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Mehta D, Uber R, Ingle T, Li C, Liu Z, Thakkar S, Ning B, Wu L, Yang J, Harris S, Zhou G, Xu J, Tong W, Lesko L, Fang H. Study of pharmacogenomic information in FDA-approved drug labeling to facilitate application of precision medicine. Drug Discov Today 2020; 25:813-820. [PMID: 32032705 DOI: 10.1016/j.drudis.2020.01.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 01/09/2020] [Accepted: 01/29/2020] [Indexed: 12/01/2022]
Abstract
Pharmacogenomics (PGx), studying the relationship between drug response and genetic makeup of an individual, is accelerating advances in precision medicine. The FDA includes PGx information in the labeling of approved drugs to better inform on their safety and effectiveness. We herein present a summary of PGx information found in 261 prescription drug labeling documents by querying the publicly available FDALabel database. A total of 362 drug-biomarker pairs (DBPs) were identified. We profiled DBPs using frequency of the biomarkers and their therapeutic classes. Four categories of applications (indication, safety, dosing and information) were discussed according to information in labeling. This analysis facilitates better understanding, utilization and translation of PGx information in drug labeling among researchers, healthcare professionals and the public.
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Affiliation(s)
- Darshan Mehta
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Ryley Uber
- Department of Pharmacy and Therapeutics, University of Pittsburg, Pittsburgh, PA 15213, USA
| | - Taylor Ingle
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Catherine Li
- Office of Translational Sciences, Center for Drug Evaluation and Research, US FDA, Silver Spring, MD 20993, USA
| | - Zhichao Liu
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Shraddha Thakkar
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Baitang Ning
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Leihong Wu
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Junshuang Yang
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Steve Harris
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Guangxu Zhou
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Joshua Xu
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA
| | - Weida Tong
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA.
| | - Lawrence Lesko
- College of Pharmacy, University of Florida, Orlando, FL 32827, USA.
| | - Hong Fang
- National Center for Toxicological Research, US FDA, Jefferson, AR 72079, USA.
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Aruoma OI, Hausman-Cohen S, Pizano J, Schmidt MA, Minich DM, Joffe Y, Brandhorst S, Evans SJ, Brady DM. Personalized Nutrition: Translating the Science of NutriGenomics Into Practice: Proceedings From the 2018 American College of Nutrition Meeting. J Am Coll Nutr 2019; 38:287-301. [DOI: 10.1080/07315724.2019.1582980] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Okezie I Aruoma
- California State University Los Angeles, Los Angeles, California, USA
- Southern California University of Health Sciences, Whittier, California, USA
| | | | - Jessica Pizano
- Nutritional Genomics Institute, SNPed, and OmicsDX, Chasterfield, Virginia, USA
| | - Michael A. Schmidt
- Advanced Pattern Analysis & Countermeasures Group, Boulder, Colorado, USA
- Sovaris Aerospace, Boulder, Colorado, USA
| | - Deanna M. Minich
- University of Western States, Portland, Oregon, USA
- Institute for Functional Medicine, Federal Way, Washington, USA
| | - Yael Joffe
- 3X4 Genetics and Manuka Science, Cape Town, South Africa
| | | | | | - David M. Brady
- University of Bridgeport, Bridgeport, Connecticut, USA
- Whole Body Medicine, Fairfield, Connecticut, USA
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Schuck RN, Grillo JA. Pharmacogenomic Biomarkers: an FDA Perspective on Utilization in Biological Product Labeling. AAPS J 2016; 18:573-7. [PMID: 26912182 PMCID: PMC5256609 DOI: 10.1208/s12248-016-9891-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 02/15/2016] [Indexed: 11/30/2022] Open
Abstract
Precision medicine promises to improve both the efficacy and safety of therapeutic products by better informing why some patients respond well to a drug, and some experience adverse reactions, while others do not. Pharmacogenomics is a key component of precision medicine and can be utilized to select optimal doses for patients, more precisely identify individuals who will respond to a treatment and avoid serious drug-related toxicities. Since pharmacogenomic biomarker information can help inform drug dosing, efficacy, and safety, pharmacogenomic data are critically reviewed by FDA staff to ensure effective use of pharmacogenomic strategies in drug development and appropriate incorporation into product labels. Pharmacogenomic information may be provided in drug or biological product labeling to inform health care providers about the impact of genotype on response to a drug through description of relevant genomic markers, functional effects of genomic variants, dosing recommendations based on genotype, and other applicable genomic information. The format and content of labeling for biologic drugs will generally follow that of small molecule drugs; however, there are notable differences in pharmacogenomic information that might be considered useful for biologic drugs in comparison to small molecule drugs. Furthermore, the rapid entry of biologic drugs for treatment of rare genetic diseases and molecularly defined subsets of common diseases will likely lead to increased use of pharmacogenomic information in biologic drug labels in the near future. In this review, we outline the general principles of therapeutic product labeling and discuss the utilization of pharmacogenomic information in biologic drug labels.
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Affiliation(s)
- Robert N Schuck
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research,U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
| | - Joseph A Grillo
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research,U.S. Food and Drug Administration, Silver Spring, Maryland, USA
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