Development of Cyclic Peptide‐Based Radiotracers for uPAR

The urokinase plasminogen activator (uPA) system has garnered attention as a promising biomarker, with the uPA receptor (uPAR) playing a central role in system regulation and demonstrating strong associations with tumorigenicity, invasion, and metastasis. Radioligands targeting uPAR have emerged as powerful tools for the early diagnosis and treatment of malignant tumors. In this study, we developed and evaluated three novel cyclic peptide-based positron emission tomography (PET) radioligands, denoted as [⁶⁴Cu]CARP-1, [⁶⁴Cu]CARP-2, and [⁶⁴Cu]CARP-3, for uPAR imaging. These radioligands differ in the chiral configuration of their disulfide bond crosslinkers, which influences their binding ability and pharmacokinetic profiles. Among the three, [⁶⁴Cu]CARP-2 demonstrated optimal tumor radioactivity accumulation, specificity, and favorable pharmacokinetics in an MC38 tumor-bearing mouse model. Compared to [⁶⁴Cu]DOTA-AE105, a well-characterized radiotracer currently under clinical investigation, [⁶⁴Cu]CARP-2 exhibited reduced non-specific uptake and rapid clearance from normal tissues. These attributes highlight its potential as a diagnostic tool with improved imaging accuracy. The promising preclinical performance of [⁶⁴Cu]CARP-2 underscores its potential for further clinical investigation as a uPAR-targeting radiotracer.

Authors

Institutions

Publication Details

Journal
ChemMedChem
Published
2025-05-01
DOI
https://doi.org/10.1002/cmdc.202500061
Citations
2
Primary Topic
Peptidase Inhibition and Analysis
Type
article
Field-Weighted Citation Impact
2.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of Cyclic Peptide‐Based Radiotracers for uPAR

Ming‐Rong Zhang, Xingkai Wang, Jieting Shen, Hailong Zhang et al.
2 citations
ChemMedChem
Peptidase Inhibition and Analysis
2.09
article

Development of Cyclic Peptide‐Based Radiotracers for uPAR

Ming‐Rong Zhang, Xingkai Wang, Jieting Shen, Hailong Zhang, Rui Wang, Lulu Zhang, Yingzi Zhang, Xu Zhang, Kuan Hu, Siqi Zhang
article en
2 citations

Abstract

The urokinase plasminogen activator (uPA) system has garnered attention as a promising biomarker, with the uPA receptor (uPAR) playing a central role in system regulation and demonstrating strong associations with tumorigenicity, invasion, and metastasis. Radioligands targeting uPAR have emerged as powerful tools for the early diagnosis and treatment of malignant tumors. In this study, we developed and evaluated three novel cyclic peptide-based positron emission tomography (PET) radioligands, denoted as [⁶⁴Cu]CARP-1, [⁶⁴Cu]CARP-2, and [⁶⁴Cu]CARP-3, for uPAR imaging. These radioligands differ in the chiral configuration of their disulfide bond crosslinkers, which influences their binding ability and pharmacokinetic profiles. Among the three, [⁶⁴Cu]CARP-2 demonstrated optimal tumor radioactivity accumulation, specificity, and favorable pharmacokinetics in an MC38 tumor-bearing mouse model. Compared to [⁶⁴Cu]DOTA-AE105, a well-characterized radiotracer currently under clinical investigation, [⁶⁴Cu]CARP-2 exhibited reduced non-specific uptake and rapid clearance from normal tissues. These attributes highlight its potential as a diagnostic tool with improved imaging accuracy. The promising preclinical performance of [⁶⁴Cu]CARP-2 underscores its potential for further clinical investigation as a uPAR-targeting radiotracer.

ChemMedChemVol. 20(10)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Soochow University (CN), National Institutes for Quantum Science and Technology (JP), Second Affiliated Hospital of Soochow University (CN), Lanzhou University (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation, Fundamental Research Funds for the Central Universities
Good health and well-being
Openalex Percentile: Top 13%
Peptidase Inhibition and Analysis
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.