Economic Burden of Checkpoint Inhibitor Immunotherapy for the Treatment of Non-Small Cell Lung Cancer in US Clinical Practice.


Journal

Clinical therapeutics
ISSN: 1879-114X
Titre abrégé: Clin Ther
Pays: United States
ID NLM: 7706726

Informations de publication

Date de publication:
09 2020
Historique:
received: 19 02 2020
revised: 03 06 2020
accepted: 23 06 2020
pubmed: 5 8 2020
medline: 20 5 2021
entrez: 5 8 2020
Statut: ppublish

Résumé

The efficacy of checkpoint inhibitor (CPI) immunotherapy in patients with non-small cell lung cancer (NSCLC) is limited by a lack of strongly predictive response markers, subjecting patients to potential underutilization of alternative effective treatments, increased risk for futile care, and unnecessary costs. Here, we characterize the extent to which basic molecular tumor-marker testing has been performed for NSCLC therapy selection in the United States, and compare medical resource utilization and costs in CPI-treated patients versus CPI-eligible patients treated with other therapies. We identified a cohort of CPI-treated patients with NSCLC and a propensity score-matched cohort of CPI-eligible patients with NSCLC treated with non-CPI therapies (3095 patients in each group), using US administrative claims data covering the pre- and postinitial FDA-approval period for nivolumab, pembrolizumab, and atezolizumab (October 2012 to September 2017). We describe the utilization of recommended baseline molecular testing for CPI selection (pre-index date for CPI or other anticancer therapy), including programmed death ligand 1 (PD-L1) immunohistochemistry, ALK rearrangement and EGFR mutation testing, and pre- and postindex treatment patterns. All-cause medical resource utilization and semiannual total reimbursement (costs) were compared between CPI-treated and non-CPI-treated patients. At baseline, in the propensity score-matched CPI- and non-CPI-treated patient cohorts, mean PD-L1 immunohistochemistry test utilization for CPI selection was moderate (0.6 vs 0.7 per patient, respectively). However, we observed much lower mean utilization of testing for EGFR mutations (0.1 vs 0.1 per patient) and ALK rearrangements (0.1 vs 0.2 per patient). Postindex, the use of both chemotherapy and ALK- and EGFR-targeted therapies were decreased in both cohorts. The CPI-treated group had significantly higher mean medical resource utilization in nearly all categories in the postindex period, and total per-patient semiannual costs, than did the CPI-eligible patients who received other therapies (141,537 vs 75,429 US dollars [USD]; P < 0.0001), driven by CPI drug reimbursement. Median (interquartile range) time on CPI was longest with pembrolizumab (113 [106-127] days), followed by nivolumab (105 [97-106] days) and atezolizumab (64 [50-85] days). Despite being associated with the lowest drug cost and the shortest treatment duration, atezolizumab was associated with the highest mean total per-patient semiannual costs (160,540 USD) compared with pembrolizumab (153,003 USD) and nivolumab (138,542 USD). The advent of CPI treatment for NSCLC has added substantial care-related costs for patients and payers, concurrent with underutilization of minimum recommended molecular testing for therapy selection. Broad uptake of panel-based comprehensive targeted-therapy and immunotherapy profiling can promote optimal treatment selection and sequencing, reduce the likelihood of futile treatment, and further improve patient outcomes.

Identifiants

pubmed: 32747004
pii: S0149-2918(20)30328-3
doi: 10.1016/j.clinthera.2020.06.018
pii:
doi:

Substances chimiques

Antibodies, Monoclonal, Humanized 0
B7-H1 Antigen 0
Biomarkers, Tumor 0
CD274 protein, human 0
Nivolumab 31YO63LBSN
atezolizumab 52CMI0WC3Y

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1682-1698.e7

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Mary K Nesline (MK)

OmniSeq Inc, Buffalo, NY, USA. Electronic address: mary.nesline@omniseq.com.

Tyler Knight (T)

Covance Market Access Services Inc, Gaithersburg, MD, USA.

Sam Colman (S)

Covance Market Access Services Inc, Gaithersburg, MD, USA.

Kayshap Patel (K)

Carolina Blood and Cancer Care, Rock Hill, SC, USA.

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Classifications MeSH