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Related Experiment Video

Updated: May 16, 2025

Monitoring Cancer Cell Invasion and T-Cell Cytotoxicity in 3D Culture
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3D Tumor Model to Study Immune Cell Infiltration.

Jakob Dittmer1, Catarina Pinto1, Claudia Reichel-Voda1

  • 1Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.

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|March 31, 2025
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Summary

Developing advanced 3D co-culture models improves preclinical cancer drug testing. This study uses live imaging to track immune cell infiltration in response to SMAC mimetic treatments within these models.

Keywords:
3D tumor modelsCollagen IHuman co-culture assayImmune cell infiltrationMatrigel®SMAC mimetic

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Area of Science:

  • Oncology
  • Immunology
  • Biotechnology

Background:

  • High attrition rates in oncology drug discovery due to lack of efficacy or toxicity necessitate improved preclinical models.
  • Immuno-oncology requires models that accurately reflect the complex tumor-immune cell interactions within the human body.
  • Recent advancements in 3D in vitro and organoid techniques offer more realistic tumor microenvironment simulations compared to traditional 2D cultures.

Purpose of the Study:

  • To describe a human 3D co-culture infiltration assay for evaluating drug responses in cancer research.
  • To assess the efficacy of SMAC (second mitochondrial-derived activator of caspases) mimetics using a novel 3D model.
  • To quantify immune cell infiltration in a 3D tumor microenvironment using live cell imaging.

Main Methods:

  • Development of a human 3D co-culture model with tumor cells in hydrogel and immune cells on top.
  • Utilizing live cell imaging and fluorescence microscopy as the primary readout method.
  • Monitoring cellular drug responses and immune cell infiltration over a one-week period.

Main Results:

  • The described 3D co-culture model remained stable for over a week, providing sustained observation of cellular dynamics.
  • Live cell imaging successfully quantified immune cell infiltration in response to SMAC mimetic treatment within the 3D model.
  • The model demonstrated its utility in studying the effects of anticancer drugs on various cell populations in the tumor microenvironment.

Conclusions:

  • 3D co-culture models offer a physiologically relevant platform for preclinical evaluation of immuno-oncology drugs.
  • This assay provides valuable insights into cellular drug responses and immune cell infiltration dynamics.
  • The developed model and imaging approach can enhance the predictive power of preclinical cancer drug discovery.