Illuminating and Radiosensitizing Tumors with 2DG-Bound Gold-Based Nanomedicine for Targeted CT Imaging and Therapy.
Maharajan SivasubramanianChia-Hui ChuYu HsiaNai-Tzu ChenMeng-Ting CaiLih Shin TewYao-Chen ChuangChin-Tu ChenBulent AydoganLun-De LiaoLeu-Wei LoPublished in: Nanomaterials (Basel, Switzerland) (2023)
Although radiotherapy is one of the most important curative treatments for cancer, its clinical application is associated with undesired therapeutic effects on normal or healthy tissues. The use of targeted agents that can simultaneously achieve therapeutic and imaging functions could constitute a potential solution. Herein, we developed 2-deoxy-d-glucose (2DG)-labeled poly(ethylene glycol) (PEG) gold nanodots (2DG-PEG-AuD) as a tumor-targeted computed tomography (CT) contrast agent and radiosensitizer. The key advantages of the design are its biocompatibility and targeted AuD with excellent sensitivity in tumor detection via avid glucose metabolism. As a consequence, CT imaging with enhanced sensitivity and remarkable radiotherapeutic efficacy could be attained. Our synthesized AuD displayed linear enhancement of CT contrast as a function of its concentration. In addition, 2DG-PEG-AuD successfully demonstrated significant augmentation of CT contrast in both in vitro cell studies and in vivo tumor-bearing mouse models. In tumor-bearing mice, 2DG-PEG-AuD showed excellent radiosensitizing functions after intravenous injection. Results from this work indicate that 2DG-PEG-AuD could greatly potentiate theranostic capabilities by providing high-resolution anatomical and functional images in a single CT scan and therapeutic capability.
Keyphrases
- computed tomography
- contrast enhanced
- dual energy
- image quality
- high resolution
- positron emission tomography
- drug delivery
- cancer therapy
- magnetic resonance imaging
- alcohol use disorder
- magnetic resonance
- early stage
- blood pressure
- stem cells
- mouse model
- gene expression
- fluorescence imaging
- skeletal muscle
- low dose
- squamous cell carcinoma
- lymph node metastasis
- high dose
- mesenchymal stem cells
- risk assessment
- deep learning
- convolutional neural network
- human health
- blood glucose
- quantum dots