You have accessJournal of UrologyKidney Cancer: Evaluation & Staging (II)1 Apr 2013729 PROGNOSTIC CLASSIFICATION OF CLEAR CELL RENAL CELL CARCINOMA BY GENE EXPRESSION PROFILING USING DNA MICROARRAY Tomohiko Yanagida, Yoshinobu Kozima, Masanori Nomiya, Nobuhiro Haga, Norio Takahashi, Shin Kumagai, Ken Kumagai, Masao Kataoka, Emi Itou, Jun-ichi Imai, Satoshi Waguri, and Shinya Watanabe Tomohiko YanagidaTomohiko Yanagida Fukushima, Japan More articles by this author , Yoshinobu KozimaYoshinobu Kozima Fukushima, Japan More articles by this author , Masanori NomiyaMasanori Nomiya Fukushima, Japan More articles by this author , Nobuhiro HagaNobuhiro Haga Fukushima, Japan More articles by this author , Norio TakahashiNorio Takahashi Fukushima, Japan More articles by this author , Shin KumagaiShin Kumagai Fukushima, Japan More articles by this author , Ken KumagaiKen Kumagai Fukushima, Japan More articles by this author , Masao KataokaMasao Kataoka Fukushima, Japan More articles by this author , Emi ItouEmi Itou Fukushima, Japan More articles by this author , Jun-ichi ImaiJun-ichi Imai Fukushima, Japan More articles by this author , Satoshi WaguriSatoshi Waguri Fukushima, Japan More articles by this author , and Shinya WatanabeShinya Watanabe Fukushima, Japan More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.292AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Several sets of genes that might predict the prognosis in patients with clear cell renal cell carcinoma (ccRCC) obtained from gene expression profiling using DNA microarrays have been reported. The aim of this study is to identify prognostic classification of ccRCC by DNA microarray using non-amplified RNA samples. METHODS This study was included consecutive 52 patients of stage I-IV ccRCC who underwent nephrectomy at our institution from 2008 to 2012. Total RNA was extracted from snap-frozen samples of these primary ccRCC and 32 normal renal cortex tissues. Poly(A)+ RNA was isolated from total RNA. Then, DNA microarray was done using these non-amplified RNA samples. RESULTS In clustering analysis, all samples were separated into two distinct clusters, ccRCC and normal renal tissues. Furthermore, ccRCC samples were separated into two distinct clusters. Kaplan-Meier analysis demonstrated that significant difference in cancer-specific survival between these two sub-groups of ccRCC (p=0.001). We identified 31 transcripts that can be distinguished to the similar prognostic classification of ccRCC. Our transcript set was different from the several prognostic gene sets that have been previously reported. CONCLUSIONS Our result confirm previous observation suggesting that there are at least two distinct molecular subtypes showing the different prognosis in ccRCC. Our unique transcript set has the potential to be distinguished poor-prognosis patient from clinical ccRCC. © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 189Issue 4SApril 2013Page: e300 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information Tomohiko Yanagida Fukushima, Japan More articles by this author Yoshinobu Kozima Fukushima, Japan More articles by this author Masanori Nomiya Fukushima, Japan More articles by this author Nobuhiro Haga Fukushima, Japan More articles by this author Norio Takahashi Fukushima, Japan More articles by this author Shin Kumagai Fukushima, Japan More articles by this author Ken Kumagai Fukushima, Japan More articles by this author Masao Kataoka Fukushima, Japan More articles by this author Emi Itou Fukushima, Japan More articles by this author Jun-ichi Imai Fukushima, Japan More articles by this author Satoshi Waguri Fukushima, Japan More articles by this author Shinya Watanabe Fukushima, Japan More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...