Cargando…

An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma

BACKGROUND: Accumulating evidence indicates that long non-coding RNAs (lncRNAs) are involving in the tumorigenesis and metastasis of lung cancer. The aim of the study is to systematically characterize the lncRNA-associated competing endogenous RNA (ceRNA) network and identify key lncRNAs in the deve...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Yuan, Lin, Guofu, Liu, Yifei, Lin, Xianbin, Lin, Hai, Guo, Zhifeng, Xu, Yingxuan, Lin, Qinhui, Chen, Shaohua, Yang, Jiansheng, Zeng, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857797/
https://www.ncbi.nlm.nih.gov/pubmed/35183135
http://dx.doi.org/10.1186/s12885-022-09290-0
_version_ 1784654115164389376
author Xu, Yuan
Lin, Guofu
Liu, Yifei
Lin, Xianbin
Lin, Hai
Guo, Zhifeng
Xu, Yingxuan
Lin, Qinhui
Chen, Shaohua
Yang, Jiansheng
Zeng, Yiming
author_facet Xu, Yuan
Lin, Guofu
Liu, Yifei
Lin, Xianbin
Lin, Hai
Guo, Zhifeng
Xu, Yingxuan
Lin, Qinhui
Chen, Shaohua
Yang, Jiansheng
Zeng, Yiming
author_sort Xu, Yuan
collection PubMed
description BACKGROUND: Accumulating evidence indicates that long non-coding RNAs (lncRNAs) are involving in the tumorigenesis and metastasis of lung cancer. The aim of the study is to systematically characterize the lncRNA-associated competing endogenous RNA (ceRNA) network and identify key lncRNAs in the development of stage I lung adenocarcinoma (LUAD). METHODS: Totally, 1,955 DEmRNAs, 165 DEmiRNAs and 1,107 DElncRNAs were obtained in 10 paired normal and LUAD tissues. And a total of 8,912 paired lncRNA-miRNA-mRNA network was constructed. Using the Cancer Genome Atlas (TCGA) dataset, the module of ME turquoise was revealed to be most relevant to the progression of LUAD though Weighted Gene Co-expression Network Analysis (WGCNA). RESULTS: Of the lncRNAs identified, LINC00639, RP4-676L2.1 and FENDRR were in ceRNA network established by our RNA-sequencing dataset. Using univariate Cox regression analysis, FENDRR was a risk factor of progression free survival (PFS) of stage I LUAD patients (HRs = 1.69, 95%CI 1.07–2.68, P < .050). Subsequently, diffe rential expression of FENDRR in paired normal and LUAD tissues was detected significant by real-time quantitative (qRT-PCR) (P < 0.001). CONCLUSIONS: This study, for the first time, deciphered the regulatory role of FENDRR/miR-6815-5p axis in the progression of early-stage LUAD, which is needed to be established in vitro and in vivo. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09290-0.
format Online
Article
Text
id pubmed-8857797
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-88577972022-02-23 An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma Xu, Yuan Lin, Guofu Liu, Yifei Lin, Xianbin Lin, Hai Guo, Zhifeng Xu, Yingxuan Lin, Qinhui Chen, Shaohua Yang, Jiansheng Zeng, Yiming BMC Cancer Research BACKGROUND: Accumulating evidence indicates that long non-coding RNAs (lncRNAs) are involving in the tumorigenesis and metastasis of lung cancer. The aim of the study is to systematically characterize the lncRNA-associated competing endogenous RNA (ceRNA) network and identify key lncRNAs in the development of stage I lung adenocarcinoma (LUAD). METHODS: Totally, 1,955 DEmRNAs, 165 DEmiRNAs and 1,107 DElncRNAs were obtained in 10 paired normal and LUAD tissues. And a total of 8,912 paired lncRNA-miRNA-mRNA network was constructed. Using the Cancer Genome Atlas (TCGA) dataset, the module of ME turquoise was revealed to be most relevant to the progression of LUAD though Weighted Gene Co-expression Network Analysis (WGCNA). RESULTS: Of the lncRNAs identified, LINC00639, RP4-676L2.1 and FENDRR were in ceRNA network established by our RNA-sequencing dataset. Using univariate Cox regression analysis, FENDRR was a risk factor of progression free survival (PFS) of stage I LUAD patients (HRs = 1.69, 95%CI 1.07–2.68, P < .050). Subsequently, diffe rential expression of FENDRR in paired normal and LUAD tissues was detected significant by real-time quantitative (qRT-PCR) (P < 0.001). CONCLUSIONS: This study, for the first time, deciphered the regulatory role of FENDRR/miR-6815-5p axis in the progression of early-stage LUAD, which is needed to be established in vitro and in vivo. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09290-0. BioMed Central 2022-02-19 /pmc/articles/PMC8857797/ /pubmed/35183135 http://dx.doi.org/10.1186/s12885-022-09290-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Research
Xu, Yuan
Lin, Guofu
Liu, Yifei
Lin, Xianbin
Lin, Hai
Guo, Zhifeng
Xu, Yingxuan
Lin, Qinhui
Chen, Shaohua
Yang, Jiansheng
Zeng, Yiming
An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma
title An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma
title_full An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma
title_fullStr An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma
title_full_unstemmed An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma
title_short An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma
title_sort integrated analysis of the competing endogenous rna network associated of prognosis of stage i lung adenocarcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857797/
https://www.ncbi.nlm.nih.gov/pubmed/35183135
http://dx.doi.org/10.1186/s12885-022-09290-0
work_keys_str_mv AT xuyuan anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT linguofu anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT liuyifei anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT linxianbin anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT linhai anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT guozhifeng anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT xuyingxuan anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT linqinhui anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT chenshaohua anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT yangjiansheng anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT zengyiming anintegratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT xuyuan integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT linguofu integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT liuyifei integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT linxianbin integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT linhai integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT guozhifeng integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT xuyingxuan integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT linqinhui integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT chenshaohua integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT yangjiansheng integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma
AT zengyiming integratedanalysisofthecompetingendogenousrnanetworkassociatedofprognosisofstageilungadenocarcinoma