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Kawabata-Iwakawa R, Iwasa N, Satoh K, Colinge J, Shimada M, Takeuchi S, Fujiwara H, Eguchi H, Oishi T, Sugiyama T, Suzuki M, Hasegawa K, Fujiwara K, Nishiyama M. Prediction of response to promising first-line chemotherapy in ovarian cancer patients with residual peritoneal tumors: practical biomarkers and robust multiplex models. Int J Clin Oncol 2024:10.1007/s10147-024-02552-w. [PMID: 38767719 DOI: 10.1007/s10147-024-02552-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 05/14/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Platinum/taxane (TC) chemotherapy with debulking surgery stays the mainstay of the treatment in ovarian cancer patients with peritoneal metastasis, and recently its novel modality, intraperitoneal carboplatin with dose-dense paclitaxel (ddTCip), was shown to have greater therapeutic impact. Nevertheless, the response varies among patients and consequent recurrence, or relapse often occurs. Discovery of therapeutic response predictor to ddTCip and/or TC therapy is eagerly awaited to improve the treatment outcome. METHODS Using datasets in 76 participants in our ddTCip study and published databases on patients received TC therapy, we first validated a total of 75 previously suggested markers, sought out more active biomarkers through the association analyses of genome-wide transcriptome and genotyping data with progression-free survival (PFS) and adverse events, and then developed multiplex statistical prediction models for PFS and toxicity by mainly using multiple regression analysis and the classification and regression tree (CART) algorithm. RESULTS The association analyses revealed that SPINK1 could be a possible biomarker of ddTCip efficacy, while ABCB1 rs1045642 and ERCC1 rs11615 would be a predictor of hematologic toxicity and peripheral neuropathy, respectively. Multiple regression analyses and CART algorithm finally provided a potent efficacy prediction model using 5 gene expression data and robust multiplex toxicity prediction models-CART models using a total of 4 genotype combinations and multiple regression models using 15 polymorphisms on 12 genes. CONCLUSION Biomarkers and multiplex models composed here could work well in the response prediction of ddTCip and/or TC therapy, which might contribute to realize optimal selection of the key therapy.
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Grants
- DOFMET-08 Development Organization for Frontier Medical Education and Therapeutics in Japan
- DOFMET-08 Development Organization for Frontier Medical Education and Therapeutics in Japan
- H21-3rd Comprehensive 10-year Strategy for Cancer Control-010 Ministry of Health, Labour and Welfare
- University Reform Action Plan "Gunma University Initiative for Advanced Research (GIAR) Ministry of Education, Culture, Sports, Science, and Technology (JP)
- University Reform Action Plan "Gunma University Initiative for Advanced Research (GIAR) Ministry of Education, Culture, Sports, Science, and Technology (JP)
- University Reform Action Plan "Gunma University Initiative for Advanced Research (GIAR)" Ministry of Education, Culture, Sports, Science, and Technology (JP)
- University Reform Action Plan "Gunma University Initiative for Advanced Research (GIAR)" Ministry of Education, Culture, Sports, Science, and Technology (JP)
- Promotion Plan for the Platform of Human Resource Development for Cancer Ministry of Education, Culture, Sports, Science, and Technology (JP)
- the Fostering Health Professionals for Changing Needs of Cancer Ministry of Education, Culture, Sports, Science, and Technology (JP)
- New Paradigms - Establishing Center for Fostering Medical Researchers of the Future Programs Ministry of Education, Culture, Sports, Science, and Technology (JP)
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Affiliation(s)
- Reika Kawabata-Iwakawa
- Division of Integrated Oncology Research, Gunma University Initiative for Advanced Research, Gunma University, Maebashi, Gunma, 371-8511, Japan
- Research Unit and Immunology and Inflammation, Department of Translational Research, Division of Sohyaku Innovative Research, Tanabe Mitsubishi Pharma, Osaka, Japan
| | - Norihiro Iwasa
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, 350-1298, Japan
| | - Kenichi Satoh
- Faculty of Data Science, Shiga University, Hikone, Shiga, 522-8522, Japan
| | - Jacques Colinge
- Cancer Bioinformatics and System Biology, Institute of Cancer Research of Montpellier (IRCM), Inserm, University of Montpellier, ICM, 34298, Montpellier, France
| | - Muneaki Shimada
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8574, Japan
- Department of Obstetrics and Gynecology, Tottori University School of Medicine, Yonago, Tottori, 683-8504, Japan
| | - Satoshi Takeuchi
- Department of Gynecology, Kobe Tokushukai Hospital, Kobe, Hyogo, 655-0017, Japan
- Department of Obstetrics and Gynecology, Iwate Medical University, Morioka, Iwate, 020-8505, Japan
| | - Hiroyuki Fujiwara
- Department of Obstetrics and Gynecology, Jichi Medical University, Shimotsuke, Tochigi, 329-0498, Japan
| | - Hidetaka Eguchi
- Division of Translational Research, Research Center for Genomic Medicine, Saitama Medical University, Hidaka, Saitama, 350-1241, Japan
- Diagnosis and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Tetsuro Oishi
- Department of Obstetrics and Gynecology, Tottori University School of Medicine, Yonago, Tottori, 683-8504, Japan
- Department of Obstetrics and Gynecology, Matsue City Hospital, Matsue, Shimane, 690-8509, Japan
| | - Toru Sugiyama
