits of PGx genotyping; (iii) standardization of PGx procedures and development of clinical guidelines; (iv) NGS and microarrays to cover genes with high PGx potential; and (v) new regulations for PGx-related drug development and PGx drug labelling.
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Affiliation(s)
- Ramón Cacabelos
- Department of Genomic Medicine, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain
- Correspondence: ; Tel.: +34-981-780-505
| | - Vinogran Naidoo
- Department of Neuroscience, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
| | - Lola Corzo
- Department of Medical Biochemistry, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
| | - Natalia Cacabelos
- Department of Medical Documentation, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
| | - Juan C. Carril
- Departments of Genomics and Pharmacogenomics, International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Bergondo, 15165 Corunna, Spain;
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24
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Aslam S, Ameer S, Shabana NA, Ahmed M. Pharmacogenetics of induction therapy-related toxicities in childhood acute lymphoblastic leukemia patients treated with UKALL 2003 protocol. Sci Rep 2021; 11:23757. [PMID: 34887513 PMCID: PMC8660848 DOI: 10.1038/s41598-021-03208-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 11/30/2021] [Indexed: 11/17/2022] Open
Abstract
Chemotherapy related toxicities have been the major factor limiting the success of acute lymphoblastic leukemia (ALL) induction therapy. Several factors, including the pharmacogenetics of asparaginase and anthracyclines, could contribute to difference in treatment outcome in ALL. We investigated the significance of variations in genes involved in hepatic and cardiac toxicity in acute lymphoblastic leukemia (ALL). Genotyping of SOD2 (rs4880), PNPL3 (rs738409) and ABCC1 (rs4148350), CBR1 (rs9024) and ABCG2 (rs2231142) was performed by Tetra-ARMS PCR-based technique to evaluate the genotype-phenotype correlation. Our results showed only minor allele G of SOD2 rs4880 increase the risk of hepatic toxicity [OR 2.63 (1.42-4.84), P = < 0.05] while minor alleles of other SNPs showed protective impact. However, the genetic contrast analysis showed a recessive form of SOD2 rs4880 [OR 7.82 (3.86-15.85), P = < 0.05] and PNPLA3 I148M [OR 5.82 (3.43-9.87), P = < 0.05] variants whereas dominant genotype of ABCC1 rs4148350 [OR 2.52 (1.55-4.10), P = < 0.05] significantly predisposes hepatotoxicity. Furthermore, heterozygous form of ABCG2 rs2231142 [OR 5.25 (1.84-14.95), P = < 0.05] and recessive genotype of 3'UTR variant CBR1 rs9024 [OR 2.31 (1.31-4.07), P = < 0.05] were strongly associated with cardiotoxicity. The information obtained from these genetic variations could offer biomarkers for individualization of therapeutic intervention in ALL.
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Affiliation(s)
- Sara Aslam
- Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
| | - Sonia Ameer
- Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan
| | - N A Shabana
- Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
| | - Mehboob Ahmed
- Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan
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Jeiziner C, Wernli U, Suter K, Hersberger KE, Meyer zu Schwabedissen HE. HLA-associated adverse drug reactions - scoping review. Clin Transl Sci 2021; 14:1648-1658. [PMID: 34105877 PMCID: PMC8504845 DOI: 10.1111/cts.13062] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/14/2021] [Accepted: 04/16/2021] [Indexed: 01/18/2023] Open
Abstract
Alleles of the human leukocyte antigen (HLA) system have been associated with the occurrence of idiosyncratic adverse drug reactions (ADRs). Accordingly, it is assumed that pre-emptive testing for the presence of certain HLA alleles (HLA-typing) could prevent these ADRs in carriers. In order to perceive the current evidence for HLA-associated ADRs, we conducted a scoping review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The literature search on PubMed and on Embase was carried out on the July 8 and 9, 2020, respectively. To be included in the scoping review, the studies had to investigate an association of any HLA-associated ADR with any small molecule approved and available on the Swiss market. We considered English and German primary literature published since 2002. A total of 149 studies were included, whereof most were retrospective, whereas one was a prospective randomized controlled trial. The majority of the studies (n = 33) described the association of HLA-B*15:02 with carbamazepine. It was not possible to directly compare the studies, as they were too heterogeneous in terms of the ADR definition, the HLA alleles, the number of participants, and the study types. Therefore, we summarized the results in a descriptive manner. Even if an interpretation of the outcomes remains open, the descriptive overview revealed the prevailing complexity and uncertainty in the field. For the future, consistent definitions on the different phenotypes need to be established and applied and the reporting of association studies should follow a harmonized structure.
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Affiliation(s)
- Chiara Jeiziner
- Pharmaceutical Care Research GroupDepartment of Pharmaceutical SciencesUniversity of BaselBaselSwitzerland
| | - Ursina Wernli
- Pharmaceutical Care Research GroupDepartment of Pharmaceutical SciencesUniversity of BaselBaselSwitzerland
| | - Katja Suter
- European Center of Pharmaceutical MedicineFaculty of MedicineUniversity of BaselBaselSwitzerland
| | - Kurt E. Hersberger
- Pharmaceutical Care Research GroupDepartment of Pharmaceutical SciencesUniversity of BaselBaselSwitzerland
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Affiliation(s)
- Sara L Van Driest
- Departments of Pediatrics and Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ingolf Cascorbi
- Institute of Experimental and Clinical Pharmacology, University Hospital Schleswig-Holstein, Campus Kiel, Germany
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Cura Y, Pérez Ramírez C, Sánchez Martín A, Martínez Martínez F, Calleja Hernández MÁ, Ramírez Tortosa MDC, Jiménez Morales A. Genetic polymorphisms on the effectiveness or safety of breast cancer treatment: Clinical relevance and future perspectives. Mutat Res Rev Mutat Res 2021; 788:108391. [PMID: 34893156 DOI: 10.1016/j.mrrev.2021.108391] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 06/14/2023]
Abstract
Breast cancer (BC) is the most frequent neoplasm and one of the main causes of death in women. The pharmacological treatment of BC consists of hormonal therapy, chemotherapeutic agents and targeted therapy. The response to BC therapy is highly variable in clinical practice. This variability can be explained by the presence of genetic polymorphisms in genes involved in the pharmacokinetics, pharmacodynamics or immune response of patients. The abundant evidence of associations between low-activity alleles CYP2D6*3, *4, *5, *6, *10 and *41 and poor results with tamoxifen therapy, and between DPYD gene polymorphisms rs3918290, rs55886062, rs67376798 and rs75017182 and increased risk of toxicity to fluoropyrimidine therapy, justify the existence of clinical pharmacogenetic guidelines. The NQO1 rs1800566 polymorphism is related to poorer results in BC therapy with chemotherapy agents. The polymorphism rs1695 of the GSTP1 gene has been associated with the effectiveness and toxicity of fluorouracil, cyclophosphamide and epirubicin therapy. Finally, the HLA-DQA1*02:01 allele is significantly associated with the occurrence of liver toxicity events in patients receiving lapatinib. There is moderate evidence to support the aforementioned associations and, therefore, a high probability of these being considered as future predictive genetic biomarkers of response. However, further studies are required to reinforce or clarify their clinical relevance.
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Affiliation(s)
- Yasmin Cura
- Pharmacy Service, Pharmacogenetics Unit, University Hospital Virgen de las Nieves, Granada, Spain.
| | - Cristina Pérez Ramírez
- Pharmacy Service, Pharmacogenetics Unit, University Hospital Virgen Macarena, Seville, Spain.
| | - Almudena Sánchez Martín
- Pharmacy Service, Pharmacogenetics Unit, University Hospital Virgen de las Nieves, Granada, Spain.
| | - Fernando Martínez Martínez
- Department of Pharmacy and Pharmaceutical Technology, Faculty of Pharmacy, University of Granada, Granada, Spain.
| | | | | | - Alberto Jiménez Morales
- Pharmacy Service, Pharmacogenetics Unit, University Hospital Virgen de las Nieves, Granada, Spain.
