A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis

Abstract Growing evidences showed that a large number of miRNAs were abnormally expressed in cervical cancer tissues and played irreplaceable roles in tumorigenesis, progression and metastasis. The aim of the present study was to identify the differential miRNAs expression between cervical cancer an...

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Autores principales:	Bin Liang, Yunhui Li, Tianjiao Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7de1d58d7aed4af196cdac19fddb7f01
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spelling	oai:doaj.org-article:7de1d58d7aed4af196cdac19fddb7f012021-12-02T11:41:19ZA three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis10.1038/s41598-017-06032-22045-2322https://doaj.org/article/7de1d58d7aed4af196cdac19fddb7f012017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06032-2https://doaj.org/toc/2045-2322Abstract Growing evidences showed that a large number of miRNAs were abnormally expressed in cervical cancer tissues and played irreplaceable roles in tumorigenesis, progression and metastasis. The aim of the present study was to identify the differential miRNAs expression between cervical cancer and normal cervical tissues by analyzing the high-throughput miRNA data downloaded from TCGA database. Additionally, we evaluated the prognostic values of the differentially expressed miRNAs and constructed a three-miRNA signature that could effectively predict patient survival. According to the cut-off criteria (P < 0.05 and \|log2FC\| > 2.0), a total of 78 differentially expressed miRNAs were identified between cervical cancer tissues and matched normal tissues, including 37 up-regulated miRNAs and 41 down-regulated miRNAs. The Kaplan-Meier survival method revealed the prognostic function of the three miRNAs (miRNA-145, miRNA-200c, and miRNA-218-1). Univariate and multivariate Cox regression analysis showed that the three-miRNA signature was an independent prognostic factor in cervical cancer. The functional enrichment analysis suggested that the target genes of three miRNAs may be involved in various pathways related to cancer, including MAPK, AMPK, focal adhesion, cGMP-PKG, wnt, and mTOR signaling pathway. Taken together, the present study suggested that three-miRNA signature could be used as a prognostic marker in cervical cancer.Bin LiangYunhui LiTianjiao WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bin Liang Yunhui Li Tianjiao Wang A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis
description	Abstract Growing evidences showed that a large number of miRNAs were abnormally expressed in cervical cancer tissues and played irreplaceable roles in tumorigenesis, progression and metastasis. The aim of the present study was to identify the differential miRNAs expression between cervical cancer and normal cervical tissues by analyzing the high-throughput miRNA data downloaded from TCGA database. Additionally, we evaluated the prognostic values of the differentially expressed miRNAs and constructed a three-miRNA signature that could effectively predict patient survival. According to the cut-off criteria (P < 0.05 and \|log2FC\| > 2.0), a total of 78 differentially expressed miRNAs were identified between cervical cancer tissues and matched normal tissues, including 37 up-regulated miRNAs and 41 down-regulated miRNAs. The Kaplan-Meier survival method revealed the prognostic function of the three miRNAs (miRNA-145, miRNA-200c, and miRNA-218-1). Univariate and multivariate Cox regression analysis showed that the three-miRNA signature was an independent prognostic factor in cervical cancer. The functional enrichment analysis suggested that the target genes of three miRNAs may be involved in various pathways related to cancer, including MAPK, AMPK, focal adhesion, cGMP-PKG, wnt, and mTOR signaling pathway. Taken together, the present study suggested that three-miRNA signature could be used as a prognostic marker in cervical cancer.
format	article
author	Bin Liang Yunhui Li Tianjiao Wang
author_facet	Bin Liang Yunhui Li Tianjiao Wang
author_sort	Bin Liang
title	A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis
title_short	A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis
title_full	A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis
title_fullStr	A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis
title_full_unstemmed	A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis
title_sort	three mirnas signature predicts survival in cervical cancer using bioinformatics analysis
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/7de1d58d7aed4af196cdac19fddb7f01
work_keys_str_mv	AT binliang athreemirnassignaturepredictssurvivalincervicalcancerusingbioinformaticsanalysis AT yunhuili athreemirnassignaturepredictssurvivalincervicalcancerusingbioinformaticsanalysis AT tianjiaowang athreemirnassignaturepredictssurvivalincervicalcancerusingbioinformaticsanalysis AT binliang threemirnassignaturepredictssurvivalincervicalcancerusingbioinformaticsanalysis AT yunhuili threemirnassignaturepredictssurvivalincervicalcancerusingbioinformaticsanalysis AT tianjiaowang threemirnassignaturepredictssurvivalincervicalcancerusingbioinformaticsanalysis
_version_	1718395407085600768

A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis

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