Cargando…

Identification of cross-talk between m(6)A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types

Methylation of RNA and DNA, notably in the forms of N6-methyladenosine (m(6)A) and 5-methylcytosine (5mC) respectively, plays crucial roles in diverse biological processes. Currently, there is a lack of knowledge regarding the cross-talk between m(6)A and 5mC regulators. Thus, we systematically perf...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yu-Tong, Shen, Jia-Yi, Chen, Dong-Ping, Wu, Chen-Fei, Guo, Rui, Zhang, Pan-Pan, Lv, Jia-Wei, Li, Wen-Fei, Wang, Zi-Xian, Chen, Yu-Pei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081591/
https://www.ncbi.nlm.nih.gov/pubmed/32188475
http://dx.doi.org/10.1186/s13045-020-00854-w
_version_ 1783508200578875392
author Chen, Yu-Tong
Shen, Jia-Yi
Chen, Dong-Ping
Wu, Chen-Fei
Guo, Rui
Zhang, Pan-Pan
Lv, Jia-Wei
Li, Wen-Fei
Wang, Zi-Xian
Chen, Yu-Pei
author_facet Chen, Yu-Tong
Shen, Jia-Yi
Chen, Dong-Ping
Wu, Chen-Fei
Guo, Rui
Zhang, Pan-Pan
Lv, Jia-Wei
Li, Wen-Fei
Wang, Zi-Xian
Chen, Yu-Pei
author_sort Chen, Yu-Tong
collection PubMed
description Methylation of RNA and DNA, notably in the forms of N6-methyladenosine (m(6)A) and 5-methylcytosine (5mC) respectively, plays crucial roles in diverse biological processes. Currently, there is a lack of knowledge regarding the cross-talk between m(6)A and 5mC regulators. Thus, we systematically performed a pan-cancer genomic analysis by depicting the molecular correlations between m(6)A and 5mC regulators across ~ 11,000 subjects representing 33 cancer types. For the first time, we identified cross-talk between m(6)A and 5mC methylation at the multiomic level. Then, we further established m(6)A/5mC epigenetic module eigengenes by combining hub m(6)A/5mC regulators and informed a comprehensive epigenetic state. The model reflected status of the tumor-immune-stromal microenvironment and was able to predict patient survival in the majority of cancer types. Our results lay a solid foundation for epigenetic regulation in human cancer and pave a new road for related therapeutic targets.
format Online
Article
Text
id pubmed-7081591
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-70815912020-03-23 Identification of cross-talk between m(6)A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types Chen, Yu-Tong Shen, Jia-Yi Chen, Dong-Ping Wu, Chen-Fei Guo, Rui Zhang, Pan-Pan Lv, Jia-Wei Li, Wen-Fei Wang, Zi-Xian Chen, Yu-Pei J Hematol Oncol Letter to the Editor Methylation of RNA and DNA, notably in the forms of N6-methyladenosine (m(6)A) and 5-methylcytosine (5mC) respectively, plays crucial roles in diverse biological processes. Currently, there is a lack of knowledge regarding the cross-talk between m(6)A and 5mC regulators. Thus, we systematically performed a pan-cancer genomic analysis by depicting the molecular correlations between m(6)A and 5mC regulators across ~ 11,000 subjects representing 33 cancer types. For the first time, we identified cross-talk between m(6)A and 5mC methylation at the multiomic level. Then, we further established m(6)A/5mC epigenetic module eigengenes by combining hub m(6)A/5mC regulators and informed a comprehensive epigenetic state. The model reflected status of the tumor-immune-stromal microenvironment and was able to predict patient survival in the majority of cancer types. Our results lay a solid foundation for epigenetic regulation in human cancer and pave a new road for related therapeutic targets. BioMed Central 2020-03-18 /pmc/articles/PMC7081591/ /pubmed/32188475 http://dx.doi.org/10.1186/s13045-020-00854-w Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Chen, Yu-Tong
Shen, Jia-Yi
Chen, Dong-Ping
Wu, Chen-Fei
Guo, Rui
Zhang, Pan-Pan
Lv, Jia-Wei
Li, Wen-Fei
Wang, Zi-Xian
Chen, Yu-Pei
Identification of cross-talk between m(6)A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types
title Identification of cross-talk between m(6)A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types
title_full Identification of cross-talk between m(6)A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types
title_fullStr Identification of cross-talk between m(6)A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types
title_full_unstemmed Identification of cross-talk between m(6)A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types
title_short Identification of cross-talk between m(6)A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types
title_sort identification of cross-talk between m(6)a and 5mc regulators associated with onco-immunogenic features and prognosis across 33 cancer types
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081591/
https://www.ncbi.nlm.nih.gov/pubmed/32188475
http://dx.doi.org/10.1186/s13045-020-00854-w
work_keys_str_mv AT chenyutong identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes
AT shenjiayi identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes
AT chendongping identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes
AT wuchenfei identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes
AT guorui identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes
AT zhangpanpan identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes
AT lvjiawei identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes
AT liwenfei identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes
AT wangzixian identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes
AT chenyupei identificationofcrosstalkbetweenm6aand5mcregulatorsassociatedwithoncoimmunogenicfeaturesandprognosisacross33cancertypes