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Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade

Over the past decade, immune checkpoint blockade (ICB) therapy has revolutionized the outlook for oncology with significant and sustained improvement in the overall patient survival. Unlike traditional cancer therapies, which target the cancer cells directly, ICB acts on the immune system to enhance...

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Autores principales: Lei, Yanna, Li, Xiaoying, Huang, Qian, Zheng, Xiufeng, Liu, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992906/
https://www.ncbi.nlm.nih.gov/pubmed/33777757
http://dx.doi.org/10.3389/fonc.2021.617335
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author Lei, Yanna
Li, Xiaoying
Huang, Qian
Zheng, Xiufeng
Liu, Ming
author_facet Lei, Yanna
Li, Xiaoying
Huang, Qian
Zheng, Xiufeng
Liu, Ming
author_sort Lei, Yanna
collection PubMed
description Over the past decade, immune checkpoint blockade (ICB) therapy has revolutionized the outlook for oncology with significant and sustained improvement in the overall patient survival. Unlike traditional cancer therapies, which target the cancer cells directly, ICB acts on the immune system to enhance anti-tumoral immunity. However, the response rate is still far from satisfactory and most patients are refractory to such treatment. Unfortunately, the mechanisms underlying such heterogeneous responses between patients to ICB therapy remain unclear. In addition, escalating costs of cancer care and unnecessary immune-related adverse events also are pertinent considerations with applications of ICB. Given these issues, identifying explicit predictive biomarkers for patient selection is an urgent unmet need to increase the efficacy of ICB therapy. The markers can be classified as tumor related and non-tumor-related biomarkers. Although substantial efforts have been put into investigating various biomarkers, none of them has been found to be sufficient for effectively stratifying patients who may benefit from immunotherapy. The present write up is an attempt to review the various emerging clinically relevant biomarkers affecting the efficacy of immune checkpoint inhibitors, as well as the limitations associated with their clinical application.
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spelling pubmed-79929062021-03-26 Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade Lei, Yanna Li, Xiaoying Huang, Qian Zheng, Xiufeng Liu, Ming Front Oncol Oncology Over the past decade, immune checkpoint blockade (ICB) therapy has revolutionized the outlook for oncology with significant and sustained improvement in the overall patient survival. Unlike traditional cancer therapies, which target the cancer cells directly, ICB acts on the immune system to enhance anti-tumoral immunity. However, the response rate is still far from satisfactory and most patients are refractory to such treatment. Unfortunately, the mechanisms underlying such heterogeneous responses between patients to ICB therapy remain unclear. In addition, escalating costs of cancer care and unnecessary immune-related adverse events also are pertinent considerations with applications of ICB. Given these issues, identifying explicit predictive biomarkers for patient selection is an urgent unmet need to increase the efficacy of ICB therapy. The markers can be classified as tumor related and non-tumor-related biomarkers. Although substantial efforts have been put into investigating various biomarkers, none of them has been found to be sufficient for effectively stratifying patients who may benefit from immunotherapy. The present write up is an attempt to review the various emerging clinically relevant biomarkers affecting the efficacy of immune checkpoint inhibitors, as well as the limitations associated with their clinical application. Frontiers Media S.A. 2021-03-11 /pmc/articles/PMC7992906/ /pubmed/33777757 http://dx.doi.org/10.3389/fonc.2021.617335 Text en Copyright © 2021 Lei, Li, Huang, Zheng and Liu. http://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 Oncology
Lei, Yanna
Li, Xiaoying
Huang, Qian
Zheng, Xiufeng
Liu, Ming
Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade
title Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade
title_full Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade
title_fullStr Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade
title_full_unstemmed Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade
title_short Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade
title_sort progress and challenges of predictive biomarkers for immune checkpoint blockade
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992906/
https://www.ncbi.nlm.nih.gov/pubmed/33777757
http://dx.doi.org/10.3389/fonc.2021.617335
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