MP47-10 MICRORNA EXPRESSION PROFILES FOR RENAL MASS BIOPSY: A NOVEL TOOL TO AID IN THE STRATIFICATION OF PATIENTS WITH CLEAR CELL RENAL CELL CARCINOMA

You have accessJournal of UrologyKidney Cancer: Basic Research II1 Apr 2015MP47-10 MICRORNA EXPRESSION PROFILES FOR RENAL MASS BIOPSY: A NOVEL TOOL TO AID IN THE STRATIFICATION OF PATIENTS WITH CLEAR CELL RENAL CELL CARCINOMA Drew Palmer, Casey Kowalik, Patrick Teebagy, Kari Bailey, Shiv Patel, Travis Sullivan, John Dugan, John Libertino, and Kimberly Rieger-Christ Drew PalmerDrew Palmer More articles by this author , Casey KowalikCasey Kowalik More articles by this author , Patrick TeebagyPatrick Teebagy More articles by this author , Kari BaileyKari Bailey More articles by this author , Shiv PatelShiv Patel More articles by this author , Travis SullivanTravis Sullivan More articles by this author , John DuganJohn Dugan More articles by this author , John LibertinoJohn Libertino More articles by this author , and Kimberly Rieger-ChristKimberly Rieger-Christ More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.1530AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Percutaneous renal mass biopsy (RMB) has seen a rise in use as part of the management algorithm for renal masses. RMB is being increasingly used to obtain a tissue diagnosis prior to partial or radical nephrectomy. While RMB has become accepted for the histologic diagnosis of clear cell renal cell carcinoma (ccRCC), it has had minimal prognostic utility if malignancy is identified. MicroRNA (miRNA) have been implicated in the tumorigenesis of ccRCC. Previously we demonstrated that miRNA expression profiles can aid in the distinction between benign and malignant pathology on RMB. No study to date has examined the prognostic implications for miRNA expression profiles on RMB tissue. Our objective was to use miRNA expression profiles from RMB tissue to differentiate patients with localized versus aggressive ccRCC. METHODS RNA was extracted from formalin fixed paraffin embedded renal tissue specimens obtained via RMB, partial and radical nephrectomy. MiRNA expression profiles were identified for ccRCC using microarray analysis on pooled samples from the nephrectomy specimens. Validation of the differential expression of these miRNA was assessed using qRT-PCR for all specimens. Expression profiles were analyzed using a binary logistic regression model. Statistical analysis was performed using SPSS. RESULTS Microarray analysis of the pooled tissue samples showed differential expression of 50 miRNA between patients with localized and aggressive disease (those with metastatic disease at the time of surgery and those who progressed to metastatic disease within 5 years of nephrectomy). Validation of the expression profiles revealed significant differences in expression for 7 miRNA at p < 0.05. Using the expression profiles for miR-10a and 10b in the nephrectomy and RMB specimens, binary logistic regression models were created for differentiation between local and aggressive disease. From the biopsy samples, the area under the curve, sensitivity, and specificity of this model were 0.818, 63.6, and 76.9, respectively. Decreased cancer specific survival was shown for patients with lower levels of miR-10b at 5 years follow up. CONCLUSIONS We have identified a panel of 7 miRNA whose expression profiles are statistically different between local and aggressive ccRCC. This is the first study to stratify patients with ccRCC using biopsy tissue alone. The future utility of RMB may be in stratification and prognosis in addition to its current primary use of histologic diagnosis. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e555-e556 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Drew Palmer More articles by this author Casey Kowalik More articles by this author Patrick Teebagy More articles by this author Kari Bailey More articles by this author Shiv Patel More articles by this author Travis Sullivan More articles by this author John Dugan More articles by this author John Libertino More articles by this author Kimberly Rieger-Christ More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...