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Germline genetic variation and predicting immune checkpoint inhibitor induced toxicity
Immune checkpoint inhibitor (ICI) therapy has revolutionised the treatment of various cancer types. ICIs reinstate T-cell function to elicit an anti-cancer immune response. The resulting immune response can however have off-target effects which manifest as autoimmune type serious immune-related adve...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789157/ https://www.ncbi.nlm.nih.gov/pubmed/36564402 http://dx.doi.org/10.1038/s41525-022-00345-6 |
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author | Chin, Ik Shin Khan, Aman Olsson-Brown, Anna Papa, Sophie Middleton, Gary Palles, Claire |
author_facet | Chin, Ik Shin Khan, Aman Olsson-Brown, Anna Papa, Sophie Middleton, Gary Palles, Claire |
author_sort | Chin, Ik Shin |
collection | PubMed |
description | Immune checkpoint inhibitor (ICI) therapy has revolutionised the treatment of various cancer types. ICIs reinstate T-cell function to elicit an anti-cancer immune response. The resulting immune response can however have off-target effects which manifest as autoimmune type serious immune-related adverse events (irAE) in ~10–55% of patients treated. It is currently challenging to predict both who will experience irAEs and to what severity. Identification of patients at high risk of serious irAE would revolutionise patient care. While the pathogenesis driving irAE development is still unclear, host genetic factors are proposed to be key determinants of these events. This review presents current evidence supporting the role of the host genome in determining risk of irAE. We summarise the spectrum and timing of irAEs following treatment with ICIs and describe currently reported germline genetic variation associated with expression of immuno-modulatory factors within the cancer immunity cycle, development of autoimmune disease and irAE occurrence. We propose that germline genetic determinants of host immune function and autoimmune diseases could also explain risk of irAE development. We also endorse genome-wide association studies of patients being treated with ICIs to identify genetic variants that can be used in polygenic risk scores to predict risk of irAE. |
format | Online Article Text |
id | pubmed-9789157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97891572022-12-25 Germline genetic variation and predicting immune checkpoint inhibitor induced toxicity Chin, Ik Shin Khan, Aman Olsson-Brown, Anna Papa, Sophie Middleton, Gary Palles, Claire NPJ Genom Med Review Article Immune checkpoint inhibitor (ICI) therapy has revolutionised the treatment of various cancer types. ICIs reinstate T-cell function to elicit an anti-cancer immune response. The resulting immune response can however have off-target effects which manifest as autoimmune type serious immune-related adverse events (irAE) in ~10–55% of patients treated. It is currently challenging to predict both who will experience irAEs and to what severity. Identification of patients at high risk of serious irAE would revolutionise patient care. While the pathogenesis driving irAE development is still unclear, host genetic factors are proposed to be key determinants of these events. This review presents current evidence supporting the role of the host genome in determining risk of irAE. We summarise the spectrum and timing of irAEs following treatment with ICIs and describe currently reported germline genetic variation associated with expression of immuno-modulatory factors within the cancer immunity cycle, development of autoimmune disease and irAE occurrence. We propose that germline genetic determinants of host immune function and autoimmune diseases could also explain risk of irAE development. We also endorse genome-wide association studies of patients being treated with ICIs to identify genetic variants that can be used in polygenic risk scores to predict risk of irAE. Nature Publishing Group UK 2022-12-24 /pmc/articles/PMC9789157/ /pubmed/36564402 http://dx.doi.org/10.1038/s41525-022-00345-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Chin, Ik Shin Khan, Aman Olsson-Brown, Anna Papa, Sophie Middleton, Gary Palles, Claire Germline genetic variation and predicting immune checkpoint inhibitor induced toxicity |
title | Germline genetic variation and predicting immune checkpoint inhibitor induced toxicity |
title_full | Germline genetic variation and predicting immune checkpoint inhibitor induced toxicity |
title_fullStr | Germline genetic variation and predicting immune checkpoint inhibitor induced toxicity |
title_full_unstemmed | Germline genetic variation and predicting immune checkpoint inhibitor induced toxicity |
title_short | Germline genetic variation and predicting immune checkpoint inhibitor induced toxicity |
title_sort | germline genetic variation and predicting immune checkpoint inhibitor induced toxicity |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789157/ https://www.ncbi.nlm.nih.gov/pubmed/36564402 http://dx.doi.org/10.1038/s41525-022-00345-6 |
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