What’s behind 68Ga-PSMA-11 uptake in primary prostate cancer PET? Investigation of histopathological parameters and immunohistochemical PSMA expression patterns

Purpose Prostate-specific membrane antigen (PSMA-) PET has become a promising tool in staging and restaging of prostate carcinoma (PCa). However, specific primary tumour features might impact accuracy of PSMA-PET for PCa detection. We investigated histopathological parameters and immunohistochemical...

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Veröffentlicht in:European journal of nuclear medicine and molecular imaging 2021-11, Vol.48 (12), p.4042-4053
Hauptverfasser: Rüschoff, Jan H., Ferraro, Daniela A., Muehlematter, Urs J., Laudicella, Riccardo, Hermanns, Thomas, Rodewald, Ann-Katrin, Moch, Holger, Eberli, Daniel, Burger, Irene A., Rupp, Niels J.
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Sprache:eng
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Zusammenfassung:Purpose Prostate-specific membrane antigen (PSMA-) PET has become a promising tool in staging and restaging of prostate carcinoma (PCa). However, specific primary tumour features might impact accuracy of PSMA-PET for PCa detection. We investigated histopathological parameters and immunohistochemical PSMA expression patterns on radical prostatectomy (RPE) specimens and correlated them to the corresponding 68 Ga-PSMA-11-PET examinations. Methods RPE specimens of 62 patients with preoperative 68 Ga-PSMA-11-PET between 2016 and 2018 were analysed. WHO/ISUP grade groups, growth pattern (expansive vs. infiltrative), tumour area and diameter as well as immunohistochemical PSMA heterogeneity, intensity and negative tumour area (PSMA %neg ) were correlated with spatially corresponding SUV max on 68 Ga-PSMA-11-PET in a multidisciplinary analysis. Results All tumours showed medium to strong membranous (2–3 +) and weak to strong cytoplasmic (1–3 +) PSMA expression. Heterogeneously expressed PSMA was found in 38 cases (61%). Twenty-five cases (40%) showed at least 5% and up to 80% PSMA %neg . PSMA %neg , infiltrative growth pattern, smaller tumour area and diameter and WHO/ISUP grade group 2 significantly correlated with lower SUV max values. A ROC curve analysis revealed 20% PSMA %neg as an optimal cutoff with the highest sensitivity and specificity (89% and 86%, AUC 0.923) for a negative PSMA-PET scan. A multiple logistic regression model revealed tumoural PSMA %neg ( p  
ISSN:1619-7070
1619-7089
DOI:10.1007/s00259-021-05501-1