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Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis

INTRODUCTION: Checkpoint inhibitor pneumonitis (CIP) is a common serious adverse event caused by immune checkpoint inhibitors (ICIs), and severe CIP can be life-threatening. We aimed to investigate the role of peripheral blood cells in diagnosis, prediction, and prognosis evaluation for all and seve...

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Autores principales: Li, Yanlin, Jia, Xiaohui, Du, Yonghao, Mao, Ziyang, Zhang, Yajuan, Shen, Yuan, Sun, Hong, Liu, Mengjie, Niu, Gang, Wang, Jun, Hu, Jie, Jiao, Min, Guo, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413068/
https://www.ncbi.nlm.nih.gov/pubmed/36033529
http://dx.doi.org/10.3389/fonc.2022.827199
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author Li, Yanlin
Jia, Xiaohui
Du, Yonghao
Mao, Ziyang
Zhang, Yajuan
Shen, Yuan
Sun, Hong
Liu, Mengjie
Niu, Gang
Wang, Jun
Hu, Jie
Jiao, Min
Guo, Hui
author_facet Li, Yanlin
Jia, Xiaohui
Du, Yonghao
Mao, Ziyang
Zhang, Yajuan
Shen, Yuan
Sun, Hong
Liu, Mengjie
Niu, Gang
Wang, Jun
Hu, Jie
Jiao, Min
Guo, Hui
author_sort Li, Yanlin
collection PubMed
description INTRODUCTION: Checkpoint inhibitor pneumonitis (CIP) is a common serious adverse event caused by immune checkpoint inhibitors (ICIs), and severe CIP can be life-threatening. We aimed to investigate the role of peripheral blood cells in diagnosis, prediction, and prognosis evaluation for all and severe CIP. MATERIALS AND METHODS: Patients with lung cancer receiving ICIs were enrolled in this retrospective study. Baseline was defined as the time of ICI initiation, endpoint was defined as the time of clinical diagnosis of CIP or the last ICI treatment, and follow-up point was defined as 1 week after CIP. Eosinophil percentages at baseline, endpoint, and follow-up point were shortened to “E (bas)”, “E (end) and “E (fol)”, respectively. RESULTS: Among 430 patients included, the incidence of CIP was 15.6%, and severe CIP was 3.7%. The E (end)/E (bas) value was lower in patients with CIP (p = 0.001), especially severe CIP (p = 0.036). Receiver operating characteristic curves revealed that E (end)/E (bas) could serve as a biomarker to diagnose CIP (p = 0.004) and severe CIP (p < 0.001). For severe CIP, the eosinophil percentage declined before the symptoms appeared and CT diagnosis. The eosinophil percentage significantly elevated at the follow-up point in the recovery group but not in the non-recovery group. The CIP patients with E (fol)/E (bas) ≥1.0 had significantly prolonged overall survival (p = 0.024) and after-CIP survival (AS) (p = 0.043). The same results were found in severe CIP but without a statistical difference. CONCLUSIONS: Eosinophil percentage was associated with the diagnosis, prediction, and prognosis of CIP and severe CIP.
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spelling pubmed-94130682022-08-27 Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis Li, Yanlin Jia, Xiaohui Du, Yonghao Mao, Ziyang Zhang, Yajuan Shen, Yuan Sun, Hong Liu, Mengjie Niu, Gang Wang, Jun Hu, Jie Jiao, Min Guo, Hui Front Oncol Oncology INTRODUCTION: Checkpoint inhibitor pneumonitis (CIP) is a common serious adverse event caused by immune checkpoint inhibitors (ICIs), and severe CIP can be life-threatening. We aimed to investigate the role of peripheral blood cells in diagnosis, prediction, and prognosis evaluation for all and severe CIP. MATERIALS AND METHODS: Patients with lung cancer receiving ICIs were enrolled in this retrospective study. Baseline was defined as the time of ICI initiation, endpoint was defined as the time of clinical diagnosis of CIP or the last ICI treatment, and follow-up point was defined as 1 week after CIP. Eosinophil percentages at baseline, endpoint, and follow-up point were shortened to “E (bas)”, “E (end) and “E (fol)”, respectively. RESULTS: Among 430 patients included, the incidence of CIP was 15.6%, and severe CIP was 3.7%. The E (end)/E (bas) value was lower in patients with CIP (p = 0.001), especially severe CIP (p = 0.036). Receiver operating characteristic curves revealed that E (end)/E (bas) could serve as a biomarker to diagnose CIP (p = 0.004) and severe CIP (p < 0.001). For severe CIP, the eosinophil percentage declined before the symptoms appeared and CT diagnosis. The eosinophil percentage significantly elevated at the follow-up point in the recovery group but not in the non-recovery group. The CIP patients with E (fol)/E (bas) ≥1.0 had significantly prolonged overall survival (p = 0.024) and after-CIP survival (AS) (p = 0.043). The same results were found in severe CIP but without a statistical difference. CONCLUSIONS: Eosinophil percentage was associated with the diagnosis, prediction, and prognosis of CIP and severe CIP. Frontiers Media S.A. 2022-08-12 /pmc/articles/PMC9413068/ /pubmed/36033529 http://dx.doi.org/10.3389/fonc.2022.827199 Text en Copyright © 2022 Li, Jia, Du, Mao, Zhang, Shen, Sun, Liu, Niu, Wang, Hu, Jiao and Guo 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 Oncology
Li, Yanlin
Jia, Xiaohui
Du, Yonghao
Mao, Ziyang
Zhang, Yajuan
Shen, Yuan
Sun, Hong
Liu, Mengjie
Niu, Gang
Wang, Jun
Hu, Jie
Jiao, Min
Guo, Hui
Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis
title Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis
title_full Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis
title_fullStr Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis
title_full_unstemmed Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis
title_short Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis
title_sort eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413068/
https://www.ncbi.nlm.nih.gov/pubmed/36033529
http://dx.doi.org/10.3389/fonc.2022.827199
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