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Updated: Jun 30, 2026

06:52
Positron Emission Tomography Using 64-Copper as a Tracer for the Study of Copper-Related Disorders
Published on: April 28, 2023
64Cu Hypoxia Imaging Radiotracer Targeting the Human Copper Transporter
Shelly Meron1, Yulia Shenberger1, Ravit Madar2,3,4
1Department of Chemistry, Institute of Nanotechnology and Advanced Materials, Faculty of Exact Sciences, Bar-Ilan University, Ramat-Gan, 5290002, Israel.
Neuromolecular Medicine
|June 29, 2026
Summary
A novel Copper-64 (64Cu) radiotracer, 64Cu-CysPhe, shows promise for imaging tumor hypoxia. This new tracer selectively accumulates in hypoxic regions, improving diagnostic accuracy for cancer detection.
Area of Science:
- Biomedical imaging
- Radiochemistry
- Oncology
Background:
- Hypoxia imaging is crucial in oncology, cardiology, and neurology but faces challenges with diagnostic accuracy.
- Current hypoxia imaging biomarkers often have suboptimal signals, limiting clinical translation.
Purpose of the Study:
- To develop a novel Copper-64 (64Cu)-based radiotracer for enhanced hypoxia detection.
- To evaluate the efficacy of 64Cu-CysPhe in non-invasively imaging hypoxic tumors.
Main Methods:
- Developed a 64Cu-based radiotracer, 64Cu-CysPhe, utilizing the human copper transporter 1 (hCtr1) pathway.
- Performed in-vivo PET-MRI imaging in a murine breast cancer model.
- Conducted immunohistochemical analyses and compared with established radiotracers (64Cu-ATSM, 18F-FDG).
Main Results:
- 64Cu-CysPhe demonstrated selective accumulation in hypoxic tissues via the hCtr1 pathway.
- PET-MRI imaging showed high tumor-to-muscle ratios (>3.0) up to 24 hours post-injection in a murine breast cancer model.
- Immunohistochemistry confirmed preferential localization to hypoxic regions, distinguishing them from necrotic areas, and showed superior sensitivity compared to 64Cu-ATSM and 18F-FDG.
Conclusions:
- 64Cu-CysPhe is a promising novel radiotracer for non-invasive imaging of tumor hypoxia.
- The tracer's mechanism targets cellular copper uptake, enhancing signal and diagnostic accuracy.
- This development could significantly advance functional imaging in oncology.