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Abdel-Wahab N, Diab A, Yu RK, Futreal A, Criswell LA, Tayar JH, Dadu R, Shannon V, Shete SS, Suarez-Almazor ME. Genetic determinants of immune-related adverse events in patients with melanoma receiving immune checkpoint inhibitors. Cancer Immunol Immunother 2021; 70:1939-1949. [PMID: 33409738 PMCID: PMC10992432 DOI: 10.1007/s00262-020-02797-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 11/08/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) can cause profound immune-related adverse events (irAEs). The host genetic background is likely to play a role in irAE susceptibility because the presentation of toxicity varies among patients and many do not develop irAEs despite continued ICI use. We sought to identify potential genetic markers conferring risk for irAEs. METHODS We conducted a pilot exploratory study in 89 melanoma patients who received ICIs (44 with irAEs, and 45 without irAEs after at least 1 year from starting treatment). Genotyping was performed using the Infinium Multi-Ethnic Global-8 v1.0 Bead Chip. The genotype data were extracted using PLINK (v1.90b3.34) and processed for quality control. Population structure-based clustering was carried out using IBS matrix, pairwise population concordance test (p < 1 × 10-3), and phenotype distribution for all study participants, resulting in seven population structure-based clusters. In the analytical stage, 599,931 variants in autosomal chromosomes were included for the association study. The association test was performed using an additive genetic model with exact logistic regression, adjusted for age, sex, and population cluster. RESULTS A total of 30 variants or single-nucleotide polymorphisms with p < 1 × 10-4 were identified; 12 were associated with an increased risk of irAEs, and the remaining 18 were associated with a decreased risk. Overall, nine of the identified single-nucleotide polymorphisms mapped to eight unique genes that have been associated with autoimmunity or inflammatory diseases. CONCLUSION Several genetic variants associated with irAEs were identified. Additional larger studies are needed to validate these findings and establish their potential functional relevance.
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Affiliation(s)
- Noha Abdel-Wahab
- Section of Rheumatology and Clinical Immunology, Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Rheumatology and Rehabilitation, Faculty of Medicine, Assiut University Hospitals, Assiut, Egypt
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Adi Diab
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert K Yu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lindsey A Criswell
- Russell/Engleman Rheumatology Research Center, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Jean H Tayar
- Section of Rheumatology and Clinical Immunology, Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ramona Dadu
- Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vickie Shannon
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Maria E Suarez-Almazor
- Section of Rheumatology and Clinical Immunology, Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Zheng NS, Stone CA, Jiang L, Shaffer CM, Kerchberger VE, Chung CP, Feng Q, Cox NJ, Stein CM, Roden DM, Denny JC, Phillips EJ, Wei WQ. High-throughput framework for genetic analyses of adverse drug reactions using electronic health records. PLoS Genet 2021; 17:e1009593. [PMID: 34061827 PMCID: PMC8195357 DOI: 10.1371/journal.pgen.1009593] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 06/11/2021] [Accepted: 05/10/2021] [Indexed: 11/30/2022] Open
Abstract
Understanding the contribution of genetic variation to drug response can improve the delivery of precision medicine. However, genome-wide association studies (GWAS) for drug response are uncommon and are often hindered by small sample sizes. We present a high-throughput framework to efficiently identify eligible patients for genetic studies of adverse drug reactions (ADRs) using “drug allergy” labels from electronic health records (EHRs). As a proof-of-concept, we conducted GWAS for ADRs to 14 common drug/drug groups with 81,739 individuals from Vanderbilt University Medical Center’s BioVU DNA Biobank. We identified 7 genetic loci associated with ADRs at P < 5 × 10−8, including known genetic associations such as CYP2D6 and OPRM1 for CYP2D6-metabolized opioid ADR. Additional expression quantitative trait loci and phenome-wide association analyses added evidence to the observed associations. Our high-throughput framework is both scalable and portable, enabling impactful pharmacogenomic research to improve precision medicine. Adverse drug reactions are a considerable burden on the healthcare system. Genetic studies can improve our understanding of the pathophysiological mechanisms of adverse drug reactions but have been hindered by small sample sizes. Drug responses are less often recorded than physiological traits and common diseases. Here, we present a high-throughput framework to efficiently identify eligible patients for genetic studies of adverse drug reactions from electronic health records. We validated our approach by conducting genome-wide association studies for adverse reactions to 14 common drug/drug groups with 81,739 individuals from Vanderbilt University Medical Centre’s BioVU DNA Biobank, identifying 7 genetic loci associated with adverse drug reactions. Our high-throughput framework can enable impactful pharmacogenomic research to help develop clinical guidelines for the delivery of the right drug to the right person.
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Affiliation(s)
- Neil S. Zheng
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Cosby A. Stone
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Lan Jiang
- Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Christian M. Shaffer
- Tennessee Valley Healthcare System—Nashville Campus, Nashville, Tennessee, United States of America
| | - V. Eric Kerchberger
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Cecilia P. Chung
- Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Tennessee Valley Healthcare System—Nashville Campus, Nashville, Tennessee, United States of America
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - QiPing Feng
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Nancy J. Cox
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - C. Michael Stein
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Pharmacology, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Dan M. Roden
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Pharmacology, Vanderbilt University, Nashville, Tennessee, United States of America
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Joshua C. Denny
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Elizabeth J. Phillips
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- * E-mail:
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Wakao R, Lönnstedt IM, Aoki Y, Chandler RE. The Use of Subgroup Disproportionality Analyses to Explore the Sensitivity of a Global Database of Individual Case Safety Reports to Known Pharmacogenomic Risk Variants Common in Japan. Drug Saf 2021; 44:681-697. [PMID: 33837924 PMCID: PMC8184560 DOI: 10.1007/s40264-021-01063-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2021] [Indexed: 11/09/2022]
Abstract
INTRODUCTION Genetic variations of enzymes that affect the pharmacokinetics and hence effects of medications differ between ethnicities, resulting in variation in the risk of adverse drug reactions (ADR) between different populations. Previous work has demonstrated that risk-group considerations can be incorporated into approaches of statistical signal detection. It is unknown whether databases of individual case safety reports (ICSRs) are sensitive to pharmacogenomic differences between populations. OBJECTIVE The aim of this study was to explore the sensitivity of a global database of ICSRs to known pharmacogenomic risk variants common in Japan. METHODS The data source was VigiBase, the global database of ICSRs, including all reports entered in the version frozen on 5 January 2020. Subgroup disproportionality analysis was used to compare ICSRs of two subgroups, Japan and rest of world (RoW). Reports for UGT1A1-metabolized irinotecan and the CYP2C19-metabolized drugs voriconazole, escitalopram and clopidogrel were selected for comparison between the subgroups based upon known genetic polymorphisms with high prevalence in Japan. Contrast between the subgroups was quantified by IC delta [Formula: see text]), a robust shrinkage observed-to-expected (OE) ratio on a log scale. Harmonic mean p values (HMP) were calculated for each drug to evaluate whether a list of pre-specified ADRs were collectively significantly over- (or under-)reported as hypothesized. Daily drug dosages were calculated for ICSRs with sufficient information, and dose distributions were compared between Japan and RoW and related to differences in regionally approved doses. RESULTS The predictions of over-reporting patterns for specific ADRs were observed and confirmed in bootstrap HMP analyses (p = 0.004 for irinotecan and p < 0.001 for each of voriconazole, escitalopram and clopidogrel) and compared with similar drugs with different metabolic pathways. The impact of proactive regulatory action, such as recommended dosing and therapeutic drug monitoring (TDM), was also observable within the global database. For irinotecan and escitalopram, there was evidence of use of lower dosages as recommended in the Japanese labels; for voriconazole, there was evidence of use of TDM with an over-reporting of terms related to drug level measurements and an under-reporting of liver toxicity. CONCLUSIONS Pharmaco-ethnic vulnerabilities caused by pharmacogenomic differences between populations may contribute to differences in ADR reporting between countries in a global database of ICSRs. Regional analyses within a global database can inform on the effectiveness of local risk minimization measures and should be leveraged to catalyse the conversion of real-world usage into safer use of drugs in ethnically tailored ways.