- Department of Obstetrics and Gynecology, Iwate Medical University, Morioka, Iwate, 020-8505, Japan
- Department of Obstetrics and Gynecology, St. Mary's Hospital, Kurume, Fukuoka, 830-8543, Japan
| | - Mitsuaki Suzuki
- Department of Obstetrics and Gynecology, Tottori University School of Medicine, Yonago, Tottori, 683-8504, Japan
| | - Kosei Hasegawa
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, 350-1298, Japan
- Project Research Division, Research Center for Genomic Medicine, Saitama Medical University, Hidaka, Saitama, 350-1241, Japan
| | - Keiichi Fujiwara
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, 350-1298, Japan
- Project Research Division, Research Center for Genomic Medicine, Saitama Medical University, Hidaka, Saitama, 350-1241, Japan
| | - Masahiko Nishiyama
- Division of Integrated Oncology Research, Gunma University Initiative for Advanced Research, Gunma University, Maebashi, Gunma, 371-8511, Japan.
- Division of Translational Research, Research Center for Genomic Medicine, Saitama Medical University, Hidaka, Saitama, 350-1241, Japan.
- Project Research Division, Research Center for Genomic Medicine, Saitama Medical University, Hidaka, Saitama, 350-1241, Japan.
- Laboratory for Analytical Instruments, Education and Research Support Center, Gunma University Graduate School of Medicine, 3-39-22 Showa-Machi, Maebashi, Gunma, 371-8511, Japan.
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French EL, Kader L, Young EE, Fontes JD. Physician Perception of the Importance of Medical Genetics and Genomics in Medical Education and Clinical Practice. MEDICAL EDUCATION ONLINE 2023; 28:2143920. [PMID: 36345884 PMCID: PMC9648379 DOI: 10.1080/10872981.2022.2143920] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/31/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
PURPOSE The objective of this study was to determine physician perceptions regarding the importance of and comfort with the use of medical genetics and genomics in medical education and practice, as well as physician expectations for medical trainees. METHODS A retrospective survey was sent to physicians employed by a health system associated with a public medical school to assess their perceived training in medical genetics and genomics and their comfort level with ordering genetic testing. METHODS Despite reporting formal genetics training in medical schools, clinicians' comfort with and knowledge in this content area does not meet personal expectations of competency. Though physicians report some discomfort with the use of medical genetics and genomics, the majority also believe that its impact on practice will increase in the next five years. Survey recipients were also asked about their expectations for preparation in the same domains for medical students and incoming residents. The surveyed physicians expect a high level of competency for medical students and incoming residents. METHODS Our study revealed that practicing physicians feel current medical curricula do not produce physicians with the necessary competency in medical genetics and genomics. This is despite physicians' perceived importance of this domain in medical practice. Our findings suggest a need for re-evaluation of medical genetics and genomics education at all levels of training.
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Affiliation(s)
| | - Leena Kader
- Department of Anatomy and Cell Biology, University of Kansas School of Medicine, Kansas City, KS, USA
| | - Erin E. Young
- Department of Anesthesiology, University of Kansas School of Medicine, Kansas City, KS, USA
| | - Joseph D. Fontes
- Department of Biochemistry and Molecular Biology, University of Kansas School of Medicine, Kansas City, KS, USA
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3
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Almohaish S, Cook AM, Brophy GM, Rhoney DH. Personalized antiseizure medication therapy in critically ill adult patients. Pharmacotherapy 2023; 43:1166-1181. [PMID: 36999346 DOI: 10.1002/phar.2797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/01/2023] [Accepted: 03/08/2023] [Indexed: 04/01/2023]
Abstract
Precision medicine has the potential to have a significant impact on both drug development and patient care. It is crucial to not only provide prompt effective antiseizure treatment for critically ill patients after seizures start but also have a proactive mindset and concentrate on epileptogenesis and the underlying cause of the seizures or seizure disorders. Critical illness presents different treatment issues compared with the ambulatory population, which makes it challenging to choose the best antiseizure medications and to administer them at the right time and at the right dose. Since there is a paucity of information available on antiseizure medication dosing in critically ill patients, therapeutic drug monitoring is a useful tool for defining each patient's personal therapeutic range and assisting clinicians in decision-making. Use of pharmacogenomic information relating to pharmacokinetics, hepatic metabolism, and seizure etiology may improve safety and efficacy by individualizing therapy. Studies evaluating the clinical implementation of pharmacogenomic information at the point-of-care and identification of biomarkers are also needed. These studies may make it possible to avoid adverse drug reactions, maximize drug efficacy, reduce drug-drug interactions, and optimize medications for each individual patient. This review will discuss the available literature and provide future insights on precision medicine use with antiseizure therapy in critically ill adult patients.
