Background: Up to 70% of patients with non-muscle-invasive bladder cancer (NMIBC) experience disease recurrence, making it one of the most prevalent cancers in the United States. The purpose of this study was to test the performance of a multiplex urinary biomarker assay for the monitoring of voided urine for recurrent bladder cancer.
Methods: This retrospective, multicenter study included a total of 125 subjects with a history of bladder cancer. Voided urine specimens were collected before procedure from these subjects (53 with confirmed tumor recurrence and 72 with confirmed non-tumor recurrence) for analysis. A prediction rule generated from the performance characteristics of 10 single biomarkers (IL8, MMP9, MMP10, SERPINA1, VEGFA, ANG, CA9, APOE, SERPINE1, and SDC1) was measured using ELISA. The diagnostic performance of the biomarker panel was assessed using receiver operator curves (ROC) and descriptive statistical values (e.g., sensitivity and specificity).
Results: The combination of all 10 biomarkers outperformed any single biomarker with a calculated AUROC for the diagnostic panel of 0.904 [95% confidence interval (CI), 0.853-0.956]. The multiplex assay achieved an overall sensitivity of 79% and specificity of 88% for recurrent bladder cancer and significantly outperformed the Urovysion cytogenetic assay (sensitivity 42%, specificity 94%) and voided urinary cytology (sensitivity 33%, specificity 90%).
Conclusions: A diagnostic panel of 10 urinary biomarkers that accurately detects primary bladder cancer also performs well for the detection of recurrent bladder cancer.
Impact: The identification of a reliable urine-based surveillance and detection assay would be of benefit to both patients and the healthcare system.
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http://dx.doi.org/10.1158/1055-9965.EPI-14-0035 | DOI Listing |
Discov Oncol
January 2025
Institute of Clinical Medicine, Surgery, University of Eastern Finland, Kuopio, Finland.
Purpose: This retrospective single-center study aimed to determine the correlation between The Paris System (TPS) urine cytology classification, cystoscopy findings, and non-muscle-invasive bladder cancer diagnosis. In addition, we sought to identify factors that might explain the abnormal cytology classification in cases in which no malignancy was detected.
Methods: A Total of 855 patients evaluated with urine cytology between 2017 and 2020 at Kuopio University Hospital were included.
Urologie
January 2025
Urologische Klinik und Poliklinik, Klinikum der Universität München, Ludwig-Maximilians-Universität München, München, Deutschland.
Cancer Genet
January 2025
Biology and Medical Research Unit, CNESTEN, Rabat, Morocco.
The transcription factor TWIST1 is a major regulator of Epithelial-Mesenchymal Transition, enhancing cancer cell mobility and invasive potential. Overexpression of TWIST1 is associated with tumor progression and poor prognosis. In our study, we explored the role of TWIST1 as both a prognostic biomarker and a therapeutic target in bladder cancer (BC), as well as the relationship between its promoter methylation and mRNA expression in bladder cancer patients.
View Article and Find Full Text PDFWorld J Urol
January 2025
Department of Urology, University of Health Sciences, Bagcilar Training and Research Hospital, Istanbul, 34200, Turkey.
Purpose: As Bladder EpiCheck (BE) is a promising urinary biomarker for diagnosis and follow up of non-muscle-invasive bladder cancer (NMIBC), there are no studies evaluated this tool for second transurethral resection (TUR) indication. We aim to evaluate the performance of BE in predicting residual tumor before second TUR in NMIBC and its effects on clinical decision making.
Methods: A total of 50 patients who were diagnosed with NMIBC and indicated for a second TUR were included in the study prospectively.
J Appl Clin Med Phys
January 2025
Department of Radiation Medicine and Applied Sciences, UC San Diego Health, La Jolla, California, USA.
Purpose: Daily online adaptive radiotherapy (ART) improves dose metrics for gynecological cancer patients, but the on-treatment process is resource-intensive requiring longer appointments and additional time from the entire adaptive team. To optimize resource allocation, we propose a model to identify high-priority patients.
Methods: For 49 retrospective cervical and endometrial cancer patients, we calculated two initial plans: the treated standard-of-care (Initial) and a reduced margin initial plan (Initial) for adapting with the Ethos treatment planning system.
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