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Biomarkers for response to immune checkpoint inhibitors in gastrointestinal cancers

Gastrointestinal (GI) cancers account for a large proportion of cancer deaths worldwide and pose a major public health challenge. Immunotherapy is considered to be one of the prominent and successful approaches in cancer treatment in recent years. Among them, immune checkpoint inhibitor (ICI) therap...

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Autores principales: Li, Meng, Kaili, Denis, Shi, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790411/
https://www.ncbi.nlm.nih.gov/pubmed/35116101
http://dx.doi.org/10.4251/wjgo.v14.i1.19
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author Li, Meng
Kaili, Denis
Shi, Lei
author_facet Li, Meng
Kaili, Denis
Shi, Lei
author_sort Li, Meng
collection PubMed
description Gastrointestinal (GI) cancers account for a large proportion of cancer deaths worldwide and pose a major public health challenge. Immunotherapy is considered to be one of the prominent and successful approaches in cancer treatment in recent years. Among them, immune checkpoint inhibitor (ICI) therapy, has received widespread attention, and many clinical findings support the feasibility of ICIs, with sustained responses and significantly prolonged lifespan observed in a wide range of tumors. However, patients treated with ICIs have not fully benefited, and therefore, the identification and development of biomarkers for predicting ICI treatment response have received further attention and exploration. From tumor genome to molecular interactions in the tumor microenvironment, and further expanding to circulating biomarkers and patient characteristics, the exploration of biomarkers is evolving with high-throughput sequencing as well as bioinformatics. More large-scale prospective and specific studies are needed to explore biomarkers in GI cancers. In this review, we summarize the known biomarkers used in ICI therapy for GI tumors. In addition, some ICI biomarkers applied to other tumors are included to provide insights and further validation for GI tumors. Moreover, we present single-cell analysis and machine learning approaches that have emerged in recent years. Although there are no clear applications yet, it can be expected that these techniques will play an important role in the application of biomarker prediction.
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spelling pubmed-87904112022-02-02 Biomarkers for response to immune checkpoint inhibitors in gastrointestinal cancers Li, Meng Kaili, Denis Shi, Lei World J Gastrointest Oncol Review Gastrointestinal (GI) cancers account for a large proportion of cancer deaths worldwide and pose a major public health challenge. Immunotherapy is considered to be one of the prominent and successful approaches in cancer treatment in recent years. Among them, immune checkpoint inhibitor (ICI) therapy, has received widespread attention, and many clinical findings support the feasibility of ICIs, with sustained responses and significantly prolonged lifespan observed in a wide range of tumors. However, patients treated with ICIs have not fully benefited, and therefore, the identification and development of biomarkers for predicting ICI treatment response have received further attention and exploration. From tumor genome to molecular interactions in the tumor microenvironment, and further expanding to circulating biomarkers and patient characteristics, the exploration of biomarkers is evolving with high-throughput sequencing as well as bioinformatics. More large-scale prospective and specific studies are needed to explore biomarkers in GI cancers. In this review, we summarize the known biomarkers used in ICI therapy for GI tumors. In addition, some ICI biomarkers applied to other tumors are included to provide insights and further validation for GI tumors. Moreover, we present single-cell analysis and machine learning approaches that have emerged in recent years. Although there are no clear applications yet, it can be expected that these techniques will play an important role in the application of biomarker prediction. Baishideng Publishing Group Inc 2022-01-15 2022-01-15 /pmc/articles/PMC8790411/ /pubmed/35116101 http://dx.doi.org/10.4251/wjgo.v14.i1.19 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
spellingShingle Review
Li, Meng
Kaili, Denis
Shi, Lei
Biomarkers for response to immune checkpoint inhibitors in gastrointestinal cancers
title Biomarkers for response to immune checkpoint inhibitors in gastrointestinal cancers
title_full Biomarkers for response to immune checkpoint inhibitors in gastrointestinal cancers
title_fullStr Biomarkers for response to immune checkpoint inhibitors in gastrointestinal cancers
title_full_unstemmed Biomarkers for response to immune checkpoint inhibitors in gastrointestinal cancers
title_short Biomarkers for response to immune checkpoint inhibitors in gastrointestinal cancers
title_sort biomarkers for response to immune checkpoint inhibitors in gastrointestinal cancers
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790411/
https://www.ncbi.nlm.nih.gov/pubmed/35116101
http://dx.doi.org/10.4251/wjgo.v14.i1.19
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