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Affiliation(s)
- Sulaiman Almohaish
- Department of Pharmacotherapy & Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Pharmacy Practice, Clinical Pharmacy College, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Aaron M Cook
- Department of Pharmacy Practice and Science, College of Pharmacy, University of Kentucky, Lexington, Kentucky, USA
| | - Gretchen M Brophy
- Department of Pharmacotherapy & Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Denise H Rhoney
- Division of Practice Advancement and Clinical Education, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA
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4
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Zhao Q, Chen Y, Huang W, Zhou H, Zhang W. Drug-microbiota interactions: an emerging priority for precision medicine. Signal Transduct Target Ther 2023; 8:386. [PMID: 37806986 PMCID: PMC10560686 DOI: 10.1038/s41392-023-01619-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 07/20/2023] [Accepted: 08/24/2023] [Indexed: 10/10/2023] Open
Abstract
Individual variability in drug response (IVDR) can be a major cause of adverse drug reactions (ADRs) and prolonged therapy, resulting in a substantial health and economic burden. Despite extensive research in pharmacogenomics regarding the impact of individual genetic background on pharmacokinetics (PK) and pharmacodynamics (PD), genetic diversity explains only a limited proportion of IVDR. The role of gut microbiota, also known as the second genome, and its metabolites in modulating therapeutic outcomes in human diseases have been highlighted by recent studies. Consequently, the burgeoning field of pharmacomicrobiomics aims to explore the correlation between microbiota variation and IVDR or ADRs. This review presents an up-to-date overview of the intricate interactions between gut microbiota and classical therapeutic agents for human systemic diseases, including cancer, cardiovascular diseases (CVDs), endocrine diseases, and others. We summarise how microbiota, directly and indirectly, modify the absorption, distribution, metabolism, and excretion (ADME) of drugs. Conversely, drugs can also modulate the composition and function of gut microbiota, leading to changes in microbial metabolism and immune response. We also discuss the practical challenges, strategies, and opportunities in this field, emphasizing the critical need to develop an innovative approach to multi-omics, integrate various data types, including human and microbiota genomic data, as well as translate lab data into clinical practice. To sum up, pharmacomicrobiomics represents a promising avenue to address IVDR and improve patient outcomes, and further research in this field is imperative to unlock its full potential for precision medicine.
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Affiliation(s)
- Qing Zhao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, PR China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha, 410078, PR China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, PR China
- National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, PR China
| | - Yao Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, PR China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha, 410078, PR China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, PR China
- National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, PR China
| | - Weihua Huang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, PR China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha, 410078, PR China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, PR China
- National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, PR China
| | - Honghao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, PR China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha, 410078, PR China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, PR China
- National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, PR China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, PR China.
- The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, PR China.
- The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, 510080, PR China.
- Central Laboratory of Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, Changsha, 410013, PR China.
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5
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Biswas M, Jinda P, Sukasem C. Pharmacogenomics in Asians: Differences and similarities with other human populations. Expert Opin Drug Metab Toxicol 2023; 19:27-41. [PMID: 36755439 DOI: 10.1080/17425255.2023.2178895] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 02/07/2023] [Indexed: 02/10/2023]
Abstract
INTRODUCTION Various pharmacogenomic (PGx) variants differ widely in different ethnicities. and clinical outcomes associated with these variants may also be substantially varied. Literature was searched in different databases, i.e. PubMed, ScienceDirect, Web of Science, and PharmGKB, from inception to 30 June 2022 for this review. AREAS COVERED Certain PGx variants were distinctly varied in Asian populations compared to the other human populations, e.g. CYP2C19*2,*3,*17; CYP2C9*2,*3; CYP2D6*4,*5,*10,*41; UGT1A1*6,*28; HLA-B*15:02, HLA-B*15:21, HLA-B*58:01, and HLA-A*31:01. However, certain other variants do not vary greatly between Asian and other ethnicities, e.g. CYP3A5*3; ABCB1, and SLCO1B1*5. As evident in this review, the risk of major adverse cardiovascular events (MACE) was much stronger in Asian patients taking clopidogrel and who inherited the CYP2C19 loss-of-function alleles, e.g. CYP2C19*2 and*3, when compared to the western/Caucasian patients. Additionally, the risk of carbamazepine-induced severe cutaneous adverse drug reactions (SCARs) for the patients inheriting HLA-B*15:02 and HLA-B*15:21 alleles varied significantly between Asian and other ethnicities. In contrast, both Caucasian and Asian patients inheriting the SLCO1B1*5 variant possessed a similar magnitude of muscle toxicity, i.e. myopathy. EXPERT OPINION Asian countries should take measures toward expanding PGx research, as well as initiatives for the purposes of obtaining clinical benefits from this newly evolving and economically viable treatment model.
