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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2020
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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. |
format | Online Article Text |
id | pubmed-6960387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
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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