2604003659
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A Novel Multiplex Immunoassay for the Early Detection of Bladder Cancer: Study Protocol for a Prospective, Observational Cohort Study

  • Greg Gin 1,2,   
  • Michael Luu 3,4,   
  • Hideki Furuya 3,5,   
  • Charles J. Rosser 3,6,*

Received: 11 Mar 2026 | Revised: 07 Apr 2026 | Accepted: 14 Apr 2026 | Published: 16 Apr 2026

Abstract

Introduction: Early-stage bladder cancer (BCa) has an excellent 5-year survival rates; however, outcomes decline sharply with disease progression. Established risk factors for BCa include tobacco exposure and certain occupational hazards. The objective of this study is to evaluate the feasibility and practicality of conducting a large-scale BCa screening study targeting individuals at elevated risk. Methods and Analysis: This is a prospective, multicenter, observational feasibility study conducted at Cedars-Sinai Medical Center—one of the largest hospital systems in Southern California—and the VA Long Beach Healthcare System. Between April 2022 and January 2025, 200 individuals at risk for developing BCa were enrolled. The primary endpoint is to assess the feasibility of recruiting and retaining 200 participants for longitudinal follow-up over four years. Participants undergo annual evaluations, including collection of demographics, clinical, and exposure data, as well as urine-based molecular analyses. These data will be incorporated into multivariate model to identify predictors of BCa development. Ethics and Dissemination: Given the rising incidence and mortality associated with BCa, early detection—when the disease remains highly treatable—is critical. The use of robust, non-invasive diagnostic tools in high-risk populations provides a promising strategy toward this goal. Although modest in scale, this study represents the first known effort to leverage lung cancer screening clinics as a platform for identifying individuals at risk for BCa, and the first to apply a multiplex immunoassay within this cohort. Findings from this feasibility study will inform optimal strategies for recruitment, retention, and molecular screening in future large-scale, definitive trials. Strengthens and Limitations: (1) This study is the first prospective feasibility trial to evaluate a multiplex urinary immunoassay for BCa screening within a high-risk population recruited from lung cancer screening clinics, leveraging an existing infrastructure to improve recruitment efficiency; (2) The multicenter, observational design with standardized data collection, centralized laboratory testing, and longitudinal urine sampling enhances methodological rigor and reproducibility; (3) Broad inclusion criteria and consecutive recruitment were used to minimize selection bias and reflect real-world high-risk populations; (4) As a feasibility study, the sample size and event rate are not powered to assess definitive diagnostic accuracy or clinical outcomes; (5) Reliance on self-reported exposure data (e.g., tobacco and occupational history) introduces potential information bias despite standardized questionnaires and trained coordinators. 

References 

  • 1.

    Bray, F.; Laversanne, M.; Sung, H.; et al. Global Cancer Statistics 2022: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2024, 74, 229–263. https://doi.org/10.3322/caac.21834.

  • 2.

    Josephson, D.Y.; Pasin, E.; Stein, J.P. Superficial Bladder Cancer: Part 1. Update on Etiology, Classification and Natural History. Expert Rev. Anticancer Ther. 2006, 6, 1723–1734. https://doi.org/10.1586/14737140.6.12.1723.

  • 3.

    Siegel, R.L.; Kratzer, T.B.; Giaquinto, A.N.; et al. Cancer Statistics, 2025. CA Cancer J. Clin. 2025, 75, 10–45. https://doi.org/10.3322/caac.21871.

  • 4.

    Greenlee, R.T.; Murray, T.; Bolden, S.; et al. Cancer Statistics, 2000. CA Cancer J. Clin. 2000, 50, 7–33. https://doi.org/10.3322/canjclin.50.1.7.

  • 5.

    Brennan, P.; Bogillot, O.; Cordier, S.; et al. Cigarette Smoking and Bladder Cancer in Men: A Pooled Analysis of 11 Case Control Studies. Int. J. Cancer 2000, 86, 289–294. https://doi.org/10.1002/(sici)1097-0215(20000415)86:2<289::aid-ijc21>3.0.co;2-m.

  • 6.

    Marcus, P.M.; Hayes, R.B.; Vineis, P.; et al. Cigarette Smoking, N Acetyltransferase 2 Acetylation Status, and Bladder Cancer Risk: A Case Series Meta Analysis of a Gene Environment Interaction. Cancer Epidemiol. Biomark. Prev. 2000, 9, 461–467.

  • 7.

    Brausi, M.; Witjes, J.A.; Lamm, D.; et al. A Review of Current Guidelines and Best Practice Recommendations for the Management of Nonmuscle Invasive Bladder Cancer by the International Bladder Cancer Group. J. Urol. 2011, 186, 2158–2167. https://doi.org/10.1016/j.juro.2011.07.076.

  • 8.

    Stenzl, A.; Cowan, N.C.; De Santis, M.; et al. Treatment of Muscle Invasive and Metastatic Bladder Cancer: Update of the EAU Guidelines. Eur. Urol. 2011, 59, 1009–1018. https://doi.org/10.1016/j.eururo.2011.03.023.

  • 9.

    Hall, M.C.; Chang, S.S.; Dalbagni, G.; et al. Guideline for the Management of Non Muscle Invasive Bladder Cancer (Stages Ta, T1, and Tis): 2007 Update. J. Urol. 2007, 178, 2314–2330.

  • 10.

