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Predictive biomarkers of colon cancer immunotherapy: Present and future

Immunotherapy has revolutionized colon cancer treatment. Immune checkpoint inhibitors (ICIs) have shown clinical benefits for colon cancer patients, especially those with high microsatellite instability (MSI-H). In 2020, the US Food and Drug Administration (FDA)-approved ICI pembrolizumab as the fir...

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Autores principales: Hou, Wanting, Yi, Cheng, Zhu, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722772/
https://www.ncbi.nlm.nih.gov/pubmed/36483562
http://dx.doi.org/10.3389/fimmu.2022.1032314
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author Hou, Wanting
Yi, Cheng
Zhu, Hong
author_facet Hou, Wanting
Yi, Cheng
Zhu, Hong
author_sort Hou, Wanting
collection PubMed
description Immunotherapy has revolutionized colon cancer treatment. Immune checkpoint inhibitors (ICIs) have shown clinical benefits for colon cancer patients, especially those with high microsatellite instability (MSI-H). In 2020, the US Food and Drug Administration (FDA)-approved ICI pembrolizumab as the first-line treatment for metastatic MSI-H colon cancer patients. Additionally, neoadjuvant immunotherapy has presented efficacy in treating early-stage colon cancer patients. Although MSI has been thought of as an effective predictive biomarker for colon cancer immunotherapy, only a small proportion of colon cancer patients were MSI-H, and certain colon cancer patients with MSI-H presented intrinsic or acquired resistance to immunotherapy. Thus, further search for predictive biomarkers to stratify patients is meaningful in colon cancer immunotherapy. Except for MSI, other biomarkers, such as PD-L1 expression level, tumor mutation burden (TMB), tumor-infiltrating lymphocytes (TILs), certain gut microbiota, ctDNA, and circulating immune cells were also proposed to be correlated with patient survival and ICI efficacy in some colon cancer clinical studies. Moreover, developing new diagnostic techniques helps identify accurate predictive biomarkers for colon cancer immunotherapy. In this review, we outline the reported predictive biomarkers in colon cancer immunotherapy and further discuss the prospects of technological changes for biomarker development in colon cancer immunotherapy.
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spelling pubmed-97227722022-12-07 Predictive biomarkers of colon cancer immunotherapy: Present and future Hou, Wanting Yi, Cheng Zhu, Hong Front Immunol Immunology Immunotherapy has revolutionized colon cancer treatment. Immune checkpoint inhibitors (ICIs) have shown clinical benefits for colon cancer patients, especially those with high microsatellite instability (MSI-H). In 2020, the US Food and Drug Administration (FDA)-approved ICI pembrolizumab as the first-line treatment for metastatic MSI-H colon cancer patients. Additionally, neoadjuvant immunotherapy has presented efficacy in treating early-stage colon cancer patients. Although MSI has been thought of as an effective predictive biomarker for colon cancer immunotherapy, only a small proportion of colon cancer patients were MSI-H, and certain colon cancer patients with MSI-H presented intrinsic or acquired resistance to immunotherapy. Thus, further search for predictive biomarkers to stratify patients is meaningful in colon cancer immunotherapy. Except for MSI, other biomarkers, such as PD-L1 expression level, tumor mutation burden (TMB), tumor-infiltrating lymphocytes (TILs), certain gut microbiota, ctDNA, and circulating immune cells were also proposed to be correlated with patient survival and ICI efficacy in some colon cancer clinical studies. Moreover, developing new diagnostic techniques helps identify accurate predictive biomarkers for colon cancer immunotherapy. In this review, we outline the reported predictive biomarkers in colon cancer immunotherapy and further discuss the prospects of technological changes for biomarker development in colon cancer immunotherapy. Frontiers Media S.A. 2022-11-22 /pmc/articles/PMC9722772/ /pubmed/36483562 http://dx.doi.org/10.3389/fimmu.2022.1032314 Text en Copyright © 2022 Hou, Yi and Zhu 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
Hou, Wanting
Yi, Cheng
Zhu, Hong
Predictive biomarkers of colon cancer immunotherapy: Present and future
title Predictive biomarkers of colon cancer immunotherapy: Present and future
title_full Predictive biomarkers of colon cancer immunotherapy: Present and future
title_fullStr Predictive biomarkers of colon cancer immunotherapy: Present and future
title_full_unstemmed Predictive biomarkers of colon cancer immunotherapy: Present and future
title_short Predictive biomarkers of colon cancer immunotherapy: Present and future
title_sort predictive biomarkers of colon cancer immunotherapy: present and future
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722772/
https://www.ncbi.nlm.nih.gov/pubmed/36483562
http://dx.doi.org/10.3389/fimmu.2022.1032314
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