3D spheroid culture to examine adaptive therapy response in invading tumor cells

Felix Weiss1, Nader Atlasy2, Vince van Reijmersdal1

  • 1Department of Cell Biology, Radboud University Medical Centre, P.O. Box 9101, 6525 GA Nijmegen, The Netherlands.

In Vitro Models
|April 25, 2023
PubMed

Insights

A new 3D cancer model reveals that invading cancer cells survive radiation therapy better than core cells. This discovery aids in understanding invasion-associated therapy resistance and drug discovery.

Area of Science:

  • Oncology
  • Biotechnology
  • Cell Biology

Background:

  • 3D in vitro cancer models using extracellular matrix (ECM) are crucial for studying drug resistance and invasion.
  • Existing models often fail to analyze shared pathways linking cancer cell invasion and therapy resistance simultaneously.

Purpose of the Study:

  • To develop and utilize a novel 3D invasion culture model for evaluating therapy response in relation to cancer cell invasion.
  • To investigate the mechanisms underlying differential therapy response between spheroid core and invasive cancer cells.

Main Methods:

  • Established a 3D invasion culture model using tumor spheroids in 3D fibrillar collagen.
  • Applied Ethanol-Ethyl cinnamate (EtOH-ECi) based optical clearing for subcellular-resolved 3D microscopy.
  • Physically separated spheroid core and invasion zones for gene expression analysis.

Main Results:

  • Observed significant cell survival in the invasion zone after a single dose of 4 Gy irradiation.
  • Identified differentially regulated genes in invading cells, particularly those involved in cell division, repair, and survival.
  • Demonstrated the utility of the 3D model in analyzing complex therapy response patterns.

Conclusions:

  • The developed 3D invasion culture model effectively visualizes and analyzes therapy response in both spheroid cores and invasive zones.
  • Invading cancer cells exhibit enhanced survival mechanisms, contributing to invasion-associated therapy resistance.
  • This model holds potential for advancing drug discovery and understanding resistance mechanisms in cancer research.

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