A microRNA biomarker panel for the non-invasive detection of bladder cancer

Virginia Urquidi, Mandy Netherton, Evan Gomes-Giacoia, Daniel J. Serie, Jeanette Eckel-Passow, Charles J. Rosser, Steve Goodison

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


The development of accurate, non-invasive urinary assays for bladder cancer would greatly facilitate the detection and management of a disease that has a high rate of recurrence and progression. In this study, we employed a discovery and validation strategy to identify microRNA signatures that can perform as a non-invasive bladder cancer diagnostic assay. Expression profiling of 754 human microRNAs (TaqMan low density arrays) was performed on naturally voided urine samples from a cohort of 85 subjects of known bladder disease status (27 with active BCa). A panel of 46 microRNAs significantly associated with bladder cancer were subsequently monitored in an independent cohort of 121 subjects (61 with active BCa) using quantitative real-time PCR (RT-PCR). Multivariable modeling identified a 25-target diagnostic signature that predicted the presence of BCa with an estimated sensitivity of 87% at a specificity of 100% (AUC 0.982). With additional validation, the monitoring of a urinary microRNA biomarker panel could facilitate the non-invasive evaluation of patients under investigation for BCa.

Original languageEnglish (US)
Pages (from-to)86290-86299
Number of pages10
Issue number52
StatePublished - 2016


  • Bladder cancer
  • Diagnostic biomarkers
  • MicroRNA
  • Multiplex
  • Urinalysis

ASJC Scopus subject areas

  • Oncology


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