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Identification of a progression-associated long non-coding RNA signature for predicting the prognosis of lung squamous cell carcinoma

Long non-coding RNAs (lncRNAs) have been indicated to have prognostic roles in various cancer types. However, the association between lncRNAs and lung squamous cell carcinoma (LSCC) progression, and the prognostic value of lncRNAs as a marker for early detection of LSCC have not been systematically...

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Detalles Bibliográficos
Autores principales: Wang, Yanyan, Yang, Fang, Zhuang, Yongzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774407/
https://www.ncbi.nlm.nih.gov/pubmed/29434705
http://dx.doi.org/10.3892/etm.2017.5571
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author Wang, Yanyan
Yang, Fang
Zhuang, Yongzhi
author_facet Wang, Yanyan
Yang, Fang
Zhuang, Yongzhi
author_sort Wang, Yanyan
collection PubMed
description Long non-coding RNAs (lncRNAs) have been indicated to have prognostic roles in various cancer types. However, the association between lncRNAs and lung squamous cell carcinoma (LSCC) progression, and the prognostic value of lncRNAs as a marker for early detection of LSCC have not been systematically investigated. The present study performed a genome-wide comparative analysis in order to determine the expression profiles of 10,207 lncRNAs to investigate the expression patterns between patients with early stages of LSCC (stage I–II) and those with late-stage disease (stage III–IV). It was found that 114 lncRNAs were significantly differentially expressed between late- and early-stage LSCC and therefore associated with the progression of the malignancy. By focusing on progression-associated lncRNAs, eight lncRNAs were found to be significantly associated with overall survival of LSCC patients according to univariate Cox proportional hazards regression analysis. These eight prognostic lncRNAs were integrated into a progression-associated eight-lncRNA signature, which stratified patients into two groups with significantly different overall survival (median survival, 2.25 vs. 7.68 years; P=2.06×10(−5)). In addition, the prognostic value of the progression-associated eight-lncRNA signature was independent of known clinical factors. Functional analysis suggested that eight prognostic lncRNAs may be involved in adipocytokine signaling pathway and glycerophospholipid metabolism. Taken together, the progression-associated eight-lncRNA signature identified by our study not only represents a candidate prognostic biomarker for LSCC patients but also provides insight into the molecular mechanisms in the progression of LSCC.
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spelling pubmed-57744072018-02-12 Identification of a progression-associated long non-coding RNA signature for predicting the prognosis of lung squamous cell carcinoma Wang, Yanyan Yang, Fang Zhuang, Yongzhi Exp Ther Med Articles Long non-coding RNAs (lncRNAs) have been indicated to have prognostic roles in various cancer types. However, the association between lncRNAs and lung squamous cell carcinoma (LSCC) progression, and the prognostic value of lncRNAs as a marker for early detection of LSCC have not been systematically investigated. The present study performed a genome-wide comparative analysis in order to determine the expression profiles of 10,207 lncRNAs to investigate the expression patterns between patients with early stages of LSCC (stage I–II) and those with late-stage disease (stage III–IV). It was found that 114 lncRNAs were significantly differentially expressed between late- and early-stage LSCC and therefore associated with the progression of the malignancy. By focusing on progression-associated lncRNAs, eight lncRNAs were found to be significantly associated with overall survival of LSCC patients according to univariate Cox proportional hazards regression analysis. These eight prognostic lncRNAs were integrated into a progression-associated eight-lncRNA signature, which stratified patients into two groups with significantly different overall survival (median survival, 2.25 vs. 7.68 years; P=2.06×10(−5)). In addition, the prognostic value of the progression-associated eight-lncRNA signature was independent of known clinical factors. Functional analysis suggested that eight prognostic lncRNAs may be involved in adipocytokine signaling pathway and glycerophospholipid metabolism. Taken together, the progression-associated eight-lncRNA signature identified by our study not only represents a candidate prognostic biomarker for LSCC patients but also provides insight into the molecular mechanisms in the progression of LSCC. D.A. Spandidos 2018-02 2017-11-27 /pmc/articles/PMC5774407/ /pubmed/29434705 http://dx.doi.org/10.3892/etm.2017.5571 Text en Copyright: © Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wang, Yanyan
Yang, Fang
Zhuang, Yongzhi
Identification of a progression-associated long non-coding RNA signature for predicting the prognosis of lung squamous cell carcinoma
title Identification of a progression-associated long non-coding RNA signature for predicting the prognosis of lung squamous cell carcinoma
title_full Identification of a progression-associated long non-coding RNA signature for predicting the prognosis of lung squamous cell carcinoma
title_fullStr Identification of a progression-associated long non-coding RNA signature for predicting the prognosis of lung squamous cell carcinoma
title_full_unstemmed Identification of a progression-associated long non-coding RNA signature for predicting the prognosis of lung squamous cell carcinoma
title_short Identification of a progression-associated long non-coding RNA signature for predicting the prognosis of lung squamous cell carcinoma
title_sort identification of a progression-associated long non-coding rna signature for predicting the prognosis of lung squamous cell carcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774407/
https://www.ncbi.nlm.nih.gov/pubmed/29434705
http://dx.doi.org/10.3892/etm.2017.5571
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