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Identification of the molecular characteristics associated with microsatellite status of colorectal cancer patients for the clinical application of immunotherapy
Background: Mismatch repair-proficient (pMMR) microsatellite stability (MSS) in colorectal cancer (CRC) indicates an unfavorable therapeutic response to immunotherapy with immune checkpoint inhibitors (ICIs). However, the molecular characteristics of CRC patients with pMMR MSS remain largely unknown...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939640/ https://www.ncbi.nlm.nih.gov/pubmed/36814498 http://dx.doi.org/10.3389/fphar.2023.1083449 |
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author | Fu, Jie Jin, Xiaoxin Chen, Weidong Chen, Zongyao Wu, Peidong Xiao, Wang Liu, Yuhang Deng, Shuangya |
author_facet | Fu, Jie Jin, Xiaoxin Chen, Weidong Chen, Zongyao Wu, Peidong Xiao, Wang Liu, Yuhang Deng, Shuangya |
author_sort | Fu, Jie |
collection | PubMed |
description | Background: Mismatch repair-proficient (pMMR) microsatellite stability (MSS) in colorectal cancer (CRC) indicates an unfavorable therapeutic response to immunotherapy with immune checkpoint inhibitors (ICIs). However, the molecular characteristics of CRC patients with pMMR MSS remain largely unknown. Methods: Heterogeneities between mismatch repair-deficient (dMMR) microsatellite instability (MSI) and pMMR MSS CRC patients were investigated at the single-cell level. Next, an MSS-related risk score was constructed by single-sample gene set enrichment analysis (ssGSEA). The differences in immune and functional characteristics between the high- and low-score groups were systematically analyzed. Results: Based on the single-cell RNA (scRNA) atlas, an MSS-specific cancer cell subpopulation was identified. By taking the intersection of the significant differentially expressed genes (DEGs) between different cancer cell subtypes of the single-cell training and validation cohorts, 29 MSS-specific cancer cell marker genes were screened out for the construction of the MSS-related risk score. This risk score signature could efficiently separate pMMR MSS CRC patients into two subtypes with significantly different immune characteristics. The interactions among the different cell types were stronger in the MSS group than in the MSI group, especially for the outgoing signals of the cancer cells. In addition, functional differences between the high- and low-score groups were preliminarily investigated. Conclusion: In this study, we constructed an effective risk model to classify pMMR MSS CRC patients into two completely different groups based on the specific genes identified by single-cell analysis to identify potential CRC patients sensitive to immunotherapy and screen effective synergistic targets. |
format | Online Article Text |
id | pubmed-9939640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99396402023-02-21 Identification of the molecular characteristics associated with microsatellite status of colorectal cancer patients for the clinical application of immunotherapy Fu, Jie Jin, Xiaoxin Chen, Weidong Chen, Zongyao Wu, Peidong Xiao, Wang Liu, Yuhang Deng, Shuangya Front Pharmacol Pharmacology Background: Mismatch repair-proficient (pMMR) microsatellite stability (MSS) in colorectal cancer (CRC) indicates an unfavorable therapeutic response to immunotherapy with immune checkpoint inhibitors (ICIs). However, the molecular characteristics of CRC patients with pMMR MSS remain largely unknown. Methods: Heterogeneities between mismatch repair-deficient (dMMR) microsatellite instability (MSI) and pMMR MSS CRC patients were investigated at the single-cell level. Next, an MSS-related risk score was constructed by single-sample gene set enrichment analysis (ssGSEA). The differences in immune and functional characteristics between the high- and low-score groups were systematically analyzed. Results: Based on the single-cell RNA (scRNA) atlas, an MSS-specific cancer cell subpopulation was identified. By taking the intersection of the significant differentially expressed genes (DEGs) between different cancer cell subtypes of the single-cell training and validation cohorts, 29 MSS-specific cancer cell marker genes were screened out for the construction of the MSS-related risk score. This risk score signature could efficiently separate pMMR MSS CRC patients into two subtypes with significantly different immune characteristics. The interactions among the different cell types were stronger in the MSS group than in the MSI group, especially for the outgoing signals of the cancer cells. In addition, functional differences between the high- and low-score groups were preliminarily investigated. Conclusion: In this study, we constructed an effective risk model to classify pMMR MSS CRC patients into two completely different groups based on the specific genes identified by single-cell analysis to identify potential CRC patients sensitive to immunotherapy and screen effective synergistic targets. Frontiers Media S.A. 2023-02-06 /pmc/articles/PMC9939640/ /pubmed/36814498 http://dx.doi.org/10.3389/fphar.2023.1083449 Text en Copyright © 2023 Fu, Jin, Chen, Chen, Wu, Xiao, Liu and Deng. 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 | Pharmacology Fu, Jie Jin, Xiaoxin Chen, Weidong Chen, Zongyao Wu, Peidong Xiao, Wang Liu, Yuhang Deng, Shuangya Identification of the molecular characteristics associated with microsatellite status of colorectal cancer patients for the clinical application of immunotherapy |
title | Identification of the molecular characteristics associated with microsatellite status of colorectal cancer patients for the clinical application of immunotherapy |
title_full | Identification of the molecular characteristics associated with microsatellite status of colorectal cancer patients for the clinical application of immunotherapy |
title_fullStr | Identification of the molecular characteristics associated with microsatellite status of colorectal cancer patients for the clinical application of immunotherapy |
title_full_unstemmed | Identification of the molecular characteristics associated with microsatellite status of colorectal cancer patients for the clinical application of immunotherapy |
title_short | Identification of the molecular characteristics associated with microsatellite status of colorectal cancer patients for the clinical application of immunotherapy |
title_sort | identification of the molecular characteristics associated with microsatellite status of colorectal cancer patients for the clinical application of immunotherapy |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939640/ https://www.ncbi.nlm.nih.gov/pubmed/36814498 http://dx.doi.org/10.3389/fphar.2023.1083449 |
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