Modelling stromal compartments to recapitulate the ameloblastoma tumour microenvironment

dc.contributor.authorBakkalci Deniz
dc.contributor.authorZubir Amir Zaki Abdullah
dc.contributor.authorKhurram Syed Ali
dc.contributor.authorPape Judith
dc.contributor.authorHeikinheimo Kristiina
dc.contributor.authorFedele Stefano
dc.contributor.authorCheema Umber
dc.contributor.organizationfi=hammaslääketieteen laitos|en=Institute of Dentistry|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.64787032594
dc.converis.publication-id177775892
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/177775892
dc.date.accessioned2023-01-13T03:32:24Z
dc.date.available2023-01-13T03:32:24Z
dc.description.abstractTumour 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.
dc.identifier.eissn2590-0285
dc.identifier.jour-issn2590-0285
dc.identifier.olddbid191046
dc.identifier.oldhandle10024/174136
dc.identifier.urihttps://www.utupub.fi/handle/11111/33852
dc.identifier.urlhttps://doi.org/10.1016/j.mbplus.2022.100125
dc.identifier.urnURN:NBN:fi-fe202301132731
dc.language.isoen
dc.okm.affiliatedauthorHeikinheimo, Kristiina
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline313 Dentistryen_GB
dc.okm.discipline313 Hammaslääketieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherElsevier
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.articlenumber100125
dc.relation.doi10.1016/j.mbplus.2022.100125
dc.relation.ispartofjournalMatrix biology plus
dc.relation.volume16
dc.source.identifierhttps://www.utupub.fi/handle/10024/174136
dc.titleModelling stromal compartments to recapitulate the ameloblastoma tumour microenvironment
dc.year.issued2022

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