Usage Information
Abstract
BACKGROUND. Current diagnosis and surveillance of bladder cancer relies on cystoscopy which is invasive and user dependent. The urine mRNA panel, uRNAp, measures expression of 3 genes for identification of bladder cancer. Here we report validation of uRNAp for patients undergoing initial work-up for suspected bladder cancer and surveillance for bladder cancer. METHODS. Urine specimens were prospectively collected prior to cystoscopy at two health care systems from patients without (detection cohort) or with (surveillance cohort) a history of bladder cancer. RNA was isolated from urine sediment for RT-qPCR to determine ROBO1, CRH, and IGF2 expression and calculate the uRNAp bladder cancer probability score. RESULTS. In the detection cohort, 547 samples were collected from 529 patients. There were 123 new diagnoses of bladder cancer in the detection cohort and uRNAp demonstrated 98% sensitivity and 51% specificity for identification of bladder cancer. In the surveillance cohort, 1543 samples were collected from 447 patients with 286 recurrences. uRNAp demonstrated 94% overall sensitivity with 43% specificity and 99% sensitivity for high-grade recurrence. The receiver operating characteristic area under the curve was 0.92 in the detection and 0.81 in the surveillance cohort. uRNAp scores significantly increased with tumor size and grade. CONCLUSIONS. Prospective validation of uRNAp demonstrated a strong potential clinical utility as a non-invasive adjunct to cystoscopy for management of bladder cancer. uRNAp may be a useful triage tool to defer or expedite cystoscopy for patients undergoing detection or surveillance of bladder cancer. FUNDING. Department of Veterans Affairs BLR&D Merit Review I01 BX004962 to JCL.
Authors
Kathleen E. Mach, Zachary Kornberg, Eugene Shkolyar, Jin Long, Timothy J. Lee, Vinh La, Ihna Yoo, Gabriela Rodriguez, Alan E. Thong, Kris B. Prado, Jay B. Shah, John T. Leppert, Eila C. Skinner, Joseph C. Liao
Usage data is cumulative from April 2026 through May 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 619 | 0 |
| 281 | 0 | |
| Figure | 4 | 0 |
| Table | 3 | 0 |
| Supplemental data | 61 | 0 |
| Citation downloads | 78 | 0 |
| Totals | 1,046 | 0 |
| Total Views | 1,046 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)