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Affiliation(s)
- Rika Wakao
- Pharmaceuticals and Medical Devices Agency (PMDA), Tokyo, Japan
| | | | - Yasunori Aoki
- Uppsala Monitoring Centre, Box 1051, 75140, Uppsala, Sweden
- National Institute of Informatics, Tokyo, Japan
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Inventor BR, Paun O. Pharmacogenomics in Older Adults: An Integrative Review. Res Gerontol Nurs 2021; 14:211-220. [PMID: 34288783 DOI: 10.3928/19404921-20210428-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Through pharmacogenomics testing, identifying genetic variants that influence how individuals respond to medications could potentially decrease the "trial and error" approach to prescribing medications, maximize beneficial effects, and reduce risks of adverse drug events. Yet, pharmacogenomics testing is still subject to an ongoing debate over its clinical validity and utility. The purpose of the current integrative review was to examine and synthesize evidence on the clinical application of pharmacogenomics in medication management among older adults. Gaps were found, such as lack of studies investigating the prospective use of pharmacogenomics testing to improve clinical outcomes and lack of strong evidence on the clinical validity and utility of pharmacogenomics testing in the medication management of older adults. However, the review identified evidence for the potential benefits of pharmacogenomics testing to improve older adults' clinical outcomes that warrant further investigation. [Research in Gerontological Nursing, 14(4), 211-220.].
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Eliasson E, Wadelius M. [Pharmacogenomics - a cornerstone of Precision Medicine. Genomic Medicine Sweden analyses genotypes associated with serious drug toxicity or therapeutic failure]. Lakartidningen 2021; 118:20176. [PMID: 33973222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Serious adverse drug reactions, drug intolerance, and lack of effect are major problems in healthcare. Pharmacogenomics is the part of precision medicine that aims to develop predictive risk markers in this respect and establish such testing in clinical practice. The nation-wide project Genomic Medicine Sweden (GMS) is undertaking large-scale sequencing to predict risk of drug toxicity and lack of efficacy in malignant diseases. The aim is to facilitate an improved, individualized treatment with increased patient safety. In addition to accurate genotyping, other technical or infrastructure-related aspects need to be considered for a successful implementation in healthcare, for example electronic accessibility and visibility of pharmacogenomic data of long-standing relevance for an individual's ongoing and future drug treatment.
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Affiliation(s)
- Erik Eliasson
- professor, överläkare, klinisk farmakologi, Karolins-ka institutet; Karolins-ka universitetslaboratoriet, Stockholm
| | - Mia Wadelius
- professor, överläkare, Klinisk farmakologi, Uppsala universitet; Akademiska laboratoriet, Uppsala; båda för arbetsgruppen för farmakogenomik, Genomic Medicine Sweden
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Yue QY. The International Society of Pharmacovigilance (ISoP) Pharmacogenomic Special Interest Group: Pharmacogenomics in Pharmacovigilance. Drug Saf 2021; 44:615-617. [PMID: 33964001 PMCID: PMC8184708 DOI: 10.1007/s40264-021-01068-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2021] [Indexed: 12/20/2022]
Affiliation(s)
- Qun-Ying Yue
- International Society of Pharmacovigilance Pharmacogenomic Special Interest Group, Uppsala Monitoring Centre, Bredgränd 7, 753 20, Uppsala, Sweden.
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Elens I, Deprez S, Billiet T, Sleurs C, Labarque V, Uyttebroeck A, Van Gool S, Lemiere J, D’Hooge R. Methylene tetrahydrofolate reductase A1298C polymorphisms influence the adult sequelae of chemotherapy in childhood-leukemia survivors. PLoS One 2021; 16:e0250228. [PMID: 33930029 PMCID: PMC8087097 DOI: 10.1371/journal.pone.0250228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 04/03/2021] [Indexed: 11/23/2022] Open
Abstract
This retrospective correlation study investigated the putative link between methylene tetrahydrofolate reductase (MTHFR) A1298C mutations and chemotherapy-related brain function changes in adult childhood-leukemia survivors. To this end, we determined the relationship between the particular MTHFR1298 genotype (AA, AC or CC) of 31 adult childhood-leukemia survivors, and (1) their CSF Tau and phosphorylated Tau (pTau) levels at the time of treatment, (2) their adult performance intelligence quotient (PIQ), and (3) their regional brain connectivity using diffusion magnetic resonance imaging (dMRI) and resting-state functional MRI (rsfMRI). We confirmed that neuropathology markers Tau and pTau significantly increased in CSF of children after intrathecal methotrexate administration. Highest concentrations of these toxicity markers were found during the induction phase of the therapy. Moreover, CSF concentrations of Tau and pTau during treatment were influenced by the children’s particular MTHFR1298 genotype. CSF Tau (but not pTau) levels significantly dropped after folinic acid supplementation. At adult age (on average 13.1 years since the end of their treatment), their particular MTHFR1298 genotype (AA, AC or CC) influenced the changes in PIQ and cortical connectivity that we found to be related to their childhood exposure to chemotherapeutics. In summary, we suggest that homozygous MTHFR1298CC individuals are more vulnerable to the adult sequelae of antifolate chemotherapy.
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Affiliation(s)
- Iris Elens
- Laboratory of Biological Psychology, KU Leuven, Leuven, Belgium
- Department of Child and Adolescent Psychiatry, KU Leuven, University Psychiatric Centre Leuven, Leuven, Belgium
- Department of Psychiatry, AZ Delta, Roeselare, Belgium
| | - Sabine Deprez
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Department of Radiology, University Hospital Leuven, Leuven, Belgium
| | - Thibo Billiet
- Department of Radiology, University Hospital Leuven, Leuven, Belgium
- Icometrix, Leuven, Belgium
| | - Charlotte Sleurs
- Department of Radiology, University Hospital Leuven, Leuven, Belgium
- Department of Pediatrics, Pediatric Hemato-Oncology, University Hospital Leuven, Leuven, Belgium
| | - Veerle Labarque
- Department of Pediatrics, Pediatric Hemato-Oncology, University Hospital Leuven, Leuven, Belgium
- Department of Cardiovascular Medicine, KU Leuven, Leuven, Belgium
| | - Anne Uyttebroeck
- Department of Pediatrics, Pediatric Hemato-Oncology, University Hospital Leuven, Leuven, Belgium
- Department of Cardiovascular Medicine, KU Leuven, Leuven, Belgium
| | | | - Jurgen Lemiere
- Department of Child and Adolescent Psychiatry, KU Leuven, University Psychiatric Centre Leuven, Leuven, Belgium
- Department of Pediatrics, Pediatric Hemato-Oncology, University Hospital Leuven, Leuven, Belgium
| | - Rudi D’Hooge
- Laboratory of Biological Psychology, KU Leuven, Leuven, Belgium
- * E-mail:
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Liu Y, Zeng X, Ouyang D. Progress in study on the association between HLA genetic variation and adverse drug reactions. Zhong Nan Da Xue Xue Bao Yi Xue Ban 2021; 46:404-413. [PMID: 33967088 PMCID: PMC10930308 DOI: 10.11817/j.issn.1672-7347.2021.200256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Indexed: 11/03/2022]
Abstract
The human leukocyte antigen (HLA) molecules encoded within the human major histocompatibility complex are a group of highly conserved cell surface proteins, which are related to antigen recognition. HLA genes display a high degree of genetic polymorphism, which is the basis of individual differences in immunity. Specific HLA genotypes have been highly associated with typical adverse drug reactions. HLA-A*31:01 and HLA-B*15:02 are associated with carbamazepine-induced severe cutaneous adverse reactions, HLA-B*57:01 is related to abacavir-induced drug-induced hypersensitivity syndrome and flucloxacillin/pazopanib-induced drug-induced liver injury, while HLA-B*35:01 is a potential biomarker for predicting polygonum multiflorum-induced liver injury. It is not clear how small drug molecules to interact with HLA molecules and T cell receptors (TCR). There are four mechanistic hypotheses, including the hapten/prohapten theory, the pharmacological interaction concept, the altered peptide repertoire model, and the altered TCR repertoire model.
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Affiliation(s)
- Yating Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008.
- Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078.
| | - Xiangchang Zeng
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008
- Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078
| | - Dongsheng Ouyang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008.
- Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078.
- Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha 410205, China.
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Furuse M, Hosomi S, Nishida Y, Itani S, Nadatani Y, Fukunaga S, Otani K, Tanaka F, Nagami Y, Taira K, Kamata N, Watanabe T, Watanabe K, Fujiwara Y. The impact of cytochrome P450 3A genetic polymorphisms on tacrolimus pharmacokinetics in ulcerative colitis patients. PLoS One 2021; 16:e0250597. [PMID: 33886687 PMCID: PMC8062093 DOI: 10.1371/journal.pone.0250597] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 04/09/2021] [Indexed: 12/17/2022] Open
Abstract
Tacrolimus (Tac) is an effective remission inducer of refractory ulcerative colitis (UC). Gene polymorphisms result in interindividual variability in Tac pharmacokinetics. In this study, we aimed to examine the relationships between gene polymorphisms and the metabolism, pharmacokinetics, and therapeutic effects of Tac in patients with UC. Forty-five patients with moderate-to-severe refractory UC treated with Tac were retrospectively enrolled. Genotyping for cytochrome P450 (CYP) 3A4*1G, CYP3A5*3, CYP2C19*2, CYP2C19*3, nuclear receptor subfamily 1 group I member 2 (NR1I2)–25385C>T, ATP-binding cassette subfamily C member 2 (ABCC2)–24C>T, ABCC2 1249G>A, and ABCC2 3972C>T was performed. Concentration/dose (C/D) ratio, clinical therapeutic effects, and adverse events were evaluated. The C/D ratio of Tac in UC patients with the CYP3A4*1G allele was statistically lower than in those with the CYP3A4*1/*1 allele (P = 0.005) and significantly lower in patients with CYP3A5*3/*3 than in those with CYP3A5*1 (P < 0.001). Among patients with the CYP3A4*1G allele, the C/D ratio was significantly lower in patients with CYP3A5*1 than in those with CYP3A5*3/*3 (P = 0.001). Patients with the NR1I2–25385C/C genotype presented significantly more overall adverse events than those with the C/T or T/T genotype (P = 0.03). Although CYP3A4*1G and CYP3A5*3 polymorphisms were related to Tac pharmacokinetics, CYP3A5 presented a stronger effect than CYP3A4. The NR1I2–25385C/C genotype was related to the overall adverse events. The evaluation of these polymorphisms could be useful in the treatment of UC with Tac.
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Affiliation(s)
- Maizumi Furuse
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shuhei Hosomi
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
- * E-mail:
| | - Yu Nishida
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shigehiro Itani
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yuji Nadatani
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shusei Fukunaga
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Koji Otani
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Fumio Tanaka
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yasuaki Nagami
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Koichi Taira
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Noriko Kamata
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Toshio Watanabe
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Kenji Watanabe
- Department of Center for Inflammatory Bowel Disease, Division of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Yasuhiro Fujiwara
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
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Gong JY, Peng SY, Xing K, Fan L, Tan SL, Luo ZY, Yuan HY, Xu P, Luo JQ. Evaluating the role of GSTP1 genetic polymorphism (rs1695, 313A>G) as a predictor in cyclophosphamide-induced toxicities. Medicine (Baltimore) 2021; 100:e24423. [PMID: 33725933 PMCID: PMC7982171 DOI: 10.1097/md.0000000000024423] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 01/01/2021] [Indexed: 01/05/2023] Open
Abstract
The association between Glutathione S-transferase Pi 1(GSTP1) genetic polymorphism (rs1695, 313A>G) and cyclophosphamide-induced toxicities has been widely investigated in previous studies, however, the results were inconsistent. This study was performed to further elucidate the association.A comprehensive search was conducted in PubMed, Embase, Web of Science, China National Knowledge Infrastructure, and Wan Fang database up to January 5, 2020. Risk ratios (RRs) and 95% confidence intervals (95% CIs) were used to estimate the association between GSTP1 rs1695 polymorphism and cyclophosphamide-induced hemotoxicity, gastrointestinal toxicity, infection, and neurotoxicity.A total of 13 studies were eventually included. Compared with the GSTP1 rs1695 AA genotype carriers, patients with AG and GG genotypes had an increased risk of cyclophosphamide-induced gastrointestinal toxicity (RR, 1.61; 95% CI, 1.18-2.19; P = .003) and infection (RR, 1.57; 95% CI, 1.00-2.48; P = .05) in the overall population. In the subgroup analyses, there were significant associations between GSTP1 rs1695 polymorphism and the risk of cyclophosphamide-induced myelosuppression (RR, 2.10; 95% CI, 1.60-2.76; P < .00001), gastrointestinal toxicity (RR, 1.77; 95%CI, 1.25-2.53; P = .001), and infection (RR, 2.01; 95% CI, 1.14-3.54; P = .02) in systemic lupus erythematosus (SLE) or lupus nephritis syndrome patients, but not in cancer patients.Our results confirmed an essential role for the GSTP1 rs1695 polymorphism in the prediction of cyclophosphamide-induced myelosuppression, gastrointestinal toxicity, and infection in SLE or lupus nephritis syndrome patients. More studies are necessary to validate our findings in the future.
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Affiliation(s)
- Jin-Yu Gong
- Department of Pharmacy
- Institute of Clinical Pharmacy
| | | | - Kai Xing
- Department of Pharmacy
- Institute of Clinical Pharmacy
| | - Li Fan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sheng-Lan Tan
- Department of Pharmacy
- Institute of Clinical Pharmacy
| | - Zhi-Ying Luo
- Department of Pharmacy
- Institute of Clinical Pharmacy
| | - Hai-Yan Yuan
- Department of Pharmacy
- Institute of Clinical Pharmacy
| | - Ping Xu
- Department of Pharmacy
- Institute of Clinical Pharmacy
| | - Jian-Quan Luo
- Department of Pharmacy
- Institute of Clinical Pharmacy
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Fan M, Yarema MC, Box A, Hume S, Aitchison KJ, Bousman CA. Identification of high-impact gene-drug pairs for pharmacogenetic testing in Alberta, Canada. Pharmacogenet Genomics 2021; 31:29-39. [PMID: 32826605 DOI: 10.1097/fpc.0000000000000418] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To facilitate decision-making and priority-setting related to Alberta's Pharmacogenomics (PGx) testing implementation strategy by identifying gene-drug pairs with the highest potential impact on prescribing practices in Alberta. PATIENTS AND METHODS Annual drug dispensing data for Alberta from 2012 to 2016 for 57 medications with PGx-based prescribing guidelines were obtained, along with population estimates and demographics (age and ethnicity). Frequencies of actionable PGx genotypes by ethnicity were obtained from the Pharmacogenomics Knowledgebase (PharmGKB). Annual dispensing activity for each of the 57 medications was calculated for the full population (all ages) and children/youth (0-19 years). Alberta ethnicity data were cross-referenced with genetic frequency data for each of the main ethnic groups from PharmGKB to estimate the proportion of individuals with actionable genotypes. Actionable genotype proportions and drug dispensing frequencies were collectively used to identify high impact gene-drug pairs. RESULTS We found (a) half of the drugs with PGx-based prescribing guidelines, namely, analgesics, proton pump inhibitors, psychotropics, and cardiovascular drugs, were dispensed at high frequencies (>1% of the entire population), (b) the dispensing rate for about one-third of these drugs increased over the 5-year study period, (c) between 1.1 and 45% of recipients of these drugs carried actionable genotypes, and (d) the gene-drug pairs with greatest impact in Alberta predominatly included CYP2C19 or CYP2D6. CONCLUSIONS We uncovered specific patterns in drug dispensing and identified important gene-drug pairs that will inform the planning and development of an evidenced-based PGx testing service in Alberta, Canada. Adaptation of our approach may facilitate the process of evidence-based PGx testing implementation in other jurisdictions.
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Affiliation(s)
- Mikayla Fan
- Biomedical Sciences, Cumming School of Medicine, University of Calgary, Calgary
| | - Mark C Yarema
- Poison and Drug Information Service, Alberta Health Services, Calgary
- Section of Clinical Pharmacology and Toxicology, Alberta Health Services, Calgary
- Department of Emergency Medicine, University of Calgary, Calgary
| | - Adrian Box
- Alberta Precision Laboratories, Alberta Health Services, Edmonton
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary
| | - Stacey Hume
- Alberta Precision Laboratories, Alberta Health Services, Edmonton
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton
| | - Katherine J Aitchison
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton
- Department of Psychiatry and Medical Genetics, University of Alberta, Edmonton
| | - Chad A Bousman
- Department of Medical Genetics, Psychiatry, Physiology and Pharmacology, University of Calgary, Calgary
- Alberta Children's Hospital Research Institute, Calgary
- Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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Zheng Y, Deng Z, Tang M, Xiao D, Cai P. Impact of genetic factors on platinum-induced gastrointestinal toxicity. Mutat Res Rev Mutat Res 2020; 786:108324. [PMID: 33339576 DOI: 10.1016/j.mrrev.2020.108324] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 07/09/2020] [Accepted: 07/14/2020] [Indexed: 01/20/2023]
Abstract
Severe gastrointestinal (GI) toxicity is a common side effect after platinum-based chemotherapy. The incidence and severity of GI toxicity vary among patients with the same chemotherapy. Genetic factors involved in platinum transport, metabolism, detoxification, DNA repair, cell cycle control, and apoptosis pathways may account for the interindividual difference in GI toxicity. The influence of gene polymorphisms in the platinum pathway on GI toxicity has been extensively analyzed. Variations in study sample size, ethnicity, design, treatment schedule, dosing, endpoint definition, and assessment of toxicity make it difficult to precisely interpret the results. Hence, we conducted a review to summarize the most recent pharmacogenomics studies of GI toxicity in platinum-based chemotherapy and identify the most promising avenues for further research.
