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Detection of MicroRNAs in Archival Cytology Urine Smears
Authors:Francesca Simonato  Laura Ventura  Nicola Sartori  Rocco Cappellesso  Matteo Fassan  Lill-Tove Busund  Ambrogio Fassina
Institution:1. Department of Medicine (DIMED), Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy.; 2. Department of Statistics, University of Padua, Padua, Italy.; 3. Department of Pathology & Diagnostics, Surgical Pathology & Cytopathology Unit, University of Verona, Verona, Italy.; 4. Department of Clinical Pathology, University Hospital of North Norway, Institute of Medical Biology, University of Tromso, Tromso, Norway.; University of Verona, Italy,
Abstract:MicroRNAs’ dysregulation and profiling have been demonstrated to be clinically relevant in urothelial carcinoma (UC). Urine cytology is commonly used as the mainstay non-invasive test for secondary prevention and follow-up of UC patients. Ancillary tools are needed to support cytopathologists in the diagnosis of low-grade UC. The feasibility and reliability of microRNAs profiling by qRT-PCR analysis (miR-145 and miR-205) in archival routine urine cytology smears (affected by fixation/staining Papanicolau] and room temperature storage) was tested in a series of 15 non-neoplastic and 10 UC urine specimens. Only samples with >5,000 urothelial cells and with <50% of inflammatory cells/red blood cells clusters were considered. Overall, a satisfactory amount of total RNA was obtained from all the considered samples (mean 1.27±1.43 µg, range 0.06–4.60 µg). Twenty nanograms of total RNA have been calculated to be the minimal total RNA concentration for reliable and reproducible miRNAs expression profiling analysis of archival cytological smears (slope = -3.4084; R-squared = 0.99; efficiency = 1.94). miR-145 and miR-205 were significantly downregulated in UC samples in comparison to non-tumor controls. These findings demonstrate that urine archival cytology smears are suitable for obtaining high-quality RNA to be used in microRNAs expression profiling. Further studies should investigate if miRNAs profiling can be successfully translated into clinical practice as diagnostic or prognostic markers.
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