A urinary microRNA signature can predict the presence of bladder urothelial carcinoma in patients undergoing surveillance.

ABSTRACT:

Background

The objective of this study was to determine whether microRNA (miRNA) profiling of urine could identify the presence of urothelial carcinoma of the bladder (UCB) and to compare its performance characteristics to that of cystoscopy.

Methods

In the discovery cohort we screened 81 patients, which included 21 benign controls, 30 non-recurrers and 30 patients with active cancer (recurrers), using a panel of 12 miRNAs. Data analysis was performed using a machine learning approach of a Support Vector Machine classifier with a Student's t-test feature selection procedure. This was trained using a three-fold cross validation approach and performance was measured using the area under the receiver operator characteristic curve (AUC). The miRNA signature was validated in an i

SUBMITTER: Sapre N 

PROVIDER: S-EPMC4815774 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature