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Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors
Immune checkpoint inhibitors (ICIs), represented by anti-CTLA-4 or anti-PD-1/anti-PD-L1 pathway antibodies, have led to a revolution in cancer treatment modalities. ICIs have unique clinical benefits, such as effectiveness against a broad range of tumor types, strong overall impact on survival, and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086110/ https://www.ncbi.nlm.nih.gov/pubmed/30122997 http://dx.doi.org/10.2147/CMAR.S167400 |
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author | Zhu, Yingming Zhao, Fen Li, Zhenxiang Yu, Jinming |
author_facet | Zhu, Yingming Zhao, Fen Li, Zhenxiang Yu, Jinming |
author_sort | Zhu, Yingming |
collection | PubMed |
description | Immune checkpoint inhibitors (ICIs), represented by anti-CTLA-4 or anti-PD-1/anti-PD-L1 pathway antibodies, have led to a revolution in cancer treatment modalities. ICIs have unique clinical benefits, such as effectiveness against a broad range of tumor types, strong overall impact on survival, and persistent responses after the cessation of therapy. However, only a subset of patients responds to these therapies, and a small proportion of patients even experience rapid progression or an increased risk of death. Therefore, it is imperative to optimize patient selection for treatment. This review focuses on the mechanisms of tumor escape from immune surveillance, the composition and activity of a preexisting immune infiltrate, the degree of tumor foreignness (as reflected by the mutational burden, expression of viral genes, and driver gene mutations), and host factors (including peripheral blood biomarkers, genetic polymorphisms, and gut microbiome) to summarize current evidence on the biomarkers of responses to ICIs and explore the future prospects in this field. |
format | Online Article Text |
id | pubmed-6086110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60861102018-08-17 Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors Zhu, Yingming Zhao, Fen Li, Zhenxiang Yu, Jinming Cancer Manag Res Review Immune checkpoint inhibitors (ICIs), represented by anti-CTLA-4 or anti-PD-1/anti-PD-L1 pathway antibodies, have led to a revolution in cancer treatment modalities. ICIs have unique clinical benefits, such as effectiveness against a broad range of tumor types, strong overall impact on survival, and persistent responses after the cessation of therapy. However, only a subset of patients responds to these therapies, and a small proportion of patients even experience rapid progression or an increased risk of death. Therefore, it is imperative to optimize patient selection for treatment. This review focuses on the mechanisms of tumor escape from immune surveillance, the composition and activity of a preexisting immune infiltrate, the degree of tumor foreignness (as reflected by the mutational burden, expression of viral genes, and driver gene mutations), and host factors (including peripheral blood biomarkers, genetic polymorphisms, and gut microbiome) to summarize current evidence on the biomarkers of responses to ICIs and explore the future prospects in this field. Dove Medical Press 2018-08-07 /pmc/articles/PMC6086110/ /pubmed/30122997 http://dx.doi.org/10.2147/CMAR.S167400 Text en © 2018 Zhu et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Review Zhu, Yingming Zhao, Fen Li, Zhenxiang Yu, Jinming Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors |
title | Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors |
title_full | Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors |
title_fullStr | Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors |
title_full_unstemmed | Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors |
title_short | Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors |
title_sort | current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086110/ https://www.ncbi.nlm.nih.gov/pubmed/30122997 http://dx.doi.org/10.2147/CMAR.S167400 |
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