search

menu

  • Research Research
    • Where science meets inspired minds

    • Back
    • Research
    • Our Science
    • Research Groups
    • Facilities & Platforms
    • Clinical research
    • Find a researcher
    • Publications
    • Knowledge Transfer
  • Careers & study Careers & study
    • Become a leader in cancer research

    • Back
    • Careers & study
    • Vacancies
    • Faculty
    • Scientific staff
    • Scientific support staff
    • Postdoctoral fellows
    • PhD Students
    • Operational staff
    • Clinical fellows
    • Life in Amsterdam
    • Student internships
  • News & Events News & Events
    • Check out our stories and events

    • Back
    • News & Events
    • News
    • Media & Press
    • Calendar
  • About us About us
    • Maximum impact for cancer patients

    • Back
    • About us
    • Our vision
    • Organization
    • Collaborations
    • Responsible Research
    • Support us
    • Visit us
    • Contact us
  • Support us
Support us
  • Home
  • Publications
  • Research
  • Publications
  • Article

Cost-Effectiveness and Budget Impact of Future Developments With Whole-Genome Sequencing for Patients With Lung Cancer.

Martijn J H G Simons ,
Carin A Uyl-de Groot ,
Valesca P Retèl ,
Joanne M Mankor ,
Bram L T Ramaekers ,
Manuela A Joore ,
Wim H van Harten

Abstract

METHODS

A total of 3 likely scenarios to take place within 5 years (according to experts) were simulated using a previously developed, peer reviewed, and published decision model. The scenarios concerned "WGS results used for treatment selection" (scenario 1), "WGS-based biomarker for immunotherapy" (scenario 2), and "off-label drug approval for WGS results" (scenario 3). Two diagnostic strategies of the original model, "SoC" and "WGS as a diagnostic test" (base model), were used to compare our scenarios with. Outcomes were reported for the base model, all scenarios separately, combined (combined unweighted), and weighted by likelihood (combined weighted). Cost-effectiveness, BI, and value of information analyses were performed for WGS compared with SoC.

CONCLUSIONS

Our findings suggest that it is likely for WGS to become cost-effective within the near future if it identifies more patients with actionable targets and show the impact of uncertainty regarding its diagnostic yield. Modeling future scenarios can be useful to consider early adoption of WGS while timely anticipating on unforeseen developments before final conclusions are reached.

RESULTS

Total costs and quality-adjusted life-years for SoC in metastatic non-small cell lung cancer were €149 698 and 1.235. Incremental outcomes of WGS were €1529/0.002(base model), -€222/0.020(scenario 1), -€2576/0.023(scenario 2), €388/0.024(scenario 3), -€5041/0.060(combined unweighted), and -€1715/0.029(combined weighted). The annual BI for adopting WGS for this population in The Netherlands ranged between €682 million (combined unweighted) and €714 million (base model). The consequences of uncertainty amounted to €3.4 million for all scenarios (combined weighted) and to €699 000 for the diagnostic yield of WGS alone (combined weighted).

OBJECTIVES

This study aimed to investigate the cost-effectiveness, budget impact (BI), and impact of uncertainty of future developments concerning whole-genome sequencing (WGS) as a clinical diagnostic test compared with standard of care (SoC) in patients with locally advanced and metastatic non-small cell lung cancer.

More about this publication

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research

Volume 26
Issue nr. 1
Pages 71-80
Publication date 01-01-2023

Full text links

Publisher website (DOI) 10.1016/j.jval.2022.07.006
Europe PubMed Central 35973926
Pubmed 35973926

Where science meets inspired minds

Contact

Plesmanlaan 121
1066CX Amsterdam

020 512 9111 communicatie@nki.nl

Quick links

  • Vacancies
  • News
  • Contact us
  • Media & Press

Follow us on

Disclaimer
Privacy statement
Cookies
Change cookie settings

This site uses cookies

This website uses cookies to ensure you get the best experience on our website.