Multicellular tumor spheroid model to study the multifaceted role of tumor-associated macrophages in PDAC

Nadège Bidan1, Garett Dunsmore2, Martina Ugrinic1

  • 1Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 91400, Orsay, France.

Insights

A new 3D pancreatic cancer model using tumor cells, fibroblasts, and monocytes reveals how tumor-associated macrophages (TAMs) create an immunosuppressive environment. Lipid nanosystems were found to reduce TAM markers, offering potential for improved drug screening.

Area of Science:

  • Oncology
  • Cancer Biology
  • Immunology

Background:

  • Pancreatic cancer treatment progress is limited by a lack of predictive in vitro models.
  • Tumor heterogeneity and low immunogenicity hinder effective therapy development.
  • Tumor-associated macrophages (TAMs) play a critical role in the pancreatic tumor microenvironment.

Purpose of the Study:

  • To establish and characterize a novel 3D spheroid model of pancreatic cancer.
  • To investigate the role of TAMs in pancreatic cancer progression and drug sensitivity.
  • To evaluate the impact of lipid-based nanosystems on TAMs.

Main Methods:

  • Development of a triple co-culture 3D spheroid model with pancreatic tumor cells, cancer-associated fibroblasts, and monocytes.
  • Tracking monocyte differentiation into TAM-like populations within the spheroid.
  • Assessing the influence of TAMs on drug sensitivity and cell migration.
  • Treatment of the model with lipid-based nanosystems (sphingomyelin and vitamin E).

Main Results:

  • The 3D model successfully replicated the immunosuppressive microenvironment created by TAMs.
  • TAMs were shown to influence drug sensitivity and cancer cell migration.
  • Lipid-based nanosystems modulated macrophage phenotype, reducing key TAM markers.
  • The model demonstrated potential for studying TAM plasticity and drug screening.

Conclusions:

  • The developed 3D pancreatic cancer model is a valuable tool for understanding TAMs and their role in cancer.
  • This model can improve the predictability of preclinical studies and aid in identifying novel cancer treatments.
  • Targeting TAMs with agents like lipid nanosystems shows promise for pancreatic cancer therapy.

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