You have accessJournal of UrologyKidney Cancer: Basic Research & Pathophysiology I (MP39)1 Sep 2021MP39-03 INTEGRATION OF NEUROPILIN 1, REGULATOR OF G PROTEIN SIGNALLING 5, AND FORKHEAD BOX M1 EXPRESSION AND TUMOUR NECROSIS AS A PROGNOSTIC CLASSIFIER BASED ON MOLECULAR SUBTYPES OF CLEAR CELL RENAL CELL CARCINOMA Takashi Yoshida, Chisato Ohe, Junichi Ikeda, Ryoichi Saito, Haruyuki Ohsugi, Motohiko Sugi, Hidefumi Kinoshita, and Tadashi Matsuda Takashi YoshidaTakashi Yoshida More articles by this author , Chisato OheChisato Ohe More articles by this author , Junichi IkedaJunichi Ikeda More articles by this author , Ryoichi SaitoRyoichi Saito More articles by this author , Haruyuki OhsugiHaruyuki Ohsugi More articles by this author , Motohiko SugiMotohiko Sugi More articles by this author , Hidefumi KinoshitaHidefumi Kinoshita More articles by this author , and Tadashi MatsudaTadashi Matsuda More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002054.03AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Molecular mechanisms of progression of clear cell renal cell carcinoma (ccRCC) have been proven with recent genomic or transcriptional analyses. However, it is still difficult to apply these analyses to daily clinical practice owing to economical and practical issues. Here, we established a pathology-based prognostic classification based on the well-validated transcriptional classifier, ClearCorde34, in ccRCC. METHODS: Three-hundred forty-two cases with available tissue were identified and randomly divided into the discovery cohort (n=138) and the validation cohort (n=204). Levels of mRNA were quantified using the Digital Analyzer, and the ccA/ccB subtypes were determined. Histological and immunohistochemistry (IHC) analyses were subsequently performed to establish the pathology-based classification based on the mRNA levels. Finally, the prognostic ability of the new classifier was evaluated in both the discovery and validation cohorts. RESULTS: Of 138 cases in the discovery cohort, 78 (56.5%) and 60 (43.5%) were assigned to the ccA and ccB subtypes, respectively. Proangiogenic genes, neuropilin 1 (NRP1) and regulator of G protein signalling 5 (RGS5), were especially overexpressed in all ccRCC samples and were enriched in ccA-assigned tumours. Histologically, tumour necrosis and the sarcomatoid feature were associated with the ccB subtype. In IHC analyses, expression of NRP1, RGS5, and Forkhead box M1 (FOXM1), an epithelial-mesenchymal transition-related factor, significantly correlated with the ccA/ccB subtypes. Combining these three IHC factors and tumour necrosis, we developed the IHC/histology-based classifier, which showed good concordance with the ClearCode34 classifier with an accuracy of 0.80. The established classification significantly stratified relapse-free, cancer-specific, and overall survival rates in both the discovery and validation cohorts. CONCLUSIONS: The novel molecular pathology classifier integrating NRP1, RGS5, FOXM1, and tumour necrosis may enable the stratification of oncological outcomes for patients with ccRCC. Source of Funding: None © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e704-e705 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Takashi Yoshida More articles by this author Chisato Ohe More articles by this author Junichi Ikeda More articles by this author Ryoichi Saito More articles by this author Haruyuki Ohsugi More articles by this author Motohiko Sugi More articles by this author Hidefumi Kinoshita More articles by this author Tadashi Matsuda More articles by this author Expand All Advertisement Loading ...