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Biomarkers for predicting the efficacy of immune checkpoint inhibitors
Immune checkpoint blockade has vastly changed the landscape of cancer treatment and showed a promising prognosis for cancer patients. However, there is still a large portion of patients who have no response to this therapy. Therefore, it's essential to investigate biomarkers to predict the effi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771507/ https://www.ncbi.nlm.nih.gov/pubmed/35069896 http://dx.doi.org/10.7150/jca.65012 |
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author | Wang, Chengji Wang, He-nan Wang, Liang |
author_facet | Wang, Chengji Wang, He-nan Wang, Liang |
author_sort | Wang, Chengji |
collection | PubMed |
description | Immune checkpoint blockade has vastly changed the landscape of cancer treatment and showed a promising prognosis for cancer patients. However, there is still a large portion of patients who have no response to this therapy. Therefore, it's essential to investigate biomarkers to predict the efficacy of immune checkpoint inhibitors. This article summarizes the predictive value of established biomarkers, including programmed cell death ligand 1(PD-L1) expression level, tumor mutational burden, tumor-infiltrating lymphocytes, and mismatch repair deficiency. It also addresses the predictive value of tumorous mutations, circulation factors, immune-related factors, and gut microbiome with immunotherapy treatment. Furthermore, some of the emerging novel biomarkers, and potential markers for hyper progressive disease are discussed, which should be validated in clinical trials in the future. |
format | Online Article Text |
id | pubmed-8771507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-87715072022-01-20 Biomarkers for predicting the efficacy of immune checkpoint inhibitors Wang, Chengji Wang, He-nan Wang, Liang J Cancer Review Immune checkpoint blockade has vastly changed the landscape of cancer treatment and showed a promising prognosis for cancer patients. However, there is still a large portion of patients who have no response to this therapy. Therefore, it's essential to investigate biomarkers to predict the efficacy of immune checkpoint inhibitors. This article summarizes the predictive value of established biomarkers, including programmed cell death ligand 1(PD-L1) expression level, tumor mutational burden, tumor-infiltrating lymphocytes, and mismatch repair deficiency. It also addresses the predictive value of tumorous mutations, circulation factors, immune-related factors, and gut microbiome with immunotherapy treatment. Furthermore, some of the emerging novel biomarkers, and potential markers for hyper progressive disease are discussed, which should be validated in clinical trials in the future. Ivyspring International Publisher 2022-01-01 /pmc/articles/PMC8771507/ /pubmed/35069896 http://dx.doi.org/10.7150/jca.65012 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Review Wang, Chengji Wang, He-nan Wang, Liang Biomarkers for predicting the efficacy of immune checkpoint inhibitors |
title | Biomarkers for predicting the efficacy of immune checkpoint inhibitors |
title_full | Biomarkers for predicting the efficacy of immune checkpoint inhibitors |
title_fullStr | Biomarkers for predicting the efficacy of immune checkpoint inhibitors |
title_full_unstemmed | Biomarkers for predicting the efficacy of immune checkpoint inhibitors |
title_short | Biomarkers for predicting the efficacy of immune checkpoint inhibitors |
title_sort | biomarkers for predicting the efficacy of immune checkpoint inhibitors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771507/ https://www.ncbi.nlm.nih.gov/pubmed/35069896 http://dx.doi.org/10.7150/jca.65012 |
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