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Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer

  • Yue Gu
  • , Ce Ci
  • , Xingda Zhang
  • , Mu Su
  • , Wenhua Lv
  • , Chuangeng Chen
  • , Hui Liu
  • , Dongwei Zhang
  • , Shumei Zhang*
  • , Yan Zhang
  • *Corresponding author for this work
  • Harbin Medical University
  • School of Life Science and Technology, Harbin Institute of Technology
  • The Second Affiliated Hospital of Harbin Medical University
  • Northeast Forestry University
  • Guangzhou Medical College

Research output: Contribution to journalArticlepeer-review

Abstract

Several studies have found that DNA methylation is associated with transcriptional regulation and affect sponge regulation of non-coding RNAs in cancer. The integration of circRNA, miRNA, DNA methylation and gene expression data to identify sponge circRNAs is important for revealing the role of DNA methylation-mediated regulation of sponge circRNAs in cancer progression. We established a DNA methylation-mediated circRNA crosstalk network by integrating gene expression, DNA methylation and non-coding RNA data of breast cancer in TCGA. Four modules (26 candidate circRNAs) were mined. Next, 10 DNA methylation-mediated sponge circRNAs (sp_circRNAs) and five sponge driver genes (sp_driver genes) in breast cancer were identified in the CMD network using a computational process. Among the identified genes, ERBB2 was associated with six sponge circRNAs, which illustrates its better sponge regulatory function. Survival analysis showed that DNA methylations of 10 sponge circRNA host genes are potential prognostic biomarkers in the TCGA dataset (p = 0.0239) and GSE78754 dataset (p = 0.0377). In addition, the DNA methylation of two sponge circRNA host genes showed a significant negative correlation with their driver gene expressions. We developed a strategy to predict sponge circRNAs by DNA methylation mediated with playing the role of regulating breast cancer sponge driver genes.

Original languageEnglish
Article number365
JournalFrontiers in Bioengineering and Biotechnology
Volume7
DOIs
StatePublished - 26 Nov 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • DNA methylation
  • breast cancer
  • circular RNA
  • miRNA sponge
  • network

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