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Detecting the long non-coding RNA signature related to spinal cord ependymal tumor subtype using a genome-wide methylome analysis approach
Ependymoma is a type of intramedullary tumor that tends to occur in the adult spinal cord. Ependymoma affects the nervous system and has significant impacts on the quality of life, and it may lead to mortality. Previous studies have performed molecular classification of spinal cord ependymal tumors...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625447/ https://www.ncbi.nlm.nih.gov/pubmed/31257484 http://dx.doi.org/10.3892/mmr.2019.10388 |
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author | Wang, Li Zhang, Chi Xie, Yujie Jiang, Wei Huang, Juan Guo, Shengmin Xu, Fangyuan Wang, Jianxiong |
author_facet | Wang, Li Zhang, Chi Xie, Yujie Jiang, Wei Huang, Juan Guo, Shengmin Xu, Fangyuan Wang, Jianxiong |
author_sort | Wang, Li |
collection | PubMed |
description | Ependymoma is a type of intramedullary tumor that tends to occur in the adult spinal cord. Ependymoma affects the nervous system and has significant impacts on the quality of life, and it may lead to mortality. Previous studies have performed molecular classification of spinal cord ependymal tumors at the DNA methylation level. However, the DNA methylation status of non-coding regions in spinal cord ependymal tumors remains unclear. In the present study, a genome-wide methylome method was used to characterize the DNA methylation landscape of long non-coding RNAs (lncRNAs) in spinal cord ependymal tumor samples. The present study identified lncRNA signatures associated with tumor subtypes based on the methylation status of lncRNA promoters. The present results suggested that the identified lncRNA signatures were associated with cancer- or nervous system-related protein-coding genes. The majority of the identified lncRNAs was hypomethylated, and may have a role in spinal cord development. The present findings suggested that detection of tumor subtype-specific lncRNAs may facilitate the identification of novel diagnostic and therapeutic strategies to treat patients with spinal cord ependymal tumor. |
format | Online Article Text |
id | pubmed-6625447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-66254472019-07-31 Detecting the long non-coding RNA signature related to spinal cord ependymal tumor subtype using a genome-wide methylome analysis approach Wang, Li Zhang, Chi Xie, Yujie Jiang, Wei Huang, Juan Guo, Shengmin Xu, Fangyuan Wang, Jianxiong Mol Med Rep Articles Ependymoma is a type of intramedullary tumor that tends to occur in the adult spinal cord. Ependymoma affects the nervous system and has significant impacts on the quality of life, and it may lead to mortality. Previous studies have performed molecular classification of spinal cord ependymal tumors at the DNA methylation level. However, the DNA methylation status of non-coding regions in spinal cord ependymal tumors remains unclear. In the present study, a genome-wide methylome method was used to characterize the DNA methylation landscape of long non-coding RNAs (lncRNAs) in spinal cord ependymal tumor samples. The present study identified lncRNA signatures associated with tumor subtypes based on the methylation status of lncRNA promoters. The present results suggested that the identified lncRNA signatures were associated with cancer- or nervous system-related protein-coding genes. The majority of the identified lncRNAs was hypomethylated, and may have a role in spinal cord development. The present findings suggested that detection of tumor subtype-specific lncRNAs may facilitate the identification of novel diagnostic and therapeutic strategies to treat patients with spinal cord ependymal tumor. D.A. Spandidos 2019-08 2019-06-18 /pmc/articles/PMC6625447/ /pubmed/31257484 http://dx.doi.org/10.3892/mmr.2019.10388 Text en Copyright: © Wang 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 Wang, Li Zhang, Chi Xie, Yujie Jiang, Wei Huang, Juan Guo, Shengmin Xu, Fangyuan Wang, Jianxiong Detecting the long non-coding RNA signature related to spinal cord ependymal tumor subtype using a genome-wide methylome analysis approach |
title | Detecting the long non-coding RNA signature related to spinal cord ependymal tumor subtype using a genome-wide methylome analysis approach |
title_full | Detecting the long non-coding RNA signature related to spinal cord ependymal tumor subtype using a genome-wide methylome analysis approach |
title_fullStr | Detecting the long non-coding RNA signature related to spinal cord ependymal tumor subtype using a genome-wide methylome analysis approach |
title_full_unstemmed | Detecting the long non-coding RNA signature related to spinal cord ependymal tumor subtype using a genome-wide methylome analysis approach |
title_short | Detecting the long non-coding RNA signature related to spinal cord ependymal tumor subtype using a genome-wide methylome analysis approach |
title_sort | detecting the long non-coding rna signature related to spinal cord ependymal tumor subtype using a genome-wide methylome analysis approach |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625447/ https://www.ncbi.nlm.nih.gov/pubmed/31257484 http://dx.doi.org/10.3892/mmr.2019.10388 |
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