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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Clinical implementation of genetic testing in medicine: a US regulatory science perspective
Lawrence J Lesko1, Stephan Schmidt
1Center for Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, FL, USA.
Abstract:
Heterogeneity of treatment effects in unselected patient populations has stimulated various strategic approaches to reduce variability and uncertainty and improve individualization of drug selection and dosing. The rapid growth of DNA sequencing and related technologies has ramped up progress in interpreting germline and somatic mutations and has begun to reshape medicine, especially in oncology. Over the past decade, regulatory agencies realized that they needed to be proactive and not reactive if personalized medicine was to become a reality. The US Food and Drug Administration, in particular, took steps to nurture the field through peer-reviewed publications, co-sponsoring public workshops and issuing guidance for industry. The following two major approaches to personalized medicine were taken: (i) encouragement of de novo co-development of drug-genetic test combinations by industry; and (ii) retrospective assessment of legacy genetic data for the purpose of updating drug labels. The former strategy has been more successful in getting new targeted therapies to the marketplace with successful adoption, while the latter, as evidenced by the low adoption rate of pharmacogenetic testing, has been less successful. This reflection piece makes clear that several important things need to happen to make personalized medicine diffuse in more geographical areas and among more therapeutic specialties. The debate over clinical utility of genetic tests needs to be resolved with consensus on evidentiary standards. Physicians, as gatekeepers of prescription medicines, need to increase their knowledge of genetics and the application of the information to patient care. An infrastructure needs to be developed to make access to genetic tests and decision-support tools available to primary practitioners and specialists outside major medical centres and metropolitan areas.
Insights
Personalized medicine advances through DNA sequencing, but wider adoption requires resolving clinical utility debates and enhancing physician education. Developing infrastructure is key for broader access to genetic tests and decision support.
Area of Science:
- Genomics and Personalized Medicine
- Pharmacogenomics
- Biotechnology
Background:
- Treatment variability in unselected patients necessitates personalized medicine approaches.
- Advances in DNA sequencing accelerate the interpretation of genetic mutations, impacting oncology.
- Regulatory agencies, like the US FDA, have proactively supported personalized medicine development.
Purpose of the Study:
- To reflect on the progress and challenges in personalized medicine adoption.
- To evaluate the success of different strategies for integrating genetic information into clinical practice.
- To identify key factors needed for the broader diffusion of personalized medicine.
Main Methods:
- Review of regulatory approaches to personalized medicine, including co-development and retrospective data analysis.
- Assessment of industry-led drug-genetic test combinations versus legacy data utilization.
- Analysis of barriers to personalized medicine adoption, such as clinical utility and physician knowledge.
Main Results:
- Co-development of drug-genetic test combinations has been more successful than retrospective analysis of legacy data.
- The latter strategy shows low adoption rates for pharmacogenetic testing.
- Significant hurdles remain for widespread personalized medicine implementation.
Conclusions:
- Broader adoption of personalized medicine requires resolving clinical utility debates and establishing consensus on evidentiary standards.
- Enhancing physician knowledge of genetics and its clinical application is crucial.
- Developing accessible infrastructure for genetic testing and decision support is essential for primary care and specialists outside major centers.
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