Identifying the Optimal Candidate for Salvage Lymph Node Dissection for Nodal Recurrence of Prostate Cancer: Results from a Large, Multi-institutional Analysis.

Salvage lymph node dissection (SLND) represents a possible treatment option for prostate cancer patients affected by nodal recurrence after local treatment. However, SLND may be associated with intra- and postoperative complications, and the oncological benefit may be limited to specific groups of patients.

To identify the optimal candidates for SLND based on preoperative characteristics.

The study included 654 patients who experienced prostate-specific antigen (PSA) rise and nodal recurrence after radical prostatectomy (RP) and underwent SLND at nine tertiary referral centers. Lymph node recurrence was documented by positron emission tomography/computed tomography (PET/CT) scan using either 11C-choline or 68Ga-labeled prostate-specific membrane antigen ligand.

SLND.

The study outcome was early clinical recurrence (eCR) developed within 1 yr after SLND. Multivariable Cox regression analysis was used to develop a predictive model. Multivariable-derived coefficients were used to develop a novel risk calculator. Decision-curve analysis was used to evaluate the net benefit of the predictive model.

Median follow-up was 30 (interquartile range, 16-50) mo among patients without clinical recurrence (CR), and 334 patients developed CR after SLND. In particular, eCR at 1 yr after SLND was observed in 150 patients, with a Kaplan-Meier probability of eCR equal to 25%. The development of eCR was significantly associated with an increased risk of cancer-specific mortality at 3 yr, being 20% versus 1.4% in patients with and without eCR, respectively (p<0.0001). At multivariable analysis, Gleason grade group 5 (hazard ratio [HR]: 2.04; p<0.0001), time from RP to PSA rising (HR: 0.99; p=0.025), hormonal therapy administration at PSA rising after RP (HR: 1.47; p=0.0005), retroperitoneal uptake at PET/CT scan (HR: 1.24; p=0.038), three or more positive spots at PET/CT scan (HR: 1.26; p=0.019), and PSA level at SLND (HR: 1.05; p<0.0001) were significant predictors of CR after SLND. The coefficients of the predictive model were used to develop a risk calculator for eCR at 1 yr after SLND. The discrimination of the model (Harrel'sC index) was 0.75. At decision-curve analysis, the net benefit of the model was higher than the "treat-all" option at all the threshold probabilities.

We reported the largest available series of patients treated with SLND. Roughly 25% of men developed eCR after surgery. We developed the first risk stratification tool to identify the optimal candidate to SLND based on routinely available preoperative characteristics. This tool can be useful to avoid use of SLND in men more likely to progress despite any imaging-guided approach.

The risk of early recurrence after salvage lymph node dissection (SLND) was approximately 25%. In this study, we developed a novel tool to predict the risk of early failure after SLND. This tool will be useful to identify patients who would benefit the most from SLND from other patients who should be spared from surgery.

European urology. 2018 Oct 06 [Epub]

Nicola Fossati, Nazareno Suardi, Giorgio Gandaglia, Carlo A Bravi, Matteo Soligo, R Jeffrey Karnes, Shahrokh Shariat, Antonino Battaglia, Wouter Everaerts, Steven Joniau, Hendrik Van Poppel, Nieroshan Rajarubendra, Inderbir S Gill, Alessandro Larcher, Alexander Mottrie, Maximilian Schmautz, Axel Heidenreich, Almut Kalz, Daniar Osmonov, Klaus-Peter Juenemann, Annika Herlemann, Christian Gratzke, Christian Stief, Francesco Montorsi, Alberto Briganti

Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy., Department of Urology, Mayo Clinic, Rochester, MN, USA., Department of Urology, Medical University of Vienna, Vienna, Austria., University Hospitals Leuven, Department of Urology, Leuven, Belgium., USC institute of Urology, Catherine & Joseph Aresty Department of Urology, University of Southern California, Los Angeles, CA, USA., OLV Ziekenhuis Aalst, Department of Urology, Aalst, Belgium; ORSI Academy, Melle, Belgium., University of Cologne, Department of Urology, Cologne, Germany., Department of Urology and Pediatric Urology, University Hospital Schleswig Holstein, Campus Kiel, Kiel, Germany., Ludwig-Maximilians-University, Department of Urology, Munich, Germany., Ludwig-Maximilians-University, Department of Urology, Munich, Germany; Department of Urology, Albert-Ludwigs-University Freiburg, Germany., Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy. Electronic address: .

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