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Predictive value of tumor mutational burden for PD-1/PD-L1 inhibitors in NSCLC: A meta-analysis

BACKGROUND: To investigate the association between tumor mutational burden (TMB) and the therapeutic effect of Programmed Death 1/Programmed Death Ligand 1 inhibitors in non-small cell lung cancer. METHODS: Four electronic databases, PubMed, Embase, Web of Science, and Cochrane Library, were searche...

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Autores principales: Li, Wenjie, Zhao, Yanjun, Zhang, Hongjun, Zheng, Wenying, Wang, Ruixuan, Gu, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553067/
https://www.ncbi.nlm.nih.gov/pubmed/37800825
http://dx.doi.org/10.1097/MD.0000000000034990
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author Li, Wenjie
Zhao, Yanjun
Zhang, Hongjun
Zheng, Wenying
Wang, Ruixuan
Gu, Xing
author_facet Li, Wenjie
Zhao, Yanjun
Zhang, Hongjun
Zheng, Wenying
Wang, Ruixuan
Gu, Xing
author_sort Li, Wenjie
collection PubMed
description BACKGROUND: To investigate the association between tumor mutational burden (TMB) and the therapeutic effect of Programmed Death 1/Programmed Death Ligand 1 inhibitors in non-small cell lung cancer. METHODS: Four electronic databases, PubMed, Embase, Web of Science, and Cochrane Library, were searched on May 10, 2023, and no time limitation was applied. Analyses were performed using STATA17.0. We assessed the methodological quality of each randomized controlled trial using the Newcastle-Ottawa scale. RESULTS: After exhaustive database search and rigorous screening, 10 studies were included in the meta-analysis. Our findings indicate that high TMB significantly improves progression-free survival but reduces overall response rate. The overall survival was not significantly different between the high and low TMB groups. No significant publication bias was observed. CONCLUSION: High TMB serves as a potential predictive biomarker for improved progression-free survival and reduced overall response rate in patients with non-small cell lung cancer treated with programmed death 1/programmed death ligand 1 inhibitors. However, its predictive value in overall survival requires further investigation.
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spelling pubmed-105530672023-10-06 Predictive value of tumor mutational burden for PD-1/PD-L1 inhibitors in NSCLC: A meta-analysis Li, Wenjie Zhao, Yanjun Zhang, Hongjun Zheng, Wenying Wang, Ruixuan Gu, Xing Medicine (Baltimore) 6700 BACKGROUND: To investigate the association between tumor mutational burden (TMB) and the therapeutic effect of Programmed Death 1/Programmed Death Ligand 1 inhibitors in non-small cell lung cancer. METHODS: Four electronic databases, PubMed, Embase, Web of Science, and Cochrane Library, were searched on May 10, 2023, and no time limitation was applied. Analyses were performed using STATA17.0. We assessed the methodological quality of each randomized controlled trial using the Newcastle-Ottawa scale. RESULTS: After exhaustive database search and rigorous screening, 10 studies were included in the meta-analysis. Our findings indicate that high TMB significantly improves progression-free survival but reduces overall response rate. The overall survival was not significantly different between the high and low TMB groups. No significant publication bias was observed. CONCLUSION: High TMB serves as a potential predictive biomarker for improved progression-free survival and reduced overall response rate in patients with non-small cell lung cancer treated with programmed death 1/programmed death ligand 1 inhibitors. However, its predictive value in overall survival requires further investigation. Lippincott Williams & Wilkins 2023-10-06 /pmc/articles/PMC10553067/ /pubmed/37800825 http://dx.doi.org/10.1097/MD.0000000000034990 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 6700
Li, Wenjie
Zhao, Yanjun
Zhang, Hongjun
Zheng, Wenying
Wang, Ruixuan
Gu, Xing
Predictive value of tumor mutational burden for PD-1/PD-L1 inhibitors in NSCLC: A meta-analysis
title Predictive value of tumor mutational burden for PD-1/PD-L1 inhibitors in NSCLC: A meta-analysis
title_full Predictive value of tumor mutational burden for PD-1/PD-L1 inhibitors in NSCLC: A meta-analysis
title_fullStr Predictive value of tumor mutational burden for PD-1/PD-L1 inhibitors in NSCLC: A meta-analysis
title_full_unstemmed Predictive value of tumor mutational burden for PD-1/PD-L1 inhibitors in NSCLC: A meta-analysis
title_short Predictive value of tumor mutational burden for PD-1/PD-L1 inhibitors in NSCLC: A meta-analysis
title_sort predictive value of tumor mutational burden for pd-1/pd-l1 inhibitors in nsclc: a meta-analysis
topic 6700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553067/
https://www.ncbi.nlm.nih.gov/pubmed/37800825
http://dx.doi.org/10.1097/MD.0000000000034990
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