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Identification of genomic features associated with immunotherapy response in gastrointestinal cancers

Gastrointestinal (GI) cancers prevail and account for an extremely high number of cancer deaths worldwide. The traditional treatment strategies, including surgery, chemotherapy, radiotherapy, and targeted therapy, have a limited therapeutic effect for advanced GI cancers. Recently, immunotherapy has...

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Autores principales: He, Yin, Liu, Zhi-Xian, Jiang, Ze-Hang, Wang, Xiao-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475671/
https://www.ncbi.nlm.nih.gov/pubmed/31040893
http://dx.doi.org/10.4251/wjgo.v11.i4.270
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author He, Yin
Liu, Zhi-Xian
Jiang, Ze-Hang
Wang, Xiao-Sheng
author_facet He, Yin
Liu, Zhi-Xian
Jiang, Ze-Hang
Wang, Xiao-Sheng
author_sort He, Yin
collection PubMed
description Gastrointestinal (GI) cancers prevail and account for an extremely high number of cancer deaths worldwide. The traditional treatment strategies, including surgery, chemotherapy, radiotherapy, and targeted therapy, have a limited therapeutic effect for advanced GI cancers. Recently, immunotherapy has shown promise in treating various refractory malignancies, including the GI cancers with mismatch repair deficiency (dMMR) or microsatellite instability (MSI). Thus, immunotherapy could be a promising treatment approach for GI cancers. Unfortunately, only a small proportion of GI cancer patients currently respond to immunotherapy. Therefore, it is important to discover predictive biomarkers for stratifying GI cancer patients response to immunotherapy. Certain genomic features, such as dMMR/MSI, tumor mutation burden (TMB), and tumor aneuploidy have been associated with tumor immunity and im-munotherapy response and may serve as predictive biomarkers for cancer immunotherapy. In this review, we examined the correlations between tumor immunity and three genomic features: dMMR/MSI, TMB, and tumor aneuploidy. We also explored their correlations using The Cancer Genome Atlas data and confirmed that the dMMR/MSI status, high TMB, and low tumor aneuploidy are associated with elevated tumor immunity in GI cancers. To improve the immunotherapeutic potential in GI cancers, more genetic or genomic features associated with tumor immune response need to be identified. Furthermore, it is worth exploring the combination of different immunotherapeutic methods and the combination of immunotherapy with other therapeutic approaches for cancer therapy.
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spelling pubmed-64756712019-04-30 Identification of genomic features associated with immunotherapy response in gastrointestinal cancers He, Yin Liu, Zhi-Xian Jiang, Ze-Hang Wang, Xiao-Sheng World J Gastrointest Oncol Review Gastrointestinal (GI) cancers prevail and account for an extremely high number of cancer deaths worldwide. The traditional treatment strategies, including surgery, chemotherapy, radiotherapy, and targeted therapy, have a limited therapeutic effect for advanced GI cancers. Recently, immunotherapy has shown promise in treating various refractory malignancies, including the GI cancers with mismatch repair deficiency (dMMR) or microsatellite instability (MSI). Thus, immunotherapy could be a promising treatment approach for GI cancers. Unfortunately, only a small proportion of GI cancer patients currently respond to immunotherapy. Therefore, it is important to discover predictive biomarkers for stratifying GI cancer patients response to immunotherapy. Certain genomic features, such as dMMR/MSI, tumor mutation burden (TMB), and tumor aneuploidy have been associated with tumor immunity and im-munotherapy response and may serve as predictive biomarkers for cancer immunotherapy. In this review, we examined the correlations between tumor immunity and three genomic features: dMMR/MSI, TMB, and tumor aneuploidy. We also explored their correlations using The Cancer Genome Atlas data and confirmed that the dMMR/MSI status, high TMB, and low tumor aneuploidy are associated with elevated tumor immunity in GI cancers. To improve the immunotherapeutic potential in GI cancers, more genetic or genomic features associated with tumor immune response need to be identified. Furthermore, it is worth exploring the combination of different immunotherapeutic methods and the combination of immunotherapy with other therapeutic approaches for cancer therapy. Baishideng Publishing Group Inc 2019-04-15 2019-04-15 /pmc/articles/PMC6475671/ /pubmed/31040893 http://dx.doi.org/10.4251/wjgo.v11.i4.270 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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.
spellingShingle Review
He, Yin
Liu, Zhi-Xian
Jiang, Ze-Hang
Wang, Xiao-Sheng
Identification of genomic features associated with immunotherapy response in gastrointestinal cancers
title Identification of genomic features associated with immunotherapy response in gastrointestinal cancers
title_full Identification of genomic features associated with immunotherapy response in gastrointestinal cancers
title_fullStr Identification of genomic features associated with immunotherapy response in gastrointestinal cancers
title_full_unstemmed Identification of genomic features associated with immunotherapy response in gastrointestinal cancers
title_short Identification of genomic features associated with immunotherapy response in gastrointestinal cancers
title_sort identification of genomic features associated with immunotherapy response in gastrointestinal cancers
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475671/
https://www.ncbi.nlm.nih.gov/pubmed/31040893
http://dx.doi.org/10.4251/wjgo.v11.i4.270
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