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

Lourdes Mengual, Maria Frantzi*, Marika Mokou, Mercedes Ingelmo-Torres, Michiel Vlaming, Axel S. Merseburger, Marie C. Roesch, Zoran Culig, Antonio Alcaraz, Antonia Vlahou, Harald Mischak, Antoine G. Van der Heijden

*Korrespondierende/r Autor/-in für diese Arbeit

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.

OriginalspracheEnglisch
ZeitschriftBritish Journal of Cancer
Jahrgang127
Ausgabenummer11
Seiten (von - bis)2043-2051
Seitenumfang9
ISSN0007-0920
DOIs
PublikationsstatusVeröffentlicht - 23.11.2022

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  • Profilbereich: Lübeck Integrated Oncology Network (LION)

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