Play all audios:
ABSTRACT BACKGROUND Non-invasive urine-based biomarkers can potentially improve current diagnostic and monitoring protocols for bladder cancer (BC). Here we assess the performance of earlier
published biomarker panels for BC detection (BC-116) and monitoring of recurrence (BC-106) in combination with cytology, in two prospectively collected patient cohorts. METHODS Of the 602
patients screened for BC, 551 were found eligible. For the primary setting, 73 patients diagnosed with primary BC (_n_ = 27) and benign urological disorders, including patients with
macroscopic haematuria, cystitis and/or nephrolithiasis (_n_ = 46) were included. In total, 478 patients under surveillance were additionally considered (83 BC recurrences; 395 negative for
recurrence). Urine samples were analysed with capillary electrophoresis-mass spectrometry. The biomarker score was estimated via support vector machine-based software. RESULTS Validation of
BC-116 biomarker panel resulted in 89% sensitivity and 67% specificity (AUCBC-116 = 0.82). A diagnostic score based on cytology and BC-116 resulted in good (AUCNom116 = 0.85) but not
significantly better performance (_P_ = 0.5672). A diagnostic score including BC-106 and cytology was evaluated (AUCNom106 = 0.82), significantly outperforming both cytology (AUCcyt = 0.72;
_P_ = 0.0022) and BC-106 (AUCBC-106 = 0.67; _P_ = 0.0012). CONCLUSIONS BC-116 biomarker panel is a useful test for detecting primary BC. BC-106 classifier integrated with cytology showing
>95% negative predictive value, might be useful for decreasing the number of cystoscopies during surveillance. Access through your institution Buy or subscribe This is a preview of
subscription content, access via your institution ACCESS OPTIONS Access through your institution Subscribe to this journal Receive 24 print issues and online access $259.00 per year only
$10.79 per issue Learn more Buy this article * Purchase on SpringerLink * Instant access to full article PDF Buy now Prices may be subject to local taxes which are calculated during checkout
ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS URINE BIOMARKERS IN BLADDER
CANCER — CURRENT STATUS AND FUTURE PERSPECTIVES Article 24 May 2023 NOVEL URINARY PROTEIN BIOMARKER PANEL FOR EARLY DIAGNOSIS OF GASTRIC CANCER Article Open access 16 September 2020
UNTARGETED URINARY METABOLOMICS FOR BLADDER CANCER BIOMARKER SCREENING WITH ULTRAHIGH-RESOLUTION MASS SPECTROMETRY Article Open access 16 June 2023 DATA AVAILABILITY All data (except raw
files) generated or analysed during this study are included in this article (and its supplementary information files). Raw data are available upon request from the corresponding author.
REFERENCES * Babjuk M, Burger M, Capoun O, Cohen D, Comperat EM, Dominguez, et al. European association of urology guidelines on non-muscle-invasive bladder cancer (Ta, T1, and carcinoma in
situ). Eur Urol. 2022;81:75–94. Article PubMed Google Scholar * Sylvester RJ, Rodriguez O, Hernandez V, Turturica D, Bauerova L, Bruins HM, et al. European association of urology (EAU)
prognostic factor risk groups for non-muscle-invasive bladder cancer (NMIBC) incorporating the WHO 2004/2016 and WHO 1973 classification systems for grade: an update from the EAU NMIBC
guidelines panel. Eur Urol. 2021;79:480–8. Article PubMed Google Scholar * Tan WS, Rodney S, Lamb B, Feneley M, Kelly J. Management of non-muscle invasive bladder cancer: a comprehensive
analysis of guidelines from the United States, Europe and Asia. Cancer Treat Rev. 2016;47:22–31. Article PubMed Google Scholar * Kamat AM, Hahn NM, Efstathiou JA, Lerner SP, Malmstrom PU,
Choi W, et al. Bladder cancer. Lancet. 2016;388:2796–810. Article PubMed Google Scholar * Babjuk M, Burger M, Comperat EM, Gontero P, Mostafid AH, Palou J, et al. European association of
urology guidelines on non-muscle-invasive bladder cancer (TaT1 and carcinoma in situ)—2019 update. Eur Urol. 2019;76:639–57. Article CAS PubMed Google Scholar * Kaufman DS, Shipley WU,
Feldman AS. Bladder cancer. Lancet. 2009;374:239–49. Article CAS PubMed Google Scholar * Maas M, Bedke J, Stenzl A, Todenhofer T. Can urinary biomarkers replace cystoscopy? World J Urol.
