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Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors
Programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1) is a negative modulatory signaling pathway for activation of T cell. It is acknowledged that PD-1/PD-L1 axis plays a crucial role in the progression of tumor by altering status of immune surveillance. As one of the most prom...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107958/ https://www.ncbi.nlm.nih.gov/pubmed/30139382 http://dx.doi.org/10.1186/s12943-018-0864-3 |
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author | Yi, Ming Jiao, Dechao Xu, Hanxiao Liu, Qian Zhao, Weiheng Han, Xinwei Wu, Kongming |
author_facet | Yi, Ming Jiao, Dechao Xu, Hanxiao Liu, Qian Zhao, Weiheng Han, Xinwei Wu, Kongming |
author_sort | Yi, Ming |
collection | PubMed |
description | Programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1) is a negative modulatory signaling pathway for activation of T cell. It is acknowledged that PD-1/PD-L1 axis plays a crucial role in the progression of tumor by altering status of immune surveillance. As one of the most promising immune therapy strategies, PD-1/PD-L1 inhibitor is a breakthrough for the therapy of some refractory tumors. However, response rate of PD-1/PD-L1 inhibitors in overall patients is unsatisfactory, which limits the application in clinical practice. Therefore, biomarkers which could effectively predict the efficacy of PD-1/PD-L1 inhibitors are crucial for patient selection. Biomarkers reflecting tumor immune microenvironment and tumor cell intrinsic features, such as PD-L1 expression, density of tumor infiltrating lymphocyte (TIL), tumor mutational burden, and mismatch-repair (MMR) deficiency, have been noticed to associate with treatment effect of anti-PD-1/anti-PD-L1 therapy. Furthermore, gut microbiota, circulating biomarkers, and patient previous history have been found as valuable predictors as well. Therefore establishing a comprehensive assessment framework involving multiple biomarkers would be meaningful to interrogate tumor immune landscape and select sensitive patients. |
format | Online Article Text |
id | pubmed-6107958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61079582018-08-29 Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors Yi, Ming Jiao, Dechao Xu, Hanxiao Liu, Qian Zhao, Weiheng Han, Xinwei Wu, Kongming Mol Cancer Review Programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1) is a negative modulatory signaling pathway for activation of T cell. It is acknowledged that PD-1/PD-L1 axis plays a crucial role in the progression of tumor by altering status of immune surveillance. As one of the most promising immune therapy strategies, PD-1/PD-L1 inhibitor is a breakthrough for the therapy of some refractory tumors. However, response rate of PD-1/PD-L1 inhibitors in overall patients is unsatisfactory, which limits the application in clinical practice. Therefore, biomarkers which could effectively predict the efficacy of PD-1/PD-L1 inhibitors are crucial for patient selection. Biomarkers reflecting tumor immune microenvironment and tumor cell intrinsic features, such as PD-L1 expression, density of tumor infiltrating lymphocyte (TIL), tumor mutational burden, and mismatch-repair (MMR) deficiency, have been noticed to associate with treatment effect of anti-PD-1/anti-PD-L1 therapy. Furthermore, gut microbiota, circulating biomarkers, and patient previous history have been found as valuable predictors as well. Therefore establishing a comprehensive assessment framework involving multiple biomarkers would be meaningful to interrogate tumor immune landscape and select sensitive patients. BioMed Central 2018-08-23 /pmc/articles/PMC6107958/ /pubmed/30139382 http://dx.doi.org/10.1186/s12943-018-0864-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Review Yi, Ming Jiao, Dechao Xu, Hanxiao Liu, Qian Zhao, Weiheng Han, Xinwei Wu, Kongming Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors |
title | Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors |
title_full | Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors |
title_fullStr | Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors |
title_full_unstemmed | Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors |
title_short | Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors |
title_sort | biomarkers for predicting efficacy of pd-1/pd-l1 inhibitors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107958/ https://www.ncbi.nlm.nih.gov/pubmed/30139382 http://dx.doi.org/10.1186/s12943-018-0864-3 |
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