Urine cell-based DNA methylation classifier for monitoring bladder cancer.

ABSTRACT:

Background

Current standard methods used to detect and monitor bladder cancer (BC) are invasive or have low sensitivity. This study aimed to develop a urine methylation biomarker classifier for BC monitoring and validate this classifier in patients in follow-up for bladder cancer (PFBC).

Methods

Voided urine samples (N = 725) from BC patients, controls, and PFBC were prospectively collected in four centers. Finally, 626 urine samples were available for analysis. DNA was extracted from the urinary cells and bisulfite modificated, and methylation status was analyzed using pyrosequencing. Cytology was available from a subset of patients (N = 399). In the discovery phase, seven selected genes from the literature (CDH13, CFTR, NID2, SALL3

SUBMITTER: van der Heijden AG 

PROVIDER: S-EPMC5975622 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature