ACS Nano: Imaging of liver cancer cells with nanoparticles

Release date: 2016-05-20

In the treatment of most malignant liver tumors, surgical resection is the first line of treatment. In liver tumor resection, if the edge of the tumor and normal tissue can be distinguished more finely, and the area where microscopic damage can be observed, it is very important for successful tumor resection. A team led by Dr. Moritz F. Kircher of the Memorial Sloan-Kettering Cancer Center in New York, USA, synthesized a silicon-coated, surface-enhanced Raman-scattered nanoparticle (NPs) that can be used for liver tumor imaging.

In clinical treatment, the most effective method for malignant liver tumors is surgical resection, but surgical resection often fails to remove all malignant tissue. It is very difficult to distinguish between normal tissue and malignant tumor tissue, and the remains of small tumor tissue can seriously affect postoperative recovery. As laparoscopic techniques and robotic arm procedures become more prevalent, the significance of marginal differentiation between normal tissue and tumor tissue is even more important. Although there are many tools for liver imaging, such as magnetic resonance imaging, computed tomography, positron emission tomography, and ultrasound imaging, there are some shortcomings of this or that.

American scientists have synthesized a new type of silicon-coated, surface-enhanced Raman-scattered nanoparticles (NPs). The nanoparticle has a three-layer structure, the core of which is the core of gold, and the outer layer is a Raman reporter, and then the outermost layer is a layer of silicon atoms. Although these nanoparticles are not uniform in size and surface chemistry, they behave quite similarly in living mice and are well inhaled into liver tissue and adsorbed on normal cell surfaces. By intravenously injecting such nanoparticles, the particles are able to adsorb on the surface of normal liver tissue cells without being present on the surface of cancer cells. In experiments in a mouse model of hepatocellular carcinoma and histiocytic sarcoma, it was found that after intravenous injection, liver tumors of mice can be identified by Raman imaging. Raman imaging also reveals microscopic lesions in the liver and spleen. Compared with indocyanine green fluorescence imaging, this nanoparticle is better able to visualize the liver tumor area and has fewer false positive areas.

Therefore, the authors believe that the nanometer can display tumor tissue more efficiently and accurately than other imaging methods. The continued maturity of this method may help to locate malignant liver tissue more accurately in clinical operations, resulting in higher success rates and better postoperative recovery.

Source: Bio Valley

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