Pre- and Intraoperative Visualization of GRPR-Expressing Solid Tumors: Preclinical Profiling of Novel Dual-Modality Probes for Nuclear and Fluorescence Imaging.
Marjolein VerhoevenMaryana HandulaLilian van den BrinkCorrina M A de RidderDebra C StuurmanYann SeimbilleSimone U DalmPublished in: Cancers (2023)
Image-guided surgery using a gastrin-releasing peptide receptor (GRPR)-targeting dual-modality probe could improve the accuracy of the resection of various solid tumors. The aim of this study was to further characterize our four previously developed GRPR-targeting dual-modality probes that vary in linker structures and were labeled with indium-111 and sulfo-cyanine 5. Cell uptake studies with GRPR-positive PC-3 cells and GRPR-negative NCI-H69 cells confirmed receptor specificity. Imaging and biodistribution studies at 4 and 24 h with 20 MBq/1 nmol [ 111 In]In- 12 - 15 were performed in nude mice bearing a PC-3 and NCI-H69 xenograft, and showed that the probe with only a p ADA linker in the backbone had the highest tumor-to-organ ratios (T/O) at 24 h after injection (T/O > 5 for, e.g., prostate, muscle and blood). For this probe, a dose optimization study with three doses (0.75, 1.25 and 1.75 nmol; 20 MBq) revealed that the maximum image contrast was achieved with the lowest dose. Subsequently, the probe was successfully used for tumor excision in a simulated image-guided surgery setting. Moreover, it demonstrated binding to tissue sections of human prostate, breast and gastro-intestinal stromal tumors. In summary, our findings demonstrate that the developed dual-modality probe has the potential to aid in the complete surgical removal of GRPR-positive tumors.
Keyphrases
- living cells
- fluorescence imaging
- quantum dots
- minimally invasive
- prostate cancer
- single cell
- fluorescent probe
- photodynamic therapy
- high resolution
- endothelial cells
- coronary artery bypass
- small molecule
- single molecule
- drug delivery
- cancer therapy
- skeletal muscle
- bone marrow
- magnetic resonance imaging
- induced apoptosis
- metabolic syndrome
- adipose tissue
- pet imaging
- type diabetes
- risk assessment
- deep learning
- binding protein
- machine learning
- patients undergoing
- percutaneous coronary intervention