par Chan, David Lok Hang D.L.;Hayes, Aimee A.R.;Karfis, Ioannis ;Conner, Alice;Furtado O’Mahony, Luke;Mileva, Magdalena ;Bernard, Elizabeth;Roach, Paul;Marin, Gwennaëlle ;Pavlakis, Nick;Schembri, Geoffrey;Gnanasegaran, Gopinath;Marin, Clementine;Vanderlinden, Bruno;Navalkissoor, Shaunak;Caplin, Martyn Evan;Flamen, Patrick ;Toumpanakis, Christos;Bailey, Dale D.L.
Référence British Journal of Cancer, 128, 4, page (549-555)
Publication Publié, 2023-02
Référence British Journal of Cancer, 128, 4, page (549-555)
Publication Publié, 2023-02
Article révisé par les pairs
Résumé : | Background: Gastroenteropancreatic neuroendocrine neoplasms (GEPNENs) are heterogeneous in clinical course, biology, and outcomes. The NETPET score predicts survival by scoring uptake on dual [68Ga]DOTATATE and [18F]FDG PET/CT scans. We aimed to validate previous single-centre findings in a multicentre, international study. Methods: Dual scans were assigned a NETPET score of P1 (DOTATATE positive/FDG negative), P2–4 (DOTATATE positive/FDG positive), or P5 (DOTATATE negative/FDG positive). NETPET score, histological grade, age at diagnosis, and presence/absence of extrahepatic disease were compared to overall survival/time to progression on univariate and multivariate analysis. Results: 319 metastatic/unresectable GEPNEN patients were included. The NETPET score was significantly associated with overall survival and time to progression on univariate and multivariate analysis (all p < 0.01). Median overall survival/time to progression was 101.8/25.5 months for P1, 46.5/16.7 months for P2–4, and 11.5/6.6 months for P5. Histological grade correlated with overall survival and time to progression on univariate and multivariate analysis (all p < 0.01), while presence/absence of extrahepatic disease did not. Age at diagnosis correlated with overall survival on univariate and multivariate analysis (p < 0.01). The NETPET score also correlated with histological grade (p < 0.001). Conclusion: This study validates the NETPET score as a prognostic biomarker in metastatic GEPNENs, capturing the complexity of dual PET imaging. |