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Affiliation(s)
- Yi Zheng
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, People's Republic of China
| | - Zheng Deng
- Hunan Institute for Tuberculosis Control, Changsha, 410008, People's Republic of China; Hunan Chest Hospital, Changsha, 410008, People's Republic of China
| | - Mimi Tang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China
| | - Di Xiao
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China
| | - Pei Cai
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, People's Republic of China.
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Iemmolo R, La Cognata V, Morello G, Guarnaccia M, Arbitrio M, Alessi E, Cavallaro S. Development of a Pharmacogenetic Lab-on-Chip Assay Based on the In-Check Technology to Screen for Genetic Variations Associated to Adverse Drug Reactions to Common Chemotherapeutic Agents. Biosensors (Basel) 2020; 10:E202. [PMID: 33317085 PMCID: PMC7764726 DOI: 10.3390/bios10120202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/02/2020] [Accepted: 12/07/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Antineoplastic agents represent the most common class of drugs causing Adverse Drug Reactions (ADRs). Mutant alleles of genes coding for drug-metabolizing enzymes are the best studied individual risk factors for these ADRs. Although the correlation between genetic polymorphisms and ADRs is well-known, pharmacogenetic tests are limited to centralized laboratories with expensive or dedicated instrumentation used by specialized personnel. Nowadays, DNA chips have overcome the major limitations in terms of sensibility, specificity or small molecular detection, allowing the simultaneous detection of several genetic polymorphisms with time and costs-effective advantages. In this work, we describe the design of a novel silicon-based lab-on-chip assay able to perform low-density and high-resolution multi-assay analysis (amplification and hybridization reactions) on the In-Check platform. METHODS The novel lab-on-chip was used to screen 17 allelic variants of three genes associated with adverse reactions to common chemotherapeutic agents: DPYD (Dihydropyrimidine dehydrogenase), MTHFR (5,10-Methylenetetrahydrofolate reductase) and TPMT (Thiopurine S-methyltransferase). RESULTS Inter- and intra assay variability were performed to assess the specificity and sensibility of the chip. Linear regression was used to assess the optimal hybridization temperature set at 52 °C (R2 ≈ 0.97). Limit of detection was 50 nM. CONCLUSIONS The high performance in terms of sensibility and specificity of this lab-on-chip supports its further translation to clinical diagnostics, where it may effectively promote precision medicine.
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Affiliation(s)
- Rosario Iemmolo
- Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami, 18-95126 Catania, Italy; (R.I.); (V.L.C.); (G.M.); (M.G.)
| | - Valentina La Cognata
- Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami, 18-95126 Catania, Italy; (R.I.); (V.L.C.); (G.M.); (M.G.)
| | - Giovanna Morello
- Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami, 18-95126 Catania, Italy; (R.I.); (V.L.C.); (G.M.); (M.G.)
| | - Maria Guarnaccia
- Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami, 18-95126 Catania, Italy; (R.I.); (V.L.C.); (G.M.); (M.G.)
| | - Mariamena Arbitrio
- Institute for Biomedical Research and Innovation, National Research Council, 88100 Catanzaro, Italy;
| | - Enrico Alessi
- Analog, MEMS & Sensor Group Health Care Business Development Unit, STMicroelectronics, Stradale Primosole, 50-95126 Catania, Italy;
| | - Sebastiano Cavallaro
- Institute for Biomedical Research and Innovation, National Research Council, Via Paolo Gaifami, 18-95126 Catania, Italy; (R.I.); (V.L.C.); (G.M.); (M.G.)
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41
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King C, McKenna A, Farzan N, Vijverberg SJ, van der Schee MP, Maitland-van der Zee AH, Arianto L, Bisgaard H, BØnnelykke K, Berce V, PotoČnik U, Repnik K, Carleton B, Daley D, Chew FT, Chiang WC, Sio YY, Cloutier MM, Den Dekker HT, Duijts L, de Jongste JC, Dijk FN, Flores C, Hernandez-Pacheco N, Mukhopadhyay S, Basu K, Tantisira KG, Verhamme KM, Celedón JC, Forno E, Canino G, Francis B, Pirmohamed M, Sinha I, Hawcutt DB. Pharmacogenomic associations of adverse drug reactions in asthma: systematic review and research prioritisation. Pharmacogenomics J 2020; 20:621-628. [PMID: 31949291 PMCID: PMC7502355 DOI: 10.1038/s41397-019-0140-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 11/22/2019] [Accepted: 12/16/2019] [Indexed: 11/16/2022]
Abstract
A systematic review of pharmacogenomic studies capturing adverse drug reactions (ADRs) related to asthma medications was undertaken, and a survey of Pharmacogenomics in Childhood Asthma (PiCA) consortia members was conducted. Studies were eligible if genetic polymorphisms were compared with suspected ADR(s) in a patient with asthma, as either a primary or secondary outcome. Five studies met the inclusion criteria. The ADRs and polymorphisms identified were change in lung function tests (rs1042713), adrenal suppression (rs591118), and decreased bone mineral density (rs6461639) and accretion (rs9896933, rs2074439). Two of these polymorphisms were replicated within the paper, but none had external replication. Priorities from PiCA consortia members (representing 15 institution in eight countries) for future studies were tachycardia (SABA/LABA), adrenal suppression/crisis and growth suppression (corticosteroids), sleep/behaviour disturbances (leukotriene receptor antagonists), and nausea and vomiting (theophylline). Future pharmacogenomic studies in asthma should collect relevant ADR data as well as markers of efficacy.
