X-Ray Activatable Au/Ag Nanorods for Tumor Radioimmunotherapy Sensitization and Monitoring of the Therapeutic Response Using NIR-II Photoacoustic Imaging.
Si ZhengDuyang GaoYayun WuDehong HuZiyue LiYuenan WangHairong ZhengYingjia LiZonghai ShengPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2023)
Radioimmunotherapy (RIT) is an advanced physical therapy used to kill primary cancer cells and inhibit the growth of distant metastatic cancer cells. However, challenges remain because RIT generally has low efficacy and serious side effects, and its effects are difficult to monitor in vivo. This work reports that Au/Ag nanorods (NRs) enhance the effectiveness of RIT against cancer while allowing the therapeutic response to be monitored using activatable photoacoustic (PA) imaging in the second near-infrared region (NIR-II, 1000-1700 nm). The Au/Ag NRs can be etched using high-energy X-ray to release silver ions (Ag + ), which promotes dendritic cell (DC) maturation, enhances T-cell activation and infiltration, and effectively inhibits primary and distant metastatic tumor growth. The survival time of metastatic tumor-bearing mice treated with Au/Ag NR-enhanced RIT is 39 days compared with 23 days in the PBS control group. Furthermore, the surface plasmon absorption intensity at 1040 nm increases fourfold after Ag + are released from the Au/Ag NRs, allowing X-ray activatable NIR-II PA imaging to monitor the RIT response with a high signal-to-background ratio of 24.4. Au/Ag NR-based RIT has minimal side effects and shows great promise for precise cancer RIT.
Keyphrases
- quantum dots
- visible light
- sensitive detection
- fluorescence imaging
- high resolution
- reduced graphene oxide
- photodynamic therapy
- highly efficient
- dendritic cells
- squamous cell carcinoma
- fluorescent probe
- small cell lung cancer
- gold nanoparticles
- randomized controlled trial
- metabolic syndrome
- high intensity
- drug delivery
- mass spectrometry
- drug release
- dual energy
- immune response
- regulatory t cells
- energy transfer
- emergency department
- newly diagnosed
- machine learning
- silver nanoparticles
- deep learning
- electron microscopy