Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, Columbus Ohio (W.S., A.E.T.); Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida (D.W.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania (K.H.); Department of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (W.S.); and Aether Therapeutics, Austin, Texas (W.S.)
Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, Columbus Ohio (W.S., A.E.T.); Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida (D.W.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania (K.H.); Department of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (W.S.); and Aether Therapeutics, Austin, Texas (W.S.).
Pharmacol Rev. 2023 Jul;75(4):789-814. doi: 10.1124/pharmrev.122.000810. Epub 2023 Mar 16.
Personalized medicine tailors therapies, disease prevention, and health maintenance to the individual, with pharmacogenomics serving as a key tool to improve outcomes and prevent adverse effects. Advances in genomics have transformed pharmacogenetics, traditionally focused on single gene-drug pairs, into pharmacogenomics, encompassing all "-omics" fields (e.g., proteomics, transcriptomics, metabolomics, and metagenomics). This review summarizes basic genomics principles relevant to translation into therapies, assessing pharmacogenomics' central role in converging diverse elements of personalized medicine. We discuss genetic variations in pharmacogenes (drug-metabolizing enzymes, drug transporters, and receptors), their clinical relevance as biomarkers, and the legacy of decades of research in pharmacogenetics. All types of therapies, including proteins, nucleic acids, viruses, cells, genes, and irradiation, can benefit from genomics, expanding the role of pharmacogenomics across medicine. Food and Drug Administration approvals of personalized therapeutics involving biomarkers increase rapidly, demonstrating the growing impact of pharmacogenomics. A beacon for all therapeutic approaches, molecularly targeted cancer therapies highlight trends in drug discovery and clinical applications. To account for human complexity, multicomponent biomarker panels encompassing genetic, personal, and environmental factors can guide diagnosis and therapies, increasingly involving artificial intelligence to cope with extreme data complexities. However, clinical application encounters substantial hurdles, such as unknown validity across ethnic groups, underlying bias in health care, and real-world validation. This review address the underlying science and technologies germane to pharmacogenomics and personalized medicine, integrated with economic, ethical, and regulatory issues, providing insights into the current status and future direction of health care. SIGNIFICANCE STATEMENT: Personalized medicine aims to optimize health care for the individual patients with use of predictive biomarkers to improve outcomes and prevent adverse effects. Pharmacogenomics drives biomarker discovery and guides the development of targeted therapeutics. This review addresses basic principles and current trends in pharmacogenomics, with large-scale data repositories accelerating medical advances. The impact of pharmacogenomics is discussed, along with hurdles impeding broad clinical implementation, in the context of clinical care, ethics, economics, and regulatory affairs.
个性化医疗根据个体情况定制治疗、疾病预防和健康维护方案,其中药物基因组学是改善治疗效果和预防不良反应的关键工具。基因组学的进步将传统上专注于单基因-药物对的药物遗传学转变为涵盖所有“组学”领域(如蛋白质组学、转录组学、代谢组学和宏基因组学)的药物基因组学。本文综述了与转化为治疗相关的基本基因组学原理,评估了药物基因组学在汇聚个性化医疗各要素方面的核心作用。我们讨论了药物基因(药物代谢酶、药物转运体和受体)中的遗传变异、它们作为生物标志物的临床相关性,以及药物遗传学数十年研究的遗留问题。所有类型的治疗方法,包括蛋白质、核酸、病毒、细胞、基因和辐射,都可以从基因组学中受益,从而扩大药物基因组学在医学中的作用。涉及生物标志物的个性化治疗药物的美国食品和药物管理局批准数量迅速增加,这表明药物基因组学的影响越来越大。作为所有治疗方法的典范,分子靶向癌症治疗突出了药物发现和临床应用的趋势。为了考虑到人类的复杂性,包含遗传、个人和环境因素的多成分生物标志物组合可以指导诊断和治疗,越来越多地涉及人工智能来应对极端的数据复杂性。然而,临床应用面临着重大障碍,例如在不同种族群体中的有效性未知、医疗保健中的潜在偏见以及真实世界的验证。本文综述了与药物基因组学和个性化医疗相关的基础科学和技术,同时考虑了经济、伦理和监管问题,为医疗保健的现状和未来方向提供了深入的见解。
个性化医疗旨在通过使用预测生物标志物来优化针对个体患者的医疗保健,以改善治疗效果和预防不良反应。药物基因组学推动了生物标志物的发现,并指导了靶向治疗药物的开发。本文综述了药物基因组学的基本原理和当前趋势,大规模的数据存储库加速了医学的进步。讨论了药物基因组学的影响,以及在临床护理、伦理、经济和监管事务的背景下,阻碍其广泛临床应用的障碍。