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Has the development of cancer biomarkers to guide treatment improved health outcomes?

Author

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  • Ana Beatriz D′Avó Luís

    (University of Bergen
    University of Bergen)

  • Mikyung Kelly Seo

    (University of Bergen
    London School of Hygiene and Tropical Medicine
    Imperial College London)

Abstract

During the last decade, testing the patient’s biomarker status prior to the administration of corresponding co-dependent therapies has been emerging in clinical practice. These biomarker-guided therapies have promoted the promise of more personalized medicine, with the prescription of the right treatment to the right patient, while avoiding expensive ineffective drugs and adverse drug reactions. Cancer treatments have especially taken advantage of this technology. We assess how the introduction of biomarker tests guiding cancer therapy have affected the premature mortality and survival of cancer patients in Norway. Our findings suggest that, in general, cancer patients have benefited from both biomarker testing and more cancer drugs. Furthermore, we find that the total effect of biomarker testing on 3-year survival decreases as the number of drugs available increases, suggesting that the matching of patients with the appropriate treatment is better when fewer drugs are available.

Suggested Citation

  • Ana Beatriz D′Avó Luís & Mikyung Kelly Seo, 2021. "Has the development of cancer biomarkers to guide treatment improved health outcomes?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 789-810, July.
    • Handle: RePEc:spr:eujhec:v:22:y:2021:i:5:d:10.1007_s10198-021-01290-4
    DOI: 10.1007/s10198-021-01290-4
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    References listed on IDEAS

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    1. Kyle, Margaret & Dubois, Pierre, 2016. "The Effects of Pharmaceutical Innovation on Cancer Mortality," CEPR Discussion Papers 11487, C.E.P.R. Discussion Papers.
    2. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    3. Frank Lichtenberg, 2009. "The effect of new cancer drug approvals on the life expectancy of American cancer patients, 1978-2004," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(5), pages 407-428.
    4. Luiz Andrade & Catherine Sermet & Sylvain Pichetti, 2016. "Entry time effects and follow-on drug competition," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(1), pages 45-60, January.
    5. Dubois, Pierre & Kyle, Margaret, 2016. "The Effects of Pharmaceutical Innovation on Cancer Mortality Rates," TSE Working Papers 16-688, Toulouse School of Economics (TSE).
    6. Frank Lichtenberg, 2013. "The impact of new (orphan) drug approvals on premature mortality from rare diseases in the United States and France, 1999–2007," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 41-56, February.
    7. Fiva, Jon H. & Hægeland, Torbjørn & Rønning, Marte & Syse, Astri, 2014. "Access to treatment and educational inequalities in cancer survival," Journal of Health Economics, Elsevier, vol. 36(C), pages 98-111.
    8. Mikyung Kelly Seo & John Cairns, 2018. "Do cancer biomarkers make targeted therapies cost-effective? A systematic review in metastatic colorectal cancer," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-23, September.
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    Cited by:

    1. David Bardey & Philippe de Donder & Vera Zaporozhets, 2024. "Economic Incentives to Develop and to Use Diagnostic Tests - A Literature Review," Working Papers hal-04472497, HAL.
    2. David Bardey & Philippe de Donder & Vera Zaporozhets, 2024. "The Health Technology Assessment Approach of the Economic Value of Diagnostic Tests - A Literature Review," Working Papers hal-04472485, HAL.

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    More about this item

    Keywords

    Biomarker; Personalized medicine; Cancer; Mortality;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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