Prognostic cancer gene signatures share common regulatory motifs

Abstract Scientists have discovered various prognostic gene signatures (GSs) in different cancer types. Surprisingly, although different GSs from the same cancer type can be used to measure similar biological characteristics, often rarely is there a gene shared by different GSs. To explain such a pa...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ying Wang, Steve Goodison, Xiaoman Li, Haiyan Hu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/315dc1b7105b4ddcb1b20231b1318e53
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:315dc1b7105b4ddcb1b20231b1318e53
record_format	dspace
spelling	oai:doaj.org-article:315dc1b7105b4ddcb1b20231b1318e532021-12-02T16:08:08ZPrognostic cancer gene signatures share common regulatory motifs10.1038/s41598-017-05035-32045-2322https://doaj.org/article/315dc1b7105b4ddcb1b20231b1318e532017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05035-3https://doaj.org/toc/2045-2322Abstract Scientists have discovered various prognostic gene signatures (GSs) in different cancer types. Surprisingly, although different GSs from the same cancer type can be used to measure similar biological characteristics, often rarely is there a gene shared by different GSs. To explain such a paradox, we hypothesized that GSs from the same cancer type may be regulated by common regulatory motifs. To test this hypothesis, we carried out a comprehensive motif analysis on the prognostic GSs from five cancer types. We demonstrated that GSs from individual cancer type as well as across cancer types share regulatory motifs. We also observed that transcription factors that likely bind to these shared motifs have prognostic functions in cancers. Moreover, 75% of the predicted cofactors of these transcription factors may have cancer-related functions and some cofactors even have prognostic functions. In addition, there exist common microRNAs that regulate different GSs from individual cancer types and across cancer types, several of which are prognostic biomarkers for the corresponding cancer types. Our study suggested the existence of common regulatory mechanisms shared by GSs from individual cancer types and across cancer types, which shed light on the discovery of new prognostic GSs in cancers and the understanding of the regulatory mechanisms of cancers.Ying WangSteve GoodisonXiaoman LiHaiyan HuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ying Wang Steve Goodison Xiaoman Li Haiyan Hu Prognostic cancer gene signatures share common regulatory motifs
description	Abstract Scientists have discovered various prognostic gene signatures (GSs) in different cancer types. Surprisingly, although different GSs from the same cancer type can be used to measure similar biological characteristics, often rarely is there a gene shared by different GSs. To explain such a paradox, we hypothesized that GSs from the same cancer type may be regulated by common regulatory motifs. To test this hypothesis, we carried out a comprehensive motif analysis on the prognostic GSs from five cancer types. We demonstrated that GSs from individual cancer type as well as across cancer types share regulatory motifs. We also observed that transcription factors that likely bind to these shared motifs have prognostic functions in cancers. Moreover, 75% of the predicted cofactors of these transcription factors may have cancer-related functions and some cofactors even have prognostic functions. In addition, there exist common microRNAs that regulate different GSs from individual cancer types and across cancer types, several of which are prognostic biomarkers for the corresponding cancer types. Our study suggested the existence of common regulatory mechanisms shared by GSs from individual cancer types and across cancer types, which shed light on the discovery of new prognostic GSs in cancers and the understanding of the regulatory mechanisms of cancers.
format	article
author	Ying Wang Steve Goodison Xiaoman Li Haiyan Hu
author_facet	Ying Wang Steve Goodison Xiaoman Li Haiyan Hu
author_sort	Ying Wang
title	Prognostic cancer gene signatures share common regulatory motifs
title_short	Prognostic cancer gene signatures share common regulatory motifs
title_full	Prognostic cancer gene signatures share common regulatory motifs
title_fullStr	Prognostic cancer gene signatures share common regulatory motifs
title_full_unstemmed	Prognostic cancer gene signatures share common regulatory motifs
title_sort	prognostic cancer gene signatures share common regulatory motifs
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/315dc1b7105b4ddcb1b20231b1318e53
work_keys_str_mv	AT yingwang prognosticcancergenesignaturessharecommonregulatorymotifs AT stevegoodison prognosticcancergenesignaturessharecommonregulatorymotifs AT xiaomanli prognosticcancergenesignaturessharecommonregulatorymotifs AT haiyanhu prognosticcancergenesignaturessharecommonregulatorymotifs
_version_	1718384585748774912

Prognostic cancer gene signatures share common regulatory motifs

Ejemplares similares