A Single Dose of Novel PSMA-Targeting Radiopharmaceutical Agent [ 177 Lu]Ludotadipep for Patients with Metastatic Castration-Resistant Prostate Cancer: Phase I Clinical Trial.
Dongho ShinSeunggyun HaJoo Hyun OSeung Ah RhewChang Eil YoonHyeok Jae KwonHyong Woo MoonYong Hyun ParkSonya Youngju ParkChansoo ParkDae Yoon ChiIe Ryung YooJi Youl LeePublished in: Cancers (2022)
[ 177 Lu]Ludotadipep, which enables targeted delivery of beta-particle radiation to prostate tumor cells, had been suggested as a promising therapeutic option for mCRPC. From November 2020 to March 2022, a total of 30 patients were enrolled for single dose of [ 177 Lu]Ludotadipep RPT, 6 subjects in each of the 5 different activity groups of 1.9 GBq, 2.8 GBq, 3.7 GBq, 4.6 GBq, and 5.6 GBq. [ 177 Lu]Ludotadipep was administered via venous injection, and patients were hospitalized for three days to monitor for any adverse effects. Serum PSA levels were followed up at weeks 1, 2, 3, 4, 6, 8, and 12, and PSMA PET/CT with [ 18 F]Florastamin was obtained at baseline and again at weeks 4 and 8. The subjects required positive PSMA PET/CT prior to [ 177 Lu]Ludotadipep administration. Among the 29 subjects who received [ 177 Lu]Ludotadipep, 36 treatment emergent adverse events (TEAEs) occurred in 17 subjects (58.6%) and 4 adverse drug reactions (ADRs) in 3 subjects (10.3%). Of the total 24 subjects who had full 12-week follow-up data, 16 (66.7%) showed decrease in PSA of any magnitude, and 9 (37.5%) showed a decrease in PSA by 50% or greater. A total of 5 of the 24 patients (20.8%) showed disease progression (PSA increase of 25% or higher from the baseline) at the 12th week following single dose of [ 177 Lu]Ludotadipep. These data thus far suggest that [ 177 Lu]Ludotadipep could be a promising RPT agent with low toxicity in mCRPC patients who have not been responsive to conventional treatments.
Keyphrases
- pet ct
- end stage renal disease
- prostate cancer
- ejection fraction
- clinical trial
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- adverse drug
- oxidative stress
- computed tomography
- machine learning
- radical prostatectomy
- artificial intelligence
- big data
- study protocol
- ultrasound guided
- cancer therapy
- combination therapy