Cargando…

Analysis of prognostic factors affecting immune checkpoint inhibitor therapy in tumor patients exposed to antibiotics

OBJECTIVE: Meta-analysis was performed to evaluate the prognostic factors in tumor patients treated with immune checkpoint inhibitors (ICIs) under antibiotic exposure. METHOD: Literature on the effect of antibiotics on the prognosis of tumor patients receiving ICIs was retrieved from Pubmed, Cochran...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Qian, Zhang, Zhen, Li, Xiaoli, Feng, Shaomei, Liu, Shui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358726/
https://www.ncbi.nlm.nih.gov/pubmed/37483503
http://dx.doi.org/10.3389/fonc.2023.1204248
_version_ 1785075729332961280
author Chen, Qian
Zhang, Zhen
Li, Xiaoli
Feng, Shaomei
Liu, Shui
author_facet Chen, Qian
Zhang, Zhen
Li, Xiaoli
Feng, Shaomei
Liu, Shui
author_sort Chen, Qian
collection PubMed
description OBJECTIVE: Meta-analysis was performed to evaluate the prognostic factors in tumor patients treated with immune checkpoint inhibitors (ICIs) under antibiotic exposure. METHOD: Literature on the effect of antibiotics on the prognosis of tumor patients receiving ICIs was retrieved from Pubmed, Cochrane Library, EMbase, EBSCO Evidence-Based Medicine Database, China Biomedical Literature Database (CBM), and China National Knowledge Network (CNKI), and relevant influencing factors were extracted. Meta-analysis of efficacy was performed using RevMan 5.4 software. RESULTS: A total of nine studies for 1,677 patients were included. The meta-analysis results showed that, in terms of progression-free survival, gender (male vs. female), Eastern Cooperative Oncology Group performance status (ECOG PS) (1–2 vs. 0), history of another cancer (yes vs. no), liver metastasis (yes vs. no), antibiotics (within the previous 2 months), PD-L1 (1%–49%), and PD-L1 (≥50%) factors are associated with progression-free survival in patients treated with ICIs under antibiotic exposure. In terms of overall survival, gender (male vs. female), ECOG score (1–2 vs. 0), history of another cancer (yes vs. no), brain metastasis (yes vs. no), liver metastasis (yes vs. no), radiation (within the previous 3 months), antibiotics (within the previous 2 months), PD-L1 (1%–49%), and PD-L1 (≥50%) factors are associated with overall survival in patients with antibiotic exposure receiving ICIs for tumor treatment. CONCLUSION: Gender, ECOG score, history of another cancer, brain metastasis, liver metastasis, radiation (within the previous 3 months), antibiotics (within the previous 2 months), PD-L1 (1%–49%), and PD-L1 (≥50%) were associated with clinical benefit in patients with antibiotic exposure receiving ICIs for tumor treatment. Based on the above-mentioned factors, clinicians can screen cancer patients who receive ICIs under antibiotic exposure and rationally use antibiotics and ICIs in combination.
format Online
Article
Text
id pubmed-10358726
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-103587262023-07-21 Analysis of prognostic factors affecting immune checkpoint inhibitor therapy in tumor patients exposed to antibiotics Chen, Qian Zhang, Zhen Li, Xiaoli Feng, Shaomei Liu, Shui Front Oncol Oncology OBJECTIVE: Meta-analysis was performed to evaluate the prognostic factors in tumor patients treated with immune checkpoint inhibitors (ICIs) under antibiotic exposure. METHOD: Literature on the effect of antibiotics on the prognosis of tumor patients receiving ICIs was retrieved from Pubmed, Cochrane Library, EMbase, EBSCO Evidence-Based Medicine Database, China Biomedical Literature Database (CBM), and China National Knowledge Network (CNKI), and relevant influencing factors were extracted. Meta-analysis of efficacy was performed using RevMan 5.4 software. RESULTS: A total of nine studies for 1,677 patients were included. The meta-analysis results showed that, in terms of progression-free survival, gender (male vs. female), Eastern Cooperative Oncology Group performance status (ECOG PS) (1–2 vs. 0), history of another cancer (yes vs. no), liver metastasis (yes vs. no), antibiotics (within the previous 2 months), PD-L1 (1%–49%), and PD-L1 (≥50%) factors are associated with progression-free survival in patients treated with ICIs under antibiotic exposure. In terms of overall survival, gender (male vs. female), ECOG score (1–2 vs. 0), history of another cancer (yes vs. no), brain metastasis (yes vs. no), liver metastasis (yes vs. no), radiation (within the previous 3 months), antibiotics (within the previous 2 months), PD-L1 (1%–49%), and PD-L1 (≥50%) factors are associated with overall survival in patients with antibiotic exposure receiving ICIs for tumor treatment. CONCLUSION: Gender, ECOG score, history of another cancer, brain metastasis, liver metastasis, radiation (within the previous 3 months), antibiotics (within the previous 2 months), PD-L1 (1%–49%), and PD-L1 (≥50%) were associated with clinical benefit in patients with antibiotic exposure receiving ICIs for tumor treatment. Based on the above-mentioned factors, clinicians can screen cancer patients who receive ICIs under antibiotic exposure and rationally use antibiotics and ICIs in combination. Frontiers Media S.A. 2023-07-06 /pmc/articles/PMC10358726/ /pubmed/37483503 http://dx.doi.org/10.3389/fonc.2023.1204248 Text en Copyright © 2023 Chen, Zhang, Li, Feng and Liu 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
Chen, Qian
Zhang, Zhen
Li, Xiaoli
Feng, Shaomei
Liu, Shui
Analysis of prognostic factors affecting immune checkpoint inhibitor therapy in tumor patients exposed to antibiotics
title Analysis of prognostic factors affecting immune checkpoint inhibitor therapy in tumor patients exposed to antibiotics
title_full Analysis of prognostic factors affecting immune checkpoint inhibitor therapy in tumor patients exposed to antibiotics
title_fullStr Analysis of prognostic factors affecting immune checkpoint inhibitor therapy in tumor patients exposed to antibiotics
title_full_unstemmed Analysis of prognostic factors affecting immune checkpoint inhibitor therapy in tumor patients exposed to antibiotics
title_short Analysis of prognostic factors affecting immune checkpoint inhibitor therapy in tumor patients exposed to antibiotics
title_sort analysis of prognostic factors affecting immune checkpoint inhibitor therapy in tumor patients exposed to antibiotics
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358726/
https://www.ncbi.nlm.nih.gov/pubmed/37483503
http://dx.doi.org/10.3389/fonc.2023.1204248
work_keys_str_mv AT chenqian analysisofprognosticfactorsaffectingimmunecheckpointinhibitortherapyintumorpatientsexposedtoantibiotics
AT zhangzhen analysisofprognosticfactorsaffectingimmunecheckpointinhibitortherapyintumorpatientsexposedtoantibiotics
AT lixiaoli analysisofprognosticfactorsaffectingimmunecheckpointinhibitortherapyintumorpatientsexposedtoantibiotics
AT fengshaomei analysisofprognosticfactorsaffectingimmunecheckpointinhibitortherapyintumorpatientsexposedtoantibiotics
AT liushui analysisofprognosticfactorsaffectingimmunecheckpointinhibitortherapyintumorpatientsexposedtoantibiotics