Prognostic value of differentially methylated gene profiles in bladder cancer.

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.

journal_name

J Cell Physiol

authors

Yang Z,Liu A,Xiong Q,Xue Y,Liu F,Zeng S,Zhang Z,Li Y,Sun Y,Xu C

doi

10.1002/jcp.28515

subject

Has Abstract

pub_date

2019-08-01 00:00:00

pages

18763-18772

issue

10

eissn

0021-9541

issn

1097-4652

journal_volume

234

pub_type

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