PET-Based Outcome Prediction in Patients with Prostate Cancer Scheduled for [ <sup>225</sup> Ac]Ac-PSMA Radiopharmaceutical Therapy
<sup>225</sup>Ac-labeled prostate-specific membrane antigen (PSMA) radiopharmaceutical therapy (RPT) has emerged as a promising treatment option in advanced metastatic castration-resistant prostate cancer. We aimed to identify predictors for outcome including established clinical and PSMA-directed imaging parameters at baseline. <b>Methods:</b> Twenty-six patients with metastatic castration-resistant prostate cancer who were receiving [<sup>225</sup>Ac]Ac-PSMA-I&T RPT were included in this retrospective monocentric study. In each patient, all metastases on pretherapeutic [<sup>18</sup>F]F-PSMA-1007 PET/CT were segmented, enabling assessment of averaged SUV<sub>max</sub>, SUV<sub>mean</sub>, as well as summed PSMA tumor volume (PSMA-TV) and PSMA-total lesion quotient (PSMA-TLQ; defined as PSMA-TV divided by SUV<sub>mean</sub>). PET parameters were then correlated with the relative prostate-specific antigen (PSA) change after 2 cycles of [<sup>225</sup>Ac]Ac-PSMA-I&T RPT. In addition, the predictive values for early progressive disease (PD; defined as a PSA increase of more than 25% or PD according to RECIP 1.0) after 2 cycles, progression-free survival (PFS), and overall survival (OS) were explored. <b>Results:</b> SUV<sub>max</sub> (<i>r</i> = -0.42, <i>P</i> = 0.031) and SUV<sub>mean</sub> (<i>r</i> = -0.4, <i>P</i> = 0.046) correlated significantly with PSA change after 2 cycles, but PSMA-TV (<i>P</i> = 0.51) and PSMA-TLQ (<i>P</i> = 0.83) did not. Eleven patients (42%) demonstrated early PD. SUV<sub>max</sub> (odds ratio, 0.769; <i>P</i> = 0.032) and SUV<sub>mean</sub> (odds ratio, 0.427; <i>P</i> = 0.041) were predictive for early PD. SUV<sub>mean</sub> emerged as the strongest predictor for prolonged PFS (hazard ratio [HR], 0.501; <i>P</i> = 0.006) with SUV<sub>max</sub> also trending toward significance (HR, 0.914; <i>P</i> = 0.054). Patients with a high SUV<sub>mean</sub> achieved a longer median PFS of 134 d compared with 39 d in patients with low SUV<sub>mean</sub> (HR, 0.369; <i>P</i> = 0.041). PSMA-TLQ (HR, 1.007; <i>P</i> = 0.027) and PSMA-TV (HR, 1.001; <i>P</i> = 0.037) were predictive for OS. Patients with a low PSMA-TLQ (reflecting low PSMA-TV in combination with high SUV<sub>mean</sub>) achieved a longer median OS of 375 d compared with 148 d in patients with high PSMA-TLQ (HR, 2.84; <i>P</i> = 0.043). <b>Conclusion:</b> In patients scheduled for [<sup>225</sup>Ac]Ac-PSMA-I&T RPT, SUV<sub>mean</sub> on pretherapeutic [<sup>18</sup>F]F-PSMA-1007 PET/CT is predictive for early treatment response by identifying individuals prone to early PD and shorter PFS. In addition, PSMA-TLQ is associated with OS. As such, pretherapeutic PSMA PET-based quantification may optimize patient selection for targeted α-RPT.
Authors
- Ralph A. Bundschuh (ORCID: https://orcid.org/0000-0001-7291-9372)
- Vera Wenter (ORCID: https://orcid.org/0000-0001-7385-5702)
- Nina-Sophie Schmidt-Hegemann (ORCID: https://orcid.org/0000-0002-2091-3603)
- Gabriel T. Sheikh (ORCID: https://orcid.org/0000-0002-7026-9203)
- Jozefina Casuscelli (ORCID: https://orcid.org/0000-0002-9899-1986)
- R. Werner
- Liam Widjaja (ORCID: https://orcid.org/0000-0002-0243-9338)
- Konrad Klimek
- Astrid Delker
- Mathias J. Zacherl
- Sophie C. Kunte (ORCID: https://orcid.org/0009-0003-3175-952X)
- Martin Pomper
- Franz J. Gildehaus
- Christian Stief
Institutions
- University of North Carolina at Chapel Hill (US)
- Helmholtz-Zentrum Dresden-Rossendorf (DE)
- LMU Klinikum (DE)
- University Hospital Carl Gustav Carus (DE)
- Huawei German Research Center (DE)
- Deutsches Konsortium für Translationale Krebsforschung (DE)
- Ludwig-Maximilians-Universität München (DE)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Journal of Nuclear Medicine
- Published
- 2026-01-29
- DOI
- https://doi.org/10.2967/jnumed.125.270677
- Primary Topic
- Prostate Cancer Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00