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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...

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Detalles Bibliográficos
Autores principales: Zhu, Yingming, Zhao, Fen, Li, Zhenxiang, Yu, Jinming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
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.
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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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