Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology

Among gynecologic malignancies, ovarian cancer (OC) has the poorest survival rate, and its clinical management remains challenging due to the high rate of recurrence and chemoresistance. Improving survival for these patients is critical, although this requires the ability to translate preclinical st...

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Autores principales:	Alba Martinez, Molly S Buckley, Carly B Scalise, Dezhi Wang, Ashwini A Katre, Michael J Birrer, Joel L Berry, Rebecca C Arend
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Biochemistry QD415-436
Acceso en línea:	https://doaj.org/article/2e1e086fd223474ca73103d1aaf6b6bf
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spelling	oai:doaj.org-article:2e1e086fd223474ca73103d1aaf6b6bf2021-11-17T23:03:27ZUtilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology2041-731410.1177/20417314211055015https://doaj.org/article/2e1e086fd223474ca73103d1aaf6b6bf2021-11-01T00:00:00Zhttps://doi.org/10.1177/20417314211055015https://doaj.org/toc/2041-7314Among gynecologic malignancies, ovarian cancer (OC) has the poorest survival rate, and its clinical management remains challenging due to the high rate of recurrence and chemoresistance. Improving survival for these patients is critical, although this requires the ability to translate preclinical studies to actual patient care: bench to bedside and back. Our objective was to develop a preclinical model that accurately represents tumor biology and its microenvironment. We utilized SKOV-3, OVCAR-8, and CS-99 cell lines to show that this model was suitable for in vitro assessment of cell proliferation. We tested OC cells independently and in co-culture with cancer associated fibroblasts (CAFs) or immune cells. Additionally, we used patient-derived ovarian carcinoma and carcinosarcoma samples to show that the system maintains the histologic morphology of the primary tissue after 7 days. Moreover, we tested the response to chemotherapy using both cell lines and patient-derived tumor specimens and confirmed that cell death was significantly higher in the treated group compared to the vehicle group. Finally, we immune profiled the 3-D model containing patient tissue after several days in the bioreactor system and revealed that the immune populations are still present. Our data suggest that this model is a suitable preclinical model to aid in research that will ultimately impact the treatment of patients with gynecologic cancer.Alba MartinezMolly S BuckleyCarly B ScaliseDezhi WangAshwini A KatreMichael J BirrerJoel L BerryRebecca C ArendSAGE PublishingarticleBiochemistryQD415-436ENJournal of Tissue Engineering, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biochemistry QD415-436
spellingShingle	Biochemistry QD415-436 Alba Martinez Molly S Buckley Carly B Scalise Dezhi Wang Ashwini A Katre Michael J Birrer Joel L Berry Rebecca C Arend Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology
description	Among gynecologic malignancies, ovarian cancer (OC) has the poorest survival rate, and its clinical management remains challenging due to the high rate of recurrence and chemoresistance. Improving survival for these patients is critical, although this requires the ability to translate preclinical studies to actual patient care: bench to bedside and back. Our objective was to develop a preclinical model that accurately represents tumor biology and its microenvironment. We utilized SKOV-3, OVCAR-8, and CS-99 cell lines to show that this model was suitable for in vitro assessment of cell proliferation. We tested OC cells independently and in co-culture with cancer associated fibroblasts (CAFs) or immune cells. Additionally, we used patient-derived ovarian carcinoma and carcinosarcoma samples to show that the system maintains the histologic morphology of the primary tissue after 7 days. Moreover, we tested the response to chemotherapy using both cell lines and patient-derived tumor specimens and confirmed that cell death was significantly higher in the treated group compared to the vehicle group. Finally, we immune profiled the 3-D model containing patient tissue after several days in the bioreactor system and revealed that the immune populations are still present. Our data suggest that this model is a suitable preclinical model to aid in research that will ultimately impact the treatment of patients with gynecologic cancer.
format	article
author	Alba Martinez Molly S Buckley Carly B Scalise Dezhi Wang Ashwini A Katre Michael J Birrer Joel L Berry Rebecca C Arend
author_facet	Alba Martinez Molly S Buckley Carly B Scalise Dezhi Wang Ashwini A Katre Michael J Birrer Joel L Berry Rebecca C Arend
author_sort	Alba Martinez
title	Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology
title_short	Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology
title_full	Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology
title_fullStr	Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology
title_full_unstemmed	Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology
title_sort	utilization of a 3-d tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/2e1e086fd223474ca73103d1aaf6b6bf
work_keys_str_mv	AT albamartinez utilizationofa3dtissueengineeredmodeltoinvestigatetheeffectsofperfusionongynecologiccancerbiology AT mollysbuckley utilizationofa3dtissueengineeredmodeltoinvestigatetheeffectsofperfusionongynecologiccancerbiology AT carlybscalise utilizationofa3dtissueengineeredmodeltoinvestigatetheeffectsofperfusionongynecologiccancerbiology AT dezhiwang utilizationofa3dtissueengineeredmodeltoinvestigatetheeffectsofperfusionongynecologiccancerbiology AT ashwiniakatre utilizationofa3dtissueengineeredmodeltoinvestigatetheeffectsofperfusionongynecologiccancerbiology AT michaeljbirrer utilizationofa3dtissueengineeredmodeltoinvestigatetheeffectsofperfusionongynecologiccancerbiology AT joellberry utilizationofa3dtissueengineeredmodeltoinvestigatetheeffectsofperfusionongynecologiccancerbiology AT rebeccacarend utilizationofa3dtissueengineeredmodeltoinvestigatetheeffectsofperfusionongynecologiccancerbiology
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Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology

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