A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients

Abstract Head and neck squamous cell carcinoma (HNSCC) is one of the most malignant cancers with poor prognosis worldwide. Emerging evidence indicates that competing endogenous RNAs (ceRNAs) are involved in various diseases, however, the regulatory mechanisms of ceRNAs underlying HNSCC remain unclea...

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Autores principales:	Yuzi Xu, Fengqin Xu, Yiming Lv, Siyuan Wang, Jia Li, Chuan Zhou, Jimin Jiang, Binbin Xie, Fuming He
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/14c5d79e21614edba0dc11233a8a9ae1
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spelling	oai:doaj.org-article:14c5d79e21614edba0dc11233a8a9ae12021-12-02T17:05:49ZA ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients10.1038/s41598-021-86048-x2045-2322https://doaj.org/article/14c5d79e21614edba0dc11233a8a9ae12021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86048-xhttps://doaj.org/toc/2045-2322Abstract Head and neck squamous cell carcinoma (HNSCC) is one of the most malignant cancers with poor prognosis worldwide. Emerging evidence indicates that competing endogenous RNAs (ceRNAs) are involved in various diseases, however, the regulatory mechanisms of ceRNAs underlying HNSCC remain unclear. In this study, we retrieved differentially expressed long non-coding RNAs (DElncRNAs), messenger RNAs (DEmRNAs) and microRANs (DEmiRNAs) from The Cancer Genome Atlas database and constructed a ceRNA-based risk model in HNSCC by integrated bioinformatics approaches. Functional enrichment analyses showed that DEmRNAs might be involved in extracellular matrix related biological processes, and protein–protein interaction network further selected out prognostic genes, including MYL1 and ACTN2. Importantly, co-expressed RNAs identified by weighted co-expression gene network analysis constructed the ceRNA networks. Moreover, AC114730.3, AC136375.3, LAT and RYR3 were highly correlated to overall survival of HNSCC by Kaplan–Meier method and univariate Cox regression analysis, which were subsequently implemented multivariate Cox regression analysis to build the risk model. Our study provides a deeper understanding of ceRNAs on the regulatory mechanisms, which will facilitate the expansion of the roles on the ceRNAs in the tumorigenesis, development and treatment of HNSCC.Yuzi XuFengqin XuYiming LvSiyuan WangJia LiChuan ZhouJimin JiangBinbin XieFuming HeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yuzi Xu Fengqin Xu Yiming Lv Siyuan Wang Jia Li Chuan Zhou Jimin Jiang Binbin Xie Fuming He A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients
description	Abstract Head and neck squamous cell carcinoma (HNSCC) is one of the most malignant cancers with poor prognosis worldwide. Emerging evidence indicates that competing endogenous RNAs (ceRNAs) are involved in various diseases, however, the regulatory mechanisms of ceRNAs underlying HNSCC remain unclear. In this study, we retrieved differentially expressed long non-coding RNAs (DElncRNAs), messenger RNAs (DEmRNAs) and microRANs (DEmiRNAs) from The Cancer Genome Atlas database and constructed a ceRNA-based risk model in HNSCC by integrated bioinformatics approaches. Functional enrichment analyses showed that DEmRNAs might be involved in extracellular matrix related biological processes, and protein–protein interaction network further selected out prognostic genes, including MYL1 and ACTN2. Importantly, co-expressed RNAs identified by weighted co-expression gene network analysis constructed the ceRNA networks. Moreover, AC114730.3, AC136375.3, LAT and RYR3 were highly correlated to overall survival of HNSCC by Kaplan–Meier method and univariate Cox regression analysis, which were subsequently implemented multivariate Cox regression analysis to build the risk model. Our study provides a deeper understanding of ceRNAs on the regulatory mechanisms, which will facilitate the expansion of the roles on the ceRNAs in the tumorigenesis, development and treatment of HNSCC.
format	article
author	Yuzi Xu Fengqin Xu Yiming Lv Siyuan Wang Jia Li Chuan Zhou Jimin Jiang Binbin Xie Fuming He
author_facet	Yuzi Xu Fengqin Xu Yiming Lv Siyuan Wang Jia Li Chuan Zhou Jimin Jiang Binbin Xie Fuming He
author_sort	Yuzi Xu
title	A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients
title_short	A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients
title_full	A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients
title_fullStr	A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients
title_full_unstemmed	A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients
title_sort	cerna-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/14c5d79e21614edba0dc11233a8a9ae1
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A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients

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