Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Fu, Jie, Jin, Xiaoxin, Chen, Weidong, Chen, Zongyao, Wu, Peidong, Xiao, Wang, Liu, Yuhang, Deng, Shuangya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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
_version_ 1784890900343685120
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
work_keys_str_mv AT fujie identificationofthemolecularcharacteristicsassociatedwithmicrosatellitestatusofcolorectalcancerpatientsfortheclinicalapplicationofimmunotherapy
AT jinxiaoxin identificationofthemolecularcharacteristicsassociatedwithmicrosatellitestatusofcolorectalcancerpatientsfortheclinicalapplicationofimmunotherapy
AT chenweidong identificationofthemolecularcharacteristicsassociatedwithmicrosatellitestatusofcolorectalcancerpatientsfortheclinicalapplicationofimmunotherapy
AT chenzongyao identificationofthemolecularcharacteristicsassociatedwithmicrosatellitestatusofcolorectalcancerpatientsfortheclinicalapplicationofimmunotherapy
AT wupeidong identificationofthemolecularcharacteristicsassociatedwithmicrosatellitestatusofcolorectalcancerpatientsfortheclinicalapplicationofimmunotherapy
AT xiaowang identificationofthemolecularcharacteristicsassociatedwithmicrosatellitestatusofcolorectalcancerpatientsfortheclinicalapplicationofimmunotherapy
AT liuyuhang identificationofthemolecularcharacteristicsassociatedwithmicrosatellitestatusofcolorectalcancerpatientsfortheclinicalapplicationofimmunotherapy
AT dengshuangya identificationofthemolecularcharacteristicsassociatedwithmicrosatellitestatusofcolorectalcancerpatientsfortheclinicalapplicationofimmunotherapy