Cargando…
Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma
The m7G modification has been proven to play an important role in RNA post-transcriptional modification and protein translation. However, the potential role of m7G modification patterns in assessing the prognosis of Skin cutaneous melanoma (SKCM) and tumor microenvironment (TME) has not been well st...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751814/ https://www.ncbi.nlm.nih.gov/pubmed/36532001 http://dx.doi.org/10.3389/fimmu.2022.1034516 |
_version_ | 1784850565231017984 |
---|---|
author | Zhang, Xin Miao, Ying Sun, Hao-Wen Wang, Yi-Xiao Zhao, Wen-Min Pang, A-Ying Wu, Xiao-Yan Shen, Cong-Cong Chen, Xiao-Dong |
author_facet | Zhang, Xin Miao, Ying Sun, Hao-Wen Wang, Yi-Xiao Zhao, Wen-Min Pang, A-Ying Wu, Xiao-Yan Shen, Cong-Cong Chen, Xiao-Dong |
author_sort | Zhang, Xin |
collection | PubMed |
description | The m7G modification has been proven to play an important role in RNA post-transcriptional modification and protein translation. However, the potential role of m7G modification patterns in assessing the prognosis of Skin cutaneous melanoma (SKCM) and tumor microenvironment (TME) has not been well studied. In this study, we investigated and finally identified 21 available m7G-related genes. We used hierarchical clustering (K-means) to classify 743 SKCM patients into three m7G-modified subtypes named m7G/gene cluster-A, B, C. We found that both m7G cluster B and gene cluster B exhibited higher prognosis and higher immune cell infiltration in TME compared to other subtypes. EIF4E3 and IFIT5, two m7G related genes, were both markedly elevated in Cluster B. Then, we constructed an m7G score system utilizing principal component analysis (PCA) in order to evaluate the patients' prognosis. High m7G score subtype was associated with better survival prognosis and active immune response. Overall, this article revealed that m7G modification patterns were involved in the development of the tumor microenvironment. Evaluating patients' m7G modification patterns will enhance our understanding of TME characteristics and help to guide personal treatment in clinics in the future. |
format | Online Article Text |
id | pubmed-9751814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97518142022-12-16 Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma Zhang, Xin Miao, Ying Sun, Hao-Wen Wang, Yi-Xiao Zhao, Wen-Min Pang, A-Ying Wu, Xiao-Yan Shen, Cong-Cong Chen, Xiao-Dong Front Immunol Immunology The m7G modification has been proven to play an important role in RNA post-transcriptional modification and protein translation. However, the potential role of m7G modification patterns in assessing the prognosis of Skin cutaneous melanoma (SKCM) and tumor microenvironment (TME) has not been well studied. In this study, we investigated and finally identified 21 available m7G-related genes. We used hierarchical clustering (K-means) to classify 743 SKCM patients into three m7G-modified subtypes named m7G/gene cluster-A, B, C. We found that both m7G cluster B and gene cluster B exhibited higher prognosis and higher immune cell infiltration in TME compared to other subtypes. EIF4E3 and IFIT5, two m7G related genes, were both markedly elevated in Cluster B. Then, we constructed an m7G score system utilizing principal component analysis (PCA) in order to evaluate the patients' prognosis. High m7G score subtype was associated with better survival prognosis and active immune response. Overall, this article revealed that m7G modification patterns were involved in the development of the tumor microenvironment. Evaluating patients' m7G modification patterns will enhance our understanding of TME characteristics and help to guide personal treatment in clinics in the future. Frontiers Media S.A. 2022-12-01 /pmc/articles/PMC9751814/ /pubmed/36532001 http://dx.doi.org/10.3389/fimmu.2022.1034516 Text en Copyright © 2022 Zhang, Miao, Sun, Wang, Zhao, Pang, Wu, Shen and Chen 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, Xin Miao, Ying Sun, Hao-Wen Wang, Yi-Xiao Zhao, Wen-Min Pang, A-Ying Wu, Xiao-Yan Shen, Cong-Cong Chen, Xiao-Dong Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma |
title | Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma |
title_full | Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma |
title_fullStr | Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma |
title_full_unstemmed | Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma |
title_short | Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma |
title_sort | integrated analysis from multi-center studies identities m7g-derived modification pattern and risk stratification system in skin cutaneous melanoma |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751814/ https://www.ncbi.nlm.nih.gov/pubmed/36532001 http://dx.doi.org/10.3389/fimmu.2022.1034516 |
work_keys_str_mv | AT zhangxin integratedanalysisfrommulticenterstudiesidentitiesm7gderivedmodificationpatternandriskstratificationsysteminskincutaneousmelanoma AT miaoying integratedanalysisfrommulticenterstudiesidentitiesm7gderivedmodificationpatternandriskstratificationsysteminskincutaneousmelanoma AT sunhaowen integratedanalysisfrommulticenterstudiesidentitiesm7gderivedmodificationpatternandriskstratificationsysteminskincutaneousmelanoma AT wangyixiao integratedanalysisfrommulticenterstudiesidentitiesm7gderivedmodificationpatternandriskstratificationsysteminskincutaneousmelanoma AT zhaowenmin integratedanalysisfrommulticenterstudiesidentitiesm7gderivedmodificationpatternandriskstratificationsysteminskincutaneousmelanoma AT pangaying integratedanalysisfrommulticenterstudiesidentitiesm7gderivedmodificationpatternandriskstratificationsysteminskincutaneousmelanoma AT wuxiaoyan integratedanalysisfrommulticenterstudiesidentitiesm7gderivedmodificationpatternandriskstratificationsysteminskincutaneousmelanoma AT shencongcong integratedanalysisfrommulticenterstudiesidentitiesm7gderivedmodificationpatternandriskstratificationsysteminskincutaneousmelanoma AT chenxiaodong integratedanalysisfrommulticenterstudiesidentitiesm7gderivedmodificationpatternandriskstratificationsysteminskincutaneousmelanoma |