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Affiliation(s)
- Mohitosh Biswas
- Department of Pharmacy, University of Rajshahi, 6205, Rajshahi, Bangladesh
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Pimonpan Jinda
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
- Pharmacogenomics and Precision Medicine Clinic, Bumrungrad Genomic Medicine Institute (BGMI), Bumrungrad International Hospital, 10110, Bangkok, Thailand
- MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 3GL, Liverpool, UK
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Pasternak AL, Ward K, Irwin M, Okerberg C, Hayes D, Fritsche L, Zoellner S, Virzi J, Choe HM, Ellingrod V. Identifying the prevalence of clinically actionable drug-gene interactions in a health system biorepository to guide pharmacogenetics implementation services. Clin Transl Sci 2022; 16:292-304. [PMID: 36510710 PMCID: PMC9926071 DOI: 10.1111/cts.13449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 10/14/2022] [Accepted: 10/24/2022] [Indexed: 12/15/2022] Open
Abstract
Understanding patterns of drug-gene interactions (DGIs) is important for advancing the clinical implementation of pharmacogenetics (PGx) into routine practice. Prior studies have estimated the prevalence of DGIs, but few have confirmed DGIs in patients with known genotypes and prescriptions, nor have they evaluated clinician characteristics associated with DGI-prescribing. This retrospective chart review assessed prevalence of DGI, defined as a medication prescription in a patient with a PGx phenotype that has a clinical practice guideline recommendation to adjust therapy or monitor drug response, for patients enrolled in a research genetic biorepository linked to electronic health records (EHRs). The prevalence of prescriptions for medications with pharmacogenetic (PGx) guidelines, proportion of prescriptions with DGI, location of DGI prescription, and clinical service of the prescriber were evaluated descriptively. Seventy-five percent (57,058/75,337) of patients had a prescription for a medication with a PGx guideline. Up to 60% (n = 26,067/43,647) of patients had at least one DGI when considering recommendations to adjust or monitor therapy based on genotype. The majority (61%) of DGIs occurred in outpatient prescriptions. Proton pump inhibitors were the most common DGI medication for 11 of 12 clinical services. Almost 25% of patients (n = 10,706/43,647) had more than one unique DGI, and, among this group of patients, 61% had a DGI with more than one gene. These findings can inform future clinical implementation by identifying key stakeholders for initial DGI prescriptions, helping to inform workflows. The high prevalence of multigene interactions identified also support the use of panel PGx testing as an implementation strategy.
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Affiliation(s)
- Amy L. Pasternak
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Kristen Ward
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Madison Irwin
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Carl Okerberg
- Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - David Hayes
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA
| | - Lars Fritsche
- Department of BiostatisticsUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Sebastian Zoellner
- Department of BiostatisticsUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Jessica Virzi
- Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Hae Mi Choe
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Vicki Ellingrod
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA
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7
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Miltyk W, Patrinos GP, Verstuyft C, Coenen M, Tafazoli A. Editorial: Translation and implementation of pharmacogenomic testing in daily clinical practice: Considering current challenges and future needs. Front Pharmacol 2022; 13:1053027. [DOI: 10.3389/fphar.2022.1053027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 10/18/2022] [Indexed: 11/13/2022] Open
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8
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de Lara DV, de Melo DO, Kawakami DY, Gonçalves TS, Santos PC. Pharmacogenetic testing-guided treatment for oncology: an overview of reviews. Pharmacogenomics 2022; 23:739-748. [PMID: 36001087 DOI: 10.2217/pgs-2022-0064] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Pharmacogenetics is the relationship between an individual's genetic variations and their response to pharmacological treatment. We conducted an overview of reviews on the use of post-treatment pharmacogenetic testing for oncology, based on clinically relevant gene-drug pairs. We conducted a search on Medline, Embase and Cochrane Library, from their inception to 18 June 2020. We selected six eligible systematic reviews. The most studied drug categories were estrogen agonists/antagonists and fluoropyrimidines associated with cytochrome P450 and dihydropyrimidine dehydrogenase genes (CYP2D6 and DPYD), but many studies were classified as being of critically low or low quality. There is a need for more high-quality primary studies and systematic reviews that assess the risk of bias, with consistent definitions of clinical outcomes to consider the benefits of pharmacogenetic testing for oncology.
