Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials

Ovarian cancer (OvCa) is one of the leading causes of gynecologic malignancies. Despite treatment with surgery and chemotherapy, OvCa disseminates and recurs frequently, reducing the survival rate for patients. There is an urgent need to develop more effective treatment options for women diagnosed w...

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Autores principales:	Ana Karen Mendoza-Martinez, Daniela Loessner, Alvaro Mata, Helena S. Azevedo
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	ovarian cancer tumor microenvironment peptides biomaterial self-assembly mechanical properties Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/2614ad22aea54008b3b9649fa505cb15
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spelling	oai:doaj.org-article:2614ad22aea54008b3b9649fa505cb152021-11-25T17:03:30ZModeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials10.3390/cancers132257452072-6694https://doaj.org/article/2614ad22aea54008b3b9649fa505cb152021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5745https://doaj.org/toc/2072-6694Ovarian cancer (OvCa) is one of the leading causes of gynecologic malignancies. Despite treatment with surgery and chemotherapy, OvCa disseminates and recurs frequently, reducing the survival rate for patients. There is an urgent need to develop more effective treatment options for women diagnosed with OvCa. The tumor microenvironment (TME) is a key driver of disease progression, metastasis and resistance to treatment. For this reason, 3D models have been designed to represent this specific niche and allow more realistic cell behaviors compared to conventional 2D approaches. In particular, self-assembling peptides represent a promising biomaterial platform to study tumor biology. They form nanofiber networks that resemble the architecture of the extracellular matrix and can be designed to display mechanical properties and biochemical motifs representative of the TME. In this review, we highlight the properties and benefits of emerging 3D platforms used to model the ovarian TME. We also outline the challenges associated with using these 3D systems and provide suggestions for future studies and developments. We conclude that our understanding of OvCa and advances in materials science will progress the engineering of novel 3D approaches, which will enable the development of more effective therapies.Ana Karen Mendoza-MartinezDaniela LoessnerAlvaro MataHelena S. AzevedoMDPI AGarticleovarian cancertumor microenvironmentpeptidesbiomaterialself-assemblymechanical propertiesNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5745, p 5745 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ovarian cancer tumor microenvironment peptides biomaterial self-assembly mechanical properties Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	ovarian cancer tumor microenvironment peptides biomaterial self-assembly mechanical properties Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Ana Karen Mendoza-Martinez Daniela Loessner Alvaro Mata Helena S. Azevedo Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials
description	Ovarian cancer (OvCa) is one of the leading causes of gynecologic malignancies. Despite treatment with surgery and chemotherapy, OvCa disseminates and recurs frequently, reducing the survival rate for patients. There is an urgent need to develop more effective treatment options for women diagnosed with OvCa. The tumor microenvironment (TME) is a key driver of disease progression, metastasis and resistance to treatment. For this reason, 3D models have been designed to represent this specific niche and allow more realistic cell behaviors compared to conventional 2D approaches. In particular, self-assembling peptides represent a promising biomaterial platform to study tumor biology. They form nanofiber networks that resemble the architecture of the extracellular matrix and can be designed to display mechanical properties and biochemical motifs representative of the TME. In this review, we highlight the properties and benefits of emerging 3D platforms used to model the ovarian TME. We also outline the challenges associated with using these 3D systems and provide suggestions for future studies and developments. We conclude that our understanding of OvCa and advances in materials science will progress the engineering of novel 3D approaches, which will enable the development of more effective therapies.
format	article
author	Ana Karen Mendoza-Martinez Daniela Loessner Alvaro Mata Helena S. Azevedo
author_facet	Ana Karen Mendoza-Martinez Daniela Loessner Alvaro Mata Helena S. Azevedo
author_sort	Ana Karen Mendoza-Martinez
title	Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials
title_short	Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials
title_full	Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials
title_fullStr	Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials
title_full_unstemmed	Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials
title_sort	modeling the tumor microenvironment of ovarian cancer: the application of self-assembling biomaterials
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2614ad22aea54008b3b9649fa505cb15
work_keys_str_mv	AT anakarenmendozamartinez modelingthetumormicroenvironmentofovariancancertheapplicationofselfassemblingbiomaterials AT danielaloessner modelingthetumormicroenvironmentofovariancancertheapplicationofselfassemblingbiomaterials AT alvaromata modelingthetumormicroenvironmentofovariancancertheapplicationofselfassemblingbiomaterials AT helenasazevedo modelingthetumormicroenvironmentofovariancancertheapplicationofselfassemblingbiomaterials
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Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials

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