Open Access

Detecting the long non‑coding RNA signature related to spinal cord ependymal tumor subtype using a genome‑wide methylome analysis approach

  • Authors:
    • Li Wang
    • Chi Zhang
    • Yujie Xie
    • Wei Jiang
    • Juan Huang
    • Shengmin Guo
    • Fangyuan Xu
    • Jianxiong Wang
  • View Affiliations

  • Published online on: June 18, 2019     https://doi.org/10.3892/mmr.2019.10388
  • Pages: 1531-1540
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

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.
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August-2019
Volume 20 Issue 2

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Spandidos Publications style
Wang L, Zhang C, Xie Y, Jiang W, Huang J, Guo S, Xu F and Wang J: Detecting the long non‑coding RNA signature related to spinal cord ependymal tumor subtype using a genome‑wide methylome analysis approach. Mol Med Rep 20: 1531-1540, 2019.
APA
Wang, L., Zhang, C., Xie, Y., Jiang, W., Huang, J., Guo, S. ... Wang, J. (2019). Detecting the long non‑coding RNA signature related to spinal cord ependymal tumor subtype using a genome‑wide methylome analysis approach. Molecular Medicine Reports, 20, 1531-1540. https://doi.org/10.3892/mmr.2019.10388
MLA
Wang, L., Zhang, C., Xie, Y., Jiang, W., Huang, J., Guo, S., Xu, F., Wang, J."Detecting the long non‑coding RNA signature related to spinal cord ependymal tumor subtype using a genome‑wide methylome analysis approach". Molecular Medicine Reports 20.2 (2019): 1531-1540.
Chicago
Wang, L., Zhang, C., Xie, Y., Jiang, W., Huang, J., Guo, S., Xu, F., Wang, J."Detecting the long non‑coding RNA signature related to spinal cord ependymal tumor subtype using a genome‑wide methylome analysis approach". Molecular Medicine Reports 20, no. 2 (2019): 1531-1540. https://doi.org/10.3892/mmr.2019.10388