You have accessJournal of UrologyProstate Cancer: Markers I1 Apr 2016MP02-06 EVALUATION OF A GENOMIC CLASSIFIER IN RADICAL PROSTATECTOMY PATIENTS WITH LYMPH NODE METASTASIS Hak J. Lee, Kasra Yousefi, Zaid Haddad, Firas Abdollah, Lucia Lam, Heesun Shin, Mohammed Alshalalfa, Elana Godebu, Song Wang, Ahmed Shabaik, Elai Davicioni, and Christopher Kane Hak J. LeeHak J. Lee More articles by this author , Kasra YousefiKasra Yousefi More articles by this author , Zaid HaddadZaid Haddad More articles by this author , Firas AbdollahFiras Abdollah More articles by this author , Lucia LamLucia Lam More articles by this author , Heesun ShinHeesun Shin More articles by this author , Mohammed AlshalalfaMohammed Alshalalfa More articles by this author , Elana GodebuElana Godebu More articles by this author , Song WangSong Wang More articles by this author , Ahmed ShabaikAhmed Shabaik More articles by this author , Elai DavicioniElai Davicioni More articles by this author , and Christopher KaneChristopher Kane More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.1878AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES To evaluate the performance of the Decipher test in predicting lymph node invasion (LNI) on biopsy and radical prostatectomy (RP) specimens. METHODS We identified 1,987 consecutive RP patients who received the Decipher test between February and August 2015 (prospective cohort [PC]). In addition, we identified a consecutive cohort of patients treated with RP between 2006 and 2012 at the University of California San Diego with LNI upon pathological examination (retrospective cohort [RC]). The RC yielded 7, 22, and 18 tissue specimens from prostate biopsy (PBx), RP and lymph nodes (LNs) for individual patients, respectively. Univariable (UVA) and multivariable (MVA) logistic regression analysis was used to evaluate the performance of Decipher in the PC with LNI as the endpoint. In the RC, concordance of risk groups was assessed using validated cut-points for low (<0.45), intermediate (0.45-0.6) and high (>0.6) Decipher score. RESULTS In the PC, 51 (2.6%) patients had LNI. Decipher had an odds ratio (OR) of 1.73 (95% confidence interval [CI], 1.47-2.05) and 1.43 (95% CI, 1.19-1.71) per 10% increase in score on UVA and MVA, respectively. No significant difference in the clinical-pathologic characteristics between the LN positive patients of PC and RC was observed (all p>0.05). Accordingly, among LN positive patients in PC and RC, 80% and 77% had Decipher high-risk scores (p=1). In RC, PBx cores with the highest Gleason grade and percentage of tumor involvement had 86% Decipher risk concordance with both RP and LN specimens. CONCLUSIONS : Decipher was predictive of LNI on biopsy and RP. Decipher scores were highly concordant between pre- and post-surgical specimens. If validated in a larger cohort of PBx specimens, Decipher may be useful for improved pre-operative staging. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e11 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Hak J. Lee More articles by this author Kasra Yousefi More articles by this author Zaid Haddad More articles by this author Firas Abdollah More articles by this author Lucia Lam More articles by this author Heesun Shin More articles by this author Mohammed Alshalalfa More articles by this author Elana Godebu More articles by this author Song Wang More articles by this author Ahmed Shabaik More articles by this author Elai Davicioni More articles by this author Christopher Kane More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...