Background: The aim was to evaluate the prognosis of men with all possible high-risk prostate cancers (PCa) stratified by risk factors.Methods: Within the Surveillance, Epidemiology and End Results (SEER) database from 2004 to 2015, men with non-metastasis high-risk PCa were identified. Kaplan-Meier analysis and Cox regressions were adopted to evaluate the overall survival (OS) and prostate cancer-specific survival (PCSS). Nomograms were conducted to build a predictive model. Concordance index (C-index) and calibration curves were used to validate the model.Results: A total of 151,799 patients were included. Seven risk groups were divided including one highrisk factor of T3-4 (A1), prostate-specific antigen (PSA) >20 ng/mL (A2), and Gleason score (GS) 8-10, two high-risk factors of T3-4 PSA >20 ng/mL (B1), T3-4 GS 8-10 (B2), PSA >20 ng/mL GS 8-10 (B3), and three high-risk factors of T3-4 PSA >20 ng/mL GS 8-10 (C). The survival curves of PCSS showed that A1 was the best among all groups. A2, A3 and B1 had similar results and were all better than B2 [with A2 as
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.