Scholarlink

<p>Glioblastoma multiforme (GBM) is one of the most common cancers among malignant tumors, and extensive evidence suggests that the prognosis of various human cancers is associated with DNA methylation. Therefore, we analyzed potential GBM prognostic biomarkers by combining GBM methylation sequencing data and transcriptome sequencing data. Biostatistical analysis of the expression of three RNA types (long non-coding RNA, microRNA, and mRNA) from The Cancer Genome Atlas (TCGA) was performed to determine the correlation between NACAD and GBM prognosis. Additionally, we predicted and validated a competitive endogenous RNA (ceRNA) regulatory network associated with epigenetic DNA methylation modifications. The ceRNA regulatory network (DCTN1-AS1–hsa-let-7a-5p–NACAD) was found to be related to overall survival (OS) and disease-specific survival (DSS) of GBM. Furthermore, we identified NACAD as an independent prognostic factor for both GBM OS and DSS. In summary, comprehensive analysis of methylation and transcriptome data led to the identification of genes and pathways in different GBM subtypes, highlighting prognostic genes and ceRNA regulatory networks, and proposing potential candidates.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Epigenetic and transcriptomic analysis revealed ceRNA regulatory network in glioblastoma multiforme

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月9日

查看全文
  • Zhenghui Li,
  • Yanqing Li,
  • Jenna Z. Liang,
  • Tianxiang Geng,
  • Jing Chen,
  • Yangyang Yuan,
  • Yufang Sui,
  • Wanhong Zhang,
  • Qian Chen,
  • Guowei Tan,
  • Qiao Shan

摘要

Glioblastoma multiforme (GBM) is one of the most common cancers among malignant tumors, and extensive evidence suggests that the prognosis of various human cancers is associated with DNA methylation. Therefore, we analyzed potential GBM prognostic biomarkers by combining GBM methylation sequencing data and transcriptome sequencing data. Biostatistical analysis of the expression of three RNA types (long non-coding RNA, microRNA, and mRNA) from The Cancer Genome Atlas (TCGA) was performed to determine the correlation between NACAD and GBM prognosis. Additionally, we predicted and validated a competitive endogenous RNA (ceRNA) regulatory network associated with epigenetic DNA methylation modifications. The ceRNA regulatory network (DCTN1-AS1–hsa-let-7a-5p–NACAD) was found to be related to overall survival (OS) and disease-specific survival (DSS) of GBM. Furthermore, we identified NACAD as an independent prognostic factor for both GBM OS and DSS. In summary, comprehensive analysis of methylation and transcriptome data led to the identification of genes and pathways in different GBM subtypes, highlighting prognostic genes and ceRNA regulatory networks, and proposing potential candidates.