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Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types
N6-Methyladenosine (m6A) is an RNA modification that interacts with numerous coding and non-coding RNAs and plays important roles in the development of cancers. Nonetheless, the clinical impacts of m6A interactive genes on these cancers largely remain unclear since most studies focus only on a singl...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045265/ https://www.ncbi.nlm.nih.gov/pubmed/33849552 http://dx.doi.org/10.1186/s12943-021-01362-2 |
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author | Shen, Sipeng Zhang, Ruyang Jiang, Yue Li, Yi Lin, Lijuan Liu, Zhonghua Zhao, Yang Shen, Hongbing Hu, Zhibin Wei, Yongyue Chen, Feng |
author_facet | Shen, Sipeng Zhang, Ruyang Jiang, Yue Li, Yi Lin, Lijuan Liu, Zhonghua Zhao, Yang Shen, Hongbing Hu, Zhibin Wei, Yongyue Chen, Feng |
author_sort | Shen, Sipeng |
collection | PubMed |
description | N6-Methyladenosine (m6A) is an RNA modification that interacts with numerous coding and non-coding RNAs and plays important roles in the development of cancers. Nonetheless, the clinical impacts of m6A interactive genes on these cancers largely remain unclear since most studies focus only on a single cancer type. We comprehensively evaluated m6A modification patterns, including 23 m6A regulators and 83 interactive coding and non-coding RNAs among 9,804 pan-cancer samples. We used clustering analysis to identify m6A subtypes and constructed the m6A signature based on an unsupervised approach. We used the signatures to identify potential m6A modification targets across the genome. The prognostic value of one target was further validated in 3,444 samples from six external datasets. We developed three distinct m6A modification subtypes with different tumor microenvironment cell infiltration degrees: immunological, intermediate, and tumor proliferative. They were significantly associated with overall survival in 24 of 27 cancer types. Our constructed individual-level m6A signature was associated with survival, tumor mutation burden, and classical pathways. With the signature, we identified 114 novel genes as potential m6A targets. The gene shared most commonly between cancer types, BCL9L, is an oncogene and interacts with m6A patterns in the Wnt signaling pathway. In conclusion, m6A regulators and their interactive genes impact the outcome of various cancers. Evaluating the m6A subtype and the signature of individual tumors may inform the design of adjuvant treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-021-01362-2. |
format | Online Article Text |
id | pubmed-8045265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80452652021-04-14 Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types Shen, Sipeng Zhang, Ruyang Jiang, Yue Li, Yi Lin, Lijuan Liu, Zhonghua Zhao, Yang Shen, Hongbing Hu, Zhibin Wei, Yongyue Chen, Feng Mol Cancer Letter to the Editor N6-Methyladenosine (m6A) is an RNA modification that interacts with numerous coding and non-coding RNAs and plays important roles in the development of cancers. Nonetheless, the clinical impacts of m6A interactive genes on these cancers largely remain unclear since most studies focus only on a single cancer type. We comprehensively evaluated m6A modification patterns, including 23 m6A regulators and 83 interactive coding and non-coding RNAs among 9,804 pan-cancer samples. We used clustering analysis to identify m6A subtypes and constructed the m6A signature based on an unsupervised approach. We used the signatures to identify potential m6A modification targets across the genome. The prognostic value of one target was further validated in 3,444 samples from six external datasets. We developed three distinct m6A modification subtypes with different tumor microenvironment cell infiltration degrees: immunological, intermediate, and tumor proliferative. They were significantly associated with overall survival in 24 of 27 cancer types. Our constructed individual-level m6A signature was associated with survival, tumor mutation burden, and classical pathways. With the signature, we identified 114 novel genes as potential m6A targets. The gene shared most commonly between cancer types, BCL9L, is an oncogene and interacts with m6A patterns in the Wnt signaling pathway. In conclusion, m6A regulators and their interactive genes impact the outcome of various cancers. Evaluating the m6A subtype and the signature of individual tumors may inform the design of adjuvant treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-021-01362-2. BioMed Central 2021-04-13 /pmc/articles/PMC8045265/ /pubmed/33849552 http://dx.doi.org/10.1186/s12943-021-01362-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Letter to the Editor Shen, Sipeng Zhang, Ruyang Jiang, Yue Li, Yi Lin, Lijuan Liu, Zhonghua Zhao, Yang Shen, Hongbing Hu, Zhibin Wei, Yongyue Chen, Feng Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types |
title | Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types |
title_full | Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types |
title_fullStr | Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types |
title_full_unstemmed | Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types |
title_short | Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types |
title_sort | comprehensive analyses of m6a regulators and interactive coding and non-coding rnas across 32 cancer types |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045265/ https://www.ncbi.nlm.nih.gov/pubmed/33849552 http://dx.doi.org/10.1186/s12943-021-01362-2 |
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