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Personalized medicine: potential, barriers and contemporary issues
Michael J Sorich1, Ross A McKinnon
1School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA, Australia. michael.sorich@unisa.edu.au
Personalized medicine offers benefits like reduced drug toxicity but faces barriers such as cost and complexity. Real-world examples show the challenges and potential of pharmacogenomic tests in clinical practice.
Area of Science:
- Pharmacogenomics and Personalized Medicine
Background:
- Personalized medicine leverages advances in understanding individual biological differences.
- Potential benefits include reduced drug toxicity, enhanced efficacy, healthcare sustainability, and improved drug development.
- Significant barriers like cost, complexity, evidence requirements, and education hinder clinical translation of pharmacogenomic tests.
Purpose of the Study:
- To explore the benefits and barriers of personalized medicine.
- To contextualize these issues using contemporary pharmacogenetic test examples.
- To highlight areas needing clarification, including regulatory requirements and marker development.
Main Methods:
- Review of personalized medicine advancements and challenges.
- Analysis of three pharmacogenetic test cases: UGT1A1/irinotecan, CYP2C19/clopidogrel, and CYP2C9/warfarin.
- Discussion of regulatory and educational needs for clinical implementation.
Main Results:
- Pharmacogenomic tests show promise but face hurdles in clinical adoption.
- Examples illustrate specific gene-drug-outcome relationships (e.g., UGT1A1 and irinotecan toxicity).
- Regulatory pathways and evidence standards for pharmacogenomic tests require further definition.
Conclusions:
- Personalized medicine, particularly pharmacogenomics, has transformative potential but requires overcoming substantial barriers.
- Clarification of regulatory requirements and development of robust evidence are crucial for widespread clinical translation.
- Continued research and education are essential to realize the full benefits of pharmacogenomic testing.
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