Cargando…
The mRNA related ceRNA–ceRNA landscape and significance across 20 major cancer types
Cross-talk between competitive endogenous RNAs (ceRNAs) through shared miRNAs represents a novel layer of gene regulation that plays important roles in the physiology and development of cancers. However, a global view of their system-level properties across various types of cancers is still unknown....
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4787795/ https://www.ncbi.nlm.nih.gov/pubmed/26304537 http://dx.doi.org/10.1093/nar/gkv853 |
_version_ | 1782420689562632192 |
---|---|
author | Xu, Juan Li, Yongsheng Lu, Jianping Pan, Tao Ding, Na Wang, Zishan Shao, Tingting Zhang, Jinwen Wang, Lihua Li, Xia |
author_facet | Xu, Juan Li, Yongsheng Lu, Jianping Pan, Tao Ding, Na Wang, Zishan Shao, Tingting Zhang, Jinwen Wang, Lihua Li, Xia |
author_sort | Xu, Juan |
collection | PubMed |
description | Cross-talk between competitive endogenous RNAs (ceRNAs) through shared miRNAs represents a novel layer of gene regulation that plays important roles in the physiology and development of cancers. However, a global view of their system-level properties across various types of cancers is still unknown. Here, we constructed the mRNA related ceRNA–ceRNA interaction landscape across 20 cancer types by systematically analyzing molecular profiles of 5203 tumors and miRNA regulations. Our study highlights the conserved features shared by pan-cancer and higher similarity within similar origin cell type. Moreover, a core ceRNA network was identified. Function analysis identified a common theme of cancer hallmarks, however they exhibit phenotype-specific connectivity patterns. Besides, we found a marked rewiring in the ceRNA program between various cancers, and further revealed conserved and rewired network ceRNA hubs in each cancer, which were tensely competitive interactions to constitute conserved and cancer-specific modules. By providing mechanistic linkage between known cancer miRNAs, their mediated ceRNA–ceRNA interactions, and the associations with known cancer hallmarks, the inferred cancer ceRNA–ceRNA interaction landscape will serve as a powerful public resource for further biological discoveries of tumorigenesis. |
format | Online Article Text |
id | pubmed-4787795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47877952016-03-14 The mRNA related ceRNA–ceRNA landscape and significance across 20 major cancer types Xu, Juan Li, Yongsheng Lu, Jianping Pan, Tao Ding, Na Wang, Zishan Shao, Tingting Zhang, Jinwen Wang, Lihua Li, Xia Nucleic Acids Res Computational Biology Cross-talk between competitive endogenous RNAs (ceRNAs) through shared miRNAs represents a novel layer of gene regulation that plays important roles in the physiology and development of cancers. However, a global view of their system-level properties across various types of cancers is still unknown. Here, we constructed the mRNA related ceRNA–ceRNA interaction landscape across 20 cancer types by systematically analyzing molecular profiles of 5203 tumors and miRNA regulations. Our study highlights the conserved features shared by pan-cancer and higher similarity within similar origin cell type. Moreover, a core ceRNA network was identified. Function analysis identified a common theme of cancer hallmarks, however they exhibit phenotype-specific connectivity patterns. Besides, we found a marked rewiring in the ceRNA program between various cancers, and further revealed conserved and rewired network ceRNA hubs in each cancer, which were tensely competitive interactions to constitute conserved and cancer-specific modules. By providing mechanistic linkage between known cancer miRNAs, their mediated ceRNA–ceRNA interactions, and the associations with known cancer hallmarks, the inferred cancer ceRNA–ceRNA interaction landscape will serve as a powerful public resource for further biological discoveries of tumorigenesis. Oxford University Press 2015-09-30 2015-08-24 /pmc/articles/PMC4787795/ /pubmed/26304537 http://dx.doi.org/10.1093/nar/gkv853 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Computational Biology Xu, Juan Li, Yongsheng Lu, Jianping Pan, Tao Ding, Na Wang, Zishan Shao, Tingting Zhang, Jinwen Wang, Lihua Li, Xia The mRNA related ceRNA–ceRNA landscape and significance across 20 major cancer types |
title | The mRNA related ceRNA–ceRNA landscape and significance across 20 major cancer types |
title_full | The mRNA related ceRNA–ceRNA landscape and significance across 20 major cancer types |
title_fullStr | The mRNA related ceRNA–ceRNA landscape and significance across 20 major cancer types |
title_full_unstemmed | The mRNA related ceRNA–ceRNA landscape and significance across 20 major cancer types |
title_short | The mRNA related ceRNA–ceRNA landscape and significance across 20 major cancer types |
title_sort | mrna related cerna–cerna landscape and significance across 20 major cancer types |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4787795/ https://www.ncbi.nlm.nih.gov/pubmed/26304537 http://dx.doi.org/10.1093/nar/gkv853 |
work_keys_str_mv | AT xujuan themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT liyongsheng themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT lujianping themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT pantao themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT dingna themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT wangzishan themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT shaotingting themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT zhangjinwen themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT wanglihua themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT lixia themrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT xujuan mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT liyongsheng mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT lujianping mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT pantao mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT dingna mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT wangzishan mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT shaotingting mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT zhangjinwen mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT wanglihua mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes AT lixia mrnarelatedcernacernalandscapeandsignificanceacross20majorcancertypes |