Probing the glioma micro-environment: analysis using biopsy in combination with ultra-fast cyclic immunolabeling

Thomas S van Solinge1,2, Juhyun Oh3,4, Erik Abels1,3

  • 1Departments of Neurology and Radiology, Massachusetts General Hospital, and Program in Neuroscience, Harvard Medical School, Boston, Massachusetts, USA.

Insights

Researchers developed a novel repeat-biopsy model in mice to track changes in the brain tumor microenvironment. This method allows for safe, serial sampling of glioma cells, aiding the development of new immunotherapies.

Area of Science:

  • Neuro-oncology
  • Immunology
  • Cancer Research

Background:

  • Glioma-immune system interactions are poorly understood, impeding effective immunotherapies.
  • Tumor-immune responses vary significantly during glioma development and are influenced by treatments.
  • Assessing these local immune changes is challenging due to tumor inaccessibility and invasive sampling.

Purpose of the Study:

  • To establish a reliable mouse model for repeat-biopsy of intracranial tumors.
  • To investigate dynamic changes in the glioma immune microenvironment over time.
  • To enable longitudinal studies of immune responses within the same animal.

Main Methods:

  • Development of a fine needle biopsy technique for safe, repeated intracranial tumor sampling in mice.
  • Application of ultra-fast cycling technology (FAST) for multi-cycle immunofluorescence on retrieved cells.
  • Longitudinal analysis of cellular changes within the tumor microenvironment.

Main Results:

  • Demonstrated the feasibility of safe and repeated fine needle biopsies from murine intracranial gliomas.
  • Utilized FAST immunofluorescence to reveal dynamic shifts in the immune cell landscape over time.
  • Provided insights into the evolving immune response within the tumor microenvironment.

Conclusions:

  • The developed repeat-biopsy model combined with FAST immunofluorescence offers a powerful tool for studying glioma immunology.
  • This approach facilitates longitudinal monitoring of immune responses in vivo, crucial for advancing glioma immunotherapies.
  • The methodology is adaptable for investigating intracranial diseases and treatment effects in real-time.

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