2019;37:1741–9. Article PubMed Google Scholar * Freifeld Y, Lotan Y. Effect of blue-light cystoscopy on contemporary performance of urine cytology. BJU Int. 2019;124:251–7. Article
PubMed Google Scholar * Christensen E, Birkenkamp-Demtroder K, Nordentoft I, Hoyer S, van der Keur K, van Kessel KEM, et al. Liquid biopsy analysis of FGFR3 and PIK3CA hotspot mutations
for disease surveillance in bladder cancer. Eur Urol. 2017;71:961–9. Article CAS PubMed Google Scholar * Chakraborty A, Dasari S, Long W, Mohan C. Urine protein biomarkers for the
detection, surveillance, and treatment response prediction of bladder cancer. Am J Cancer Res. 2019;9:1104–17. CAS PubMed PubMed Central Google Scholar * Theodorescu D, Wittke S, Ross
MM, Walden M, Conaway M, Just I, et al. Discovery and validation of new protein biomarkers for urothelial cancer: a prospective analysis. Lancet Oncol. 2006;7:230–40. Article CAS PubMed
Google Scholar * Schiffer E, Vlahou A, Petrolekas A, Stravodimos K, Tauber R, Geschwend JE, et al. Prediction of muscle-invasive bladder cancer using urinary proteomics. Clin Cancer Res.
2009;15:4935–43. Article CAS PubMed Google Scholar * Frantzi M, Latosinska A, Fluhe L, Hupe MC, Critselis E, Kramer MW, et al. Developing proteomic biomarkers for bladder cancer: towards
clinical application. Nat Rev Urol. 2015;12:317–30. Article PubMed Google Scholar * Frantzi M, Vlahou A. Ten years of proteomics in bladder cancer: progress and future directions.
Bladder Cancer. 2017;3:1–18. Article PubMed PubMed Central Google Scholar * Frantzi M, van Kessel KEM, Zwarthoff EC, Marquez M, Rava M, Malats N, et al. Development and validation of
urine-based peptide biomarker panels for detecting bladder cancer in a multi-center study. Clin Cancer Res. 2016;22:4077–86. Article CAS PubMed Google Scholar * Krochmal M, van Kessel
KEM, Zwarthoff EC, Belczacka I, Pejchinovski M, Vlahou A, et al. Urinary peptide panel for prognostic assessment of bladder cancer relapse. Sci Rep. 2019;9:7635. Article PubMed PubMed
Central Google Scholar * McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM, et al. REporting recommendations for tumor MARKer prognostic studies (REMARK). Nat Clin Pr Urol.
2005;2:416–22. Article CAS Google Scholar * Mischak H, Allmaier G, Apweiler R, Attwood T, Baumann M, Benigni A, et al. Recommendations for biomarker identification and qualification in
clinical proteomics. Sci Transl Med. 2010;2:46ps42. Article PubMed Google Scholar * Humphrey PA, Moch H, Cubilla AL, Ulbright TM, Reuter VE. The 2016 WHO classification of tumours of the
urinary system and male genital organs-part B: prostate and bladder tumours. Eur Urol. 2016;70:106–19. Article PubMed Google Scholar * Brierley JD, Brierley JD, Gospodarowicz MK,
Wittekind C, editors. TNM classification of malignant tumours, 8th ed. Chicester: John Wiley & Sons, Incorporated; 2016. * Argilés À, Siwy J, Duranton F, Gayrard N, Dakna M, Lundin U, et
al. CKD273, a new proteomics classifier assessing CKD and its prognosis. PLoS ONE. 2013;8:e62837. Article PubMed PubMed Central Google Scholar * Neuhoff N, Kaiser T, Wittke S, Krebs R,
Pitt A, Burchard A, et al. Mass spectrometry for the detection of differentially expressed proteins: a comparison of surface-enhanced laser desorption/ionization and capillary
