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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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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. |
format | Online Article Text |
id | pubmed-5955136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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