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New prostate cancer risk groups by PSMA-PET (PPP3): an international, retrospective, registry-based cohort study

  • Madeleine J. Karpinski
  • , Caner Civan
  • , Isabel Rauscher
  • , Osman Güven
  • , Matthias Eiber
  • , Sebastian Hoberück
  • , Matthias Miederer
  • , Ralph A. Bundschuh
  • , Tobias Hölscher
  • , Jeremie Calais
  • , Lela Theus
  • , Andrew T. Nguyen
  • , Helen Scholtissek
  • , Constantin Lapa
  • , Andrea Di Giorgio
  • , Andrea Farolfi
  • , Dominic Ufton
  • , Alexander Drzezga
  • , Jolanta Kunikowska
  • , Kacper Pełka
  • Laura Evangelista, Glenn Bauman, Göksel Alçın, Stephan Beintner-Skawran, Mohd Fazrin Mohd Rohani, Jonathan Miksch, Anika Hüsing, Claudia Kesch, Ken Herrmann, Martin Stuschke, Lale Umutlu, Andrei Gafita, Michael S. Hofman, Thomas A. Hope, Karolien Goffin, Felix Kind, Daniele A. Pizzuto, Timo F.W. Soeterik, Halil Kömek, Louise Emmett, Andrej Vondrak, Tomas Pinter, Francesco Lanfranchi, Matteo Bauckneht, Lena M. Unterrainer, Adrien Holzgreve, Anders Bjartell, Elin Trägårdh, Sazan Rasul, Marcin Miszczyk,

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)480-490
Number of pages11
JournalThe Lancet Oncology
Volume27
Issue number4
Early online date9 Mar 2026
DOIs
Publication statusPublished - Apr 2026

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