title: Defining prostate cancer risk after radical prostatectomy.
abstract: Prostate cancer encompasses a wide spectrum of tumor phenotypes with differing prognoses and a part of these patients are at risk of experiencing tumor recurrence after initial treatment. This review discusses the parameters that determine PCa risk for failure after radical prostatectomy and also focuses on the ability of currently available post-treatment nomograms to predict treatment outcomes, and probability of treatment failure. The use of predictive nomograms may be therefore helpful in the complex decision making process.
authors.affiliation: 2nd Department of Urology, University of Athens, Medical School, Sismanoglion Hospital, Athens, Greece. Electronic address: stadamis@med.uoa.gr.
authors.forename: S
authors.initials: S
authors.lastname: Adamis
authors.affiliation: 2nd Department of Urology, University of Athens, Medical School, Sismanoglion Hospital, Athens, Greece.
authors.forename: I M
authors.initials: IM
authors.lastname: Varkarakis
mesh_terms: D002277:Carcinoma / Q000473:pathology / Q000601:surgery*; D006801:Humans; D007610:Kallikreins / Q000378:metabolism; D008297:Male; D060787:Neoplasm Grading; D009361:Neoplasm Invasiveness; D009364:Neoplasm Recurrence, Local; D049451:Nomograms; D011379:Prognosis; D017430:Prostate-Specific Antigen / Q000378:metabolism; D011468:Prostatectomy; D011471:Prostatic Neoplasms / Q000473:pathology / Q000601:surgery*; D018570:Risk Assessment / Q000379:methods*; D017211:Treatment Failure
chemical_list: C549870:KLK3 protein, human; D007610:Kallikreins; D017430:Prostate-Specific Antigen
keywords: Adverse features; Predictive nomograms; Prostate cancer; Radical prostatectomy