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Strategies for Testing Intervention Matching Schemes in Cancer.
Nicholas J Schork1,2,3, Laura H Goetz1,4, James Lowey1
1The Translational Genomics Research Institute (TGen), Phoenix, Arizona, USA.
Clinical Pharmacology and Therapeutics
|June 15, 2020
Summary
Personalized medicine uses intervention matching schemes (IMS) to tailor treatments to individual patient profiles. Proving the effectiveness of these complex IMS is challenging but crucial for future healthcare.
Area of Science:
- Biomedical Science
- Genomics
- Precision Medicine
Background:
- Personalized medicine tailors interventions to individual genetic, biochemical, physiological, behavioral, and exposure profiles.
- Disease pathogenesis exhibits significant heterogeneity, making tailored approaches a biological necessity.
- Intervention matching schemes (IMS) link intervention mechanisms to patient profiles.
Purpose of the Study:
- To explore the complexity of testing and proving the benefits of intervention matching schemes (IMS).
- To discuss the pervasive nature and deployment challenges of IMS in future healthcare.
- To examine the vetting of IMS, particularly in oncology, and their role in clinical trials and rapid learning systems.
Main Methods:
- Review and conceptual analysis of intervention matching schemes (IMS).
- Discussion of challenges in validating IMS utility and comparing competing schemes.
- Examination of IMS in the context of cancer clinical trials (basket, umbrella, adaptive) and rapid learning systems.
Main Results:
- IMS are fundamental to personalized medicine due to biological heterogeneity.
- Proving the utility and efficiency of IMS presents significant complexities.
- IMS are integral to advanced clinical trial designs and emerging healthcare systems.
Conclusions:
- Intervention matching schemes (IMS) are foundational to personalized medicine and future healthcare.
- Further research is needed to address the complexities and sensitivities surrounding IMS deployment.
- Vetting and validating IMS are critical for realizing the full potential of tailored health interventions.
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