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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...

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Autores principales: Yi, Ming, Jiao, Dechao, Xu, Hanxiao, Liu, Qian, Zhao, Weiheng, Han, Xinwei, Wu, Kongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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.
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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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