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Affiliation(s)
- Charlotte King
- Department of Women and Child's Health, Institute of Translational Medicine, University of Liverpool, Liverpool, England
| | - Amanda McKenna
- Department of Women and Child's Health, Institute of Translational Medicine, University of Liverpool, Liverpool, England
| | - Niloufar Farzan
- Department of Respiratory Medicine, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands
| | - Susanne J Vijverberg
- Department of Respiratory Medicine, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands
| | - Marc P van der Schee
- Department of Respiratory Medicine, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands
| | - Anke H Maitland-van der Zee
- Department of Respiratory Medicine, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands
| | - Lambang Arianto
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev & Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev & Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Klaus BØnnelykke
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev & Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Vojko Berce
- Department of Pediatrics, University Medical Centre Maribor, Maribor, Slovenia
- Centre for Human Molecular Genetics & Pharmacogenomics, Faculty of Medicine, University of Maribor, Maribor, Slovenia
| | - Uros PotoČnik
- Centre for Human Molecular Genetics & Pharmacogenomics, Faculty of Medicine, University of Maribor, Maribor, Slovenia
| | - Katja Repnik
- Centre for Human Molecular Genetics & Pharmacogenomics, Faculty of Medicine, University of Maribor, Maribor, Slovenia
| | - Bruce Carleton
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia, BC Children's Hospital and Research Institute, Vancouver, Canada
| | - Denise Daley
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia, BC Children's Hospital and Research Institute, Vancouver, Canada
| | - Fook Tim Chew
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
- Allergy & Immunology Division, Department of Paediatric Medicine, KK Children's Hospital, Singapore, Singapore
| | - Wen Chin Chiang
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
- Allergy & Immunology Division, Department of Paediatric Medicine, KK Children's Hospital, Singapore, Singapore
| | - Yang Yie Sio
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
- Allergy & Immunology Division, Department of Paediatric Medicine, KK Children's Hospital, Singapore, Singapore
| | - Michelle M Cloutier
- Asthma Center, Connecticut Children's Medical Center, University of Connecticut Health Center, Farmington, Connecticut, USA
| | - Herman T Den Dekker
- Department of Pediatrics, Division of Respiratory Medicine & Allergology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Liesbeth Duijts
- Department of Pediatrics, Division of Respiratory Medicine & Allergology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Johan C de Jongste
- Department of Pediatric Pulmonology & Pediatric Allergology, University Medical Center Groningen, University of Groningen, Beatrix Children's Hospital, Groningen, The Netherlands
| | - F Nicole Dijk
- Department of Pediatric Pulmonology & Pediatric Allergology, University Medical Center Groningen, University of Groningen, Beatrix Children's Hospital, Groningen, The Netherlands
- Groningen Research Institute for Asthma & COPD, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Carlos Flores
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
| | - Natalia Hernandez-Pacheco
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
| | - Somnath Mukhopadhyay
- Academic Department of Paediatrics, Brighton & Sussex Medical School, Royal Alexandra Children's Hospital, Brighton, UK
| | - Kaninika Basu
- Academic Department of Paediatrics, Brighton & Sussex Medical School, Royal Alexandra Children's Hospital, Brighton, UK
| | - Kelan G Tantisira
- The Channing Division of Network Medicine, Department of Medicine, Boston, MA, 02115, USA
- Division of Pulmonary & Critical Care Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, MA, 02115, USA
| | - Katia M Verhamme
- Department of Medical Informatics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Juan C Celedón
- Division of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Erick Forno
- Division of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Glorisa Canino
- Behavioral Sciences Research Institute, University of Puerto Rico, San Juan, Puerto Rico
| | - Ben Francis
- Department of Biostatistics, Institute of Translational Medicine, University of Liverpool, Liverpool, England
| | - Munir Pirmohamed
- Department of Molecular & Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, England
| | - Ian Sinha
- Department of Respiratory Medicine, Alder Hey Children's Hospital, Liverpool, England
| | - Daniel B Hawcutt
- Department of Women and Child's Health, Institute of Translational Medicine, University of Liverpool, Liverpool, England.
- NIHR Alder Hey Clinical Research Facility, Alder Hey Children's Hospital, Liverpool, England.
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Osipov A, Lim SJ, Popovic A, Azad NS, Laheru DA, Zheng L, Jaffee EM, Wang H, Yarchoan M. Tumor Mutational Burden, Toxicity, and Response of Immune Checkpoint Inhibitors Targeting PD(L)1, CTLA-4, and Combination: A Meta-regression Analysis. Clin Cancer Res 2020; 26:4842-4851. [PMID: 32586938 PMCID: PMC7501151 DOI: 10.1158/1078-0432.ccr-20-0458] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 04/25/2020] [Accepted: 06/18/2020] [Indexed: 12/21/2022]
Abstract
PURPOSE Tumor mutational burden (TMB) has emerged as a potential predictive biomarker for clinical response to ICI therapy, but whether TMB also predicts toxicity remains unknown. We investigated the relationship between TMB, objective response rate (ORR), overall survival (OS), and toxicity for ICI therapy across multiple cancer types. EXPERIMENTAL DESIGN We searched MEDLINE, PubMed, and ASCO/ESMO/AACR meetings for clinical trials of anti-PD(L)1, CTLA-4, or combination in 29 cancer types. We assessed ICI administered, responses (complete or partial response), median OS, OS HR, and grade 3/4 toxicity. We conducted a systematic review, meta-analysis and meta-regression using tumor level TMB data from Foundation Medicine. RESULTS One hundred seventeen clinical trials, which included 12,450 patients treated with ICI therapy were analyzed. Meta-regression analysis revealed that TMB was significantly associated with ORR for anti-PD(L)1, anti-CTLA-4, and combination (P < 0.0001 for all), but not associated with toxicity in all treatment groups. OS data were unavailable for most studies included in our meta-analysis, and the relationship between TMB and OS in this subset was not significant (P = 0.26). In high TMB tumor types (≥10 mut/megabase) the improvement of ORR and increase in grade 3/4 toxicity with combination ICI therapy as compared with PD(L)1 monotherapy were 21.13% and 25.41%, respectively, as compared with 3.73% and 18.78% in low TMB tumor types (<10 mut/megabase). CONCLUSIONS There is a positive association between TMB and clinical response with anti-PD(L)1, anti-CTLA-4, and combination ICIs, but no association between TMB and toxicity. These results imply a favorable risk/benefit ratio for ICIs in tumors with a higher TMB.
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Affiliation(s)
- Arsen Osipov
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Su Jin Lim
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Aleksandra Popovic
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Nilofer S Azad
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Daniel A Laheru
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Lei Zheng
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Elizabeth M Jaffee
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Hao Wang
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Mark Yarchoan
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
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Í Dali C, Sevin C, Krägeloh-Mann I, Giugliani R, Sakai N, Wu J, Wasilewski M. Safety of intrathecal delivery of recombinant human arylsulfatase A in children with metachromatic leukodystrophy: Results from a phase 1/2 clinical trial. Mol Genet Metab 2020; 131:235-244. [PMID: 32792226 DOI: 10.1016/j.ymgme.2020.07.002] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/01/2020] [Accepted: 07/01/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Metachromatic leukodystrophy (MLD) is an autosomal recessive disorder caused by deficient arylsulfatase A (ASA) activity and characterized by neurological involvement that results in severe disability and premature death. We examined the safety and tolerability of intrathecally delivered recombinant human ASA (rhASA; SHP611, now TAK-611) in children with MLD (NCT01510028). Secondary endpoints included change in cerebrospinal fluid (CSF) sulfatide and lysosulfatide levels, and motor function (assessed by Gross Motor Function Measure-88 total score). METHODS Twenty-four children with MLD who experienced symptom onset aged ≤ 30 months were enrolled. Patients received rhASA every other week (EOW) for 38 weeks at 10, 30, or 100 mg (cohorts 1-3; n = 6 per cohort), or 100 mg manufactured using a revised process (cohort 4; n = 6). RESULTS No rhASA-related serious adverse events (SAEs) were observed; 25% of patients experienced an SAE related to the intrathecal device or drug delivery method. Mean CSF sulfatide and lysosulfatide levels fell to within normal ranges in both 100 mg cohorts following treatment. Although there was a general decline in motor function over time, there was a tendency towards a less pronounced decline in patients receiving 100 mg. CONCLUSION Intrathecal rhASA was generally well tolerated at doses up to 100 mg EOW. These preliminary data support further development of rhASA as a therapy for patients with MLD.
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Affiliation(s)
- Christine Í Dali
- Department of Clinical Genetics, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
| | | | - Ingeborg Krägeloh-Mann
- Department of Neuropediatrics, University Children's Hospital Tübingen, Tübingen, Germany.
| | - Roberto Giugliani
- Medical Genetics Service, HCPA, Department of Genetics, UFRGS, and INAGEMP, Porto Alegre, Brazil.
| | | | - James Wu
- Shire, a member of the Takeda group of companies, Lexington, MA, USA.
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Duffy Á, Verbanck M, Dobbyn A, Won HH, Rein JL, Forrest IS, Nadkarni G, Rocheleau G, Do R. Tissue-specific genetic features inform prediction of drug side effects in clinical trials. Sci Adv 2020; 6:6/37/eabb6242. [PMID: 32917698 DOI: 10.1126/sciadv.abb6242] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 08/03/2020] [Indexed: 06/11/2023]
Abstract
Adverse side effects often account for the failure of drug clinical trials. We evaluated whether a phenome-wide association study (PheWAS) of 1167 phenotypes in >360,000 U.K. Biobank individuals, in combination with gene expression and expression quantitative trait loci (eQTL) in 48 tissues, can inform prediction of drug side effects in clinical trials. We determined that drug target genes with five genetic features-tissue specificity of gene expression, Mendelian associations, phenotype- and tissue-level effects of genome-wide association (GWA) loci driven by eQTL, and genetic constraint-confer a 2.6-fold greater risk of side effects, compared to genes without such features. The presence of eQTL in multiple tissues resulted in more unique phenotypes driven by GWA loci, suggesting that drugs delivered to multiple tissues can induce several side effects. We demonstrate the utility of PheWAS and eQTL data from multiple tissues for informing drug side effect prediction and highlight the need for tissue-specific drug delivery.
