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Cancer Immunotherapies: From Efficacy to Resistance Mechanisms – Not Only Checkpoint Matters

The immunotherapeutic treatment of various cancers with an increasing number of immune checkpoint inhibitors (ICIs) has profoundly improved the clinical management of advanced diseases. However, just a fraction of patients clinically responds to and benefits from the mentioned therapies; a large pro...

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Autores principales: Wang, Shuyue, Xie, Kun, Liu, Tengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335396/
https://www.ncbi.nlm.nih.gov/pubmed/34367148
http://dx.doi.org/10.3389/fimmu.2021.690112
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author Wang, Shuyue
Xie, Kun
Liu, Tengfei
author_facet Wang, Shuyue
Xie, Kun
Liu, Tengfei
author_sort Wang, Shuyue
collection PubMed
description The immunotherapeutic treatment of various cancers with an increasing number of immune checkpoint inhibitors (ICIs) has profoundly improved the clinical management of advanced diseases. However, just a fraction of patients clinically responds to and benefits from the mentioned therapies; a large proportion of patients do not respond or quickly become resistant, and hyper- and pseudoprogression occur in certain patient populations. Furthermore, no effective predictive factors have been clearly screened or defined. In this review, we discuss factors underlying the elucidation of potential immunotherapeutic resistance mechanisms and the identification of predictive factors for immunotherapeutic responses. Considering the heterogeneity of tumours and the complex immune microenvironment (composition of various immune cell subtypes, disease processes, and lines of treatment), checkpoint expression levels may not be the only factors underlying immunotherapy difficulty and resistance. Researchers should consider the tumour microenvironment (TME) landscape in greater depth from the aspect of not only immune cells but also the tumour histology, molecular subtype, clonal heterogeneity and evolution as well as micro-changes in the fine structural features of the tumour area, such as myeloid cell polarization, fibroblast clusters and tertiary lymphoid structure formation. A comprehensive analysis of the immune and molecular profiles of tumour lesions is needed to determine the potential predictive value of the immune landscape on immunotherapeutic responses, and precision medicine has become more important.
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spelling pubmed-83353962021-08-05 Cancer Immunotherapies: From Efficacy to Resistance Mechanisms – Not Only Checkpoint Matters Wang, Shuyue Xie, Kun Liu, Tengfei Front Immunol Immunology The immunotherapeutic treatment of various cancers with an increasing number of immune checkpoint inhibitors (ICIs) has profoundly improved the clinical management of advanced diseases. However, just a fraction of patients clinically responds to and benefits from the mentioned therapies; a large proportion of patients do not respond or quickly become resistant, and hyper- and pseudoprogression occur in certain patient populations. Furthermore, no effective predictive factors have been clearly screened or defined. In this review, we discuss factors underlying the elucidation of potential immunotherapeutic resistance mechanisms and the identification of predictive factors for immunotherapeutic responses. Considering the heterogeneity of tumours and the complex immune microenvironment (composition of various immune cell subtypes, disease processes, and lines of treatment), checkpoint expression levels may not be the only factors underlying immunotherapy difficulty and resistance. Researchers should consider the tumour microenvironment (TME) landscape in greater depth from the aspect of not only immune cells but also the tumour histology, molecular subtype, clonal heterogeneity and evolution as well as micro-changes in the fine structural features of the tumour area, such as myeloid cell polarization, fibroblast clusters and tertiary lymphoid structure formation. A comprehensive analysis of the immune and molecular profiles of tumour lesions is needed to determine the potential predictive value of the immune landscape on immunotherapeutic responses, and precision medicine has become more important. Frontiers Media S.A. 2021-07-21 /pmc/articles/PMC8335396/ /pubmed/34367148 http://dx.doi.org/10.3389/fimmu.2021.690112 Text en Copyright © 2021 Wang, Xie and Liu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Wang, Shuyue
Xie, Kun
Liu, Tengfei
Cancer Immunotherapies: From Efficacy to Resistance Mechanisms – Not Only Checkpoint Matters
title Cancer Immunotherapies: From Efficacy to Resistance Mechanisms – Not Only Checkpoint Matters
title_full Cancer Immunotherapies: From Efficacy to Resistance Mechanisms – Not Only Checkpoint Matters
title_fullStr Cancer Immunotherapies: From Efficacy to Resistance Mechanisms – Not Only Checkpoint Matters
title_full_unstemmed Cancer Immunotherapies: From Efficacy to Resistance Mechanisms – Not Only Checkpoint Matters
title_short Cancer Immunotherapies: From Efficacy to Resistance Mechanisms – Not Only Checkpoint Matters
title_sort cancer immunotherapies: from efficacy to resistance mechanisms – not only checkpoint matters
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335396/
https://www.ncbi.nlm.nih.gov/pubmed/34367148
http://dx.doi.org/10.3389/fimmu.2021.690112
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