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Article Dans Une Revue Scientific Reports Année : 2023

A novel 3D culture model for human primary mammary adipocytes to study their metabolic crosstalk with breast cancer in lean and obese conditions

Marie Rebeaud
  • Fonction : Auteur
Caroline Bouche
  • Fonction : Auteur
Carlo Arellano
  • Fonction : Auteur
Charlotte Vaysse
  • Fonction : Auteur
Frédérique Fallone
  • Fonction : Auteur
Catherine Muller
  • Fonction : Auteur

Résumé

Abstract Obesity is a negative prognosis factor for breast cancer. Yet, the biological mechanisms underlying this effect are still largely unknown. An emerging hypothesis is that the transfer of free fatty acids (FFA) between adipocytes and tumor cells might be altered under obese conditions, contributing to tumor progression. Currently there is a paucity of models to study human mammary adipocytes (M-Ads)-cancer crosstalk. As for other types of isolated white adipocytes, herein, we showed that human M-Ads die within 2–3 days by necrosis when grown in 2D. As an alternative, M-Ads were grown in a fibrin matrix, a 3D model that preserve their distribution, integrity and metabolic function for up to 5 days at physiological glucose concentrations (5 mM). Higher glucose concentrations frequently used in in vitro models promote lipogenesis during M-Ads culture, impairing their lipolytic function. Using transwell inserts, the matrix embedded adipocytes were cocultured with breast cancer cells. FFA transfer between M-Ads and cancer cells was observed, and this event was amplified by obesity. Together these data show that our 3D model is a new tool for studying the effect of M-Ads on tumor cells and beyond with all the components of the tumor microenvironment including the immune cells.
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Dates et versions

hal-04160616 , version 1 (08-11-2023)

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Marie Rebeaud, Caroline Bouche, Stéphanie Dauvillier, Camille Attané, Carlo Arellano, et al.. A novel 3D culture model for human primary mammary adipocytes to study their metabolic crosstalk with breast cancer in lean and obese conditions. Scientific Reports, 2023, 13 (1), pp.4707. ⟨10.1038/s41598-023-31673-x⟩. ⟨hal-04160616⟩
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