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Immune checkpoint inhibitors: recent progress and potential biomarkers
Cancer growth and progression are associated with immune suppression. Cancer cells have the ability to activate different immune checkpoint pathways that harbor immunosuppressive functions. Monoclonal antibodies that target immune checkpoints provided an immense breakthrough in cancer therapeutics....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292890/ https://www.ncbi.nlm.nih.gov/pubmed/30546008 http://dx.doi.org/10.1038/s12276-018-0191-1 |
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author | Darvin, Pramod Toor, Salman M. Sasidharan Nair, Varun Elkord, Eyad |
author_facet | Darvin, Pramod Toor, Salman M. Sasidharan Nair, Varun Elkord, Eyad |
author_sort | Darvin, Pramod |
collection | PubMed |
description | Cancer growth and progression are associated with immune suppression. Cancer cells have the ability to activate different immune checkpoint pathways that harbor immunosuppressive functions. Monoclonal antibodies that target immune checkpoints provided an immense breakthrough in cancer therapeutics. Among the immune checkpoint inhibitors, PD-1/PD-L1 and CTLA-4 inhibitors showed promising therapeutic outcomes, and some have been approved for certain cancer treatments, while others are under clinical trials. Recent reports have shown that patients with various malignancies benefit from immune checkpoint inhibitor treatment. However, mainstream initiation of immune checkpoint therapy to treat cancers is obstructed by the low response rate and immune-related adverse events in some cancer patients. This has given rise to the need for developing sets of biomarkers that predict the response to immune checkpoint blockade and immune-related adverse events. In this review, we discuss different predictive biomarkers for anti-PD-1/PD-L1 and anti-CTLA-4 inhibitors, including immune cells, PD-L1 overexpression, neoantigens, and genetic and epigenetic signatures. Potential approaches for further developing highly reliable predictive biomarkers should facilitate patient selection for and decision-making related to immune checkpoint inhibitor-based therapies. |
format | Online Article Text |
id | pubmed-6292890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62928902018-12-27 Immune checkpoint inhibitors: recent progress and potential biomarkers Darvin, Pramod Toor, Salman M. Sasidharan Nair, Varun Elkord, Eyad Exp Mol Med Review Article Cancer growth and progression are associated with immune suppression. Cancer cells have the ability to activate different immune checkpoint pathways that harbor immunosuppressive functions. Monoclonal antibodies that target immune checkpoints provided an immense breakthrough in cancer therapeutics. Among the immune checkpoint inhibitors, PD-1/PD-L1 and CTLA-4 inhibitors showed promising therapeutic outcomes, and some have been approved for certain cancer treatments, while others are under clinical trials. Recent reports have shown that patients with various malignancies benefit from immune checkpoint inhibitor treatment. However, mainstream initiation of immune checkpoint therapy to treat cancers is obstructed by the low response rate and immune-related adverse events in some cancer patients. This has given rise to the need for developing sets of biomarkers that predict the response to immune checkpoint blockade and immune-related adverse events. In this review, we discuss different predictive biomarkers for anti-PD-1/PD-L1 and anti-CTLA-4 inhibitors, including immune cells, PD-L1 overexpression, neoantigens, and genetic and epigenetic signatures. Potential approaches for further developing highly reliable predictive biomarkers should facilitate patient selection for and decision-making related to immune checkpoint inhibitor-based therapies. Nature Publishing Group UK 2018-12-13 /pmc/articles/PMC6292890/ /pubmed/30546008 http://dx.doi.org/10.1038/s12276-018-0191-1 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Article Darvin, Pramod Toor, Salman M. Sasidharan Nair, Varun Elkord, Eyad Immune checkpoint inhibitors: recent progress and potential biomarkers |
title | Immune checkpoint inhibitors: recent progress and potential biomarkers |
title_full | Immune checkpoint inhibitors: recent progress and potential biomarkers |
title_fullStr | Immune checkpoint inhibitors: recent progress and potential biomarkers |
title_full_unstemmed | Immune checkpoint inhibitors: recent progress and potential biomarkers |
title_short | Immune checkpoint inhibitors: recent progress and potential biomarkers |
title_sort | immune checkpoint inhibitors: recent progress and potential biomarkers |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292890/ https://www.ncbi.nlm.nih.gov/pubmed/30546008 http://dx.doi.org/10.1038/s12276-018-0191-1 |
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