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The landscape of immune checkpoints expression in non-small cell lung cancer: a narrative review
With the increasing clinical potential of tumor immunotherapy, more and more clinical trials are undergoing with immune checkpoint inhibitors (ICIs). Immune checkpoints (ICs) have been identified as crucial regulators of the immune response and have improved ICIs-inhibitor therapeutic strategies. Th...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947413/ https://www.ncbi.nlm.nih.gov/pubmed/33718041 http://dx.doi.org/10.21037/tlcr-20-1019 |
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author | Liu, Yu Chen, Peixin Wang, Hao Wu, Shengyu Zhao, Sha He, Yayi Zhou, Caicun Hirsch, Fred R. |
author_facet | Liu, Yu Chen, Peixin Wang, Hao Wu, Shengyu Zhao, Sha He, Yayi Zhou, Caicun Hirsch, Fred R. |
author_sort | Liu, Yu |
collection | PubMed |
description | With the increasing clinical potential of tumor immunotherapy, more and more clinical trials are undergoing with immune checkpoint inhibitors (ICIs). Immune checkpoints (ICs) have been identified as crucial regulators of the immune response and have improved ICIs-inhibitor therapeutic strategies. The most important ICs in lung cancer include programmed cell death-1 (PD-1), programmed cell death ligand-1 (PD-L1), lymphocyte activation gene-3 (LAG-3), major histocompatibility complex class II (MHC II), T cell immunoglobulin and mucin-domain containing-3 (TIM-3), and Galectin-9 (GAL-9), OX-40, OX40L. However, the expression and prognostic value of these ICs are still controversial. Among them, high expression of PD-L1 on tumor cells (>50%) predicts a better therapeutic effect of anti-PD-1 monoclonal antibody compared to patients with low PD-L1 expression. However, only 20–30% of non-small cell lung cancer (NSCLC) patients seem to get benefit from immunotherapy. In order to improve the immunotherapy outcomes, more and more attention is paid to combination immunotherapy. Analyzing the co-expression of ICs can give us a more comprehensive basis for combination immunotherapy. This review article summarized our comprehensive expression of ICs based on our previous research, and analyzed their correlation with prognosis in NSCLC patients. We also provided suggestions for potentially personalized combination immunotherapy in NSCLC. |
format | Online Article Text |
id | pubmed-7947413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-79474132021-03-12 The landscape of immune checkpoints expression in non-small cell lung cancer: a narrative review Liu, Yu Chen, Peixin Wang, Hao Wu, Shengyu Zhao, Sha He, Yayi Zhou, Caicun Hirsch, Fred R. Transl Lung Cancer Res Review Article With the increasing clinical potential of tumor immunotherapy, more and more clinical trials are undergoing with immune checkpoint inhibitors (ICIs). Immune checkpoints (ICs) have been identified as crucial regulators of the immune response and have improved ICIs-inhibitor therapeutic strategies. The most important ICs in lung cancer include programmed cell death-1 (PD-1), programmed cell death ligand-1 (PD-L1), lymphocyte activation gene-3 (LAG-3), major histocompatibility complex class II (MHC II), T cell immunoglobulin and mucin-domain containing-3 (TIM-3), and Galectin-9 (GAL-9), OX-40, OX40L. However, the expression and prognostic value of these ICs are still controversial. Among them, high expression of PD-L1 on tumor cells (>50%) predicts a better therapeutic effect of anti-PD-1 monoclonal antibody compared to patients with low PD-L1 expression. However, only 20–30% of non-small cell lung cancer (NSCLC) patients seem to get benefit from immunotherapy. In order to improve the immunotherapy outcomes, more and more attention is paid to combination immunotherapy. Analyzing the co-expression of ICs can give us a more comprehensive basis for combination immunotherapy. This review article summarized our comprehensive expression of ICs based on our previous research, and analyzed their correlation with prognosis in NSCLC patients. We also provided suggestions for potentially personalized combination immunotherapy in NSCLC. AME Publishing Company 2021-02 /pmc/articles/PMC7947413/ /pubmed/33718041 http://dx.doi.org/10.21037/tlcr-20-1019 Text en 2021 Translational Lung Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Review Article Liu, Yu Chen, Peixin Wang, Hao Wu, Shengyu Zhao, Sha He, Yayi Zhou, Caicun Hirsch, Fred R. The landscape of immune checkpoints expression in non-small cell lung cancer: a narrative review |
title | The landscape of immune checkpoints expression in non-small cell lung cancer: a narrative review |
title_full | The landscape of immune checkpoints expression in non-small cell lung cancer: a narrative review |
title_fullStr | The landscape of immune checkpoints expression in non-small cell lung cancer: a narrative review |
title_full_unstemmed | The landscape of immune checkpoints expression in non-small cell lung cancer: a narrative review |
title_short | The landscape of immune checkpoints expression in non-small cell lung cancer: a narrative review |
title_sort | landscape of immune checkpoints expression in non-small cell lung cancer: a narrative review |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947413/ https://www.ncbi.nlm.nih.gov/pubmed/33718041 http://dx.doi.org/10.21037/tlcr-20-1019 |
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