Multicentric validation of diagnostic tests based on bc-116 and bc-106 urine peptide biomarkers for bladder cancer in two prospective cohorts of patients

Multicentric validation of diagnostic tests based on bc-116 and bc-106 urine peptide biomarkers for bladder cancer in two prospective cohorts of patients

Play all audios:

Loading...

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