Identifying low cancer-specific mortality risk lymph node-positive radical prostatectomy patients.

To identify low cancer-specific mortality (CSM) risk lymph node-positive (pN1) radical prostatectomy (RP) patients.

Within Surveillance, Epidemiology and End Results database (2010-2015) pN1 RP patients were identified. Kaplan-Meier plots and multivariable Cox-regression (MCR) models were used. Pathological characteristics were used to identify patients at lowest CSM risk.

Overall, 2197 pN1 RP patients were identified. Overall, 5-year cancer-specific survival (CSS) rate was 93.3%. In MCR models ISUP GG1-2 (hazard ratio [HR]: 0.12, p < 0.001), GG3 (HR: 0.14, p < 0.001), GG4 (HR: 0.35, p = 0.002), pT2 (HR: 0.27, p = 0.012), pT3a (HR: 0.28, p = 0.003), pT3b (HR: 0.39, p = 0.009), and 1-2 positive lymph nodes (HR: 0.64, p = 0.04) independently predicted lower CSM. Pathological characteristics subgroups with the most protective hazard ratios were used to identify low-risk (ISUP GG1-3 and pT2-3a and 1-2 positive lymph nodes) patients versus others (ISUP GG4-5 or pT3b-4 or ≥3 positive lymph nodes). In Kaplan-Meier analyses, 5-year CSS rates were 99.3% for low-risk (n = 480, 21.8%) versus 91.8% (p < 0.001) for others (n = 1717, 78.2%).

Lymph node-positive RP patients exhibit variable CSS rates. Within this heterogeneous group, those at very low risk of CSM may be identified based on pathological characteristics, namely ISUP GG1-3, pT2-3a, and 1-2 positive lymph nodes. Such stratification scheme might be of value for individual patients counseling, as well as in design of clinical trials.

Journal of surgical oncology. 2024 Mar 12 [Epub ahead of print]

Francesco Barletta, Stefano Tappero, Simone Morra, Reha-Baris Incesu, Cristina Cano Garcia, Mattia L Piccinelli, Lukas Scheipner, Zhe Tian, Giorgio Gandaglia, Armando Stabile, Elio Mazzone, Carlo Terrone, Nicola Longo, Derya Tilki, Felix K H Chun, Ottavio de Cobelli, Sascha Ahyai, Fred Saad, Shahrokh F Shariat, Francesco Montorsi, Alberto Briganti, Pierre I Karakiewicz

Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada., Unit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy., Department of Urology, IRCCS Policlinico San Martino, Genova, Italy., Department of Neurosciences, Science of Reproduction and Odontostomatology, University of Naples Federico II, Naples, Italy., Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany., Department of Urology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany., Department of Urology, IEO European Institute of Oncology, IRCCS, Milan, Italy., Department of Urology, Medical University of Graz, Graz, Austria., Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.