通过药物基因组学加强乳腺癌治疗:叙述性综述。

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2024-07-26 DOI:10.1016/j.cca.2024.119893
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引用次数: 0

摘要

药物基因组学已成为乳腺癌个性化医疗不可或缺的一部分,它利用对基因的深入了解来定制治疗策略并提高患者的治疗效果。了解基因变异如何影响药物代谢、反应和毒性,对于指导治疗选择和给药方案至关重要。药物代谢酶和转运体的基因多态性对药物代谢动力学的变异有很大影响,从而影响化疗药物和靶向疗法的疗效和安全性。与乳腺癌激素受体状态和突变相关的生物标志物是决定治疗反应的关键因素,有助于选择疗法。尽管在了解乳腺癌药物基因组学方面取得了重大进展,但仍需努力确定新的遗传标记物并完善治疗优化策略。全基因组关联研究和先进的测序技术有望发现药物反应变异的基因决定因素,并阐明复杂的药物基因组相互作用。乳腺癌药物基因组学的未来在于实时治疗监测、发现更多的预测标志物以及将药物基因组学数据无缝整合到临床决策过程中。然而,要将药物基因组学的发现转化为常规临床实践,需要各利益相关方通力合作,共同应对实施过程中的挑战,并确保基因检测的公平可及性。通过接受药物基因组学,临床医生可以为患者量身定制治疗方法,最大限度地提高治疗效果,同时减少不良反应。本综述讨论了药物基因组学在乳腺癌治疗中的整合,强调了了解基因对治疗反应和毒性影响的重要性,以及先进技术在完善治疗策略方面的潜力。
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Enhancing breast cancer treatment through pharmacogenomics: A narrative review

Pharmacogenomics has become integral to personalised medicine in breast cancer, utilising genetic insights to customize treatment strategies and enhance patient outcomes. Understanding how genetic variations influence drug metabolism, response, and toxicity is crucial for guiding treatment selection and dosing regimens. Genetic polymorphisms in drug-metabolizing enzymes and transporters significantly impact pharmacokinetic variability, influencing the efficacy and safety of chemotherapy agents and targeted therapies. Biomarkers associated with the hormone receptor status of breast cancer and mutations serve as key determinants of treatment response, aiding in the selection of therapies. Despite substantial progress in understanding the pharmacogenomic landscape of breast cancer, efforts to identify novel genetic markers and refine treatment optimisation strategies are required. Genome-wide association studies and advanced sequencing technologies hold promise for uncovering genetic determinants of drug response variability and elucidating complex pharmacogenomic interactions. The future of pharmacogenomics in breast cancer lies in real-time treatment monitoring, the discovery of additional predictive markers, and the seamless integration of pharmacogenomic data into clinical decision-making processes. However, translating pharmacogenomic discoveries into routine clinical practice requires collaborative efforts among stakeholders to address implementation challenges and ensure equitable access to genetic testing. By embracing pharmacogenomics, clinicians can tailor treatment approaches to individual patients, maximizing therapeutic benefits while minimizing adverse effects. This review discusses the integration of pharmacogenomics in breast cancer treatment, highlighting the significance of understanding genetic influences on treatment response and toxicity, and the potential of advanced technologies in refining treatment strategies.

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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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