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Affiliation(s)
- Danilo Vieira de Lara
- Department of Pharmacology, Escola Paulista de Medicina, Universidade Federal de São Paulo, EPM - Unifesp, São Paulo, 04044-020, Brazil
| | - Daniela Oliveira de Melo
- Institute of Environmental Sciences, Chemistry & Pharmaceuticals, Department of Pharmaceutical Sciences, Universidade Federal de São Paulo, Diadema, São Paulo, 09913-030, Brazil
| | - Daniele Y Kawakami
- Institute of Environmental Sciences, Chemistry & Pharmaceuticals, Department of Pharmaceutical Sciences, Universidade Federal de São Paulo, Diadema, São Paulo, 09913-030, Brazil
| | - Thuane S Gonçalves
- Department of Pharmacology, Escola Paulista de Medicina, Universidade Federal de São Paulo, EPM - Unifesp, São Paulo, 04044-020, Brazil
| | - Paulo Cjl Santos
- Department of Pharmacology, Escola Paulista de Medicina, Universidade Federal de São Paulo, EPM - Unifesp, São Paulo, 04044-020, Brazil
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9
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Albalwy F, McDermott JH, Newman WG, Brass A, Davies A. A blockchain-based framework to support pharmacogenetic data sharing. THE PHARMACOGENOMICS JOURNAL 2022; 22:264-275. [PMID: 35869255 DOI: 10.1038/s41397-022-00285-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 06/22/2022] [Accepted: 07/01/2022] [Indexed: 12/11/2022]
Abstract
The successful implementation of pharmacogenetics (PGx) into clinical practice requires patient genomic data to be shared between stakeholders in multiple settings. This creates a number of barriers to widespread adoption of PGx, including privacy concerns related to the storage and movement of identifiable genomic data. Informatic solutions that support secure and equitable data access for genomic data are therefore important to PGx. Here we propose a methodology that uses smart contracts implemented on a blockchain-based framework, PGxChain, to address this issue. The design requirements for PGxChain were identified through a systematic literature review, identifying technical challenges and barriers impeding the clinical implementation of pharmacogenomics. These requirements included security and privacy, accessibility, interoperability, traceability and legal compliance. A proof-of-concept implementation based on Ethereum was then developed that met the design requirements. PGxChain's performance was examined using Hyperledger Caliper for latency, throughput, and transaction success rate. The findings clearly indicate that blockchain technology offers considerable potential to advance pharmacogenetic data sharing, particularly with regard to PGx data security and privacy, large-scale accessibility of PGx data, PGx data interoperability between multiple health care providers and compliance with data-sharing laws and regulations.
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Affiliation(s)
- F Albalwy
- Department of Computer Science, Kilburn Building, University of Manchester, Oxford Road, Manchester, M13 9PL, UK. .,Department of Computer Science, College of Computer Science and Engineering, Taibah University, Madinah, Saudi Arabia. .,Division of Informatics, Imaging and Data Sciences, Stopford Building, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
| | - J H McDermott
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.,Division of Evolution Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK
| | - W G Newman
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.,Division of Evolution Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK
| | - A Brass
- Department of Computer Science, Kilburn Building, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.,Division of Informatics, Imaging and Data Sciences, Stopford Building, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - A Davies
- Division of Informatics, Imaging and Data Sciences, Stopford Building, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
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Farinango C, Gallardo-Cóndor J, Freire-Paspuel B, Flores-Espinoza R, Jaramillo-Koupermann G, López-Cortés A, Burgos G, Tejera E, Cabrera-Andrade A. Genetic Variations of the DPYD Gene and Its Relationship with Ancestry Proportions in Different Ecuadorian Trihybrid Populations. J Pers Med 2022; 12:jpm12060950. [PMID: 35743735 PMCID: PMC9225136 DOI: 10.3390/jpm12060950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 05/26/2022] [Accepted: 06/01/2022] [Indexed: 11/16/2022] Open
Abstract
Dihydropyrimidine dehydrogenase is one of the main pharmacological metabolizers of fluoropyrimidines, a group of drugs widely used in clinical oncology. Around 20 to 30% of patients treated with fluoropyrimidines experience severe toxicity caused by a partial or total decrease in enzymatic activity. This decrease is due to molecular variants in the DPYD gene. Their prevalence and allelic frequencies vary considerably worldwide, so their description in heterogeneous groups such as the Ecuadorian population will allow for the description of pharmacogenetic variants and proper characterization of this population. Thus, we genotyped all the molecular variants with a predictive value for DPYD in a total of 410 Ecuadorian individuals belonging to Mestizo, Afro-Ecuadorian, and Indigenous ethnic groups. Moreover, we developed a genetic ancestry analysis using 46 autosomal ancestry informative markers. We determined 20 genetic variations in 5 amplified regions, including 3 novel single nucleotide variants. The allele frequencies for DPYD variants c.1627G>A (*5, rs1801159), c.1129-15T>C (rs56293913), c.1218G>A (rs61622928), rs1337752, rs141050810, rs2786783, rs2811178, and g.97450142G>A (chr1, GRCh38.p13) are significantly related to Native American and African ancestry proportions. In addition, the FST calculated from these variants demonstrates the closeness between Indigenous and Mestizo populations, and evidences genetic divergence between Afro-Ecuadorian groups when compared with Mestizo and Indigenous ethnic groups. In conclusion, the genetic variability in the DPYD gene is related to the genetic component of ancestral populations in different Ecuadorian ethnic groups. The absence and low frequency of variants with predictive value for fluoropyrimidine toxicity such as DPYD *2A, HapB3, and c.2846A>T (prevalent in populations with European ancestry) is consistent with the genetic background found.
