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The development of three-dimensional platform for patient-derived ovarian cancer tissue models. A systematic literature review

Sevinyan, Lusine; Gupta, Priyanka; Velliou, Eirini; Madhuri, Thumuluru Kavitha; (2022) The development of three-dimensional platform for patient-derived ovarian cancer tissue models. A systematic literature review. Cancers , 14 (22) , Article 5628. 10.3390/cancers14225628. Green open access

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Abstract

There is an unmet biomedical need for ex vivo tumour models that would predict drug responses and in turn help determine treatment regimens and potentially predict resistance before clinical studies. Research has shown that three dimensional models of ovarian cancer (OvCa) are more realistic than two dimensional in vitro systems as they are able to capture patient in vivo conditions in more accurate manner. The vast majority of studies aiming to recapitulate the ovarian tumour morphology, behaviors, and study chemotherapy responses have been using ovarian cancer cell lines. However, despite the advantages of utilising cancer cell lines to set up a platform, they are not as informative as systems applying patient derived cells, as cell lines are not able to recapitulate differences between each individual patient characteristics. In this review we discussed the most recent advances in the creation of 3D ovarian cancer models that have used patient derived material, the challenges to overcome and future applications.

Type: Article
Title: The development of three-dimensional platform for patient-derived ovarian cancer tissue models. A systematic literature review
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/cancers14225628
Publisher version: https://doi.org/10.3390/cancers14225628
Language: English
Additional information: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: Scaffolds; 3D; three-dimensional; model; ovarian; cancer; patient-derived; personalised
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Targeted Intervention
URI: https://discovery.ucl.ac.uk/id/eprint/10158796
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