Identification of Prognostic Biomarkers for Bladder Cancer Based on DNA Methylation Profile

• DOI: 10.3389/fcell.2021.817086
• Publication Date: 2022-01-31T04:52:35Z
• Authors: Shumei Zhang; Jingyu Zhang; Qichao Zhang; Yingjian Liang; Youwen Du; Guohua Wang
• Keywords: 0301 basic medicine; Cell and Developmental Biology; 03 medical and health sciences; DNA methylation; QH301-705.5; bladder cancer; protein-protein interaction network; Biology (General); prognostic markers; survival analysis; 3. Good health

Background: DNA methylation is an important epigenetic modification, which plays role in regulating gene expression at the transcriptional level. In tumor research, it has been found that change of leads to abnormality structure and function, can provide early warning for tumorigenesis. Our study aims explore relationship between occurrence development level methylation. Moreover, this will a set prognostic biomarkers, more accurately predict survival health patients after treatment. Methods: Datasets bladder cancer control samples were collected from TCGA database, differential analysis was employed obtain genes with levels normal samples. Then protein-protein interaction network constructed, potential markers further obtained by extracting Hub subnet. Cox proportional hazard regression model used construct screen out cancer, so as reference prognosis monitoring improvement treatment plan. Results: study, we indeed related cancer. Genes could serve biomarkers Through univariate multivariate analysis, concluded FASLG PRKCZ be Patients classified into high or low risk group using two-gene model. By detecting status these genes, evaluate patients. Conclusion: The our indicates tumor-related