PD23-07 A PROSPECTIVE TRANSLATIONAL STUDY OF MICRORNA-519A DETECTION AS A URINE MARKER IN OUTPATIENTS WITH MACROSCOPIC HEMATURIA: A PROMISING CANDIDATE MICRORNA FROM DEEP SEQUENCING SIGNATURE OF UROTHELIAL CARCINOMA

Abstract

You have accessJournal of UrologyBladder Cancer: Detection and Screening I1 Apr 2015PD23-07 A PROSPECTIVE TRANSLATIONAL STUDY OF MICRORNA-519A DETECTION AS A URINE MARKER IN OUTPATIENTS WITH MACROSCOPIC HEMATURIA: A PROMISING CANDIDATE MICRORNA FROM DEEP SEQUENCING SIGNATURE OF UROTHELIAL CARCINOMA Hideki Enokida, Yasutoshi Yamada, Satoru Inoguchi, Tomoaki Ishihara, Shuichi Tatarano, Toshihiko Itesako, Naohiko Seki, and Masayuki Nakagawa Hideki EnokidaHideki Enokida More articles by this author , Yasutoshi YamadaYasutoshi Yamada More articles by this author , Satoru InoguchiSatoru Inoguchi More articles by this author , Tomoaki IshiharaTomoaki Ishihara More articles by this author , Shuichi TataranoShuichi Tatarano More articles by this author , Toshihiko ItesakoToshihiko Itesako More articles by this author , Naohiko SekiNaohiko Seki More articles by this author , and Masayuki NakagawaMasayuki Nakagawa More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.1423AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Currently, tumor marker for bladder cancer (BC) depends on urine cytology because of its high specificity despite of its low sensitivity. MicroRNAs (miRNAs) are small noncoding RNAs of about 22 nucleotides in length. Because of its short structure, miRNAs are resistant to degradation and robustly detected in bodily fluids. At past AUA meeting, we have demonstrated that detection of several miRNAs in urine was useful biomarkers from retrospective cohort of UC patients. In this study, we performed our translational prospective study for miRNAs detection in urine as a diagnostic marker for detecting UC by using a new candidate miRNA based on deep sequencing miRNA analysis. METHODS Urine samples were randomly collected from 262 outpatients, who complained of macroscopic hematuria in our affiliate hospitals between November, 2011 and November, 2013. A total of 10 ml urine was centrifuged at 2000 g for 15 min. Total RNA of urine was extracted from both urine sediment and 5 ml of supernatant. We detected differentially expressed miRNAs in 5 BCs by using the next generation high through-put Solexa sequencing technology. A real-time PCR based experiment was used to evaluate expression levels of the miRNAs. On the basis of absolute quantification method, the expression level of each miRNA was calculated by a following formula: expression level = 2^(40-Ct). RESULTS Finally, urothelial carcinoma were pathologically proven in 78 patients (70 BCs and 8 renal pelvic cancers); urinary tract infection was found in 80 patients; urinary stone was in 46; and others was in 58. In urine sediment, the expression levels of miR-519a in UCs were significantly higher than that in non-UCs (UTIs, stones, and others) (P<0.0001). There was a significance that a higher expression levels of miR-519a was associated with high grade UCs compared with low grade UCs (P=0.0018). The ROC curve analysis revealed that miR-519a has good sensitivity of 62.8% and specificity of 76.2% to distinguish UCs from non-UCs. miR-519a was able to be detected in 26 of 45 patients who had negative urine cytology test. In terms of urine supernatant, we also found a significant difference of miR-519a expression level between UCs and non-UCs (P<0.0001). However, there was a relatively lower sensitivity of 52.2% and specificity of 78.2% to distinguish UCs from non-UCs. CONCLUSIONS Our translational study suggests that detection of miR-519a in urine may serve as potential diagnostic markers for UC detection. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e483 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Hideki Enokida More articles by this author Yasutoshi Yamada More articles by this author Satoru Inoguchi More articles by this author Tomoaki Ishihara More articles by this author Shuichi Tatarano More articles by this author Toshihiko Itesako More articles by this author Naohiko Seki More articles by this author Masayuki Nakagawa More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...