Toxicological Research

Korean Society of Toxicology & Korea Environmental Mutagen Society (한국독성학회)
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Quantification and visualization of metastatic lung tumors in mice

  • Lee, Ha Neul (Department of Biomedical Laboratory Science, Namseoul University) ;
  • Kim, Seyl (Ferramed Inc., National Nanofab Center, KAIST) ;
  • Park, Sooah (In Vivo Research Center, UNIST Central Research Facilities, Ulsan National Institute of Science and Technology) ;
  • Jung, Woonggyu (Department of Biomedical Engineering, Ulsan National Institute of Science and Technology) ;
  • Kang, Jin Seok (Department of Biomedical Laboratory Science, Namseoul University)
  • Received : 2022.02.15
  • Accepted : 2022.03.30
  • Published : 2022.10.15
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Abstract

Histopathological examination is important for the diagnosis of various diseases. Conventional histopathology provides a two-dimensional view of the tissues, and requires the tissue to be extracted, fixed, and processed using histotechnology techniques. However, there is an increasing need for three-dimensional (3D) images of structures in biomedical research. The objective of this study was to develop reliable, objective tools for visualizing and quantifying metastatic tumors in mouse lung using micro-computed tomography (micro-CT), optical coherence tomography (OCT), and field emission-scanning electron microscopy (FE-SEM). Melanoma cells were intravenously injected into the tail vein of 8-week-old C57BL/6 mice. The mice were euthanized at 2 or 4 weeks after injection. Lungs were fixed and examined by micro-CT, OCT, FE-SEM, and histopathological observation. Micro-CT clearly distinguished between tumor and normal cells in surface and deep lesions, thereby allowing 3D quantification of the tumor volume. OCT showed a clear difference between the tumor and surrounding normal tissues. FE-SEM clearly showed round tumor cells, mainly located in the alveolar wall and growing inside the alveoli. Therefore, whole-tumor 3D imaging successfully visualized the metastatic tumor and quantified its volume. This promising approach will allow for fast and label-free 3D phenotyping of diverse tissue structures.

Keywords

Acknowledgement

We would like to thank Ms. Se Ryeong Jeong, Hyun Ji Won, Nahyeon Gu, Kanghee Ryu for their technical assistance. This study was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2019R1F1A1058721).

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