The role of three-dimensional in vitro models in modelling the inflammatory microenvironment associated with obesity in breast cancer

Breast Cancer Research

Review

Stephen A. Beers¹  Rhianna Rachael Romany Blyth¹  Charles N. Birts² 

[1] Antibody and Vaccine Group, Centre for Cancer Immunology, School of Cancer Sciences, Faculty of Medicine, University of Southampton, SO16 6YD, Southampton, UK;Antibody and Vaccine Group, Centre for Cancer Immunology, School of Cancer Sciences, Faculty of Medicine, University of Southampton, SO16 6YD, Southampton, UK;School of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, SO17 1BJ, Southampton, UK;Institute for Life Sciences, University of Southampton, SO17 1BJ, Southampton, UK;

关键词: Three-dimensional (3D) models;    Breast cancer;    Obesity;    Adipose;    Tumour microenvironment;   

DOI  :  10.1186/s13058-023-01700-w

 received in 2023-07-04, accepted in 2023-08-16,  发布年份 2023

来源: Springer

【 摘 要 】

Obesity is an established risk factor for breast cancer in postmenopausal women. However, the underlying biological mechanisms of how obesity contributes to breast cancer remains unclear. The inflammatory adipose microenvironment is central to breast cancer progression and has been shown to favour breast cancer cell growth and to reduce efficacy of anti-cancer treatments. Thus, it is imperative to further our understanding of the inflammatory microenvironment seen in breast cancer patients with obesity. Three-dimensional (3D) in vitro models offer a key tool in increasing our understanding of such complex interactions within the adipose microenvironment. This review discusses some of the approaches utilised to recapitulate the breast tumour microenvironment, including various co-culture and 3D in vitro models. We consider how these model systems contribute to the understanding of breast cancer research, with particular focus on the inflammatory tumour microenvironment. This review aims to provide insight and prospective future directions on the utility of such model systems for breast cancer research.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

【 图 表 】

Fig. 1

Fig. 3