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Appraising the Costs of Genomic Testing for Histology-Independent Technologies: An Illustrative Example for NTRK Fusions.
Beresford, Lucy; Murphy, Peter; Dias, Sofia; Claxton, Lindsay; Walton, Matthew; Metcalf, Robert; Schlecht, Helene; Ottensmeier, Christian; Pereira, Marta; Hodgson, Robert.
Afiliación
  • Beresford L; Centre for Reviews and Dissemination, University of York, York, England, UK. Electronic address: lucy.beresford@york.ac.uk.
  • Murphy P; Centre for Reviews and Dissemination, University of York, York, England, UK; Centre for Health Economics, University of York, UK.
  • Dias S; Centre for Reviews and Dissemination, University of York, York, England, UK.
  • Claxton L; National Institute for Health and Care Excellence, UK.
  • Walton M; Centre for Reviews and Dissemination, University of York, York, England, UK.
  • Metcalf R; Medical Oncology, The Christie Hospital, Manchester, England, UK.
  • Schlecht H; Genomic Diagnostic Laboratory, Manchester Centre for Genomic Medicine, Manchester, England, UK.
  • Ottensmeier C; Department of Molecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, UK.
  • Pereira M; Genomic Diagnostic Laboratory, Manchester Centre for Genomic Medicine, Manchester, England, UK.
  • Hodgson R; Centre for Reviews and Dissemination, University of York, York, England, UK.
Value Health ; 25(7): 1133-1140, 2022 07.
Article en En | MEDLINE | ID: mdl-35779940
OBJECTIVES: Histology-independent (HI) technologies are authorized for patients with advanced or metastatic cancer if they express a particular biomarker regardless of its position in the body. Although this represents an important advancement in cancer treatment, genomic testing to identify eligible individuals for HI technologies will require substantial investment and impact their cost-effectiveness. Estimating these costs is complicated by several issues, which affect not only the overall cost of testing but also the distribution of testing costs across tumor types. METHODS: Key issues that should be considered when evaluating the cost of genomic testing to identify those eligible for HI technologies are discussed. These issues are explored in illustrative analyses where costs of genomic testing for NTRK fusions in England for recently approved HI technologies are estimated. RESULTS: The prevalence of mutation, testing strategy adopted, and current testing provision affect the cost of identifying eligible patients. The illustrative analysis estimated the cost of RNA-based next-generation sequencing to identify 1 individual with an NTRK fusion ranged between £377 and £282 258. To improve cost-effectiveness, testing costs could be shared across multiple technologies. An estimated additional ∼4000 patients would need to be treated with other HI therapies for testing in patients with advanced or metastatic cancer to be cost-effective. CONCLUSIONS: The cost of testing to identify individuals eligible for HI technologies affect the drug's cost-effectiveness. The cost of testing across tumor types varies owing to heterogeneity in the mutation's prevalence and current testing provision. The cost-effectiveness of HI technologies may be improved if testing costs could be shared across multiple agents.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Tipo de estudio: Health_economic_evaluation / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Value Health Asunto de la revista: FARMACOLOGIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Tipo de estudio: Health_economic_evaluation / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Value Health Asunto de la revista: FARMACOLOGIA Año: 2022 Tipo del documento: Article