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Affiliation(s)
- Camila Farinango
- Facultad de Ingeniería y Ciencias Aplicadas, Universidad de Las Américas, Quito 170125, Ecuador; (C.F.); (J.G.-C.); (E.T.)
| | - Jennifer Gallardo-Cóndor
- Facultad de Ingeniería y Ciencias Aplicadas, Universidad de Las Américas, Quito 170125, Ecuador; (C.F.); (J.G.-C.); (E.T.)
| | - Byron Freire-Paspuel
- Laboratorios de Investigación, Universidad de Las Américas, Quito 170125, Ecuador; (B.F.-P.); (R.F.-E.)
- Vall d’Hebron Research Institute, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain
| | - Rodrigo Flores-Espinoza
- Laboratorios de Investigación, Universidad de Las Américas, Quito 170125, Ecuador; (B.F.-P.); (R.F.-E.)
- Laboratório de Diagnóstico por DNA (LDD), Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20550-013, Brazil
| | - Gabriela Jaramillo-Koupermann
- Laboratorio de Biología Molecular, Subproceso de Anatomía Patológica, Hospital de Especialidades Eugenio Espejo, Quito 170403, Ecuador;
| | - Andrés López-Cortés
- Escuela de Medicina, Facultad de Ciencias de la Salud, Universidad de Las Américas, Quito 170125, Ecuador; (A.L.-C.); (G.B.)
- Programa de Investigación en Salud Global, Facultad de Ciencias de la Salud, Universidad Internacional SEK, Quito 170302, Ecuador
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28001 Madrid, Spain
| | - Germán Burgos
- Escuela de Medicina, Facultad de Ciencias de la Salud, Universidad de Las Américas, Quito 170125, Ecuador; (A.L.-C.); (G.B.)
| | - Eduardo Tejera
- Facultad de Ingeniería y Ciencias Aplicadas, Universidad de Las Américas, Quito 170125, Ecuador; (C.F.); (J.G.-C.); (E.T.)
- Grupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170125, Ecuador
| | - Alejandro Cabrera-Andrade
- Grupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170125, Ecuador
- Carrera de Enfermería, Facultad de Ciencias de la Salud, Universidad de Las Américas, Quito 170125, Ecuador
- Correspondence:
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11
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Begré UBM, Jörger M, Aebi S, Amstutz U, Largiadèr CR. Clinical Implementation of DPYD Pharmacogenetic Testing to Prevent Early-Onset Fluoropyrimidine-Related Toxicity in Cancer Patients in Switzerland. Front Pharmacol 2022; 13:885259. [PMID: 35662713 PMCID: PMC9159275 DOI: 10.3389/fphar.2022.885259] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 04/25/2022] [Indexed: 01/19/2023] Open
Abstract
The implementation of pharmacogenetic testing into clinical practice has been a slow process so far. Here, we review the implementation of pre-treatment testing of dihydropyrimidine dehydrogenase gene (DPYD) risk variants to prevent early-onset fluoropyrimidine (FP)-related toxicity in cancer patients in Switzerland based on data of a large Swiss diagnostic center. In January 2017, the Swiss Federal Office of Public Health introduced the reimbursement of DPYD testing by the compulsory health insurance in Switzerland based on evidence for the clinical relevance of DPYD-risk variants and the cost-effectiveness of pre-treatment testing, and on the availability of international guidelines. However, we did not observe a strong increase in DPYD testing at our diagnostic center from 2017 to 2019. Only a low number of DPYD-testing requests (28-42 per year), concerning mostly retrospective investigations of suspected FP-toxicity, were received. In contrast, we observed a 14-fold increase in DPYD testing together with a strong shift from retrospective to pre-treatment test requests upon the release of recommendations for DPYD testing prior to FP-treatment in April 2020 by the European Medicines Agency. This increase was mainly driven by three geographic regions of Switzerland, where partner institutions of previous research collaborations regarding FP-related toxicity are located and who acted as early-adopting institutions of DPYD testing. Our data suggest the important role of early adopters as accelerators of clinical implementation of pharmacogenetic testing by introducing these policies to their working environment and educating health workers from their own and nearby institutions.
