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Published on: August 17, 2022
Assessing the Value of Next-Generation Sequencing Tests in a Dynamic Environment
Howard A Burris1, Leonard B Saltz1, Peter P Yu1
1From Sarah Cannon, Nashville, TN; Memorial Sloan Kettering Cancer Center, New York, NY; Hartford HealthCare Cancer Institute, Hartford, CT, Memorial Sloan Kettering Cancer Center, New York, NY.
Next-generation sequencing (NGS) offers affordable cancer genomic testing. Understanding NGS test variations and clinical utility is crucial for oncologists navigating evolving therapies and healthcare policies.
Area of Science:
- Oncology
- Genomics
- Health Policy
Background:
- Next-generation sequencing (NGS) technology has reduced cancer genomic alteration testing costs.
- Commercial availability of NGS tests is increasing across diagnostic laboratories.
- Variations exist in NGS methodologies, genomic alteration coverage, and clinical annotation.
Purpose of the Study:
- To review principles and practices for NGS testing in oncology.
- To address the dynamic landscape of cancer biology, therapies, and healthcare policy.
- To inform oncologists about the value of NGS testing in clinical decision-making.
Main Methods:
- Review of current NGS technologies and their application in cancer testing.
- Analysis of factors influencing the value of NGS tests (e.g., clinical trials, routine care).
- Examination of the evolving therapeutic landscape and reimbursement policies.
Main Results:
- NGS test value is context-dependent, influenced by clinical trial support or routine care integration.
- The rapid evolution of investigational drugs and FDA-approved therapeutics impacts NGS test utility.
- Reimbursement policies, such as those from CMS, are adapting to the defined value of NGS testing.
Conclusions:
- Oncologist knowledge of NGS testing value is essential for patient care and clinical decisions.
- Effective utilization of NGS requires understanding its technical, clinical, and policy dimensions.
- Navigating the confluence of technology, cancer biology, and health policy is key for optimal NGS implementation.
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