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This prospective clinical study aims to evaluate the predictive power of PSMA PET imaging in patients with advanced prostate cancer who are receiving systemic drug therapies.
The primary goal is to identify prognostic factors derived from PSMA PET imaging. These factors include the number of cancer lesions, the size of the tumor, and measurements known as SUVmax and SUVmean. By identifying these factors, the investigators aim to better group patients and predict those who may have a less favorable outcome. While PSMA PET imaging is highly accurate in locating cancer sites within the body, its ability to predict treatment response has not yet been thoroughly studied in a prospective manner for this patient population.
This study will assess the predictive role of PSMA PET imaging and its ability to forecast treatment response across a range of systemic therapies, including hormone therapy and chemotherapy, in patients with both hormone-sensitive (HSPC) and castration-resistant (CRPC) prostate cancer.
Full description
Purpose: to determine the prognostic value of PSMA PET imaging in patients diagnosed with advanced prostate cancer who are undergoing systemic therapies. The study will enroll patients with either hormone-sensitive (HSPC) or castration-resistant (CRPC) disease.
Design of the register: observational, pharmacological, non-profit, prospective, multicentric.
Duration of the record: The expected duration for the collection of PET/CT-PSMA examinations is 9 years.
The primary objective is to evaluate the predictive capacity of PSMA PET, focusing on quantitative parameters such as the number of lesions, tumor volume (as assessed by metabolic tumor volume - MTV), maximum standardized uptake value (SUVmax), and mean standardized uptake value (SUVmean), to stratify patient risk and predict unfavorable clinical outcomes (e.g., progression-free survival, overall survival).
This research will address the existing knowledge gap regarding the predictive ability of PSMA PET beyond its established role in disease localization. Specifically, the study will investigate if PSMA PET parameters can forecast response to a spectrum of systemic treatments, including but not limited to: abiraterone, enzalutamide, apalutamide, darolutamide, docetaxel, cabazitaxel, olaparib, radiotherapy, 177-lutetium PSMA, and 225-actinium PSMA.
Secondary objectives include:
This study will leverage quantitative imaging data obtained from PSMA PET to develop predictive models that may refine patient stratification and personalize treatment strategies for advanced prostate cancer.
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1,300 participants in 1 patient group
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Central trial contact
Andrea Farolfi, MD; Andrea Di Giorgio, MD
Data sourced from clinicaltrials.gov
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