Phenotypic Characterization by Mass Cytometry of the Microenvironment in Ovarian Cancer and Impact of Tumor

Shamundeeswari Anandan1,2, Liv Cecilie V Thomsen1,2, Stein-Erik Gullaksen1

  • 1Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway.

Cancers
|March 6, 2021
PubMed

Insights

A new antibody panel aids in dissecting the tumor microenvironment (TME) of high-grade serous ovarian cancer (HGSOC). This tool helps identify patient-specific differences, but tissue dissociation methods can impact results.

Area of Science:

  • Immunology
  • Oncology
  • Biotechnology

Background:

  • High-grade serous ovarian cancer (HGSOC) has high mortality, necessitating improved molecular dissection of the tumor microenvironment (TME).
  • Reliable biomarkers for HGSOC are scarce, and single-cell mapping of the TME may reveal prognostic differences.
  • Tissue dissociation methods can introduce technical variations affecting single-cell analysis.

Purpose of the Study:

  • To develop a novel Cytometry by Time-of-Flight (CTOF) antibody panel for single-cell suspensions.
  • To identify individual TME profiles in HGSOC patients.
  • To evaluate the impact of different tissue dissociation methods on TME profiling.

Main Methods:

  • Developed a CTOF antibody panel using cell lines, healthy donor blood, and stem cells.
  • Applied the panel to HGSOC tissues dissociated by six distinct methods.
  • Analyzed data using Cytobank and X-shift, visualized with t-SNE plots, heatmaps, and bar plots.

Main Results:

  • The CTOF panel successfully distinguished major cellular subsets and subpopulations within the HGSOC TME.
  • Dissociation methods influenced specific immune, stromal, and tumor cell subsets.
  • Functional marker expression remained largely comparable across dissociation methods.

Conclusions:

  • The developed CTOF panel is a promising tool for in-depth profiling of the HGSOC TME.
  • The panel enables characterization of individual patient TME profiles.
  • Consideration of tissue handling and dissociation methods is crucial for accurate HGSOC TME profiling.

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