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Published on: September 19, 2014
Uridine-Based PET/NIRF Dual-Modality imaging for precision tumor diagnosis and surgery
Linjie Bian1,2,3, Panli Li1,2,3,4, Yigang Chen5
1Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
A new dual-modality imaging platform targets equilibrative nucleoside transporter 1 (ENT1)-mediated uridine transport for enhanced cancer detection. This approach aids in precise tumor imaging and surgical navigation, improving diagnostic accuracy and treatment outcomes.
Area of Science:
- Oncology
- Molecular Imaging
- Biochemistry
Background:
- Cancer cells exhibit metabolic reprogramming to survive nutrient deprivation.
- Uridine is crucial for pyrimidine metabolism, nucleotide synthesis, and redox balance.
- Lack of high-sensitivity imaging tools for equilibrative nucleoside transporter 1 (ENT1)-mediated uridine transport hinders precise cancer diagnosis and surgical guidance.
Purpose of the Study:
- To develop and validate a novel dual-modality imaging platform targeting ENT1-mediated uridine transport.
- To enable precise tumor imaging and intraoperative surgical navigation.
Main Methods:
- Synthesis of [68Ga]Ga-DOTA-FZUD for PET and ICG-FZUD for NIR-II fluorescence imaging.
- Small-animal PET/CT and NIR-II fluorescence imaging in various cancer models.
- Ex vivo imaging of human gastric cancer surgical specimens to confirm tumor targeting.
Main Results:
- [68Ga]Ga-DOTA-FZUD showed high tumor uptake in models with higher ENT1 expression across pancreatic, gastric, breast, and glioblastoma.
- ICG-FZUD provided high-contrast NIR-II imaging, clearly delineating tumor margins and penetrating the blood-brain barrier.
- Ex vivo analysis confirmed selective tumor uptake in human gastric cancer tissues, correlating with histopathology.
Conclusions:
- The ENT1-targeted uridine transport PET/NIRF dual-modality imaging platform offers an alternative to glucose-based imaging.
- This platform provides real-time intraoperative navigation capabilities.
- It shows significant promise for early cancer diagnosis, precision surgery, and has strong translational potential.
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