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Exploring the Cost Effectiveness of a Whole-Genome Sequencing-Based Biomarker for Treatment Selection in Patients with Advanced Lung Cancer Ineligible for Targeted Therapy

Author

Listed:
  • Zakile A. Mfumbilwa

    (Amsterdam UMC, Location Vrije Universiteit Amsterdam
    Amsterdam Public Health, Methodology
    Sokoine University of Agriculture)

  • Martijn J. H. G. Simons

    (Maastricht University Medical Centre+
    Care and Public Health Research Institute (CAPHRI), Maastricht University)

  • Bram Ramaekers

    (Maastricht University Medical Centre+
    Care and Public Health Research Institute (CAPHRI), Maastricht University)

  • Valesca P. Retèl

    (University of Twente)

  • Joanne M. Mankor

    (Erasmus MC)

  • Harry J. M. Groen

    (University of Groningen, University Medical Center Groningen)

  • Joachim G. J. V. Aerts

    (Erasmus MC)

  • Manuela Joore

    (Maastricht University Medical Centre+
    Care and Public Health Research Institute (CAPHRI), Maastricht University)

  • Janneke A. Wilschut

    (Amsterdam UMC, Location Vrije Universiteit Amsterdam
    Amsterdam Public Health, Methodology)

  • Veerle M. H. Coupé

    (Amsterdam UMC, Location Vrije Universiteit Amsterdam
    Amsterdam Public Health, Methodology)

Abstract

Objective We aimed to perform an early cost-effectiveness analysis of using a whole-genome sequencing-based tumor mutation burden (WGS-TMB), instead of programmed death-ligand 1 (PD-L1), for immunotherapy treatment selection in patients with non-squamous advanced/metastatic non-small cell lung cancer ineligible for targeted therapy, from a Dutch healthcare perspective. Methods A decision-model simulating individual patients with metastatic non-small cell lung cancer was used to evaluate diagnostic strategies to select first-line immunotherapy only or the immunotherapy plus chemotherapy combination. Treatment was selected using PD-L1 [A, current practice], WGS-TMB [B], and both PD-L1 and WGS-TMB [C]. Strategies D, E, and F take into account a patient’s disease burden, in addition to PD-L1, WGS-TMB, and both PD-L1 and WGS-TMB, respectively. Disease burden was defined as a fast-growing tumor, a high number of metastases, and/or weight loss. A threshold of 10 mutations per mega-base was used to classify patients into TMB-high and TMB-low groups. Outcomes were discounted quality-adjusted life-years (QALYs) and healthcare costs measured from the start of first-line treatment to death. Healthcare costs includes drug acquisition, follow-up costs, and molecular diagnostic tests (i.e., standard diagnostic techniques and/or WGS for strategies involving TMB). Results were reported using the net monetary benefit at a willingness-to-pay threshold of €80,000/QALY. Additional scenario and threshold analyses were performed. Results Strategy B had the lowest QALYs (1.84) and lowest healthcare costs (€120,800). The highest QALYs and healthcare costs were 2.00 and €140,400 in strategy F. In the base-case analysis, strategy A was cost effective with the highest net monetary benefit (€27,300), followed by strategy B (€26,700). Strategy B was cost effective when the cost of WGS testing was decreased by at least 24% or when immunotherapy results in an additional 0.5 year of life gained or more for TMB high compared with TMB low. Strategies C and F, which combined TMB and PD-L1 had the highest net monetary benefit (≥ €76,900) when the cost of WGS testing, immunotherapy, and chemotherapy acquisition were simultaneously reduced by at least 47%, 39%, and 43%, respectively. Furthermore, strategy C resulted in the highest net monetary benefit (≥ €39,900) in a scenario where patients with both PD-L1 low and TMB low were treated with chemotherapy instead of immunotherapy plus chemotherapy. Conclusions The use of WGS-TMB is not cost effective compared to PD-L1 for immunotherapy treatment selection in non-squamous metastatic non-small cell lung cancer in the Netherlands. WGS-TMB could become cost effective provided there is a reduction in the cost of WGS testing or there is an increase in the predictive value of WGS-TMB for immunotherapy effectiveness. Alternatively, a combination strategy of PD-L1 testing with WGS-TMB would be cost effective if used to support the choice to withhold immunotherapy in patients with a low expected benefit of immunotherapy.

Suggested Citation

  • Zakile A. Mfumbilwa & Martijn J. H. G. Simons & Bram Ramaekers & Valesca P. Retèl & Joanne M. Mankor & Harry J. M. Groen & Joachim G. J. V. Aerts & Manuela Joore & Janneke A. Wilschut & Veerle M. H. C, 2024. "Exploring the Cost Effectiveness of a Whole-Genome Sequencing-Based Biomarker for Treatment Selection in Patients with Advanced Lung Cancer Ineligible for Targeted Therapy," PharmacoEconomics, Springer, vol. 42(4), pages 419-434, April.
  • Handle: RePEc:spr:pharme:v:42:y:2024:i:4:d:10.1007_s40273-023-01344-w
    DOI: 10.1007/s40273-023-01344-w
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