electrophoresis/mass spectrometry. Rapid Commun Mass Spectrom. 2004;18:149–56. Article CAS PubMed Google Scholar * Jantos-Siwy J, Schiffer E, Brand K, Schumann G, Rossing K, Delles C, et
al. Quantitative urinary proteome analysis for biomarker evaluation in chronic kidney disease. J Proteome Res. 2009;8:268–81. Article CAS PubMed Google Scholar * Coon JJ, Zurbig P,
Dakna M, Dominiczak AF, Decramer S, Fliser D, et al. CE-MS analysis of the human urinary proteome for biomarker discovery and disease diagnostics. Proteom Clin Appl. 2008;2:964. Article CAS
Google Scholar * Siwy J, Mullen W, Golovko I, Franke J, Zurbig P. Human urinary peptide database for multiple disease biomarker discovery. Proteom Clin Appl. 2011;5:367–74. Article CAS
Google Scholar * DeLeo JM. Receiver operating characteristic laboratory (ROCLAB): software for developing decision strategies that account for uncertainty. In: 1993 (2nd) International
Symposium on Uncertainty Modeling and Analysis. 1993; pp. 318–25. https://doi.org/10.1109/ISUMA.1993.366750. * Roobol MJ, van Vugt HA, Loeb S, Zhu X, Bul M, Bangma CH, et al. Prediction of
prostate cancer risk: the role of prostate volume and digital rectal examination in the ERSPC risk calculators. Eur Urol. 2012;61:577–83. Article PubMed Google Scholar * Ng K, Stenzl A,
Sharma A, Vasdev N. Urinary biomarkers in bladder cancer: a review of the current landscape and future directions. Urol Oncol. 2021;39:41–51. Article CAS PubMed Google Scholar * Soria F,
Droller MJ, Lotan Y, Gontero P, D’Andrea D, Gust KM, et al. An up-to-date catalog of available urinary biomarkers for the surveillance of non-muscle invasive bladder cancer. World J Urol.
2018;36:1981–95. Article PubMed PubMed Central Google Scholar * Frantzi M, Latosinska A, Belczacka I, Mischak H. Urinary proteomic biomarkers in oncology: ready for implementation?
Expert Rev Proteom. 2019;16:49–63. Article CAS Google Scholar * Konety B, Shore N, Kader AK, Porten S, Daneshmand S, Lough T, et al. Evaluation of cxbladder and adjudication of atypical
cytology and equivocal cystoscopy. Eur Urol. 2019;76:238–43. Article PubMed Google Scholar * van der Heijden AG, Mengual L, Ingelmo-Torres M, Lozano JJ, van Rijt-van de Westerlo CCM,
Baixauli M, et al. Urine cell-based DNA methylation classifier for monitoring bladder cancer. Clin Epigenet. 2018;10:71. Article Google Scholar * Grossman HB, Gomella L, Fradet Y, Morales
A, Presti J, Ritenour C, et al. A phase III, multicenter comparison of hexaminolevulinate fluorescence cystoscopy and white light cystoscopy for the detection of superficial papillary
lesions in patients with bladder cancer. J Urol. 2007;178:62–7. Article PubMed Google Scholar * Laukhtina E, Shim SR, Mori K, D’Andrea D, Soria F, Rajwa P, et al. Diagnostic accuracy of
novel urinary biomarker tests in non-muscle-invasive bladder cancer: a systematic review and network meta-analysis. Eur Urol Oncol. 2021;4:927–42. Article PubMed Google Scholar * Yabroff
KR, Zhao J, de Moor JS, Sineshaw HM, Freedman AN, Zheng Z, et al. Factors associated with oncologist discussions of the costs of genomic testing and related treatments. J Natl Cancer Inst.