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Affiliation(s)
- Ursina B. M. Begré
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Markus Jörger
- Department of Medical Oncology and Hematology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Stefan Aebi
- Division of Medical Oncology, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Ursula Amstutz
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Carlo R. Largiadèr
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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12
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Li L, Liu R, Peng C, Chen X, Li J. Pharmacogenomics for the efficacy and side effects of antihistamines. Exp Dermatol 2022; 31:993-1004. [PMID: 35538735 DOI: 10.1111/exd.14602] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/01/2022] [Accepted: 05/09/2022] [Indexed: 11/27/2022]
Abstract
Antihistamines, especially H1 antihistamines, are widely used in the treatment of allergic diseases such as urticaria and allergic rhinitis, mainly for reversing elevated histamine and anti-allergic effects. Antihistamines are generally safe, but some patients experience adverse reactions, such as cardiotoxicity, central inhibition, and anticholinergic effects. There are also individual differences in antihistamine efficacy in clinical practice. The concept of individualized medicine has been deeply rooted in people's minds since it was put forward. Pharmacogenomics is the study of the role of inheritance in individual variations in drug response. In recent decades, pharmacogenomics has been developing rapidly, which provides new ideas for individualized medicine. Polymorphisms in the genes encoding metabolic enzymes, transporters, and target receptors have been shown to affect the efficacy of antihistamines. In addition, recent evidence suggests that gene polymorphisms influence urticaria susceptibility and antihistamine therapy. Here, we summarize current reports in this area, aiming to contribute to future research in antihistamines and clinical guidance for antihistamines use in individualized medicine.
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Affiliation(s)
- Liqiao Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Runqiu Liu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Cong Peng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
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13
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de Lara DV, de Melo DO, Araújo Silva LC, Gonçalves TS, Júnior Lima Santos PC. Pharmacogenetics of clopidogrel and warfarin in the treatment of cardiovascular diseases: an overview of reviews. Pharmacogenomics 2022; 23:443-452. [PMID: 35380455 DOI: 10.2217/pgs-2021-0158] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Pharmacogenetics (PGx) is the relationship between an individual's genetic variations and the response to pharmacological treatment. We chose to perform an overview of reviews on PGx testing-guided treatment for cardiovascular diseases, based on clinically relevant gene-drug pairs. We conducted a search on Medline, Embase and Cochrane Library, from their inception to 18 June 2020. The most studied gene-drug pairs were clopidogrel and warfarin associated with cytochrome p450 and vitamin K epoxide reductase complex subunit 1 genes (CYP2C19, CYP2C9 and VKORC1), classified as critically low quality. There is a need for more quality primary studies and systematic reviews that assess the risk of bias, with consistent definitions of clinical outcomes to consider the benefits of PGx testing for cardiovascular diseases.
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Affiliation(s)
- Danilo Vieira de Lara
- Department of Pharmacology, Escola Paulista de Medicina, Universidade Federal de São Paulo, EPM - Unifesp, São Paulo, 04044-020, Brazil
| | - Daniela Oliveira de Melo
- Department of Pharmaceutical Sciences, Institute of Environmental Sciences, Chemistry & Pharmaceuticals, Universidade Federal de São Paulo, Diadema, São Paulo, 09913-030, Brazil
| | - Lucas Caetano Araújo Silva
- Department of Pharmaceutical Sciences, Institute of Environmental Sciences, Chemistry & Pharmaceuticals, Universidade Federal de São Paulo, Diadema, São Paulo, 09913-030, Brazil
| | - Thuane Sales Gonçalves
- Department of Pharmacology, Escola Paulista de Medicina, Universidade Federal de São Paulo, EPM - Unifesp, São Paulo, 04044-020, Brazil
| | - Paulo Caleb Júnior Lima Santos
- Department of Pharmacology, Escola Paulista de Medicina, Universidade Federal de São Paulo, EPM - Unifesp, São Paulo, 04044-020, Brazil
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14
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Real-World Impact of a Pharmacogenomics-Enriched Comprehensive Medication Management Program. J Pers Med 2022; 12:jpm12030421. [PMID: 35330421 PMCID: PMC8949247 DOI: 10.3390/jpm12030421] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/23/2022] [Accepted: 03/07/2022] [Indexed: 02/04/2023] Open
Abstract
The availability of clinical decision support systems (CDSS) and other methods for personalizing medicine now allows evaluation of their real-world impact on healthcare delivery. For example, addressing issues associated with polypharmacy in older patients using pharmacogenomics (PGx) and comprehensive medication management (CMM) is thought to hold great promise for meaningful improvements across the goals of the Quadruple Aim. However, few studies testing these tools at scale, using relevant system-wide metrics, and under real-world conditions, have been published to date. Here, we document a reduction of ~$7000 per patient in direct medical charges (a total of $37 million over 5288 enrollees compared to 22,357 non-enrolled) in Medicare Advantage patients (≥65 years) receiving benefits through a state retirement system over the first 32 months of a voluntary PGx-enriched CMM program. We also observe a positive shift in healthcare resource utilization (HRU) away from acute care services and toward more sustainable and cost-effective primary care options. Together with improvements in medication risk assessment, patient/provider communication via pharmacist-mediated medication action plans (MAP), and the sustained positive trends in HRU, we suggest these results validate the use of a CDSS to unify PGx and CMM to optimize care for this and similar patient populations.
