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m(6)A regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma

Background: Studies have shown that the RNA N(6)-methyladenosine (m(6)A) modification patterns are extensively involved in the development of multiple tumors. However, the association between the m(6)A regulator expression patterns and the sarcoma tumor immune microenvironment (TIME) remains unclear...

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Autores principales: Li, Zhehong, Wei, Junqiang, Zheng, Honghong, Gan, Xintian, Song, Mingze, Zhang, Yafang, Kong, Lingwei, Zhang, Chao, Yang, Jilong, Jin, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791212/
https://www.ncbi.nlm.nih.gov/pubmed/34979500
http://dx.doi.org/10.18632/aging.203807
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author Li, Zhehong
Wei, Junqiang
Zheng, Honghong
Gan, Xintian
Song, Mingze
Zhang, Yafang
Kong, Lingwei
Zhang, Chao
Yang, Jilong
Jin, Yu
author_facet Li, Zhehong
Wei, Junqiang
Zheng, Honghong
Gan, Xintian
Song, Mingze
Zhang, Yafang
Kong, Lingwei
Zhang, Chao
Yang, Jilong
Jin, Yu
author_sort Li, Zhehong
collection PubMed
description Background: Studies have shown that the RNA N(6)-methyladenosine (m(6)A) modification patterns are extensively involved in the development of multiple tumors. However, the association between the m(6)A regulator expression patterns and the sarcoma tumor immune microenvironment (TIME) remains unclear. Methods: We systematically evaluated the m(6)A regulator expression patterns in patients with sarcoma based on known 23 m(6)A regulators. Different m(6)A regulator expression patterns were analyzed using gene set variation analysis and a single-sample gene set enrichment analysis algorithm. According to the results of consensus clustering, we classified the patients into four different clusters. Next, we subjected the four clusters to differential genetic analysis and established m(6)A-related differentially expressed genes (DEGs). We then calculated the m(6)A-related DEGs score and constructed the m(6)A-related gene signature, named m(6)A score. Finally, the 259 sarcoma samples were divided into high- and low-m(6)A score groups. We further evaluated the TIME landscape between the high- and low-m(6)A score groups. Results: We identified four different m(6)A modification clusters and found that each cluster had unique metabolic and immunological characteristics. Based on the 19 prognosis-related DEGs, we calculated the principal component analysis scores for each patient with sarcoma and classified them into high- and low-m(6)A score groups. Conclusions: The m(6)A regulator expression patterns and complexity of the sarcoma TIME landscape are closely related to each other. Systematic evaluation of m(6)A regulator expression patterns and m(6)A scores in patients with sarcoma will enhance our understanding of TIME characteristics.
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spelling pubmed-87912122022-01-27 m(6)A regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma Li, Zhehong Wei, Junqiang Zheng, Honghong Gan, Xintian Song, Mingze Zhang, Yafang Kong, Lingwei Zhang, Chao Yang, Jilong Jin, Yu Aging (Albany NY) Research Paper Background: Studies have shown that the RNA N(6)-methyladenosine (m(6)A) modification patterns are extensively involved in the development of multiple tumors. However, the association between the m(6)A regulator expression patterns and the sarcoma tumor immune microenvironment (TIME) remains unclear. Methods: We systematically evaluated the m(6)A regulator expression patterns in patients with sarcoma based on known 23 m(6)A regulators. Different m(6)A regulator expression patterns were analyzed using gene set variation analysis and a single-sample gene set enrichment analysis algorithm. According to the results of consensus clustering, we classified the patients into four different clusters. Next, we subjected the four clusters to differential genetic analysis and established m(6)A-related differentially expressed genes (DEGs). We then calculated the m(6)A-related DEGs score and constructed the m(6)A-related gene signature, named m(6)A score. Finally, the 259 sarcoma samples were divided into high- and low-m(6)A score groups. We further evaluated the TIME landscape between the high- and low-m(6)A score groups. Results: We identified four different m(6)A modification clusters and found that each cluster had unique metabolic and immunological characteristics. Based on the 19 prognosis-related DEGs, we calculated the principal component analysis scores for each patient with sarcoma and classified them into high- and low-m(6)A score groups. Conclusions: The m(6)A regulator expression patterns and complexity of the sarcoma TIME landscape are closely related to each other. Systematic evaluation of m(6)A regulator expression patterns and m(6)A scores in patients with sarcoma will enhance our understanding of TIME characteristics. Impact Journals 2022-01-03 /pmc/articles/PMC8791212/ /pubmed/34979500 http://dx.doi.org/10.18632/aging.203807 Text en Copyright: © 2021 Li et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Li, Zhehong
Wei, Junqiang
Zheng, Honghong
Gan, Xintian
Song, Mingze
Zhang, Yafang
Kong, Lingwei
Zhang, Chao
Yang, Jilong
Jin, Yu
m(6)A regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma
title m(6)A regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma
title_full m(6)A regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma
title_fullStr m(6)A regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma
title_full_unstemmed m(6)A regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma
title_short m(6)A regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma
title_sort m(6)a regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791212/
https://www.ncbi.nlm.nih.gov/pubmed/34979500
http://dx.doi.org/10.18632/aging.203807
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