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

Very Early Health Technology Assessment for Potential Predictive Biomarkers in the Treatment of Advanced Non-Small Cell Lung Cancer.

Leila-Sophie Otten ,
Alessandra I G Buma ,
Berber Piet ,
Rob Ter Heine ,
Michel M van den Heuvel ,
Valesca P Retèl

Abstract

MATERIALS AND METHODS

Standard-of-care-based and predictive-biomarker-based strategies were compared using Markov models for three first-line pembrolizumab-containing treatments depending on a patient's tumor programmed cell death ligand-1 (PD-L1) expression and histology. A Dutch healthcare system perspective was adopted. Assuming a receiver operating characteristic-area under the curve of 1.0 in identifying responders, alternative treatments were offered for non-responders in the predictive-biomarker-based strategy. Parameters and assumptions were based on real-world data from surveys, literature using a targeted search, expert opinion, and registries. Outcomes included differences in costs, survival (life years (LYs)), and survival corrected for health-related quality of life (QoL) quality-adjusted life-years (QALYs) between the predictive-biomarker- and standard-of-care-based strategy.

CONCLUSIONS

Our study highlights the importance of careful de-implementation of ICI-treatments in advanced NSCLC, balancing costs reductions and side effects without comprising survival. In the pembrolizumab-carboplatin-paclitaxel treatment regimen, the survival loss could be considered negligible. Future research should define acceptable tradeoffs and thresholds for de-implementation, considering factors such as survival of alternative treatments and responder classification to guide predictive biomarker implementation and optimize health resource allocation.

RESULTS

Implementing a predictive biomarker in pembrolizumab-carboplatin-paclitaxel treatment led to a mean survival reduction of 24 days (- 0.067 LYs) (18 days corrected for QoL (- 0.049 QALYs)), with cost savings of €22,606 compared with standard of care. Pembrolizumab monotherapy and pembrolizumab-pemetrexed-platinum treatments showed survival reductions of 4.5 and 3.9 months, respectively (3.6 and 2.8 months corrected for QoL), with cost savings of €24,345 and €28,456. Sensitivity analyses confirmed consistent cost savings and survival reductions. Survival losses were mainly observed due to the lower survival rates associated with the alternative first-line treatment options available for non-responders in the predictive-biomarker-based strategy within each pembrolizumab-containing treatment regimen. Pembrolizumab-carboplatin-paclitaxel treatment also showed survival gains under certain conditions related to QoL and survival estimates.

OBJECTIVES

Immune checkpoint inhibitor (ICI)-containing treatment is currently prescribed as first-line treatment for all patients with advanced non-small cell lung cancer (NSCLC) without targetable driver mutations. However, only 30-45% of patients show no progression within 12 months after treatment start. Various biomarkers are being studied to save costly and potentially harmful treatment in non-responders. We evaluated the cost-effectiveness of implementing a hypothetical predictive biomarker for ICI-containing treatment response compared with standard of care (e.g., no implemented biomarker) for pembrolizumab-containing treatment in patients with advanced NSCLC in the Netherlands.

More about this publication

PharmacoEconomics - open

Volume 9
Issue nr. 3
Pages 471-485
Publication date 01-05-2025

Full text links

Publisher website (DOI) 10.1007/s41669-025-00557-3
Europe PubMed Central 39875696
Pubmed 39875696

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.