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15
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Haga SB. Revisiting Secondary Information Related to Pharmacogenetic Testing. Front Genet 2021; 12:741395. [PMID: 34659361 PMCID: PMC8517135 DOI: 10.3389/fgene.2021.741395] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/13/2021] [Indexed: 12/22/2022] Open
Abstract
Incidental or secondary findings have been a major part of the discussion of genomic medicine research and clinical applications. For pharmacogenetic (PGx) testing, secondary findings arise due to the pleiotropic effects of pharmacogenes, often related to their endogenous functions. Unlike the guidelines that have been developed for whole exome or genome sequencing applications for management of secondary findings (though slightly different from PGx testing in that these refer to detection of variants in multiple genes, some with clinical significance and actionability), no corresponding guidelines have been developed for PGx clinical laboratories. Nonetheless, patient and provider education will remain key components of any PGx testing program to minimize adverse responses related to secondary findings.
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Affiliation(s)
- Susanne B Haga
- Center for Applied Genomic and Precision Medicine, Duke University School of Medicine, Durham, NC, United States
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16
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Costa M, Blaschke TF, Amara SG, Meyer UA, Insel PA. Introduction to the Theme "Old and New Toxicology: Interfaces with Pharmacology". Annu Rev Pharmacol Toxicol 2021; 61:1-7. [PMID: 33411582 DOI: 10.1146/annurev-pharmtox-092220-033032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The theme of Volume 61 is "Old and New Toxicology: Interfaces with Pharmacology." Old toxicology is exemplified by the authors of the autobiographical articles: B.M. Olivera's work on toxins and venoms from cone snails and P. Taylor's studies of acetylcholinesterase and the nicotinic cholinergic receptor, which serve as sites of action for numerous pesticides and venoms. Other articles in this volume focus on new understanding and new types of toxicology, including (a) arsenic toxicity, which is an ancient poison that, through evolution, has caused most multicellular organisms to express an active arsenic methyltransferase to methylate arsenite, which accelerates the excretion of arsenic from the body; (b) small molecules that react with lipid dicarbonyls, which are now considered the most toxic oxidative stress end products; (c) immune checkpoint inhibitors (ICIs), which have revolutionized cancer therapy but have numerous immune-related adverse events, including cardiovascular complications; (d) autoimmunity caused by the environment; (e) idiosyncratic drug-induced liver disease, which together with the toxicity of ICIs represents new toxicology interfacing with pharmacology; and (f) sex differences in the development of cardiovascular disease, with men more susceptible than women to vascular inflammation that initiates and perpetuates disease. These articles and others in Volume 61 reflect the interface and close integration of pharmacology and toxicology that began long ago but continues today.
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Affiliation(s)
- Max Costa
- Department of Environmental Medicine, NYU Grossman School of Medicine, New York, New York 10010, USA;
| | | | - Susan G Amara
- National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Urs A Meyer
- Biozentrum, University of Basel, CH-4056 Basel, Switzerland
| | - Paul A Insel
- Departments of Pharmacology and Medicine, University of California, San Diego, La Jolla, California 92093, USA
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17
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Lara DVD, Melo DOD, Silva RAM, Santos PCJLD. Pharmacogenetic testing in psychiatry and neurology: an overview of reviews. Pharmacogenomics 2021; 22:505-513. [PMID: 33973477 DOI: 10.2217/pgs-2020-0187] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Pharmacogenetic testing is available to healthcare professionals to guide drug selection and prevent adverse events. However, its implementation in the clinical practice of psychiatry/neurology still has barriers, mainly due to a lack of evidence. We conducted a literature search on Cochrane Library, Embase and Pubmed, from their inception to 18 June 2020. We included 16 published systematic reviews. The most studied drug categories were anticonvulsants and selective serotonin reuptake inhibitors associated with human leukocyte antigen and cytochrome P450 genes (HLA-A, HLA-B, CYP2C9, CYP2D6, CYP2C19), classified as critically low quality/low quality. There is a need for more robust studies with adequate design to assess the potential benefits of adopting pharmacogenetics in health systems and services.
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Affiliation(s)
- Danilo Vieira de Lara
- Department of Pharmacology, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Daniela Oliveira de Melo
- Department of Pharmaceutical Sciences, Institute of Environmental Sciences, Chemistry and Pharmaceuticals, Universidade Federal de São Paulo, Diadema, São Paulo, Brazil
| | - Rafael Augusto Mantovani Silva
- Department of Pharmaceutical Sciences, Institute of Environmental Sciences, Chemistry and Pharmaceuticals, Universidade Federal de São Paulo, Diadema, São Paulo, Brazil
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18
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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 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] [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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