Three-dimensional culture model of urothelial carcinoma cell lines: current advances, challenges and future perspective

Mansor, Siti Farizan and Tengku Zakaria, Tengku Muhamad Faris Syafiq and Yahaya, Badrul Hisham (2024) Three-dimensional culture model of urothelial carcinoma cell lines: current advances, challenges and future perspective. Biomedical Research and Therapy, 11 (10). pp. 6801-6812.

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Abstract

Despite the high number of cases reported, studies describing the pathogenesis of urothelial carcinoma (UC) remain limited. This is due to insufficient in vivo models that can accurately recapitulate the pathogenesis of UC recurrence and elucidate the involvement of the tumour microenvironment (TME) during carcinogenesis. Models of cancer pathomechanism in monolayer culture provide inaccurate resemblance due to biophysical and chemical changes. In simplified 2D culture conditions, factors such as tissue architecture, cell-to-cell and cell-to-matrix interaction, and mechanical and biochemical networks, all of which are involved in drug response, are lost. Three-dimensional (3D) culture of clinical biopsy is considered an ideal model to understand UC pathogenesis, the role of the microenvironment, and mechanical adaptations due to improved translational capacity. However, limited biopsies and challenges in primary cell culturing have shifted researchers towards developing cell line-based 3D culture in the pursuit of pathomechanism exploration. A comprehensive literature evaluation was carried out by searching the PubMed, Scopus, and Web of Science databases from January 2000 to May 2022. The initial search yielded 525 articles, and 195 studies were selected based on the inclusion and exclusion criteria. This review highlights recent challenges, future strategies, and the clinical implications of developing high-throughput, cell line-based 3D models for personalized UC treatment, a critical gap in the current literature.

Item Type:	Article (Review)
Uncontrolled Keywords:	3D culture; urothelial carcinoma; cell line; tumour microenvironment; model; development; microfluidic chip; machine learning;
Subjects:	R Medicine > R Medicine (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Nursing > Department of Basic Medical Sciences for Nursing
Depositing User:	Asst Prof Tengku Faris
Date Deposited:	11 Nov 2024 11:22
Last Modified:	11 Nov 2024 11:22
URI:	http://irep.iium.edu.my/id/eprint/115733

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