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Association of antibiotic treatment with immune-related adverse events in patients with cancer receiving immunotherapy
BACKGROUND: To determine whether antibiotic treatment is a risk factor for immune-related adverse events (irAEs) across different patients with cancer receiving anti-PD-1/PD-L1 therapies. METHODS: The retrospective analysis includes clinical information from 767 patients with cancer treated at Hunan...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772460/ https://www.ncbi.nlm.nih.gov/pubmed/35058327 http://dx.doi.org/10.1136/jitc-2021-003779 |
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author | Jing, Ying Chen, Xue Li, Kunyan Liu, Yaoming Zhang, Zhao Chen, Yiqing Liu, Yuan Wang, Yushu Lin, Steven H Diao, Lixia Wang, Jing Lou, Yanyan Johnson, Douglas B Chen, Xiang Liu, Hong Han, Leng |
author_facet | Jing, Ying Chen, Xue Li, Kunyan Liu, Yaoming Zhang, Zhao Chen, Yiqing Liu, Yuan Wang, Yushu Lin, Steven H Diao, Lixia Wang, Jing Lou, Yanyan Johnson, Douglas B Chen, Xiang Liu, Hong Han, Leng |
author_sort | Jing, Ying |
collection | PubMed |
description | BACKGROUND: To determine whether antibiotic treatment is a risk factor for immune-related adverse events (irAEs) across different patients with cancer receiving anti-PD-1/PD-L1 therapies. METHODS: The retrospective analysis includes clinical information from 767 patients with cancer treated at Hunan Cancer Hospital from 2017 to 2020. The pharmacovigilance data analysis includes individual cases of 38,705 safety reports from the US Food and Drug Administration Adverse Event Reporting System (FAERS) from 2014 to 2020, and 25,122 cases of safety reports from the World Health Organization database VigiBase from 2014 to 2019. All cases that received anti-PD-1/PD-L1 treatment were included. Multiomics data from patients across 25 cancer types were download from The Cancer Genome Atlas. Logistic regression and propensity score algorithm was employed to calculate OR of irAEs. RESULTS: Retrospective analysis of in-house patients showed that irAE potential risks are higher in all cancer (OR 2.12, 95% CI 1.38 to 3.22, false discovery rate (FDR) adjusted-p=1.93×10(−3)) and patients with lung cancer (OR 3.16, 95% CI 1.67 to 5.95, FDR adjusted-p=1.93×10(−3)) when using antibiotics. Potential risk of irAEs in patients with lung cancer with antibiotic treatment is significantly higher in FAERS (OR 1.39, 95% CI 1.21 to 1.59; FDR adjusted-p=1.62×10(−5)) and VigiBase (OR 1.32, 95% CI 1.09 to 1.59, FDR adjusted-p=0.05). Mechanistically, decreased microbial diversity caused by antibiotics use may increase the irAE risk through mediating the irAE-related factors. CONCLUSIONS: Our study is the first to comprehensively demonstrate the associations of irAEs and antibiotic during anti-PD-1/PD-L1 therapy across a wide spectrum of cancers by analyzing multisource data. Administration of antibiotics should be carefully evaluated in patients with cancer treated by anti-PD-1/PD-L1 to avoid potentially increasing irAE risk. |
format | Online Article Text |
id | pubmed-8772460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-87724602022-02-04 Association of antibiotic treatment with immune-related adverse events in patients with cancer receiving immunotherapy Jing, Ying Chen, Xue Li, Kunyan Liu, Yaoming Zhang, Zhao Chen, Yiqing Liu, Yuan Wang, Yushu Lin, Steven H Diao, Lixia Wang, Jing Lou, Yanyan Johnson, Douglas B Chen, Xiang Liu, Hong Han, Leng J Immunother Cancer Clinical/Translational Cancer Immunotherapy BACKGROUND: To determine whether antibiotic treatment is a risk factor for immune-related adverse events (irAEs) across different patients with cancer receiving anti-PD-1/PD-L1 therapies. METHODS: The retrospective analysis includes clinical information from 767 patients with cancer treated at Hunan Cancer Hospital from 2017 to 2020. The pharmacovigilance data analysis includes individual cases of 38,705 safety reports from the US Food and Drug Administration Adverse Event Reporting System (FAERS) from 2014 to 2020, and 25,122 cases of safety reports from the World Health Organization database VigiBase from 2014 to 2019. All cases that received anti-PD-1/PD-L1 treatment were included. Multiomics data from patients across 25 cancer types were download from The Cancer Genome Atlas. Logistic regression and propensity score algorithm was employed to calculate OR of irAEs. RESULTS: Retrospective analysis of in-house patients showed that irAE potential risks are higher in all cancer (OR 2.12, 95% CI 1.38 to 3.22, false discovery rate (FDR) adjusted-p=1.93×10(−3)) and patients with lung cancer (OR 3.16, 95% CI 1.67 to 5.95, FDR adjusted-p=1.93×10(−3)) when using antibiotics. Potential risk of irAEs in patients with lung cancer with antibiotic treatment is significantly higher in FAERS (OR 1.39, 95% CI 1.21 to 1.59; FDR adjusted-p=1.62×10(−5)) and VigiBase (OR 1.32, 95% CI 1.09 to 1.59, FDR adjusted-p=0.05). Mechanistically, decreased microbial diversity caused by antibiotics use may increase the irAE risk through mediating the irAE-related factors. CONCLUSIONS: Our study is the first to comprehensively demonstrate the associations of irAEs and antibiotic during anti-PD-1/PD-L1 therapy across a wide spectrum of cancers by analyzing multisource data. Administration of antibiotics should be carefully evaluated in patients with cancer treated by anti-PD-1/PD-L1 to avoid potentially increasing irAE risk. BMJ Publishing Group 2022-01-19 /pmc/articles/PMC8772460/ /pubmed/35058327 http://dx.doi.org/10.1136/jitc-2021-003779 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Clinical/Translational Cancer Immunotherapy Jing, Ying Chen, Xue Li, Kunyan Liu, Yaoming Zhang, Zhao Chen, Yiqing Liu, Yuan Wang, Yushu Lin, Steven H Diao, Lixia Wang, Jing Lou, Yanyan Johnson, Douglas B Chen, Xiang Liu, Hong Han, Leng Association of antibiotic treatment with immune-related adverse events in patients with cancer receiving immunotherapy |
title | Association of antibiotic treatment with immune-related adverse events in patients with cancer receiving immunotherapy |
title_full | Association of antibiotic treatment with immune-related adverse events in patients with cancer receiving immunotherapy |
title_fullStr | Association of antibiotic treatment with immune-related adverse events in patients with cancer receiving immunotherapy |
title_full_unstemmed | Association of antibiotic treatment with immune-related adverse events in patients with cancer receiving immunotherapy |
title_short | Association of antibiotic treatment with immune-related adverse events in patients with cancer receiving immunotherapy |
title_sort | association of antibiotic treatment with immune-related adverse events in patients with cancer receiving immunotherapy |
topic | Clinical/Translational Cancer Immunotherapy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772460/ https://www.ncbi.nlm.nih.gov/pubmed/35058327 http://dx.doi.org/10.1136/jitc-2021-003779 |
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