3D tumor angiogenesis models: recent advances and challenges

被引:0
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作者
Sharath M. Bhat
Vaishnavi A. Badiger
Sampara Vasishta
Juhi Chakraborty
Seetharam Prasad
Sourabh Ghosh
Manjunath B. Joshi
机构
[1] Manipal Academy of Higher Education,Department of Ageing Research, Manipal School of Life Sciences
[2] Indian Institute of Technology,Regenerative Engineering Laboratory, Department of Textile and Fibre Engineering
[3] Manipal Academy of Higher Education,Department of Surgery, Kasturba Medical College
关键词
3D model systems; Organoid models; Organ on chip; Tumor angiogenesis;
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学科分类号
摘要
The development of blood vessels, referred to as angiogenesis, is an intricate process regulated spatially and temporally through a delicate balance between the qualitative and quantitative expression of pro and anti-angiogenic molecules. As angiogenesis is a prerequisite for solid tumors to grow and metastasize, a variety of tumor angiogenesis models have been formulated to better understand the underlying mechanisms and associated clinical applications. Studies have demonstrated independent mechanisms inducing angiogenesis in tumors such as (a) HIF-1/VEGF mediated paracrine interactions between a cancer cell and endothelial cells, (b) recruitment of progenitor endothelial cells, and (c) vasculogenic mimicry. Moreover, single-cell sequencing technologies have indicated endothelial cell heterogeneity among organ systems including tumor tissues. However, existing angiogenesis models often rely upon normal endothelial cells which significantly differ from tumor endothelial cells exhibiting distinct (epi)genetic and metabolic signatures. Besides, the existence of intra-individual variations necessitates the development of improved tumor vascular model systems for personalized medicine. In the present review, we summarize recent advancements of 3D tumor vascular model systems which include (a) tissue engineering-based tumor models; (b) vascular organoid models, and (c) organ-on-chips and their importance in replicating the tumor angiogenesis along with the associated challenges to design improved models.
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页码:3477 / 3494
页数:17
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