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Affiliation(s)
- Áine Duffy
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marie Verbanck
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Université de Paris, UR 7537 BioSTM, Paris, France
| | - Amanda Dobbyn
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Joshua L Rein
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Iain S Forrest
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Girish Nadkarni
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ghislain Rocheleau
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ron Do
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Ietswaart R, Arat S, Chen AX, Farahmand S, Kim B, DuMouchel W, Armstrong D, Fekete A, Sutherland JJ, Urban L. Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology. EBioMedicine 2020; 57:102837. [PMID: 32565027 PMCID: PMC7379147 DOI: 10.1016/j.ebiom.2020.102837] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 05/08/2020] [Accepted: 05/28/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Adverse drug reactions (ADRs) are one of the leading causes of morbidity and mortality in health care. Understanding which drug targets are linked to ADRs can lead to the development of safer medicines. METHODS Here, we analyse in vitro secondary pharmacology of common (off) targets for 2134 marketed drugs. To associate these drugs with human ADRs, we utilized FDA Adverse Event Reports and developed random forest models that predict ADR occurrences from in vitro pharmacological profiles. FINDINGS By evaluating Gini importance scores of model features, we identify 221 target-ADR associations, which co-occur in PubMed abstracts to a greater extent than expected by chance. Amongst these are established relations, such as the association of in vitro hERG binding with cardiac arrhythmias, which further validate our machine learning approach. Evidence on bile acid metabolism supports our identification of associations between the Bile Salt Export Pump and renal, thyroid, lipid metabolism, respiratory tract and central nervous system disorders. Unexpectedly, our model suggests PDE3 is associated with 40 ADRs. INTERPRETATION These associations provide a comprehensive resource to support drug development and human biology studies. FUNDING This study was not supported by any formal funding bodies.
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Affiliation(s)
- Robert Ietswaart
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, United States.
| | - Seda Arat
- The Jackson Laboratory, Farmington, CT 06032, United States.
| | - Amanda X Chen
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, United States; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States
| | - Saman Farahmand
- Computational Sciences PhD program, University of Massachusetts Boston, Boston, MA 02125, United States
| | - Bumjun Kim
- Department of Chemical Engineering, Northeastern University, Boston, MA 02115, United States
| | | | - Duncan Armstrong
- Novartis Institutes for Biomedical Research, Cambridge, MA 02139, United States
| | - Alexander Fekete
- Novartis Institutes for Biomedical Research, Cambridge, MA 02139, United States
| | - Jeffrey J Sutherland
- Novartis Institutes for Biomedical Research, Cambridge, MA 02139, United States.
| | - Laszlo Urban
- Novartis Institutes for Biomedical Research, Cambridge, MA 02139, United States.
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Costa EFD, Lima TRP, Lopes-Aguiar L, Nogueira GAS, Visacri MB, Quintanilha JCF, Pincinato EC, Calonga L, Mariano FV, Altemani AMDAM, Altemani JMC, Moriel P, Chone CT, Ramos CD, Lima CSP. FAS and FASL variations in outcomes of tobacco- and alcohol-related head and neck squamous cell carcinoma patients. Tumour Biol 2020; 42:1010428320938494. [PMID: 32628088 DOI: 10.1177/1010428320938494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Radiotherapy and cisplatin lead to cell killing in head and neck squamous cell carcinoma patients, but adverse events and response to treatment are not the same in patients with similar clinicopathological aspects. The aim of this prospective study was to evaluate the roles of TP53 c.215G > C, FAS c.-671A > G, FAS c.-1378G > A, FASL c.-844 C > T, CASP3 c.-1191A > G, and CASP3 c.-182-247G > T single nucleotide variants in toxicity, response rate, and survival of cisplatin chemoradiation-treated head and neck squamous cell carcinoma patients. Genomic DNA was analyzed by polymerase chain reaction for genotyping. Differences between groups of patients were analyzed by chi-square test or Fisher's exact test, multiple logistic regression analysis, and Cox hazards model. One hundred nine patients with head and neck squamous cell carcinoma were enrolled in study. All patients were smokers and/or alcoholics. Patients with FAS c.-671GG genotype, FAS c.-671AG or GG genotype, and FASL c.-844CC genotype had 5.52 (95% confidence interval (CI): 1.42-21.43), 4.03 (95% CI: 1.51-10.79), and 5.77 (95% CI: 1.23-27.04) more chances of presenting chemoradiation-related anemia of grades 2-4, lymphopenia of grade 3 or 4, and ototoxicity of all grades, respectively, than those with the remaining genotypes. FAS c.-671GG genotype was also seen as an independent predictor of shorter event-free survival (hazard ratio (HR): 2.05; P = 0.007) and overall survival (HR: 1.83; P = 0.02) in our head and neck squamous cell carcinoma patients. These findings present, for the first time, preliminary evidence that inherited abnormalities in apoptosis pathway, related to FAS c.-671A > G and FASL c.-844 C > T single nucleotide variants, can alter toxicity and survival of tobacco- and alcohol-related head and neck squamous cell carcinoma patients homogeneously treated with cisplatin chemoradiation.
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Affiliation(s)
| | - Tathiane Regine Penna Lima
- Department of Internal Medicine, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
| | - Leisa Lopes-Aguiar
- Department of Internal Medicine, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
| | | | - Marília Berlofa Visacri
- Department of Clinical Pathology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
| | | | - Eder Carvalho Pincinato
- Department of Internal Medicine, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
| | - Luciane Calonga
- Department of Ophthalmology and Otorhinolaryngology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
| | - Fernanda Viviane Mariano
- Department of Pathology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
| | | | | | - Patrícia Moriel
- Department of Clinical Pathology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
| | - Carlos Takahiro Chone
- Department of Ophthalmology and Otorhinolaryngology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
| | - Celso Dario Ramos
- Department of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
| | - Carmen Silvia Passos Lima
- Department of Internal Medicine, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil
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Jerome RN, Joly MM, Kennedy N, Shirey-Rice JK, Roden DM, Bernard GR, Holroyd KJ, Denny JC, Pulley JM. Leveraging Human Genetics to Identify Safety Signals Prior to Drug Marketing Approval and Clinical Use. Drug Saf 2020; 43:567-582. [PMID: 32112228 PMCID: PMC7398579 DOI: 10.1007/s40264-020-00915-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION When a new drug or biologic product enters the market, its full spectrum of side effects is not yet fully understood, as use in the real world often uncovers nuances not suggested within the relatively narrow confines of preapproval preclinical and trial work. OBJECTIVE We describe a new, phenome-wide association study (PheWAS)- and evidence-based approach for detection of potential adverse drug effects. METHODS We leveraged our established platform, which integrates human genetic data with associated phenotypes in electronic health records from 29,722 patients of European ancestry, to identify gene-phenotype associations that may represent known safety issues. We examined PheWAS data and the published literature for 16 genes, each of which encodes a protein targeted by at least one drug or biologic product. RESULTS Initial data demonstrated that our novel approach (safety ascertainment using PheWAS [SA-PheWAS]) can replicate published safety information across multiple drug classes, with validated findings for 13 of 16 gene-drug class pairs. CONCLUSIONS By connecting and integrating in vivo and in silico data, SA-PheWAS offers an opportunity to supplement current methods for predicting or confirming safety signals associated with therapeutic agents.
