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Correlation between the Immune Checkpoint Inhibitors Prognostic Index and Outcomes in Nonsmall Cell Lung Cancer: A Multicentre Analysis

OBJECTIVE: To evaluate the prognostic value of the immune checkpoint inhibitor prognostic index (ICPI), based on the albumin (ALB) and derived neutrophil-to-lymphocyte ratio (dNLR), for nonsmall cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitors (ICIs). METHODS: We conducted a...

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Autores principales: Zhou, Ying, Wu, Bin, Li, Tian, Zhang, Yong, Xu, Tianqi, Chang, Ning, Zhang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439892/
https://www.ncbi.nlm.nih.gov/pubmed/36059799
http://dx.doi.org/10.1155/2022/7050817
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author Zhou, Ying
Wu, Bin
Li, Tian
Zhang, Yong
Xu, Tianqi
Chang, Ning
Zhang, Jian
author_facet Zhou, Ying
Wu, Bin
Li, Tian
Zhang, Yong
Xu, Tianqi
Chang, Ning
Zhang, Jian
author_sort Zhou, Ying
collection PubMed
description OBJECTIVE: To evaluate the prognostic value of the immune checkpoint inhibitor prognostic index (ICPI), based on the albumin (ALB) and derived neutrophil-to-lymphocyte ratio (dNLR), for nonsmall cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitors (ICIs). METHODS: We conducted a multicentre retrospective study with an ICIs cohort (n = 143) and a chemotherapy control cohort (n = 84). A Cox proportional hazards regression and logistic regression model were used to find the independent risk factor for progression-free survival (PFS) and overall survival (OS) and disease control rate (DCR) in NSCLC patients. The Kaplan–Meier was used to evaluating the PFS and OS. RESULTS: The ALB <35 g/L and dNLR >3 were correlated with worse PFS and OS for NSCLC patients receiving ICIs, respectively. The moderately high-risk ICPI had a significantly increased risk of progression (hazard ratio (HR) 1.83, 95% confidence interval (CI) 1.14–2.91; P=0.012) and of death (HR 2.33, 95% CI 1.12–4.87; P=0.024) and of nondisease control (odds ratio (OR) 3.05, 95% CI 1.19–7.83; P=0.021) and was correlated with worse PFS and 1-year survival rates (4.0 months vs. 7.2 months; P=0.001; 44.3% vs. 76.1%; P=0.001) compared with low-risk ICPI when it was characterized two groups. When ICPI was further divided into three groups, the results showed that the high-risk ICPI was correlated with worse PFS and 1-year survival rates. However, there was no difference in the chemotherapy cohort. CONCLUSION: The ICPI was correlated with worse outcomes for NSCLC patients receiving ICIs but not for patients with chemotherapy.
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spelling pubmed-94398922022-09-03 Correlation between the Immune Checkpoint Inhibitors Prognostic Index and Outcomes in Nonsmall Cell Lung Cancer: A Multicentre Analysis Zhou, Ying Wu, Bin Li, Tian Zhang, Yong Xu, Tianqi Chang, Ning Zhang, Jian J Oncol Research Article OBJECTIVE: To evaluate the prognostic value of the immune checkpoint inhibitor prognostic index (ICPI), based on the albumin (ALB) and derived neutrophil-to-lymphocyte ratio (dNLR), for nonsmall cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitors (ICIs). METHODS: We conducted a multicentre retrospective study with an ICIs cohort (n = 143) and a chemotherapy control cohort (n = 84). A Cox proportional hazards regression and logistic regression model were used to find the independent risk factor for progression-free survival (PFS) and overall survival (OS) and disease control rate (DCR) in NSCLC patients. The Kaplan–Meier was used to evaluating the PFS and OS. RESULTS: The ALB <35 g/L and dNLR >3 were correlated with worse PFS and OS for NSCLC patients receiving ICIs, respectively. The moderately high-risk ICPI had a significantly increased risk of progression (hazard ratio (HR) 1.83, 95% confidence interval (CI) 1.14–2.91; P=0.012) and of death (HR 2.33, 95% CI 1.12–4.87; P=0.024) and of nondisease control (odds ratio (OR) 3.05, 95% CI 1.19–7.83; P=0.021) and was correlated with worse PFS and 1-year survival rates (4.0 months vs. 7.2 months; P=0.001; 44.3% vs. 76.1%; P=0.001) compared with low-risk ICPI when it was characterized two groups. When ICPI was further divided into three groups, the results showed that the high-risk ICPI was correlated with worse PFS and 1-year survival rates. However, there was no difference in the chemotherapy cohort. CONCLUSION: The ICPI was correlated with worse outcomes for NSCLC patients receiving ICIs but not for patients with chemotherapy. Hindawi 2022-08-26 /pmc/articles/PMC9439892/ /pubmed/36059799 http://dx.doi.org/10.1155/2022/7050817 Text en Copyright © 2022 Ying Zhou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhou, Ying
Wu, Bin
Li, Tian
Zhang, Yong
Xu, Tianqi
Chang, Ning
Zhang, Jian
Correlation between the Immune Checkpoint Inhibitors Prognostic Index and Outcomes in Nonsmall Cell Lung Cancer: A Multicentre Analysis
title Correlation between the Immune Checkpoint Inhibitors Prognostic Index and Outcomes in Nonsmall Cell Lung Cancer: A Multicentre Analysis
title_full Correlation between the Immune Checkpoint Inhibitors Prognostic Index and Outcomes in Nonsmall Cell Lung Cancer: A Multicentre Analysis
title_fullStr Correlation between the Immune Checkpoint Inhibitors Prognostic Index and Outcomes in Nonsmall Cell Lung Cancer: A Multicentre Analysis
title_full_unstemmed Correlation between the Immune Checkpoint Inhibitors Prognostic Index and Outcomes in Nonsmall Cell Lung Cancer: A Multicentre Analysis
title_short Correlation between the Immune Checkpoint Inhibitors Prognostic Index and Outcomes in Nonsmall Cell Lung Cancer: A Multicentre Analysis
title_sort correlation between the immune checkpoint inhibitors prognostic index and outcomes in nonsmall cell lung cancer: a multicentre analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9439892/
https://www.ncbi.nlm.nih.gov/pubmed/36059799
http://dx.doi.org/10.1155/2022/7050817
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