New prostate cancer risk groups by PSMA-PET (PPP3).
Abstract
20 Background: PSMA-PET usage in prostate cancer patients is growing rapidly. Thus, novel risk group definitions based on PSMA-PET are urgently needed for guidelines, clinical use and study design. Here, we present improved risk classification based on PSMA-PET PROMISE nomograms (PPP3) to prognosticate 3-, 5- and 7-year overall survival (OS) for the first time. Methods: We included male patients with histologically proven prostate cancer at any disease stage, who underwent PSMA-PET for any indication in the PROMISE registry (NCT06320223). 35 investigator sites from Europe, Asia, Australia, North- and South America were split approximately 2:1 into development and validation cohorts considering equal distribution of site characteristics. Updated PPP3 nomograms were created based on Cox regression models with LASSO penalty for overall survival from the development cohort. We applied calibration curves and Harrell´s C-indices to assess the performance of both PPP3 nomograms. Based on the visual PPP3 nomogram, a simplified risk stratification table was created. Head-to-head comparison of PPP3 nomograms with clinical risk scores separated for each disease subgroup was conducted using area under the receiver operating characteristics curve. Results: We analyzed 11154 patients (n=7253 development and n=3901 validation cohorts) with a median OS follow-up of 4.9 (interquartile range 3.5-6.6) years and 3109 (27.9%) recorded deaths. Clinical disease group and PROMISE metrics (presence of distant metastases, PSMA expression score and total tumor load) were combined into visual and quantitative PPP3 nomograms, respectively. In the validation cohort we reached C-indices of 0.83 (95% confidence interval [CI] 0.82-0.84) for the visual nomogram and 0.84 (95% CI 0.82-0.85) for the quantitative nomogram, respectively. Both PPP3 nomograms and the simplified risk stratification table (Table 1) were accurate and equal or superior compared to established clinical risk scores (STARCAP, EAU, Gafita, NCCN). Conclusions: We created new risk nomograms by PROMISE along with a simple risk stratification table to prognosticate 3-, 5- and 7-year OS in prostate cancer. PROMISE and PPP3 assessments are available online free of charge (promise-pet.org) for global implementation. Visual PSMA-PET and PROMISE metrics for risk stratification in prostate cancer patients. 1 point 2 points 3 points Disease Group nmCRPC, mHSPC, mCRPC miM1a yes miM1b oligo diss or dmi miM1c yes Total lesion count 6-20 >20 PSMA expression score (highest) 3 Sum of the points results in the following risk groups: i) low risk: 0 points, ii) intermediate risk: 1-4 points, iii) high risk: ≥5 points. nmCRPC=non-metastatic castration resistant prostate cancer. mHSPC=metastatic hormone-sensitive prostate cancer. mCRPC=metastatic castration-resistant prostate cancer. diss=disseminated. dmi=diffuse marrow involvement. PSMA =Prostate Specific Membrane Antigen.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Madeleine Josefine Karpinski
Department of Nuclear Medicine, University of Duisburg-Essen, and German Cancer Consortium (DKTK), NCT, University Hospital Essen, Essen, Germany
Boris A. Hadaschik
University of Duisburg-Essen, Essen, Germany
Caner Civan
University Hospital Essen, Germany, Essen, Germany
Isabel Rauscher
Sebastian Hoberück
Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
Jeremie Calais
Luca F. Valle, MD, Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA, Radiation Oncology Service, Greater Los Angeles VA Healthcare System, Los Angeles, CA, University of California Los Angeles Jonsson Comprehensive Cancer Center, Los Angeles, CA, Jeremie Calais, MD, PhD, University of California Los Angeles Jonsson Comprehensive Cancer Center, Los Angeles, CA, Department of Nuclear Medicine, University of California Los Angeles, Los Angeles, CA, Amar U. Kishan, MD, Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA, University of California Los Angeles Jonsson Comprehensive Cancer Center, Los Angeles, CA
Constantin Lapa
Helen Scholtissek
University Hospital Augsburg, Augsburg, Germany
Andrea Di Giorgio
Nuclear Medicine, Alma Mater Studiorum University of Bologna, Bologna, Italy
Dominic Ufton
University Hospital Cologne, Cologne, Germany
Jolanta Kunikowska
Nuclear Medicine Department, Medical University of Warsaw, Warsaw, Poland
Laura Evangelista
IRCCS Humanitas University, Milan, Italy
Andrej Vondrak
Izotopcentrum Nitra, Nitra, Slovakia
Matteo Bauckneht
Adrien Holzgreve
Anders Bjartell
Skåne University Hospital, Department of Urology, Malmö, Sweden
Sazan Rasul
Medical University of Vienna, Vienna, Austria
Ken Herrmann
Wofgang P. Fendler
Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK), University Hospital Essen, Essen, Germany
Kambiz Rahbar