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Publication Detail

Title: MicroRNA Dysregulation and Non-Muscle-Invasive Bladder Cancer Prognosis.

Authors: Andrew, Angeline S; Karagas, Margaret R; Schroeck, Florian R; Marsit, Carmen J; Schned, Alan R; Pettus, Jason R; Armstrong, David A; Seigne, John D

Published In Cancer Epidemiol Biomarkers Prev, (2019 04)

Abstract: The high rate of non-muscle-invasive bladder cancer recurrence is a major challenge in patient management. miRNAs functionally regulate tumor cell proliferation and invasion, and have strong potential as biomarkers because they are robust to degradation. The objective of this project was to identify reproducible prognostic miRNAs in resected non-muscle-invasive bladder tumor tissue that are predictive of the recurrent tumor phenotype.We utilized patients diagnosed with primary non-muscle-invasive bladder cancer in three independent cohorts for a biomarker discovery/validation approach. Baseline tumor tissue from patients with the clinically challenging, non-muscle-invasive primary low stage (Ta), high grade, and T1 tumors (tumors extending into the lamina propria) comprised the discovery cohort (n = 38). We isolated the tumor tissue RNA and assessed a panel of approximately 800 miRNAs.miR-26b-5p was the top-ranking prognostic tumor tissue miRNA, with a time-to-recurrence HR 0.043 for levels above versus below median, (Padj = 0.0003). miR-26b-5p was related to a dose-response reduction in tumor recurrence, and levels above the median were also associated with reduced time-to-progression (Padj = 0.02). We used two independent longitudinal cohorts that included both low-grade and high-grade Ta and T1 tumors for validation and found a consistent relationship between miR-26b-5p and recurrence and progression.Our results suggest that miR-26b-5p levels may be prognostic for non-muscle-invasive bladder cancer recurrence, and can feasibly be assessed in baseline tumor tissue from a wide variety of clinical settings.Early identification of those non-muscle-invasive bladder tumor patients with refractory phenotypes would enable individualized treatment and surveillance.

PubMed ID: 30700445 Exiting the NIEHS site

MeSH Terms: Aged; Female; Humans; Male; MicroRNAs/genetics*; Prognosis; Urinary Bladder Neoplasms/genetics*; Urinary Bladder Neoplasms/pathology

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