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A long non-coding RNA signature for predicting survival in patients with colorectal cancer

Dysregulation of long non-coding RNA (lncRNA) plays important roles in cancer development and progression. In this work, we attempted to develop a lncRNA signature to improve prognosis prediction of colorectal cancer. A comprehensive analysis for the lncRNA expression and corresponding clinical info...

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Detalles Bibliográficos
Autores principales: Wang, Yi-Lin, Shao, Jun, Wu, Xiaohong, Li, Tong, Xu, Ming, Shi, Debing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955136/
https://www.ncbi.nlm.nih.gov/pubmed/29774095
http://dx.doi.org/10.18632/oncotarget.23431
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author Wang, Yi-Lin
Shao, Jun
Wu, Xiaohong
Li, Tong
Xu, Ming
Shi, Debing
author_facet Wang, Yi-Lin
Shao, Jun
Wu, Xiaohong
Li, Tong
Xu, Ming
Shi, Debing
author_sort Wang, Yi-Lin
collection PubMed
description Dysregulation of long non-coding RNA (lncRNA) plays important roles in cancer development and progression. In this work, we attempted to develop a lncRNA signature to improve prognosis prediction of colorectal cancer. A comprehensive analysis for the lncRNA expression and corresponding clinical information of 344 colorectal patients has been performed based on the data from The Cancer Genome Atlas (TCGA). We randomly divided TCGA data into a training set (n = 172) and a testing set (n = 172). A four-lncRNA signature has been established which was significantly associated with the overall survival of colorectal cancer patients. Based on the four-lncRNA signature, the training set can be classified into high-risk and low-risk groups with significantly different survival. The result can be further validated in the testing dataset and another independent dataset. Further analyses suggested that the prognostic power of the four-lncRNA signature was independent of other clinical variables. The identification of lncRNA signature indicated that lncRNAs could be novel independent biomarkers for predicting the survival in patients with colorectal cancer.
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spelling pubmed-59551362018-05-17 A long non-coding RNA signature for predicting survival in patients with colorectal cancer Wang, Yi-Lin Shao, Jun Wu, Xiaohong Li, Tong Xu, Ming Shi, Debing Oncotarget Research Paper Dysregulation of long non-coding RNA (lncRNA) plays important roles in cancer development and progression. In this work, we attempted to develop a lncRNA signature to improve prognosis prediction of colorectal cancer. A comprehensive analysis for the lncRNA expression and corresponding clinical information of 344 colorectal patients has been performed based on the data from The Cancer Genome Atlas (TCGA). We randomly divided TCGA data into a training set (n = 172) and a testing set (n = 172). A four-lncRNA signature has been established which was significantly associated with the overall survival of colorectal cancer patients. Based on the four-lncRNA signature, the training set can be classified into high-risk and low-risk groups with significantly different survival. The result can be further validated in the testing dataset and another independent dataset. Further analyses suggested that the prognostic power of the four-lncRNA signature was independent of other clinical variables. The identification of lncRNA signature indicated that lncRNAs could be novel independent biomarkers for predicting the survival in patients with colorectal cancer. Impact Journals LLC 2017-12-19 /pmc/articles/PMC5955136/ /pubmed/29774095 http://dx.doi.org/10.18632/oncotarget.23431 Text en Copyright: © 2018 Wang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Wang, Yi-Lin
Shao, Jun
Wu, Xiaohong
Li, Tong
Xu, Ming
Shi, Debing
A long non-coding RNA signature for predicting survival in patients with colorectal cancer
title A long non-coding RNA signature for predicting survival in patients with colorectal cancer
title_full A long non-coding RNA signature for predicting survival in patients with colorectal cancer
title_fullStr A long non-coding RNA signature for predicting survival in patients with colorectal cancer
title_full_unstemmed A long non-coding RNA signature for predicting survival in patients with colorectal cancer
title_short A long non-coding RNA signature for predicting survival in patients with colorectal cancer
title_sort long non-coding rna signature for predicting survival in patients with colorectal cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955136/
https://www.ncbi.nlm.nih.gov/pubmed/29774095
http://dx.doi.org/10.18632/oncotarget.23431
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