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Affiliation(s)
- Rebecca N Jerome
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Meghan Morrison Joly
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nan Kennedy
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jana K Shirey-Rice
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dan M Roden
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
| | - Gordon R Bernard
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kenneth J Holroyd
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Technology Transfer and Commercialization, Vanderbilt University, Nashville, TN, USA
| | - Joshua C Denny
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
| | - Jill M Pulley
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
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Matsumoto N, Kubota Y, Ishida H, Sekido M, Ohkuma R, Ishiguro T, Hirasawa Y, Ariizumi H, Tsunoda T, Ikusue T, Kobayashi K, Hisamatsu A, Toshima H, Shimada K, Fujita KI. Variants of carboxylesterase 1 have no impact on capecitabine pharmacokinetics and toxicity in capecitabine plus oxaliplatin treated-colorectal cancer patients. Cancer Chemother Pharmacol 2020; 85:1119-1128. [PMID: 32458030 DOI: 10.1007/s00280-020-04087-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 05/15/2020] [Indexed: 11/27/2022]
Abstract
PURPOSE Capecitabine is a prodrug that undergoes metabolism in three steps to form an active 5-fluorouracil (5-FU). The first step is primarily catalyzed by liver carboxylesterases (CES) 1. Here, we examined the effects of CES1 variants on pharmacokinetics and toxicity of capecitabine. METHODS We enrolled postoperative colorectal cancer (CRC) patients administered with adjuvant capecitabine plus oxaliplatin (CapeOX) and metastatic CRC patients receiving CapeOX. The pharmacokinetic analysis of the first capecitabine dose (1000 mg/m2) was done on day 1, and oxaliplatin administration was shifted to day 2. Plasma concentrations of capecitabine, 5'-deoxy-5-fluorocytidine, 5'-deoxy-5-fluorouridine (5'-DFUR), and 5-FU were analyzed by high-performance liquid chromatography. CES1 polymorphisms (rs3217164, rs2244614, rs2244613, rs7187684, and rs11861118) and the functional CES1 genes (1A1, var1A1, 1A2, and pseudo 1A3) in their diplotype configurations were analyzed by direct sequencing. RESULTS Thirty-seven patients were enrolled from September 2017 to February 2020. Patients with a higher area under the plasma concentration-time curve to capecitabine dose ratio (AUC/dose) of 5'-DFUR than its mean showed a higher frequency of overall ≥ grade 3 toxicity and lower relative dose intensity (RDI) of capecitabine than those with a lower ratio. Higher CES1 activity expressed as a metabolic ratio (AUC of capecitabine/sum of three AUCs of each metabolite) lower than its mean was associated with higher 5'-DFUR AUC/dose and lower RDI, indicating essential roles of CES1 in capecitabine activation to produce 5'-DFUR. However, the association between CES1 variants and capecitabine pharmacokinetics and toxicity was not significant. CONCLUSION CES1 variants are not associated with capecitabine pharmacokinetics and toxicity.
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Affiliation(s)
- Natsumi Matsumoto
- Division of Cancer Genome and Pharmacotherapy, Department of Clinical Pharmacy, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Yutaro Kubota
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Hiroo Ishida
- Division of Medical Oncology, Showa University Koto Toyosu Hospital, Koto-ku, Tokyo, 1358577, Japan
| | - Masae Sekido
- Division of Cancer Cell Biology, Department of Pharmaceutical Science, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Ryotaro Ohkuma
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Tomoyuki Ishiguro
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Yuya Hirasawa
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Hirotsugu Ariizumi
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Takuya Tsunoda
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Toshikazu Ikusue
- Division of Medical Oncology, Showa University Koto Toyosu Hospital, Koto-ku, Tokyo, 1358577, Japan
| | - Kouji Kobayashi
- Division of Medical Oncology, Showa University Koto Toyosu Hospital, Koto-ku, Tokyo, 1358577, Japan
| | - Atsushi Hisamatsu
- Division of Medical Oncology, Showa University Koto Toyosu Hospital, Koto-ku, Tokyo, 1358577, Japan
| | - Hirokazu Toshima
- Division of Medical Oncology, Showa University Koto Toyosu Hospital, Koto-ku, Tokyo, 1358577, Japan
| | - Ken Shimada
- Division of Medical Oncology, Showa University Koto Toyosu Hospital, Koto-ku, Tokyo, 1358577, Japan
| | - Ken-Ichi Fujita
- Division of Cancer Genome and Pharmacotherapy, Department of Clinical Pharmacy, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan.
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Abstract
A pharmacogenomics-based pathway represents a series of reactions that occur between drugs and genes in the human body after drug administration. PG-path is a pharmacogenomics-based pathway that standardizes and visualizes the components (nodes) and actions (edges) involved in pharmacokinetic and pharmacodynamic processes. It provides an intuitive understanding of the drug response in the human body. A pharmacokinetic pathway visualizes the absorption, distribution, metabolism, and excretion (ADME) at the systemic level, and a pharmacodynamic pathway shows the action of the drug in the target cell at the cellular-molecular level. The genes in the pathway are displayed in locations similar to those inside the body. PG-path allows personalized pathways to be created by annotating each gene with the overall impact degree of deleterious variants in the gene. These personalized pathways play a role in assisting tailored individual prescriptions by predicting changes in the drug concentration in the plasma. PG-path also supports counseling for personalized drug therapy by providing visualization and documentation.
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Affiliation(s)
- Joo Young Hong
- Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea
- Cipherome. Inc., Seoul, Korea
| | - Ju Han Kim
- Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea
- Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea
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50
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Huebner T, Steffens M, Linder R, Fracowiak J, Langner D, Garling M, Falkenberg F, Roethlein C, Gomm W, Haenisch B, Stingl J. Influence of metabolic profiles on the safety of drug therapy in routine care in Germany: protocol of the cohort study EMPAR. BMJ Open 2020; 10:e032624. [PMID: 32345696 PMCID: PMC7213853 DOI: 10.1136/bmjopen-2019-032624] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Pre-emptive testing of pharmacogenetically relevant single-nucleotide polymorphisms can be an effective tool in the prevention of adverse drug reactions and therapy resistance. However, most of the tests are not used as standard in routine care in Germany because of lacking evidence for the clinical and economical benefit and their impact on the usage of healthcare services. We address this issue by investigating the influence of pharmacogenetic profiles on the use of healthcare services over an extended period of several years using routine care data from a statutory health insurance company. The goal is to provide clinical evidence whether pre-emptive pharmacogenetic testing of metabolic profiles in routine care in Germany is beneficial and cost-effective. METHODS AND ANALYSIS The EMPAR (Einfluss metabolischer Profile auf die Arzneimitteltherapiesicherheit in der Routineversorgung) study is a non-interventional cohort study conducted to analyse pharmacogenetic risk factors that are important for drug therapy by means of endpoints relevant for healthcare. The analysis is based on pharmacogenetic profiles and statutory health insurance data. We perform pharmacogenetic, pharmacoepidemiological and pharmacoeconomic analyses using health care utilisation scores and machine learning techniques. Therefore, we aim to include about 10 000 patients (≥18 years) insured by the health insurance provider Techniker Krankenkasse. The study focuses on patients with prescriptions of anticoagulants and prescriptions of cholesterol-lowering drugs. Also, a screening for special pharmacogenetic characteristics will be performed in patients with at least one Y57.9! diagnosis (Complication of medical and surgical care: drug or medicament, unspecified). Outcomes include the utilisation of health insurance services, the incidence of incapacity for work and costs for drugs and treatment. ETHICS AND DISSEMINATION The protocol was approved by the Ethics Committee of the Medical Faculty, University of Bonn (Lfd. Nr. 339/17). The results of this research project will be published in scientific open access journals and at conferences. TRIAL REGISTRATION NUMBER German Clinical Trials Register, DRKS00013909.
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Affiliation(s)
- Tatjana Huebner
- Research Division, Federal Institute for Drugs and Medical Devices, Bonn, North Rhine-Westphalia, Germany
| | - Michael Steffens
- Research Division, Federal Institute for Drugs and Medical Devices, Bonn, North Rhine-Westphalia, Germany
| | | | - Jochen Fracowiak
- Research Division, Federal Institute for Drugs and Medical Devices, Bonn, North Rhine-Westphalia, Germany
| | | | | | | | - Christoph Roethlein
- Population Health Sciences, German Centre for Neurodegenerative Diseases, Bonn, North Rhine-Westphalia, Germany
| | - Willy Gomm
- Population Health Sciences, German Centre for Neurodegenerative Diseases, Bonn, North Rhine-Westphalia, Germany
| | - Britta Haenisch
- Research Division, Federal Institute for Drugs and Medical Devices, Bonn, North Rhine-Westphalia, Germany
- Population Health Sciences, German Centre for Neurodegenerative Diseases, Bonn, North Rhine-Westphalia, Germany
- Centre for Translational Medicine, University of Bonn, Bonn, North Rhine-Westphalia, Germany
| | - Julia Stingl
- Institute for Clinical Pharmacology, RWTH Aachen University, Aachen, North Rhine-Westphalia, Germany
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