¹⁸F-FDG PET predicts survival after pretargeted radioimmunotherapy in patients with progressive metastatic medullary thyroid carcinoma.

PURPOSE: PET is a powerful tool for assessing targeted therapy. Since (18)F-FDG shows a potential prognostic value in medullary thyroid carcinoma (MTC), this study evaluated (18)F-FDG PET alone and combined with morphological and biomarker evaluations as a surrogate marker of overall survival (OS) in patients with progressive metastatic MTC treated with pretargeted anti-CEA radioimmunotherapy (pRAIT) in a phase II clinical trial.
METHODS: Patients underwent PET associated with morphological imaging (CT and MRI) and biomarker evaluations, before and 3 and 6 months, and then every 6 months, after pRAIT for 36 months. A combined evaluation was performed using anatomic, metabolic and biomarker methods. The prognostic value of the PET response was compared with demographic parameters at inclusion including age, sex, RET mutation, time from initial diagnosis, calcitonin and CEA concentrations and doubling times (DT), SUVmax, location of disease and bone marrow involvement, and with response using RECIST, biomarker concentration variation, impact on DT, and combined methods.
RESULTS: Enrolled in the study were 25 men and 17 women with disease progression. The median OS from pRAIT was 3.7 years (0.2 to 6.5 years) and from MTC diagnosis 10.9 years (1.7 to 31.5 years). After pRAIT, PET/CT showed 1 patient with a complete response, 4 with a partial response and 24 with disease stabilization. The combined evaluation showed 20 responses. For OS from pRAIT, univariate analysis showed the prognostic value of biomarker DT (P = 0.011) and SUVmax (P = 0.038) calculated before pRAIT and impact on DT (P = 0.034), RECIST (P = 0.009), PET (P = 0.009), and combined response (P = 0.004) measured after pRAIT. PET had the highest predictive value with the lowest Akaike information criterion (AIC 74.26) as compared to RECIST (AIC 78.06), biomarker variation (AIC 81.94) and impact on DT (AIC 79.22). No benefit was obtained by combining the methods (AIC 78.75). This result was confirmed by the analysis of OS from MTC diagnosis.
CONCLUSION: (18)F-FDG PET appeared as the most potent and simplest prognostic method to predict survival in patients with progressive MTC treated with pRAIT. Biomarker DT before pRAIT also appeared as an independent prognostic factor, but no benefit was found by adding morphological and biomarker evaluation to PET assessment.