    Rosser, C.J.; Liu, L.; Sun, Y.; et al. Bladder Cancer Associated Gene Expression Signatures Identified by Profiling of Exfoliated Urothelia. Cancer Epidemiol. Biomark. Prev. 2009, 18, 444–453. https://doi.org/10.1158/1055-9965.EPI-08-1002.

  • 11.

    Urquidi, V.; Goodison, S.; Cai, Y.; et al. A Candidate Molecular Biomarker Panel for the Detection of Bladder Cancer. Cancer Epidemiol. Biomark. Prev. 2012, 21, 2149–2158. https://doi.org/10.1158/1055-9965.EPI-12-0428.

  • 12.

    Kreunin, P.; Zhao, J.; Rosser, C.; et al. Bladder Cancer Associated Glycoprotein Signatures Revealed by Urinary Proteomic Profiling. J. Proteome Res. 2007, 6, 2631–2639. https://doi.org/10.1021/pr0700807.

  • 13.

    Yang, N.; Feng, S.; Shedden, K.; et al. Urinary Glycoprotein Biomarker Discovery for Bladder Cancer Detection Using LC/MS MS and Label Free Quantification. Clin. Cancer Res. 2011, 17, 3349–3359. https://doi.org/10.1158/1078-0432.CCR-10-3121.

  • 14.

    Shimizu, Y.; Furuya, H.; Bryant Greenwood, P.; et al. A Multiplex Immunoassay for the Non Invasive Detection of Bladder Cancer. J. Transl. Med. 2016, 14, 31. https://doi.org/10.1186/s12967-016-0783-2.

  • 15.

    Goodison, S.; Ogawa, O.; Matsui, Y.; et al. A Multiplex Urinary Immunoassay for Bladder Cancer Detection: Analysis of a Japanese Cohort. J. Transl. Med. 2016, 14, 287. https://doi.org/10.1186/s12967-016-1043-1.

  • 16.

    Rosser, C.J.; Chang, M.; Dai, Y.; et al. Urinary Protein Biomarker Panel for the Detection of Recurrent Bladder Cancer. Cancer Epidemiol. Biomark. Prev. 2014, 23, 1340–1345. https://doi.org/10.1158/1055-9965.EPI-14-0035.

  • 17.

    Goodison, S.; Chang, M.; Dai, Y.; et al. A Multi Analyte Assay for the Non Invasive Detection of Bladder Cancer. PLoS ONE 2012, 7, e47469. https://doi.org/10.1371/journal.pone.0047469.

  • 18.

    Rosser, C.J.; Ross, S.; Chang, M.; et al. Multiplex Protein Signature for the Detection of Bladder Cancer in Voided Urine Samples. J. Urol. 2013, 190, 2257–2262. https://doi.org/10.1016/j.juro.2013.06.011.

  • 19.

    Chen, L.M.; Chang, M.; Dai, Y.; et al. External Validation of a Multiplex Urinary Protein Panel for the Detection of Bladder Cancer in a Multicenter Cohort. Cancer Epidemiol. Biomark. Prev. 2014, 23, 1804–1812. https://doi.org/10.1158/1055-9965.EPI-14-0029.

  • 20.

    Furuya, H.; Tabula, L.; Lee, R.; et al. Analytical Validation of ONCURIA a Multiplex Bead Based Immunoassay for the Non Invasive Bladder Cancer Detection. Pract. Lab. Med. 2020, 22, e00189. https://doi.org/10.1016/j.plabm.2020.e00189.

  • 21.

    Hirasawa, Y.; Pagano, I.; Chen, R.; et al. Diagnostic Performance of Oncuria, a Urinalysis Test for Bladder Cancer. J. Transl. Med. 2021, 19, 141. https://doi.org/10.1186/s12967-021-02796-4.

  • 22.

    Tanaka, S.; Wilkens, L.R.; Marchand, L.L.; et al. Developing a Prediction Model in a Large Case Control Study for the Early Detection of Bladder Cancer. J. Transl. Med. 2025, 24, 49. https://doi.org/10.1186/s12967-025-07511-1.

  • 23.

    Messing, E.M.; Madeb, R.; Young, T.; et al. Long Term Outcome of Hematuria Home Screening for Bladder Cancer in Men. Cancer 2006, 107, 2173–2179. https://doi.org/10.1002/cncr.22224.

  • 24.

    Roobol, M.J.; Bangma, C.H.; el Bouazzaoui, S.; et al. Feasibility Study of Screening for Bladder Cancer with Urinary Molecular Markers (the BLU P Project). Urol. Oncol. 2010, 28, 686–690. https://doi.org/10.1016/j.urolonc.2009.12.002.

  • 25.

    von Elm, E.; Altman, D.G.; Egger, M.; et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies. BMJ 2007, 335, 806–808. https://doi.org/10.1136/bmj.39335.541782.AD.

  • 26.

    Harris, P.A.; Taylor, R.; Thielke, R.; et al. Research Electronic Data Capture (REDCap)—A Metadata Driven Methodology and Workflow Process for Providing Translational Research Informatics Support. J. Biomed. Inform. 2009, 42, 377–381. https://doi.org/10.1016/j.jbi.2008.08.010.

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Gin, G.; Luu, M.; Furuya, H.; Rosser, C. J. A Novel Multiplex Immunoassay for the Early Detection of Bladder Cancer: Study Protocol for a Prospective, Observational Cohort Study. Translational Insights 2026, 1 (1), 4.
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