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Related Experiment Video

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Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
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Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging.

Sophia Scheuermann1,2,3, Beate Kristmann1, Fabienne Engelmann1

  • 1Department of Haematology, Oncology, Gastroenterology, Nephrology, Rheumatology, University Children's Hospital Tuebingen, Tuebingen, Germany.

Frontiers in Immunology
|April 3, 2024
PubMed
Summary
This summary is machine-generated.

This study uses multiplexed imaging to map the tumor immune microenvironment (TIME) in solid tumors. It reveals immunosuppressive myeloid cells interacting with exhausted T cells in hepatocellular carcinoma, advancing cancer therapy research.

Keywords:
MACSima™multiplexed tissue imagingsingle-cell analysisspatial analysis workflowtumor immunophenotypingtumor microenvironment (TME)

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Area of Science:

  • Oncology
  • Immunology
  • Biotechnology

Background:

  • Understanding the tumor immune microenvironment (TIME) is crucial for developing effective cancer therapies.
  • Spatial interactions between immune cells and tumor cells dictate treatment response.
  • Multiplexed tissue imaging offers a holistic approach to dissecting complex tumor microenvironments.

Purpose of the Study:

  • To establish and validate a comprehensive immunophenotyping panel for multiplexed tissue imaging.
  • To characterize cellular heterogeneity and spatial interactions within the TIME of solid tumors.
  • To identify potential therapeutic targets and understand immune cell crosstalk in cancer.

Main Methods:

  • Development and cross-validation of a 121-marker immunophenotyping panel for MACSima™ imaging cyclic staining (MICS).
  • Application of an end-to-end analysis workflow to primary cancer tissues.
  • In-depth spatial profiling of cell types, states, and T cell subsets within the TIME.

Main Results:

  • Characterization of tumor heterogeneity and identification of potential therapeutic targets.
  • Detailed sub-phenotyping of T cells and scrutiny of their cellular neighborhoods.
  • Discovery of immunosuppressive myeloid cell interactions with exhausted, PD1high T cells in hepatocellular carcinoma (HCC).

Conclusions:

  • Spatial profiling provides critical insights into tumor-immune cell interactions.
  • Multiplexed imaging and ultra-deep phenotyping are powerful tools for unraveling TIME complexity.
  • This framework facilitates the exploration of solid tumor TIMEs for advancing cancer therapies.