Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
Integrated analysis of genome-wide DNA methylation, gene expression and protein expression profiles in molecular subtypes of WHO II-IV gliomas
First author：Zhi-Liang Wang, Chuan-Bao Zhang
Corresponding author：Tao Jiang
essential_information
- Person in charge：Zhi-Liang Wang, Chuan-Bao Zhang
- Data Sources： OTHERS
- Number of papers：OTHERS20190304
- Published time：2015-10-26
2015-10-26
Published articles
Journal：J Exp Clin Cancer Res
Publication type: Research
IF(IF): 5.646
PMID: 26502731 Link To Pubmed Full text Download
Background And Purpose
Method
Previous studies evaluated molecular genetic differences through comparing different grades of glioma. Here, we integrated DNA methylation, RNA sequencing and protein expression data sets of WHO grade II to IV gliomas, to screen for dysregulated genes in subtypes during malignant progression of glioma.
Conclusion
To our knowledge, this was the first study that focused on subtypes to detect dysregulated genes that could contribute to malignant progression. Furthermore, the differentially expressed genes profile may lead to the identification of new therapeutic targets for glioma patients.
Main results
We propose a list of universal genes (UG) as novel glioma biomarkers: 977 up-regulated genes and 114 down-regulated genes, who involved in cell cycle, Wnt receptor signaling pathway and fatty acid metabolic process. Poorer survival was associated significantly with the high expression of 977 up-regulated genes and low expression of 114 down-regulated in UG (P <0.001).