MP78-09 IDENTIFICATION AND VALIDATION OF AN 8-GENE EXPRESSION SIGNATURE FOR PREDICTING HIGH FUHRMAN GRADE RENAL CELL CARCINOMA

Abstract

You have accessJournal of UrologyKidney Cancer: Epidemiology & Evaluation/Staging II1 Apr 2016MP78-09 IDENTIFICATION AND VALIDATION OF AN 8-GENE EXPRESSION SIGNATURE FOR PREDICTING HIGH FUHRMAN GRADE RENAL CELL CARCINOMA Fangning Wan, Yao Zhu, Chengtao Han, Bo Dai, Hailiang Zhang, Guohai Shi, and Dingwei Ye Fangning WanFangning Wan More articles by this author , Yao ZhuYao Zhu More articles by this author , Chengtao HanChengtao Han More articles by this author , Bo DaiBo Dai More articles by this author , Hailiang ZhangHailiang Zhang More articles by this author , Guohai ShiGuohai Shi More articles by this author , and Dingwei YeDingwei Ye More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.1965AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Clear cell renal cell carcinoma (ccRCC) is a malignancy with heterogeneous outcomes. Currently, renal mass biopsies are commonly employed to extract disease characteristics and aid prognosis. Although the pathological diagnosis of malignant disease is accurate in contemporary reports, the classification of Fuhrman grade using biopsy specimens is still far from promising. Our objective is to generate a signature biomarker to distinguish high grade ccRCC that could be readily applied to clinical biopsy samples. METHODS Using the Cancer Genome Atlas (TCGA) database, a gene expression signature was developed to distinguish high-grade (G3/4) from low-grade (G1/2) disease. The expression profile was further validated for performance and clinical usage in 283 frozen renal cancer samples and 127 ex-vivo renal mass biopsy samples, respectively. The area under curve (AUC) was used to quantify discriminative ability and was compared using the De-long test. RESULTS Using the development dataset, we identified a 24-gene signature for high-grade disease with an AUC of 0.884. After applied to the replication dataset, an eight-gene profile was defined and achieved an AUC of 0.823. The accuracy of 8-gene panel was maintained in the RMB samples (AUC=0.821). CONCLUSIONS Using a two-stage replication design, we validated an eight-gene expression signature for predicting high Fuhrman grade of ccRCC. This tool may help to reveal the characteristics of ccRCC biopsy specimens. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e1027-e1028 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Fangning Wan More articles by this author Yao Zhu More articles by this author Chengtao Han More articles by this author Bo Dai More articles by this author Hailiang Zhang More articles by this author Guohai Shi More articles by this author Dingwei Ye More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...