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Integrative analysis reveals clinical phenotypes and oncogenic potentials of long non-coding RNAs across 15 cancer types

Long non-coding RNAs (lncRNAs) have been shown to contribute to tumorigenesis. However, surprisingly little is known about the comprehensive clinical and genomic characterization of lncRNAs across human cancer. In this study, we conducted comprehensive analyses for the expression profile, clinical o...

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Autores principales: Wang, Ze-Lin, Li, Bin, Piccolo, Stephen R., Zhang, Xiao-Qin, Li, Jun-Hao, Zhou, Hui, Yang, Jian-Hua, Qu, Liang-Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5085208/
https://www.ncbi.nlm.nih.gov/pubmed/27147563
http://dx.doi.org/10.18632/oncotarget.9037
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author Wang, Ze-Lin
Li, Bin
Piccolo, Stephen R.
Zhang, Xiao-Qin
Li, Jun-Hao
Zhou, Hui
Yang, Jian-Hua
Qu, Liang-Hu
author_facet Wang, Ze-Lin
Li, Bin
Piccolo, Stephen R.
Zhang, Xiao-Qin
Li, Jun-Hao
Zhou, Hui
Yang, Jian-Hua
Qu, Liang-Hu
author_sort Wang, Ze-Lin
collection PubMed
description Long non-coding RNAs (lncRNAs) have been shown to contribute to tumorigenesis. However, surprisingly little is known about the comprehensive clinical and genomic characterization of lncRNAs across human cancer. In this study, we conducted comprehensive analyses for the expression profile, clinical outcomes, somatic copy number alterations (SCNAs) profile of lncRNAs in ~7000 clinical samples from 15 different cancer types. We identified significantly differentially expressed lncRNAs between tumor and normal tissues from each cancer. Notably, we characterized 47 lncRNAs which were extensively dysregulated in at least 10 cancer types, suggesting a conserved function in cancer development. We also analyzed the associations between lncRNA expressions and patient survival, and identified sets of lncRNAs that possessed significant prognostic values in specific cancer types. Our combined analysis of SCNA data and expression data uncovered 116 dysregulated lncRNAs are strikingly genomic altered across 15 cancer types, indicating their oncogenic potentials. Our study may lay the groundwork for future functional studies of lncRNAs and help facilitate the discovery of novel clinical biomarkers.
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spelling pubmed-50852082016-10-31 Integrative analysis reveals clinical phenotypes and oncogenic potentials of long non-coding RNAs across 15 cancer types Wang, Ze-Lin Li, Bin Piccolo, Stephen R. Zhang, Xiao-Qin Li, Jun-Hao Zhou, Hui Yang, Jian-Hua Qu, Liang-Hu Oncotarget Research Paper Long non-coding RNAs (lncRNAs) have been shown to contribute to tumorigenesis. However, surprisingly little is known about the comprehensive clinical and genomic characterization of lncRNAs across human cancer. In this study, we conducted comprehensive analyses for the expression profile, clinical outcomes, somatic copy number alterations (SCNAs) profile of lncRNAs in ~7000 clinical samples from 15 different cancer types. We identified significantly differentially expressed lncRNAs between tumor and normal tissues from each cancer. Notably, we characterized 47 lncRNAs which were extensively dysregulated in at least 10 cancer types, suggesting a conserved function in cancer development. We also analyzed the associations between lncRNA expressions and patient survival, and identified sets of lncRNAs that possessed significant prognostic values in specific cancer types. Our combined analysis of SCNA data and expression data uncovered 116 dysregulated lncRNAs are strikingly genomic altered across 15 cancer types, indicating their oncogenic potentials. Our study may lay the groundwork for future functional studies of lncRNAs and help facilitate the discovery of novel clinical biomarkers. Impact Journals LLC 2016-04-27 /pmc/articles/PMC5085208/ /pubmed/27147563 http://dx.doi.org/10.18632/oncotarget.9037 Text en Copyright: © 2016 Wang et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Wang, Ze-Lin
Li, Bin
Piccolo, Stephen R.
Zhang, Xiao-Qin
Li, Jun-Hao
Zhou, Hui
Yang, Jian-Hua
Qu, Liang-Hu
Integrative analysis reveals clinical phenotypes and oncogenic potentials of long non-coding RNAs across 15 cancer types
title Integrative analysis reveals clinical phenotypes and oncogenic potentials of long non-coding RNAs across 15 cancer types
title_full Integrative analysis reveals clinical phenotypes and oncogenic potentials of long non-coding RNAs across 15 cancer types
title_fullStr Integrative analysis reveals clinical phenotypes and oncogenic potentials of long non-coding RNAs across 15 cancer types
title_full_unstemmed Integrative analysis reveals clinical phenotypes and oncogenic potentials of long non-coding RNAs across 15 cancer types
title_short Integrative analysis reveals clinical phenotypes and oncogenic potentials of long non-coding RNAs across 15 cancer types
title_sort integrative analysis reveals clinical phenotypes and oncogenic potentials of long non-coding rnas across 15 cancer types
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5085208/
https://www.ncbi.nlm.nih.gov/pubmed/27147563
http://dx.doi.org/10.18632/oncotarget.9037
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