2020;112:498–506. Article PubMed Google Scholar * Wendt R, Thijs L, Kalbitz S, Mischak H, Siwy J, Raad J, et al. A urinary peptidomic profile predicts outcome in SARS-CoV-2-infected
patients. EClinicalMedicine. 2021;36:100883. Article PubMed PubMed Central Google Scholar * Tofte N, Lindhardt M, Adamova K, Bakker SJL, Beige J, Beulens JWJ, et al. Early detection of
diabetic kidney disease by urinary proteomics and subsequent intervention with spironolactone to delay progression (PRIORITY): a prospective observational study and embedded randomised
placebo-controlled trial. Lancet Diabetes Endocrinol. 2020;8:301–12. Article CAS PubMed Google Scholar Download references FUNDING This work was supported by BioMedBC (752755;
H2020-MSCA-IF-2016) a programme funded by the European Commission (EC) under Marie Sklodowska-Curie actions (MSCA) H2020 Work Programme. The specific role of the funding organisation (EC)
was to financially support the acquisition of the data and part of the data analysis. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Laboratory and Department of Urology, Hospital Clinic de
Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain Lourdes Mengual, Mercedes Ingelmo-Torres & Antonio Alcaraz * Department of Biomedical
Sciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain Lourdes Mengual * Department of Biomarker Research, Mosaiques Diagnostics, Hannover, Germany
Maria Frantzi, Marika Mokou & Harald Mischak * Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands Michiel Vlaming & Antoine G. Van der Heijden *
University Hospital Schleswig-Holstein, Campus Lübeck, Department of Urology, Lübeck, Germany Axel S. Merseburger & Marie C. Roesch * Experimental Urology, Department of Urology, Medical
University of Innsbruck, Innsbruck, Austria Zoran Culig * Systems Biology Center, Biomedical Research Foundation, Academy of Athens, Athens, Greece Antonia Vlahou * Institute of
Cardiovascular and Medical Science, University of Glasgow, Glasgow, UK Harald Mischak Authors * Lourdes Mengual View author publications You can also search for this author inPubMed Google
Scholar * Maria Frantzi View author publications You can also search for this author inPubMed Google Scholar * Marika Mokou View author publications You can also search for this author
inPubMed Google Scholar * Mercedes Ingelmo-Torres View author publications You can also search for this author inPubMed Google Scholar * Michiel Vlaming View author publications You can also
search for this author inPubMed Google Scholar * Axel S. Merseburger View author publications You can also search for this author inPubMed Google Scholar * Marie C. Roesch View author
publications You can also search for this author inPubMed Google Scholar * Zoran Culig View author publications You can also search for this author inPubMed Google Scholar * Antonio Alcaraz
View author publications You can also search for this author inPubMed Google Scholar * Antonia Vlahou View author publications You can also search for this author inPubMed Google Scholar *
Harald Mischak View author publications You can also search for this author inPubMed Google Scholar * Antoine G. Van der Heijden View author publications You can also search for this author
inPubMed Google Scholar CONTRIBUTIONS AGVdH had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study
concept and design: LM, MF, AV, HM and AGVdH; acquisition of the data: LM, MF, MI-T and MV; analysis and interpretation of the data: LM, MF, MM, MI-T, MV; drafting of the manuscript: LM, MF,
MM; critical revision of the manuscript for important intellectual content: LM, MF, MM, MI-T, MV, ASM, MCR, ZC, AA, AV, HM and AGVdH; statistical analysis: LM, MF and MM; obtaining funding:
MF; administrative, technical or material support: LM, AA, AV, HM and AGVdH; supervision: LM, ASM, MCR, ZC, AA, HM and AGVdH; other/software validation: MF and MM. CORRESPONDING AUTHOR
Correspondence to Maria Frantzi. ETHICS DECLARATIONS COMPETING INTERESTS Prof. HM holds ownership interest in Mosaiques Diagnostics GmbH. Dr. MF and Dr. MM are employed by Mosaiques
Diagnostics GmbH. The remaining authors declare no competing interests. ETHICS APPROVAL AND CONSENT TO PARTICIPATE Informed consent forms were obtained and adhered to Institutional Review
Board-approved guidelines. Ethical approval for this study was obtained by the Ethics Committee in Medical School of Hannover (ID:3274–2016). The study was performed in accordance with the
1964 Helsinki declaration and its later amendments or comparable ethical standards. CONSENT TO PUBLISH Not applicable. ADDITIONAL INFORMATION PUBLISHER’S NOTE Springer Nature remains neutral
with regard to jurisdictional claims in published maps and institutional affiliations. SUPPLEMENTARY INFORMATION SUPPLEMENTARY DATA - LEGENDS SUPPLEMENTARY TABLE S1 SUPPLEMENTARY TABLE S2
SUPPLEMENTARY TABLE S3 SUPPLEMENTARY TABLE S4 RIGHTS AND PERMISSIONS Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a
publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing
agreement and applicable law. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Mengual, L., Frantzi, M., Mokou, M. _et al._ Multicentric validation of diagnostic tests based on
BC-116 and BC-106 urine peptide biomarkers for bladder cancer in two prospective cohorts of patients. _Br J Cancer_ 127, 2043–2051 (2022). https://doi.org/10.1038/s41416-022-01992-3 Download
citation * Received: 23 May 2022 * Revised: 13 September 2022 * Accepted: 14 September 2022 * Published: 03 October 2022 * Issue Date: 23 November 2022 * DOI:
https://doi.org/10.1038/s41416-022-01992-3 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not
currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative