Modelling stromal compartments to recapitulate the ameloblastoma tumour microenvironment

Bibliographic Details
Title: Modelling stromal compartments to recapitulate the ameloblastoma tumour microenvironment
Authors: Deniz Bakkalci, Amir Zaki Abdullah Zubir, Syed Ali Khurram, Judith Pape, Kristiina Heikinheimo, Stefano Fedele, Umber Cheema
Source: Matrix Biology Plus, Vol 16, Iss , Pp 100125- (2022)
Publisher Information: Elsevier, 2022.
Publication Year: 2022
Collection: LCC:Biology (General)
Subject Terms: Fibroblasts, 3D models, IHC, RANKL, Tumour microenvironment, Biology (General), QH301-705.5
More Details: Tumour development and progression is dependent upon tumour cell interaction with the tissue stroma. Bioengineering the tumour-stroma microenvironment (TME) into 3D biomimetic models is crucial to gain insight into tumour cell development and progression pathways and identify therapeutic targets. Ameloblastoma is a benign but locally aggressive epithelial odontogenic neoplasm that mainly occurs in the jawbone and can cause significant morbidity and sometimes death. The molecular mechanisms for ameloblastoma progression are poorly understood. A spatial model recapitulating the tumour and stroma was engineered to show that without a relevant stromal population, tumour invasion is quantitatively decreased. Where a relevant stroma was engineered in dense collagen populated by gingival fibroblasts, enhanced receptor activator of nuclear factor kappa-B ligand (RANKL) expression was observed and histopathological properties, including ameloblastoma tumour islands, developed and were quantified. Using human osteoblasts (bone stroma) further enhanced the biomimicry of ameloblastoma histopathological phenotypes. This work demonstrates the importance of the two key stromal populations, osteoblasts, and gingival fibroblasts, for accurate 3D biomimetic ameloblastoma modelling.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2590-0285
Relation: http://www.sciencedirect.com/science/article/pii/S2590028522000254; https://doaj.org/toc/2590-0285
DOI: 10.1016/j.mbplus.2022.100125
Access URL: https://doaj.org/article/98aed28f53ae416fb0594835c6925e2d
Accession Number: edsdoj.98aed28f53ae416fb0594835c6925e2d
Database: Directory of Open Access Journals
More Details
ISSN:25900285
DOI:10.1016/j.mbplus.2022.100125
Published in:Matrix Biology Plus
Language:English