期刊
JOURNAL OF CELLULAR PHYSIOLOGY
卷 234, 期 10, 页码 18763-18772出版社
WILEY
DOI: 10.1002/jcp.28515
关键词
biomarkers; bladder cancer; Cox proportional hazards regression; methylation; survival analysis
资金
- Project of Excellent Academic Leader of Science and Technology Committee of Shanghai City [17XD1404900]
- Technology Innovation Action Project of Science and Technology Commission of Shanghai City [16411969700]
- Shanghai Key Laboratory of Cell Engineering [14DZ2272300]
- National Natural Science Fund [81502198, 81802515]
- Science and Technology Plan Project of Shenzhen City [JCYJ20170307163313418]
DNA methylation can regulate gene expression and is pivotal in the occurrence and development of bladder cancer. In this study, we analyzed whole-genome DNA methylation on the basis of data from The Cancer Genome Atlas to select epigenetic biomarkers predictive of survival and further understand the molecular mechanisms underlying methylation patterns in bladder cancer. We identified 540 differentially methylated genes between tumor and normal tissues, including a number of independent prognostic factors based on univariate analysis. Genes (MIR6732, SOWAHC, SERPINI1, OR10W1, OR7G3, AIM1, and ZFAND5) were integrated to establish a risk model for prognostic assessment based on multivariate Cox analysis. The methylation of SOWAHC was negatively correlated with its messenger RNA expression, and together these were significantly correlated with prognosis. This study took advantage of high-throughput data mining to provide new bioinformatics evidence and ideas for further study into the pathogenesis and prognosis of bladder cancer.
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