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Prediction of overall survival time in patients with colon adenocarcinoma using DNA methylation profiling of long non-coding RNAs

Long non-coding RNAs (lncRNAs) are a subgroup of RNAs able to regulate gene expression at the epigenetic level, and are therefore central to the regulation of numerous biological processes and the progression of multiple cancer types. However, lncRNAs have not been identified to considerably influen...

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Autores principales: Zhang, Qiongying, Lin, Zhuo, Zhang, Haiyan, Bao, Xiaodong, Zhang, Huxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960387/
https://www.ncbi.nlm.nih.gov/pubmed/32002035
http://dx.doi.org/10.3892/ol.2019.11236
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author Zhang, Qiongying
Lin, Zhuo
Zhang, Haiyan
Bao, Xiaodong
Zhang, Huxiang
author_facet Zhang, Qiongying
Lin, Zhuo
Zhang, Haiyan
Bao, Xiaodong
Zhang, Huxiang
author_sort Zhang, Qiongying
collection PubMed
description Long non-coding RNAs (lncRNAs) are a subgroup of RNAs able to regulate gene expression at the epigenetic level, and are therefore central to the regulation of numerous biological processes and the progression of multiple cancer types. However, lncRNAs have not been identified to considerably influence overall survival (OS) outcome in numerous different types of cancer. The majority of studies investigating the association between lncRNAs and epigenetic regulation have focused on their altered expression levels in cancerous cells, and few studies have focused on determining the correlation between lncRNAs and OS time. In the present study, comprehensive lncRNA expression analysis was performed on a cohort of patients diagnosed with colon adenocarcinoma (COAD) using the least absolute shrinkage and selection operator method (LASSO). Subsequently, the construction of a prognostic methylation-based predictive system was performed based on the results of LASSO analysis. Functional enrichment analysis of lncRNA co-expression genes was also performed. According to the results of the present study, the classifier was able to significantly predict the prognosis of patients with COAD, and the investigation of the relevant elucidated genes further revealed the mechanism of COAD pathogenesis.
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spelling pubmed-69603872020-01-30 Prediction of overall survival time in patients with colon adenocarcinoma using DNA methylation profiling of long non-coding RNAs Zhang, Qiongying Lin, Zhuo Zhang, Haiyan Bao, Xiaodong Zhang, Huxiang Oncol Lett Articles Long non-coding RNAs (lncRNAs) are a subgroup of RNAs able to regulate gene expression at the epigenetic level, and are therefore central to the regulation of numerous biological processes and the progression of multiple cancer types. However, lncRNAs have not been identified to considerably influence overall survival (OS) outcome in numerous different types of cancer. The majority of studies investigating the association between lncRNAs and epigenetic regulation have focused on their altered expression levels in cancerous cells, and few studies have focused on determining the correlation between lncRNAs and OS time. In the present study, comprehensive lncRNA expression analysis was performed on a cohort of patients diagnosed with colon adenocarcinoma (COAD) using the least absolute shrinkage and selection operator method (LASSO). Subsequently, the construction of a prognostic methylation-based predictive system was performed based on the results of LASSO analysis. Functional enrichment analysis of lncRNA co-expression genes was also performed. According to the results of the present study, the classifier was able to significantly predict the prognosis of patients with COAD, and the investigation of the relevant elucidated genes further revealed the mechanism of COAD pathogenesis. D.A. Spandidos 2020-02 2019-12-20 /pmc/articles/PMC6960387/ /pubmed/32002035 http://dx.doi.org/10.3892/ol.2019.11236 Text en Copyright: © Zhang 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
Zhang, Qiongying
Lin, Zhuo
Zhang, Haiyan
Bao, Xiaodong
Zhang, Huxiang
Prediction of overall survival time in patients with colon adenocarcinoma using DNA methylation profiling of long non-coding RNAs
title Prediction of overall survival time in patients with colon adenocarcinoma using DNA methylation profiling of long non-coding RNAs
title_full Prediction of overall survival time in patients with colon adenocarcinoma using DNA methylation profiling of long non-coding RNAs
title_fullStr Prediction of overall survival time in patients with colon adenocarcinoma using DNA methylation profiling of long non-coding RNAs
title_full_unstemmed Prediction of overall survival time in patients with colon adenocarcinoma using DNA methylation profiling of long non-coding RNAs
title_short Prediction of overall survival time in patients with colon adenocarcinoma using DNA methylation profiling of long non-coding RNAs
title_sort prediction of overall survival time in patients with colon adenocarcinoma using dna methylation profiling of long non-coding rnas
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960387/
https://www.ncbi.nlm.nih.gov/pubmed/32002035
http://dx.doi.org/10.3892/ol.2019.11236
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