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Blood cell counts can predict adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis

BACKGROUND: Cancer is concerning owing to its high mortality rate. Consequently, methods of prolonging the life of patients with cancer have become the primary focus of attention research. In recent years, immune checkpoint inhibitors (ICIs) have achieved good clinical efficacy as antitumor drugs; h...

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Autores principales: Zhou, Juyue, Du, Zhonghai, Fu, Jie, Yi, Xiuxiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029759/
https://www.ncbi.nlm.nih.gov/pubmed/36960068
http://dx.doi.org/10.3389/fimmu.2023.1117447
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author Zhou, Juyue
Du, Zhonghai
Fu, Jie
Yi, Xiuxiu
author_facet Zhou, Juyue
Du, Zhonghai
Fu, Jie
Yi, Xiuxiu
author_sort Zhou, Juyue
collection PubMed
description BACKGROUND: Cancer is concerning owing to its high mortality rate. Consequently, methods of prolonging the life of patients with cancer have become the primary focus of attention research. In recent years, immune checkpoint inhibitors (ICIs) have achieved good clinical efficacy as antitumor drugs; however, their severe adverse effects have made their use challenging. In order to clarify the predictors of adverse effects, scientists have conducted a series of studies. Blood counts can potentially monitor risk factors associated with the occurrence of immune-related adverse events (irAEs). Herein, a meta-analysis was performed to clarify further the guiding significance of blood counts in the clinical setting. METHODS: Studies that satisfied the inclusion criteria were obtained by searching the database. Included studies were those in which irAEs had been observed, and evidence of an association between blood counts and irAEs was reported. The included ones were evaluated for quality. In addition to sensitivity analysis and subgroup analysis, a meta-analysis was performed using the odds ratio (OR) and 95% confidence interval (CI) for each study. RESULTS: A total of 18 articles were included in our study. The analyses were performed separately according to different blood cell count indicators. The blood cell count metrics associated with irAEs were: absolute eosinophil count, neutrophil: lymphocyte ratio, and platelet: lymphocyte ratio. CONCLUSION: Our review and meta-analysis of studies suggest that absolute eosinophil count, neutrophil: lymphocyte ratio, and platelet: lymphocyte ratio may serve as predictors of the emergence of irAEs. Given the small number of studies focusing on the relationship between patient blood cell counts and the risk of irAEs, future studies need to further explore the mechanisms of occurrence and potential associations.
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spelling pubmed-100297592023-03-22 Blood cell counts can predict adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis Zhou, Juyue Du, Zhonghai Fu, Jie Yi, Xiuxiu Front Immunol Immunology BACKGROUND: Cancer is concerning owing to its high mortality rate. Consequently, methods of prolonging the life of patients with cancer have become the primary focus of attention research. In recent years, immune checkpoint inhibitors (ICIs) have achieved good clinical efficacy as antitumor drugs; however, their severe adverse effects have made their use challenging. In order to clarify the predictors of adverse effects, scientists have conducted a series of studies. Blood counts can potentially monitor risk factors associated with the occurrence of immune-related adverse events (irAEs). Herein, a meta-analysis was performed to clarify further the guiding significance of blood counts in the clinical setting. METHODS: Studies that satisfied the inclusion criteria were obtained by searching the database. Included studies were those in which irAEs had been observed, and evidence of an association between blood counts and irAEs was reported. The included ones were evaluated for quality. In addition to sensitivity analysis and subgroup analysis, a meta-analysis was performed using the odds ratio (OR) and 95% confidence interval (CI) for each study. RESULTS: A total of 18 articles were included in our study. The analyses were performed separately according to different blood cell count indicators. The blood cell count metrics associated with irAEs were: absolute eosinophil count, neutrophil: lymphocyte ratio, and platelet: lymphocyte ratio. CONCLUSION: Our review and meta-analysis of studies suggest that absolute eosinophil count, neutrophil: lymphocyte ratio, and platelet: lymphocyte ratio may serve as predictors of the emergence of irAEs. Given the small number of studies focusing on the relationship between patient blood cell counts and the risk of irAEs, future studies need to further explore the mechanisms of occurrence and potential associations. Frontiers Media S.A. 2023-03-07 /pmc/articles/PMC10029759/ /pubmed/36960068 http://dx.doi.org/10.3389/fimmu.2023.1117447 Text en Copyright © 2023 Zhou, Du, Fu and Yi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Zhou, Juyue
Du, Zhonghai
Fu, Jie
Yi, Xiuxiu
Blood cell counts can predict adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis
title Blood cell counts can predict adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis
title_full Blood cell counts can predict adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis
title_fullStr Blood cell counts can predict adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis
title_full_unstemmed Blood cell counts can predict adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis
title_short Blood cell counts can predict adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis
title_sort blood cell counts can predict adverse events of immune checkpoint inhibitors: a systematic review and meta-analysis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029759/
https://www.ncbi.nlm.nih.gov/pubmed/36960068
http://dx.doi.org/10.3389/fimmu.2023.1117447
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