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The predictive value of tumor mutation burden for immune checkpoint inhibitors therapy in non-small cell lung cancer is affected by patients’ age

High tumor mutation burden (TMB), which is associated with increased tumor immunogenicity, has been identified to predict improved response to immune checkpoint inhibitors (ICIs) therapy in non-small cell lung cancer (NSCLC). As host immunity is also significant to eliminate cancer cells, however, i...

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Autores principales: Wu, Yongfeng, Xu, Jinming, Xu, Jiawei, Wang, Yiqing, Wang, Luming, Lv, Wang, Hu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146978/
https://www.ncbi.nlm.nih.gov/pubmed/32308981
http://dx.doi.org/10.1186/s40364-020-00188-2
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author Wu, Yongfeng
Xu, Jinming
Xu, Jiawei
Wang, Yiqing
Wang, Luming
Lv, Wang
Hu, Jian
author_facet Wu, Yongfeng
Xu, Jinming
Xu, Jiawei
Wang, Yiqing
Wang, Luming
Lv, Wang
Hu, Jian
author_sort Wu, Yongfeng
collection PubMed
description High tumor mutation burden (TMB), which is associated with increased tumor immunogenicity, has been identified to predict improved response to immune checkpoint inhibitors (ICIs) therapy in non-small cell lung cancer (NSCLC). As host immunity is also significant to eliminate cancer cells, however, its clinical impact on cancer immunotherapy is still largely unknown. Here we explored the influence of age, which is an important characteristic to evaluate immune response of patients, on TMB-based predictive system for ICIs therapy in NSCLC. Our results showed that high TMB was capable of predicting better durable clinical benefit (DCB) in age(low) group, while it was insignificant in age(high) group. Besides, the predictive power of TMB for progression-free survival (PFS) and overall survival (OS) was better in age(low) group than in age(high) group. Our study illustrated that the predictive value of TMB for ICIs therapy was better in young patients than in elderly patients in NSCLC.
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spelling pubmed-71469782020-04-18 The predictive value of tumor mutation burden for immune checkpoint inhibitors therapy in non-small cell lung cancer is affected by patients’ age Wu, Yongfeng Xu, Jinming Xu, Jiawei Wang, Yiqing Wang, Luming Lv, Wang Hu, Jian Biomark Res Letter to the Editor High tumor mutation burden (TMB), which is associated with increased tumor immunogenicity, has been identified to predict improved response to immune checkpoint inhibitors (ICIs) therapy in non-small cell lung cancer (NSCLC). As host immunity is also significant to eliminate cancer cells, however, its clinical impact on cancer immunotherapy is still largely unknown. Here we explored the influence of age, which is an important characteristic to evaluate immune response of patients, on TMB-based predictive system for ICIs therapy in NSCLC. Our results showed that high TMB was capable of predicting better durable clinical benefit (DCB) in age(low) group, while it was insignificant in age(high) group. Besides, the predictive power of TMB for progression-free survival (PFS) and overall survival (OS) was better in age(low) group than in age(high) group. Our study illustrated that the predictive value of TMB for ICIs therapy was better in young patients than in elderly patients in NSCLC. BioMed Central 2020-04-09 /pmc/articles/PMC7146978/ /pubmed/32308981 http://dx.doi.org/10.1186/s40364-020-00188-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Letter to the Editor
Wu, Yongfeng
Xu, Jinming
Xu, Jiawei
Wang, Yiqing
Wang, Luming
Lv, Wang
Hu, Jian
The predictive value of tumor mutation burden for immune checkpoint inhibitors therapy in non-small cell lung cancer is affected by patients’ age
title The predictive value of tumor mutation burden for immune checkpoint inhibitors therapy in non-small cell lung cancer is affected by patients’ age
title_full The predictive value of tumor mutation burden for immune checkpoint inhibitors therapy in non-small cell lung cancer is affected by patients’ age
title_fullStr The predictive value of tumor mutation burden for immune checkpoint inhibitors therapy in non-small cell lung cancer is affected by patients’ age
title_full_unstemmed The predictive value of tumor mutation burden for immune checkpoint inhibitors therapy in non-small cell lung cancer is affected by patients’ age
title_short The predictive value of tumor mutation burden for immune checkpoint inhibitors therapy in non-small cell lung cancer is affected by patients’ age
title_sort predictive value of tumor mutation burden for immune checkpoint inhibitors therapy in non-small cell lung cancer is affected by patients’ age
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146978/
https://www.ncbi.nlm.nih.gov/pubmed/32308981
http://dx.doi.org/10.1186/s40364-020-00188-2
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