Real-world survival outcomes with immune checkpoint inhibitors in large-cell neuroendocrine tumors of lung.
Aged
Carcinoma, Large Cell
/ drug therapy
Carcinoma, Neuroendocrine
/ drug therapy
District of Columbia
Female
Humans
Immune Checkpoint Inhibitors
/ adverse effects
Israel
Lung Neoplasms
/ drug therapy
Male
Middle Aged
Retrospective Studies
Risk Assessment
Risk Factors
Time Factors
Treatment Outcome
Tumor Microenvironment
active
immunotherapy
lung neoplasms
programmed cell death 1 receptor
Journal
Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585
Informations de publication
Date de publication:
02 2021
02 2021
Historique:
accepted:
29
12
2020
entrez:
18
2
2021
pubmed:
19
2
2021
medline:
5
1
2022
Statut:
ppublish
Résumé
Little is known regarding the efficacy of immune checkpoint inhibitors (ICI) in patients with advanced large-cell neuroendocrine lung carcinoma (aLCNEC). 125 consecutive patients with aLCNEC were identified in the electronic databases of 4 participating cancer centers. The patients were divided into group A (patients who received ICI, n=41) and group B (patients who did not receive ICI, n=84). Overall survival since advanced disease diagnosis (OS DX) and OS since ICI initiation (OS ICI) were captured. With a median follow-up of 11.8 months (mo) (IQR 7.5-17.9) and 6.0mo (IQR 3.1-10.9), 66% and 76% of patients died in groups A and B, respectively. Median OS DX was 12.4mo (95% CI 10.7 to 23.4) and 6.0mo (95% CI 4.7 to 9.4) in groups A and B, respectively (log-rank test, p=0.02). For ICI administration, HR for OS DX was 0.59 (95% CI 0.38 to 0.93, p=0.02-unadjusted), and 0.58 (95% CI 0.34 to 0.98, p=0.04-adjusted for age, Eastern Cooperative Oncology Group (ECOG) performance status (PS), presence of liver metastases and chemotherapy administration). In a propensity score matching analysis (n=74; 37 patients in each group matched for age and ECOG PS), median OS DX was 12.5 mo (95% CI 10.6 to 25.2) and 8.4 mo (95% CI 5.4 to 16.9) in matched groups A and B, respectively (log-rank test, p=0.046). OS ICI for patients receiving ICI as monotherapy (n=36) was 11.0 mo (95% CI 6.1 to 19.4). With the limitations of retrospective design and small sample size, the results of this real-world cohort analysis suggest a positive impact of ICI on OS in aLCNEC.
Sections du résumé
BACKGROUND
Little is known regarding the efficacy of immune checkpoint inhibitors (ICI) in patients with advanced large-cell neuroendocrine lung carcinoma (aLCNEC).
METHODS
125 consecutive patients with aLCNEC were identified in the electronic databases of 4 participating cancer centers. The patients were divided into group A (patients who received ICI, n=41) and group B (patients who did not receive ICI, n=84). Overall survival since advanced disease diagnosis (OS DX) and OS since ICI initiation (OS ICI) were captured.
RESULTS
With a median follow-up of 11.8 months (mo) (IQR 7.5-17.9) and 6.0mo (IQR 3.1-10.9), 66% and 76% of patients died in groups A and B, respectively. Median OS DX was 12.4mo (95% CI 10.7 to 23.4) and 6.0mo (95% CI 4.7 to 9.4) in groups A and B, respectively (log-rank test, p=0.02). For ICI administration, HR for OS DX was 0.59 (95% CI 0.38 to 0.93, p=0.02-unadjusted), and 0.58 (95% CI 0.34 to 0.98, p=0.04-adjusted for age, Eastern Cooperative Oncology Group (ECOG) performance status (PS), presence of liver metastases and chemotherapy administration). In a propensity score matching analysis (n=74; 37 patients in each group matched for age and ECOG PS), median OS DX was 12.5 mo (95% CI 10.6 to 25.2) and 8.4 mo (95% CI 5.4 to 16.9) in matched groups A and B, respectively (log-rank test, p=0.046). OS ICI for patients receiving ICI as monotherapy (n=36) was 11.0 mo (95% CI 6.1 to 19.4).
CONCLUSIONS
With the limitations of retrospective design and small sample size, the results of this real-world cohort analysis suggest a positive impact of ICI on OS in aLCNEC.
Identifiants
pubmed: 33597218
pii: jitc-2020-001999
doi: 10.1136/jitc-2020-001999
pmc: PMC7893659
pii:
doi:
Substances chimiques
Immune Checkpoint Inhibitors
0
Types de publication
Comparative Study
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: ED reported consulting fees from MSD, BMS, Astra Zeneca, Roche, Boehringer Ingelheim, Pfizer, Novartis, Takeda. MM reported consulting fees from Boehringer Ingelheim, Roche, Astra Zeneca, MSD, BMS, Abbvie, Takeda, Pomicell. CK reported research funding (to institution) from AstraZeneca, BMS, Novartis, Regeneron, Tesaro, Karyopharm, Debiopharm, Jassen, and Mirati and consulting fees from Novartis. SVL reported consulting fees from AstraZeneca, Beigene, Blueprint, Boehringer Ingelheim, Bristol-Myers Squibb, Catalyst, Celgene, Clovis, Corvus, G1 Therapeutics, Genentech, Guardant Health, Inivata, Janssen, Jazz, Lilly, LOXO, MSD, PharmaMar, Pfizer, Regeneron, and Takeda and research grants (to institution) from Alkermes, AstraZeneca, Bayer, Blueprint, Bristol-Myers Squibb, Genentech, Lilly, Lycera, Merck, Molecular Partners, Pfizer, Rain Therapeutics, RAPT, Spectrum, and Turning Point Therapeutics. DU reported consulting fees and non-financial support from BMS, Astra Zeneca, Takeda, consulting fees MSD, Roche and Boehringer Ingelheim. AZ reported grants from BMS, personal fees from Roche, MSD, BMS, Astra Zeneca, Takeda. AO reported advisory fees from MSD, BMS, Roche, Astra Zeneca, Novartis, Boehringer Ingelheim. MW reported speaker fees and funding (to institution) from Roche, MSD. JB reported grants and personal fees from MSD, Roche, BMS, Abbvie, Pfizer, Novartis, Astra Zeneca, Boehringer Ingelheim, Takeda.
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