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A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma

Long non-coding RNAs (lncRNAs) represent an emerging layer of cancer biology and have been implicated in the development and progression of cancers. However, the prognostic significance of lncRNAs in diffuse large-B-cell lymphoma (DLBCL) remains unclear and needs to be systematically investigated. I...

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Autores principales: Sun, Jie, Cheng, Liang, Shi, Hongbo, Zhang, Zhaoyue, Zhao, Hengqiang, Wang, Zhenzhen, Zhou, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4904406/
https://www.ncbi.nlm.nih.gov/pubmed/27292966
http://dx.doi.org/10.1038/srep27842
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author Sun, Jie
Cheng, Liang
Shi, Hongbo
Zhang, Zhaoyue
Zhao, Hengqiang
Wang, Zhenzhen
Zhou, Meng
author_facet Sun, Jie
Cheng, Liang
Shi, Hongbo
Zhang, Zhaoyue
Zhao, Hengqiang
Wang, Zhenzhen
Zhou, Meng
author_sort Sun, Jie
collection PubMed
description Long non-coding RNAs (lncRNAs) represent an emerging layer of cancer biology and have been implicated in the development and progression of cancers. However, the prognostic significance of lncRNAs in diffuse large-B-cell lymphoma (DLBCL) remains unclear and needs to be systematically investigated. In this study, we obtained and analyzed lncRNA expression profiles in three cohorts of 1043 DLBCL patients by repurposing the publicly available microarray datasets from the Gene Expression Omnibus (GEO) database. In the discovery series of 207 patients, we identified a set of six lncRNAs that was significantly associated with patients’ overall survival (OS) using univariate Cox regression analysis. The six prognostic lncRNAs were combined to form an expression-based six-lncRNA signature which classified patients of the discovery series into the high-risk group and low-risk group with significantly different survival outcome (HR = 2.31, 95% CI = 1.8 to 2.965, p < 0.001). The six-lncRNA signature was further confirmed in the internal testing series and two additional independent datasets with different array platform. Moreover, the prognostic value of the six-lncRNA signature is independent of conventional clinical factors. Functional analysis suggested that six-lncRNA signature may be involved with DLBCL through exerting their regulatory roles in known cancer-related pathways, immune system and signaling molecules interaction.
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spelling pubmed-49044062016-06-14 A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma Sun, Jie Cheng, Liang Shi, Hongbo Zhang, Zhaoyue Zhao, Hengqiang Wang, Zhenzhen Zhou, Meng Sci Rep Article Long non-coding RNAs (lncRNAs) represent an emerging layer of cancer biology and have been implicated in the development and progression of cancers. However, the prognostic significance of lncRNAs in diffuse large-B-cell lymphoma (DLBCL) remains unclear and needs to be systematically investigated. In this study, we obtained and analyzed lncRNA expression profiles in three cohorts of 1043 DLBCL patients by repurposing the publicly available microarray datasets from the Gene Expression Omnibus (GEO) database. In the discovery series of 207 patients, we identified a set of six lncRNAs that was significantly associated with patients’ overall survival (OS) using univariate Cox regression analysis. The six prognostic lncRNAs were combined to form an expression-based six-lncRNA signature which classified patients of the discovery series into the high-risk group and low-risk group with significantly different survival outcome (HR = 2.31, 95% CI = 1.8 to 2.965, p < 0.001). The six-lncRNA signature was further confirmed in the internal testing series and two additional independent datasets with different array platform. Moreover, the prognostic value of the six-lncRNA signature is independent of conventional clinical factors. Functional analysis suggested that six-lncRNA signature may be involved with DLBCL through exerting their regulatory roles in known cancer-related pathways, immune system and signaling molecules interaction. Nature Publishing Group 2016-06-13 /pmc/articles/PMC4904406/ /pubmed/27292966 http://dx.doi.org/10.1038/srep27842 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Sun, Jie
Cheng, Liang
Shi, Hongbo
Zhang, Zhaoyue
Zhao, Hengqiang
Wang, Zhenzhen
Zhou, Meng
A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma
title A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma
title_full A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma
title_fullStr A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma
title_full_unstemmed A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma
title_short A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma
title_sort potential panel of six-long non-coding rna signature to improve survival prediction of diffuse large-b-cell lymphoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4904406/
https://www.ncbi.nlm.nih.gov/pubmed/27292966
http://dx.doi.org/10.1038/srep27842
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