Validation of Urine-based Gene Classifiers for Detecting Bladder Cancer in a Chinese Study.

ABSTRACT: Background: Current standard methods used to detect and monitor bladder cancer (BC) are invasive or have low sensitivity. We have previously reported in an international European study four non-invasive tests for BC diagnosis based on the gene expression patterns of urine. Objective: to validate the tests in an independent Asian cohort. Design, setting and participants: Prospective blinded study in which consecutive voided urine samples from BC patients and controls (n=520) were collected in the Fudan University Shanghai Cancer Center from 2014-2016. Gene expression values were quantified using TaqMan Arrays. The same cut-off as previously reported for discrimination between tumours and controls was used in this validation study. Results and limitations: Finally

SUBMITTER: Han C 

PROVIDER: S-EPMC6134826 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature