Structural modifications toward improved lead-203/lead-212 peptide-based image-guided alpha-particle radiopharmaceutical therapies for neuroendocrine tumors
Radionuclide therapy
Biodistribution
Conjugate
DOTA
DOI:
10.1007/s00259-023-06494-9
Publication Date:
2023-11-13T09:01:48Z
AUTHORS (11)
ABSTRACT
Abstract Purpose The lead-203 ( 203 Pb)/lead-212 212 Pb) elementally identical radionuclide pair has gained significant interest in the field of image-guided targeted alpha-particle therapy for cancer. Emerging evidence suggests that Pb-labeled peptide-based radiopharmaceuticals targeting somatostatin receptor subtype 2 (SSTR2) may provide improved effectiveness compared to beta-particle-based therapies neuroendocrine tumors (NETs). This study aims improve performance SSTR2-targeted imaging and through structural modifications Tyr 3 -octreotide (TOC)-based radiopharmaceuticals. Methods New peptides were designed synthesized with goal optimizing incorporation Pb isotopes use a modified cyclization technique; introduction Pb-specific chelator (PSC); insertion polyethylene glycol (PEG) linkers. binding affinity cellular uptake evaluated using pancreatic AR42J (SSTR2+) tumor cells biodistribution assessed an xenograft mouse model. A lead peptide was identified (i.e., PSC-PEG -TOC), which then further efficacy studies. Results radiopeptide drug conjugate (RPDC) — [ Pb]Pb-PSC-PEG -TOC significantly tumor-targeting properties, including accumulation retention as Pb]Pb-DOTA 0 -Tyr (DOTATOC). Additionally, RPDC exhibited faster renal clearance than DOTATOC counterpart. These advantageous characteristics resulted dose-dependent therapeutic effect minimal signs toxicity Fractionated administrations 3.7 MBq over three doses anti-tumor effectiveness, resulting 80% survival (70% complete response) 120 days Conclusion Structural linker compositions pharmacokinetics (PK) 203/212 NET theranostics. findings suggest is promising candidate Pb-based NETs other types cancers express SSTR2.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (50)
CITATIONS (11)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....