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RNA m(5)C regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer

The effect of immunotherapy strategy has been affirmed in the treatment of various tumors. Nevertheless, the latent role of RNA 5-methylcytosine (m(5)C) modification in gastric cancer (GC) tumor microenvironment (TME) cell infiltration is still unclear. We systematically explore the m(5)C modificati...

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Autores principales: Zhang, Qiang, Sun, Xiangfei, Sun, Jianyi, Lu, Jiangshen, Gao, Xiaodong, Shen, Kuntang, Qin, Xinyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646743/
https://www.ncbi.nlm.nih.gov/pubmed/36389669
http://dx.doi.org/10.3389/fimmu.2022.905057
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author Zhang, Qiang
Sun, Xiangfei
Sun, Jianyi
Lu, Jiangshen
Gao, Xiaodong
Shen, Kuntang
Qin, Xinyu
author_facet Zhang, Qiang
Sun, Xiangfei
Sun, Jianyi
Lu, Jiangshen
Gao, Xiaodong
Shen, Kuntang
Qin, Xinyu
author_sort Zhang, Qiang
collection PubMed
description The effect of immunotherapy strategy has been affirmed in the treatment of various tumors. Nevertheless, the latent role of RNA 5-methylcytosine (m(5)C) modification in gastric cancer (GC) tumor microenvironment (TME) cell infiltration is still unclear. We systematically explore the m(5)C modification patterns of 2,122 GC patients from GEO and TCGA databases by 16 m(5)C regulators and related these patterns to TME characteristics. LASSO Cox regression was employed to construct the m(5)Cscore based on the expression of regulators and DEGs, which was used to evaluate the prognosis. All the GC patients were divided into three m(5)C modification clusters with distinct gene expression characteristics and TME patterns. GSVA, ssGSEA, and TME cell infiltration analysis showed that m(5)C clusters A, B, and C were classified as immune-desert, immune-inflamed, and immune-excluded phenotype, respectively. The m(5)Cscore system based on the expression of eight genes could effectively predict the prognosis of individual GC patients, with AUC 0.766. Patients with a lower m(5)Cscore were characterized by the activation of immunity and experienced significantly longer PFS and OS. Our study demonstrated the non-negligible role of m(5)C modification in the development of TME complexity and inhomogeneity. Assessing the m(5)C modification pattern for individual GC patients will help recognize the infiltration characterization and guide more effective immunotherapy treatment.
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spelling pubmed-96467432022-11-15 RNA m(5)C regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer Zhang, Qiang Sun, Xiangfei Sun, Jianyi Lu, Jiangshen Gao, Xiaodong Shen, Kuntang Qin, Xinyu Front Immunol Immunology The effect of immunotherapy strategy has been affirmed in the treatment of various tumors. Nevertheless, the latent role of RNA 5-methylcytosine (m(5)C) modification in gastric cancer (GC) tumor microenvironment (TME) cell infiltration is still unclear. We systematically explore the m(5)C modification patterns of 2,122 GC patients from GEO and TCGA databases by 16 m(5)C regulators and related these patterns to TME characteristics. LASSO Cox regression was employed to construct the m(5)Cscore based on the expression of regulators and DEGs, which was used to evaluate the prognosis. All the GC patients were divided into three m(5)C modification clusters with distinct gene expression characteristics and TME patterns. GSVA, ssGSEA, and TME cell infiltration analysis showed that m(5)C clusters A, B, and C were classified as immune-desert, immune-inflamed, and immune-excluded phenotype, respectively. The m(5)Cscore system based on the expression of eight genes could effectively predict the prognosis of individual GC patients, with AUC 0.766. Patients with a lower m(5)Cscore were characterized by the activation of immunity and experienced significantly longer PFS and OS. Our study demonstrated the non-negligible role of m(5)C modification in the development of TME complexity and inhomogeneity. Assessing the m(5)C modification pattern for individual GC patients will help recognize the infiltration characterization and guide more effective immunotherapy treatment. Frontiers Media S.A. 2022-10-27 /pmc/articles/PMC9646743/ /pubmed/36389669 http://dx.doi.org/10.3389/fimmu.2022.905057 Text en Copyright © 2022 Zhang, Sun, Sun, Lu, Gao, Shen and Qin 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
Zhang, Qiang
Sun, Xiangfei
Sun, Jianyi
Lu, Jiangshen
Gao, Xiaodong
Shen, Kuntang
Qin, Xinyu
RNA m(5)C regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer
title RNA m(5)C regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer
title_full RNA m(5)C regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer
title_fullStr RNA m(5)C regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer
title_full_unstemmed RNA m(5)C regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer
title_short RNA m(5)C regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer
title_sort rna m(5)c regulator-mediated modification patterns and the cross-talk between tumor microenvironment infiltration in gastric cancer
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646743/
https://www.ncbi.nlm.nih.gov/pubmed/36389669
http://dx.doi.org/10.3389/fimmu.2022.905057
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