Cargando…

Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems

Epithelial ovarian cancer (EOC) research has become more complex as researchers try to fully understand the metastatic process. Especially as we delve into the concept of tumour dormancy, where cells transition between proliferative and dormant states to survive during disease progression. Thus, the...

Descripción completa

Detalles Bibliográficos
Autores principales: Tomas, Emily, Shepherd, Trevor G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088149/
https://www.ncbi.nlm.nih.gov/pubmed/37038202
http://dx.doi.org/10.1186/s13048-023-01145-x
_version_ 1785022508515196928
author Tomas, Emily
Shepherd, Trevor G.
author_facet Tomas, Emily
Shepherd, Trevor G.
author_sort Tomas, Emily
collection PubMed
description Epithelial ovarian cancer (EOC) research has become more complex as researchers try to fully understand the metastatic process. Especially as we delve into the concept of tumour dormancy, where cells transition between proliferative and dormant states to survive during disease progression. Thus, the in vitro models used to conduct this research need to reflect this vast biological complexity. The innovation behind the many three-dimensional (3D) spheroid models has been refined to easily generate reproducible spheroids so that we may understand the various molecular signaling changes of cells during metastasis and determine therapeutic efficacy of treatments. This ingenuity was then used to develop the 3D ex vivo patient-derived organoid model, as well as multiple co-culture model systems for EOC research. Although, researchers need to continue to push the boundaries of these current models for in vitro and even in vivo work in the future. In this review, we describe the 3D models already in use, where these models can be developed further and how we can use these models to gain the most knowledge on EOC pathogenesis and discover new targeted therapies.
format Online
Article
Text
id pubmed-10088149
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-100881492023-04-12 Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems Tomas, Emily Shepherd, Trevor G. J Ovarian Res Review Epithelial ovarian cancer (EOC) research has become more complex as researchers try to fully understand the metastatic process. Especially as we delve into the concept of tumour dormancy, where cells transition between proliferative and dormant states to survive during disease progression. Thus, the in vitro models used to conduct this research need to reflect this vast biological complexity. The innovation behind the many three-dimensional (3D) spheroid models has been refined to easily generate reproducible spheroids so that we may understand the various molecular signaling changes of cells during metastasis and determine therapeutic efficacy of treatments. This ingenuity was then used to develop the 3D ex vivo patient-derived organoid model, as well as multiple co-culture model systems for EOC research. Although, researchers need to continue to push the boundaries of these current models for in vitro and even in vivo work in the future. In this review, we describe the 3D models already in use, where these models can be developed further and how we can use these models to gain the most knowledge on EOC pathogenesis and discover new targeted therapies. BioMed Central 2023-04-11 /pmc/articles/PMC10088149/ /pubmed/37038202 http://dx.doi.org/10.1186/s13048-023-01145-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Tomas, Emily
Shepherd, Trevor G.
Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems
title Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems
title_full Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems
title_fullStr Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems
title_full_unstemmed Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems
title_short Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems
title_sort insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088149/
https://www.ncbi.nlm.nih.gov/pubmed/37038202
http://dx.doi.org/10.1186/s13048-023-01145-x
work_keys_str_mv AT tomasemily insightsintohighgradeserouscarcinomapathobiologyusingthreedimensionalculturemodelsystems
AT shepherdtrevorg insightsintohighgradeserouscarcinomapathobiologyusingthreedimensionalculturemodelsystems