Detection of bladder cancer in patients with microscopic hematuria using Oncuria-Detect: results of a prospective, multicenter international study

BACKGROUND: Microscopic hematuria occurs in up to 10% of the general population and initiates costly evaluation to ensure no bladder cancer exists. Oncuria-Detect is a 10-plex immunoassay that detects de novo bladder cancer by generating a protein biomarker signature from a single voided urine sample. This report details the analysis of our prospective study that compares the diagnostic performance of the multiplex Oncuria-Detect assay to that of the single-analyte (i.e., NMP22) BladderChek™ urine assay and urine cytology for identifying bladder/urothelial cancer in patients with microscopic hematuria. METHODS: From September 2018 through July 2025, 9 medical facilities in the US and Japan prospectively enrolled 321 participants of whom 292 were deemed eligible. The bladder cancer diagnostic reference standard was cystoscopy with biopsy. Pre-cystoscopy, patients provided a urine sample for analysis by Oncuria-Detect and BladderChek™ (analyzed in a blinded manner) as well as urine cytology. RESULTS: Bladder cancer was diagnosed in 22 patients (7.5%). The Oncuria-Detect assay had the following performance characteristics 82.0% sensitivity and 97.5% negative predictive value (NPV) compared to BladderChek™ (9.3% sensitivity and 95.4% NPV) and cytology (44.8% sensitivity and 97.2% NPV). Oncuria-Detect displayed favorable sensitivity for identifying early- and late-stage cancer. Oncuria-Detect had a favourable performance in detecting high-grade and MIBC (i.e., aggressive cancers); high-grade sensitivity was 93.5% (95%CI: 0.783-1.000) and MIBC sensitivity was 100.0% (95%CI: 1.000-1.000) compared to BladderChek™ high-grade sensitivity of 13.8% (95%CI: 0.000-0.370) and MIBC sensitivity was 0.0% (95%CI: 0.000-0.000) and cytology high-grade sensitivity was 60.1% (95%CI: 0.333-0.852) and MIBC sensitivity was 73.9% (95%CI: 0.000-1.000). CONCLUSIONS: In this analysis of an international prospective trial, Oncuria-Detect performed favorably in the non-invasive evaluation of bladder cancer presence in patients presenting with microscopic hematuria. CLINICAL TRIAL NUMBER: Clinicaltrials.gov NCT03193541.

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Journal
Journal of Translational Medicine
Published
2026-05-09
DOI
https://doi.org/10.1186/s12967-026-08245-4
Primary Topic
Bladder and Urothelial Cancer Treatments
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article
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article

Detection of bladder cancer in patients with microscopic hematuria using Oncuria-Detect: results of a prospective, multicenter international study

Ariel Moradzadeh, Menghan Liu, E Messing, Garry Peers et al.
Journal of Translational Medicine
Bladder and Urothelial Cancer Treatments
article

Detection of bladder cancer in patients with microscopic hematuria using Oncuria-Detect: results of a prospective, multicenter international study

Ariel Moradzadeh, Menghan Liu, E Messing, Garry Peers, Hideki Furuya, Andrew Chen, Arash Akhavein, Michael Luu, Charles J. Rosser, Greg Gin, Howard Kim, Sergei Tikhonekov, Yair Lotan, Yingye Zheng, Arnold I. Chin, Ian Pagano, Zhen Zhang, Sunao Tanaka, Satoshi Anai, Makito Miyake, Michael Ahdoot
article en

Abstract

BACKGROUND: Microscopic hematuria occurs in up to 10% of the general population and initiates costly evaluation to ensure no bladder cancer exists. Oncuria-Detect is a 10-plex immunoassay that detects de novo bladder cancer by generating a protein biomarker signature from a single voided urine sample. This report details the analysis of our prospective study that compares the diagnostic performance of the multiplex Oncuria-Detect assay to that of the single-analyte (i.e., NMP22) BladderChek™ urine assay and urine cytology for identifying bladder/urothelial cancer in patients with microscopic hematuria. METHODS: From September 2018 through July 2025, 9 medical facilities in the US and Japan prospectively enrolled 321 participants of whom 292 were deemed eligible. The bladder cancer diagnostic reference standard was cystoscopy with biopsy. Pre-cystoscopy, patients provided a urine sample for analysis by Oncuria-Detect and BladderChek™ (analyzed in a blinded manner) as well as urine cytology. RESULTS: Bladder cancer was diagnosed in 22 patients (7.5%). The Oncuria-Detect assay had the following performance characteristics 82.0% sensitivity and 97.5% negative predictive value (NPV) compared to BladderChek™ (9.3% sensitivity and 95.4% NPV) and cytology (44.8% sensitivity and 97.2% NPV). Oncuria-Detect displayed favorable sensitivity for identifying early- and late-stage cancer. Oncuria-Detect had a favourable performance in detecting high-grade and MIBC (i.e., aggressive cancers); high-grade sensitivity was 93.5% (95%CI: 0.783-1.000) and MIBC sensitivity was 100.0% (95%CI: 1.000-1.000) compared to BladderChek™ high-grade sensitivity of 13.8% (95%CI: 0.000-0.370) and MIBC sensitivity was 0.0% (95%CI: 0.000-0.000) and cytology high-grade sensitivity was 60.1% (95%CI: 0.333-0.852) and MIBC sensitivity was 73.9% (95%CI: 0.000-1.000). CONCLUSIONS: In this analysis of an international prospective trial, Oncuria-Detect performed favorably in the non-invasive evaluation of bladder cancer presence in patients presenting with microscopic hematuria. CLINICAL TRIAL NUMBER: Clinicaltrials.gov NCT03193541.

Journal of Translational Medicine
University of Hawaiʻi at Mānoa (US), Cedars-Sinai Medical Center (US), Hawaii Department of Health (US), University of Hawaii System (US), Johns Hopkins University (US), University of California, Los Angeles (US), Johns Hopkins Medicine (US), Community Hospital of Long Beach (US), University of Rochester Medical Center (US), Fred Hutch Cancer Center (US), Cancer Center of Hawaii (US), VA Pacific Islands Health Care System (US), Long Beach Medical Center (US), Nonagen Bioscience (United States) (US), University of Hawaii Cancer Center, California State University, Long Beach (US), Nara Medical University (JP), The University of Texas Southwestern Medical Center (US)
Partnerships for the goals
Openalex Percentile: Top 5%
Bladder and Urothelial Cancer Treatments
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