Real-world outcomes of [<sup>177</sup>Lu]Lu-PSMA-I&T in [<sup>18</sup>F]FDG-positive metastatic castration-resistant prostate cancer: factors related to response and survival.
retrospective_cohort · Level III
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- Also identified by DOI 10.1007/s00259-026-07972-6.
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Abstract
Little is known about predictors of response to radionuclide therapy with PSMA-ligands in patients with [<sup>18</sup>F]FDG-positive metastatic castration-resistant prostate cancer (mCRPC). We assessed the correlation between baseline characteristics, including dual tracer PET parameters, and response to [<sup>177</sup>Lu]Lu-PSMA-I&T in a cohort of patients with [<sup>18</sup>F]FDG-positive mCRPC. Prognostic factors related to progression-free survival (PFS) and overall survival (OS) were also investigated. mCRPC patients who underwent [<sup>68</sup>Ga]Ga-PSMA-11 and [<sup>18</sup>F]FDG PET/CT prior to [<sup>177</sup>Lu]Lu-PSMA-I&T were retrospectively evaluated. Only [<sup>18</sup>F]FDG-positive patients were included in the analysis. A semi-automatic segmentation tool was applied to measure the whole-body maximum standardized uptake value (SUV<sub>max</sub>), mean standardized uptake value (SUV<sub>mean</sub>), metabolic tumor volume (MTV), and total lesion uptake (TLU) on both PET/CTs. PSA response was defined as ≥ 30% and ≥ 50% decline. Imaging response, assessed two months after the last cycle, was defined according to RECIST 1.1 and/or PSMA PET progression (PPP) criteria. Clinical, biochemical, and imaging-based factors were correlated to response to treatment, PFS, and OS. Twenty-five [<sup>18</sup>F]FDG-positive patients who received [<sup>177</sup>Lu]Lu-PSMA-I&T were included. PSA30 and PSA50 responses were achieved in 11/25 (44%) and in 9/25 (36%) patients, respectively. In the univariate analysis [<sup>68</sup>Ga]Ga-PSMA-11 SUV<sub>mean</sub> (p = 0.022) and [<sup>68</sup>Ga]Ga-PSMA/[<sup>18</sup>F]FDG SUV<sub>mean</sub> ratio (p = 0.021) were significantly associated with PSA30 response. [<sup>68</sup>Ga]Ga-PSMA-11 SUV<sub>mean</sub> was also significant in the multivariate model. ROC analysis indicated an optimal [<sup>68</sup>Ga]Ga-PSMA-11 SUV<sub>mean</sub> cutoff value of 10.23 (AUC = 0.741), and a best discriminating [<sup>68</sup>Ga]Ga-PSMA/[<sup>18</sup>F]FDG SUV<sub>mean</sub> cutoff ratio of 2.08 (AUC = 0.727). In the univariate analysis for radiological PFS (rPFS), high ALP (p = 0.023), [<sup>68</sup>Ga]Ga-PSMA-11 MTV (p = 0.011), [<sup>68</sup>Ga]Ga-PSMA-11 TLU (p = 0.015), and [<sup>18</sup>F]FDG MTV (p = 0.013) were significantly associated with shorter rPFS. [<sup>68</sup>Ga]Ga-PSMA-11 MTV showed a borderline association with rPFS in the multivariate model (p = 0.061). Hemoglobin levels (p = 0.008), ALP (p = 0.018) and PSA (p = 0.023) values before treatment were associated with OS, as well as [<sup>68</sup>Ga]Ga-PSMA-11 MTV (p = 0.003), [<sup>68</sup>Ga]Ga-PSMA-11 TLU (p = 0.025), and [<sup>18</sup>F]FDG MTV (p = 0.024). However, no independent predictors of OS were identified in the multivariate analysis. Our preliminary results suggest that a whole-body [<sup>68</sup>Ga]Ga-PSMA-11 SUV<sub>mean</sub> higher than 10 and a [<sup>68</sup>Ga]Ga-PSMA-11/[<sup>18</sup>F]FDG SUV<sub>mean</sub> ratio > 2 may serve as useful predictors for identifying patients likely to achieve at least a 30% reduction in PSA levels, even among [<sup>18</sup>F]FDG-positive mCRPC patients. Furthermore, our findings support the prognostic significance of tumor burden either calculated by imaging-based volumetric parameters or by known biochemical markers of disease.