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Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis
Published on: December 23, 2022
Individualized drug therapy
1School of Clinical and Laboratory Sciences, Newcastle University Medical School, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK. a.k.daly@ncl.ac.uk
Abstract:
The pharmacogenetics of either individual patients or tumors has been used to aid the progress of personalized medicine to generate antitumor drugs (eg, trastuzamab and erlotinib) that are active against tumors expressing particular growth factor receptors. Outside the field of cancer therapeutics, pharmacogenetic tests have been introduced to detect patient genotypes with the aim of individualizing existing treatments. For example, the analysis of thiopurine S-methyltransferase genotypes enables the prediction of toxicity in patients to be treated with either 6-mercaptopurine or azathioprine, while the uridine 5'-diphosphoglucuronosyl-transferase 1A1 genotype may predict irinotecan toxicity. There is a large body of information concerning cytochrome P450 (CYP) polymorphisms and their relationship with drug toxicity and response; however, currently, there is limited use of CYP genotypes to individualize treatments. It is now well recognized that the CYP2C9 genotype, when combined with the genotype for vitamin K epoxide reductase complex subunit 1, is predictive of dose requirement for oral anticoagulants, a fact that is likely to have clinical utility. There is also potential to individualize treatments with certain drugs on the basis of CYP2D6, CYP2C19 and CYP3A5 genotypes. Studies on genes encoding drug receptors in relation to individualized prescription have been limited but there is increasing information on the relationship between response to beta2-adrenoceptor agonists and the genotype for the beta2-adrenoceptor gene. The introduction of pharmacogenetic tests into routine healthcare requires both a demonstration of cost-effectiveness and the availability of appropriate accessible testing systems.
Insights
Pharmacogenetics guides personalized medicine by tailoring drug treatments based on individual genetic makeup. Genetic testing helps predict drug toxicity and efficacy, improving patient outcomes and healthcare.
Area of Science:
- Pharmacogenomics and Personalized Medicine
- Clinical Pharmacology
- Genetics and Drug Development
Background:
- Pharmacogenetics is advancing personalized medicine, particularly in oncology with targeted therapies like trastuzumab and erlotinib.
- Genetic testing is increasingly used to individualize existing treatments beyond cancer, predicting drug toxicity and response.
- Cytochrome P450 (CYP) gene polymorphisms are well-studied for their impact on drug metabolism, though clinical application for treatment individualization is still limited.
Purpose of the Study:
- To review the current applications and potential of pharmacogenetics in tailoring medical treatments.
- To highlight specific examples of pharmacogenetic tests influencing drug prescription and toxicity prediction.
- To discuss the future prospects and challenges for integrating pharmacogenetics into routine healthcare.
Main Methods:
- Literature review of pharmacogenetic studies and clinical applications.
- Analysis of specific gene-drug interactions and their clinical utility.
- Discussion of the role of genetic polymorphisms in drug response and toxicity.
Main Results:
- Pharmacogenetic insights enable the development of targeted antitumor drugs and the individualization of existing therapies.
- Genetic markers for thiopurine S-methyltransferase and uridine 5'-diphosphoglucuronosyl-transferase 1A1 predict toxicity for specific chemotherapies.
- CYP2C9, CYP2D6, CYP2C19, and CYP3A5 genotypes, along with vitamin K epoxide reductase complex subunit 1, show potential for individualizing anticoagulant and other drug treatments.
- Emerging data links beta2-adrenoceptor gene variants to response variability for beta2-adrenoceptor agonists.
Conclusions:
- Pharmacogenetics offers significant potential for optimizing drug therapy and improving patient outcomes through personalized medicine.
- Wider adoption requires demonstrating cost-effectiveness and ensuring the availability of accessible genetic testing systems.
- Continued research into gene-drug interactions and receptor genetics will further refine individualized treatment strategies.
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