MP61-13 DO URINARY-BASED MOLECULAR BIOMARKER HAVE THE ABILITY TO PREDICT THE GRADE OF NON-MUSCLE INVASIVE BLADDER CANCER GRADE?

Abstract

INTRODUCTION AND OBJECTIVE: Micro-RNA155 (mir-155), MicroRNA-200b (mir-200b), human telomerase reverse transcriptase (hTERT), and E2F3 transcription factor had a role in bladder cancer pathogenesis. We aim to assess their role in diagnosis the non-muscle invasive bladder cancer (NMIBC) grade compared to histopathological results. METHODS: A registered prospective trial (NCT03591367) for 64 NMIBC patients. From voided urine samples, total RNA extract from sedimented urothelial cells were analysed by a reverse transcriptase-polymerase chain reaction assay for the presence of mir-155, mir-200b, hTERT and E2F3 transcript. A receiver operating characteristics (ROC) was plotted in order to choose the best cut-off point. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated for each test. RESULTS: Patients demographic were comparable (table 1). The expression levels of the mir-155 didn’t show difference between high grade (HG) and low grade (LG) (p=0.06) (table 1). Both mir-155 and mir-200b had the lowest AUC (table 2). E2F3 and hTERT expression in urine was higher in HG NMIBC group than in LG NMIBC (P < 0.001) (table 1). The sensitivity, specificity, accuracy of E2F3 were 86%, 76.2%, and 82.8%, respectively. The sensitivity, specificity, accuracy of hTERT were 86%, 66.7%, and 79.7%, respectively (table 2 and figure 1). CONCLUSIONS: As molecular urinary biomarkers; E2F3 and hTERT have the highest potential for prediction of the grade of NMIBC to either low or high grade.Source of Funding: No