Prognostic value of differentially methylated gene profiles in bladder cancer |
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| Authors: | Zeyu Yang Anwei Liu Qiao Xiong Yongping Xue Fei Liu Shuxiong Zeng Zhensheng Zhang Yunfei li Yinghao Sun Chuanliang Xu |
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| Institution: | 1. Department of Urology, Changhai Hospital Affiliated with Second Military Medical University, Shanghai, China;2. Department of Urology, Changhai Hospital Affiliated with Second Military Medical University, Shanghai, China
Yang, Liu, and Xiong have contributed equally to this work.;3. Department of Urology, The Thrid Affiliated Hospital of Shenzhen University, Shenzhen, China |
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| Abstract: | 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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| Keywords: | biomarkers bladder cancer Cox proportional hazards regression methylation survival analysis |
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