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. 2021 Apr 27:11:669195.
doi: 10.3389/fonc.2021.669195. eCollection 2021.

Cost-Effectiveness Analysis of Atezolizumab Versus Chemotherapy as First-Line Treatment for Metastatic Non-Small-Cell Lung Cancer With Different PD-L1 Expression Status

Affiliations

Cost-Effectiveness Analysis of Atezolizumab Versus Chemotherapy as First-Line Treatment for Metastatic Non-Small-Cell Lung Cancer With Different PD-L1 Expression Status

Guoqiang Liu et al. Front Oncol. .

Abstract

Background: Atezolizumab could significantly improve clinical outcomes and was associated with less toxicity compared with chemotherapy as the first-line treatment of PD-L1-selected patients with EGFR and ALK wild-type metastatic non-small-cell lung cancer (NSCLC). However, the economic outcomes remain unclear yet in China. This study aimed to investigate the cost-effectiveness of atezolizumab versus chemotherapy as first-line therapy for metastatic NSCLC with different PD-L1 expression status from the Chinese health sector perspective.

Methods: A decision-analytic model was conducted to evaluate the economic outcomes for the first-line treatment of EGFR and ALK wild-type metastatic NSCLC with atezolizumab and chemotherapy in high PD-L1 expression, high or intermediate PD-L1 expression and any PD-L1 expression populations, respectively. The efficacy and safety data were obtained from the IMpower110 trial. Cost and utility values were gathered from the local charges and published literatures. Incremental cost-effectiveness ratio (ICER) was estimated. A scenario analysis for a patient assistance program (PAP) was conducted. One-way and probabilistic sensitivity analyses were performed to explore the robustness of the model results.

Results: Atezolizumab yielded additional 0.91 QALYs, 0.57 QALYs, 0.42 QALYs in comparison with chemotherapy, and the ICERs were $123,778.60/QALY, $142,827.19/QALY, $168,902.66/QALY in the high PD-L1 expression, high or intermediate PD-L1 expression, and any PD-L1 expression populations, respectively. When PAP was available, the ICERs were $52,414.63/QALY, $52,329.73/QALY, $61,189.66/QALY in the three categories of PD-L1 expression status populations, respectively. The ICERs were exceed the willingness-to-pay (WTP) threshold of $30,828/QALY (three times of per capita gross domestic product of China in 2019) in China. One-way sensitivity analyses suggested that the cost of atezolizumab played a vital role in the model outcomes, and the probabilistic sensitivity analyses showed atezolizumab was unlikely to be cost-effective at the WTP threshold regardless of PD-L1 expression status and whether the PAP was available or not.

Conclusions: Atezolizumab as first-line treatment for PD-L1-selected metastatic NSCLC patients without EGFR mutations or ALK translocations is unlikely to be cost-effective compared with chemotherapy regardless of PD-L1 expression status in the Chinese context.

Keywords: atezolizumab; chemotherapy; cost-effectiveness; first-line treatment; non-small-cell lung cancer.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The structure of the (A) decision tree and (B) Markov model. NSCLC, non-small-cell lung cancer.
Figure 2
Figure 2
The comparison between the adopted fitting curves and the Kaplan-Meier (KM) curves in IMpower110 trial. PFS, progression-free survival; OS, overall survival; PD-L1, programmed death ligand 1.
Figure 3
Figure 3
Tornado diagram of one-way sensitivity analyses with greatest influence parameters when the PAP was not available in (A) high PD-L1 expression populations, (B) high or intermediate PD-L1 expression populations and (C) any PD-L1 expression populations. PD-L1, programmed death ligand 1; PFS, progression-free survival; PD, progressed disease; ICER, incremental cost-effectiveness ratio.
Figure 4
Figure 4
Tornado diagram of one-way sensitivity analyses with greatest influence parameters when the PAP was available in (A) high PD-L1 expression populations, (B) high or intermediate PD-L1 expression populations and (C) any PD-L1 expression populations. PD-L1, programmed death ligand 1; PFS, progression-free survival; PD, progressed disease; WTP, willingness-to-pay; ICER, incremental cost-effectiveness ratio.
Figure 5
Figure 5
Cost-effectiveness acceptability curves of atezolizumab versus chemotherapy when the PAP was not available for (A) high PD-L1 expression populations, (B) high or intermediate PD-L1 expression populations and (C) any PD-L1 expression populations. PD-L1, programmed death ligand 1.
Figure 6
Figure 6
Cost-effectiveness acceptability curves of atezolizumab versus chemotherapy when the PAP was available for (A) high PD-L1 expression populations, (B) high or intermediate PD-L1 expression populations and (C) any PD-L1 expression populations. PD-L1, programmed death ligand 1.

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References

    1. GBD 2017 DALYs. HALE Collaborators . Global, Regional, and National Disability-Adjusted Life-Years (Dalys) for 359 Diseases and Injuries and Healthy Life Expectancy (HALE) for 195 Countries and Territories, 1990-2017: A Systematic Analysis for the Global Burden of Disease Study 2017. Lancet (2018) 392:1859–922. 10.1016/S0140-6736(18)32335-3 - DOI - PMC - PubMed
    1. Global Burden of Disease Cancer Collaboration . Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2016: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol (2018) 4:1553–68. 10.1001/jamaoncol.2018.2706 - DOI - PMC - PubMed
    1. Zheng RS, Sun KX, Zhang SW, Zeng HM, Zou XN, Chen R, et al. . Report of Cancer Epidemiology in China, 2015. Zhonghua Zhong Liu Za Zhi (2019) 41:19–28. 10.3760/cma.j.issn.0253-3766.2019.01.005 - DOI - PubMed
    1. Cai Y, Hu BH, Zhou GW. Analysis of Direct Economic Burden and Average Hospitalization Cost of Lung Cancer in China in 2011–2015. Chin Health Statistics (2018) 35:334–7. CNKISUNZGWT.0.2018-03-003
    1. Miller KD, Nogueira L, Mariotto AB, Rowland JH, Yabroff KR, Alfano CM, et al. . Cancer Treatment and Survivorship Statistics, 2019. CA Cancer J Clin (2019) 69:363–85. 10.3322/caac.21565 - DOI - PubMed