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The lymphocyte-to-monocyte ratio could predict the efficacy of PD-1 inhibitors in patients with advanced cancer

BACKGROUND: PD-1/PD-L1 inhibitors have made remarkable achievements in the field of tumor treatment. However, most patients do not benefit from PD-1/PD-L1 inhibitor therapy, and some patients experience adverse reactions. Therefore, finding ideal prognostic indicators to predict the efficacy of PD-1...

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Autores principales: Xiao, Li, Li, Linlin, Chen, Guangyu, Zhang, Yong, Gao, Quanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799307/
https://www.ncbi.nlm.nih.gov/pubmed/35117780
http://dx.doi.org/10.21037/tcr-20-1451
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author Xiao, Li
Li, Linlin
Chen, Guangyu
Zhang, Yong
Gao, Quanli
author_facet Xiao, Li
Li, Linlin
Chen, Guangyu
Zhang, Yong
Gao, Quanli
author_sort Xiao, Li
collection PubMed
description BACKGROUND: PD-1/PD-L1 inhibitors have made remarkable achievements in the field of tumor treatment. However, most patients do not benefit from PD-1/PD-L1 inhibitor therapy, and some patients experience adverse reactions. Therefore, finding ideal prognostic indicators to predict the efficacy of PD-1/PD-L1 inhibitors and selecting populations that can potentially benefit clinically are crucial. The purpose of this retrospective analysis was to investigate the prognostic value of the lymphocyte-to-monocyte ratio (LMR) in patients with advanced tumors using PD-1 inhibitors to identify patients who may have a better response to PD-1 inhibitors. METHODS: The clinical data of 121 patients with advanced cancer at the Affiliated Tumor Hospital of Zhengzhou University were retrospectively analyzed. The receiver operating characteristic (ROC) curve was used to determine the best cutoff value of the LMR, and subsequently, the patients were divided into high- and low-LMR groups. Kaplan-Meier and log-rank tests were used to draw survival curves. Univariate and multivariate analyses used Cox proportional hazard regression models to assess the association between the LMR and overall survival (OS) or progression-free survival (PFS). RESULTS: The ROC curve showed that the areas under the curve at baseline and 6 weeks after anti-PD-1 antibody treatment LMR (LMR-week 1 and LMR-week 6, respectively) were 0.593 (P=0.164) and 0.713 (P=0.002), respectively. The optimal cutoff value of LMR-week 6 was 4.15, and in a total of 121 patients, 66 and 55 presented with LMR-week 6 <4.15 and ≥4.15, respectively. A low LMR-week 6 was associated with poor OS and PFS (P<0.001). The multivariate analysis showed that the independent factors related to OS were Eastern Cooperative Oncology Group (ECOG) performance status and LMR-week 6, and the independent factors related to PFS were smoking history, ECOG performance status, and LMR-week 6. The objective response rates (ORR) in the high- and low-LMR-week 6 groups were 32.7% and 7.6%, respectively, and were associated with elevated LMR-week 6 (P<0.001). CONCLUSIONS: LMR-week 6 is significantly related to the effect of anti-PD-1 antibody treatment; therefore, LMR-week 6 can be used as an early surrogate indicator for stratification in patients who respond better to anti-PD-1 drugs.
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spelling pubmed-87993072022-02-02 The lymphocyte-to-monocyte ratio could predict the efficacy of PD-1 inhibitors in patients with advanced cancer Xiao, Li Li, Linlin Chen, Guangyu Zhang, Yong Gao, Quanli Transl Cancer Res Original Article BACKGROUND: PD-1/PD-L1 inhibitors have made remarkable achievements in the field of tumor treatment. However, most patients do not benefit from PD-1/PD-L1 inhibitor therapy, and some patients experience adverse reactions. Therefore, finding ideal prognostic indicators to predict the efficacy of PD-1/PD-L1 inhibitors and selecting populations that can potentially benefit clinically are crucial. The purpose of this retrospective analysis was to investigate the prognostic value of the lymphocyte-to-monocyte ratio (LMR) in patients with advanced tumors using PD-1 inhibitors to identify patients who may have a better response to PD-1 inhibitors. METHODS: The clinical data of 121 patients with advanced cancer at the Affiliated Tumor Hospital of Zhengzhou University were retrospectively analyzed. The receiver operating characteristic (ROC) curve was used to determine the best cutoff value of the LMR, and subsequently, the patients were divided into high- and low-LMR groups. Kaplan-Meier and log-rank tests were used to draw survival curves. Univariate and multivariate analyses used Cox proportional hazard regression models to assess the association between the LMR and overall survival (OS) or progression-free survival (PFS). RESULTS: The ROC curve showed that the areas under the curve at baseline and 6 weeks after anti-PD-1 antibody treatment LMR (LMR-week 1 and LMR-week 6, respectively) were 0.593 (P=0.164) and 0.713 (P=0.002), respectively. The optimal cutoff value of LMR-week 6 was 4.15, and in a total of 121 patients, 66 and 55 presented with LMR-week 6 <4.15 and ≥4.15, respectively. A low LMR-week 6 was associated with poor OS and PFS (P<0.001). The multivariate analysis showed that the independent factors related to OS were Eastern Cooperative Oncology Group (ECOG) performance status and LMR-week 6, and the independent factors related to PFS were smoking history, ECOG performance status, and LMR-week 6. The objective response rates (ORR) in the high- and low-LMR-week 6 groups were 32.7% and 7.6%, respectively, and were associated with elevated LMR-week 6 (P<0.001). CONCLUSIONS: LMR-week 6 is significantly related to the effect of anti-PD-1 antibody treatment; therefore, LMR-week 6 can be used as an early surrogate indicator for stratification in patients who respond better to anti-PD-1 drugs. AME Publishing Company 2020-07 /pmc/articles/PMC8799307/ /pubmed/35117780 http://dx.doi.org/10.21037/tcr-20-1451 Text en 2020 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Article
Xiao, Li
Li, Linlin
Chen, Guangyu
Zhang, Yong
Gao, Quanli
The lymphocyte-to-monocyte ratio could predict the efficacy of PD-1 inhibitors in patients with advanced cancer
title The lymphocyte-to-monocyte ratio could predict the efficacy of PD-1 inhibitors in patients with advanced cancer
title_full The lymphocyte-to-monocyte ratio could predict the efficacy of PD-1 inhibitors in patients with advanced cancer
title_fullStr The lymphocyte-to-monocyte ratio could predict the efficacy of PD-1 inhibitors in patients with advanced cancer
title_full_unstemmed The lymphocyte-to-monocyte ratio could predict the efficacy of PD-1 inhibitors in patients with advanced cancer
title_short The lymphocyte-to-monocyte ratio could predict the efficacy of PD-1 inhibitors in patients with advanced cancer
title_sort lymphocyte-to-monocyte ratio could predict the efficacy of pd-1 inhibitors in patients with advanced cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799307/
https://www.ncbi.nlm.nih.gov/pubmed/35117780
http://dx.doi.org/10.21037/tcr-20-1451
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