ENA21 Poster 158

Phenotypic Analysis of Myeloid Cells in a 3D Image-Based Repolarization Assay With Tumor Spheroids

Gera Goverse, Nataliia Beztsinna, Benjamin Visser, Tomas Veenendaal, Marjan van de Merbel, Emma Spanjaard, Ashgard Weterings, Kuan Yan, Leo Price, Lidia Daszkiewicz
Crown Bioscience Netherlands, Leiden, The Netherlands

Myeloid cells play an important role in anti-tumor immune responses, having both cancer-promoting and cancer-restraining actions. Unleashing the full potential of cancer immunotherapies requires an understanding of the cellular mechanisms that govern these opposite actions. Therefore, to further increase the biological relevance of our assay, we incorporated the myeloid cell compartment into the co-cultures of tumor cells and T cells to measure the effects of immune-modulators.

This poster details our in-house developed image analysis software and machine learning, a set of morphological features was identified that reproducibly allowed discrimination between undifferentiated monocytes, M1 and M2 macrophages and dendritic cells. In addition, these phenotypic profiles of the myeloid cells could be analyzed in the presence of the tumor supernatants or in co-cultures with tumor cells. This assay thereby allows a better understanding of the suppressive tumor microenvironment including multiple cell types and is well suited to test different cancer immunotherapies.

Download this Poster to Discover:

• How image-based phenotypic analysis in 3D enables visualization and quantification of the effects of immunotherapies on myeloid cells
  
  
• How this system provides means to elucidate the bidirectional interplay between tumor and immune cells
  
  
• How the advanced platform combines the complexity of the TME with the robustness of a high-throughput screening platform

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