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Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988805/ https://www.ncbi.nlm.nih.gov/pubmed/32039169 http://dx.doi.org/10.3389/fbioe.2019.00365 |
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author | Gu, Yue Ci, Ce Zhang, Xingda Su, Mu Lv, Wenhua Chen, Chuangeng Liu, Hui Zhang, Dongwei Zhang, Shumei Zhang, Yan |
author_facet | Gu, Yue Ci, Ce Zhang, Xingda Su, Mu Lv, Wenhua Chen, Chuangeng Liu, Hui Zhang, Dongwei Zhang, Shumei Zhang, Yan |
author_sort | Gu, Yue |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6988805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69888052020-02-07 Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer Gu, Yue Ci, Ce Zhang, Xingda Su, Mu Lv, Wenhua Chen, Chuangeng Liu, Hui Zhang, Dongwei Zhang, Shumei Zhang, Yan Front Bioeng Biotechnol Bioengineering and Biotechnology 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. Frontiers Media S.A. 2019-11-26 /pmc/articles/PMC6988805/ /pubmed/32039169 http://dx.doi.org/10.3389/fbioe.2019.00365 Text en Copyright © 2019 Gu, Ci, Zhang, Su, Lv, Chen, Liu, Zhang, Zhang and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Gu, Yue Ci, Ce Zhang, Xingda Su, Mu Lv, Wenhua Chen, Chuangeng Liu, Hui Zhang, Dongwei Zhang, Shumei Zhang, Yan Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer |
title | Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer |
title_full | Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer |
title_fullStr | Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer |
title_full_unstemmed | Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer |
title_short | Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer |
title_sort | prediction of circrnas based on the dna methylation-mediated feature sponge function in breast cancer |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988805/ https://www.ncbi.nlm.nih.gov/pubmed/32039169 http://dx.doi.org/10.3389/fbioe.2019.00365 |
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