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Updated: Jul 5, 2026
Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
New prostate cancer risk groups by PSMA-PET (PPP3): an international, retrospective, registry-based cohort study
Madeleine J Karpinski1, Caner Civan2, Isabel Rauscher3
1Department of Nuclear Medicine, DKTK and NCT University Hospital Essen, Essen, Germany; Department of Nuclear Medicine, University Hospital Münster and West German Cancer Center, Münster, Germany; Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Background:
Prostate-specific membrane antigen (PSMA)-PET usage in patients with prostate cancer is growing rapidly. Thus, novel risk-group definitions based on PSMA-PET are urgently needed for guidelines, clinical use, and trial study design. We report improved risk classification based on PSMA-PET Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE; PPP) nomograms (PPP3) to prognosticate 3-year, 5-year, and 7-year overall survival.
Methods:
In this international, retrospective, registry-based cohort study, we collected data from the PROMISE PET registry with ongoing overall survival follow-up. Male patients (aged ≥18 years) with histological proven prostate cancer at any disease stage and any performance status, who underwent any PSMA-PET between Dec 6, 2012, and June 26, 2024, were included in the registry. Patients with neuroendocrine pattern or metastasised or disseminated malignancy other than prostate cancer were excluded. 35 investigator sites in Europe, Asia, Australia, North America, and South America were split pairwise (2:1) into development and validation cohorts. Entire investigator sites were split pairwise according to their site characteristics (ie, number of patients per disease group, country, follow-up). The primary study objective was overall survival. PPP3 nomograms were created based on Cox regression models with least absolute shrinkage and selection operator penalty to prognosticate 3-year, 5-year, and 7-year overall survival. Calibration curves and Harrell's c indices were applied and head-to-head comparison with clinical risk scores separated for each disease subgroup was conducted. Based on the visual PPP3 nomogram, a simplified risk-stratification table was created.
Findings:
We analysed 11 154 patients and 7253 were included in the development cohort and 3901 in the validation cohort. Median follow-up to censoring or death was 4·9 years (IQR 3·5-6·6). Clinical disease group and PROMISE metrics were combined into visual and quantitative PPP3 nomograms, respectively. C indices were 0·83 (95% CI 0·82-0·84) for the visual nomogram and 0·84 (0·82-0·85) for the quantitative nomogram. Both nomograms and the simplified risk stratification table were accurate and equal or superior compared with established clinical risk scores (International Staging Collaboration for Cancer of the Prostate, European Association of Urology, a nomogram defined by Gafita and colleagues, and National Comprehensive Cancer Network).
Interpretation:
We present new risk nomograms by PROMISE along with a simple table to prognosticate 3-year, 5-year, and 7-year overall survival in prostate cancer. PROMISE and PPP3 assessments are freely available online for global implementation.
Funding:
German Research Foundation, Prostate Cancer Foundation, Innovative Health Initiative Joint Undertaking, Novartis, AstraZeneca, and Amgen.
