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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...

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Detalles Bibliográficos
Autores principales: Wang, Chengji, Wang, He-nan, Wang, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2022
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.
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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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