Frontiers in Oncology (Mar 2024)

Cost-effectiveness analysis of amivantamab plus chemotherapy versus chemotherapy alone in NSCLC with EGFR Exon 20 insertions

  • Ping Yue,
  • Ping Yue,
  • Mengwei Zhang,
  • Mengwei Zhang,
  • Yuanying Feng,
  • Yuanying Feng,
  • Yuan Gao,
  • Yuan Gao,
  • Chao Sun,
  • Peng Chen,
  • Peng Chen

DOI
https://doi.org/10.3389/fonc.2024.1368804
Journal volume & issue
Vol. 14

Abstract

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ObjectiveAmivantamab plus chemotherapy has been proved to be an efficient treatment strategy for non–small-cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) exon 20 insertions. The aim of this study was to conduct the cost-effectiveness analysis of amivantamab-chemotherapy compared with chemotherapy alone in NSCLC harboring EGFR exon 20 insertion mutations.MethodsWe constructed a Markov model based on the data derived from the PAPILLON trial. We evaluated the cost, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER). One-way and probabilistic sensitivity analyses were used to evaluate the influence of different parameters on this model.ResultsCompared with chemotherapy alone, amivantamab combined with chemotherapy treatment gained an incremental effectiveness of 0.473 QALYs and an incremental cost of $361,950.952, which resulted in an ICER of $765,224/QALY. The ICER was much higher than the willingness-to-pay threshold of 15,0000/QALY. One-way sensitivity analysis revealed that amivantamab cost was the leading influential factor in the model.ConclusionsCompared with chemotherapy alone, amivantamab plus chemotherapy is not a cost-effective first-line treatment choice for NSCLC patients with EGFR exon 20 insertions. The costly price of amivantamab is one of the major reasons for the high cost of this combined treatment strategy. Therefore, it is imperative to take into account the high cost of amivantamab in the subsequent clinical application and strive to attain a relative equilibrium between its significant clinical benefit and economic encumbrance.

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