A Human Ovarian Tumor & Liver Organ-on-Chip for Simultaneous and More Predictive Toxo-Efficacy Assays

In oncology, the poor success rate of clinical trials is becoming increasingly evident due to the weak predictability of preclinical assays, which either do not recapitulate the complexity of human tissues (i.e., in vitro tests) or reveal species-specific outcomes (i.e., animal testing). Therefore,...

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Main Authors: Arianna Fedi, Chiara Vitale, Marco Fato, Silvia Scaglione
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Bioengineering
Subjects:
Online Access:https://www.mdpi.com/2306-5354/10/2/270
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author Arianna Fedi
Chiara Vitale
Marco Fato
Silvia Scaglione
author_facet Arianna Fedi
Chiara Vitale
Marco Fato
Silvia Scaglione
author_sort Arianna Fedi
collection DOAJ
description In oncology, the poor success rate of clinical trials is becoming increasingly evident due to the weak predictability of preclinical assays, which either do not recapitulate the complexity of human tissues (i.e., in vitro tests) or reveal species-specific outcomes (i.e., animal testing). Therefore, the development of novel approaches is fundamental for better evaluating novel anti-cancer treatments. Here, a multicompartmental organ-on-chip (OOC) platform was adopted to fluidically connect 3D ovarian cancer tissues to hepatic cellular models and resemble the systemic cisplatin administration for contemporarily investigating drug efficacy and hepatotoxic effects in a physiological context. Computational fluid dynamics was performed to impose capillary-like blood flows and predict cisplatin diffusion. After a cisplatin concentration screening using 2D/3D tissue models, cytotoxicity assays were conducted in the multicompartmental OOC and compared with static co-cultures and dynamic single-organ models. A linear decay of SKOV-3 ovarian cancer and HepG2 liver cell viability was observed with increasing cisplatin concentration. Furthermore, 3D ovarian cancer models showed higher drug resistance than the 2D model in static conditions. Most importantly, when compared to clinical therapy, the experimental approach combining 3D culture, fluid-dynamic conditions, and multi-organ connection displayed the most predictive toxicity and efficacy results, demonstrating that OOC-based approaches are reliable 3Rs alternatives in preclinic.
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spelling doaj.art-01034a6870f44ec288854cae28cfb7c32023-11-16T19:12:04ZengMDPI AGBioengineering2306-53542023-02-0110227010.3390/bioengineering10020270A Human Ovarian Tumor & Liver Organ-on-Chip for Simultaneous and More Predictive Toxo-Efficacy AssaysArianna Fedi0Chiara Vitale1Marco Fato2Silvia Scaglione3Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, 16126 Genoa, ItalyNational Research Council of Italy, Institute of Electronic, Computer and Telecommunications (IEIIT), 16149 Genoa, ItalyDepartment of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, 16126 Genoa, ItalyNational Research Council of Italy, Institute of Electronic, Computer and Telecommunications (IEIIT), 16149 Genoa, ItalyIn oncology, the poor success rate of clinical trials is becoming increasingly evident due to the weak predictability of preclinical assays, which either do not recapitulate the complexity of human tissues (i.e., in vitro tests) or reveal species-specific outcomes (i.e., animal testing). Therefore, the development of novel approaches is fundamental for better evaluating novel anti-cancer treatments. Here, a multicompartmental organ-on-chip (OOC) platform was adopted to fluidically connect 3D ovarian cancer tissues to hepatic cellular models and resemble the systemic cisplatin administration for contemporarily investigating drug efficacy and hepatotoxic effects in a physiological context. Computational fluid dynamics was performed to impose capillary-like blood flows and predict cisplatin diffusion. After a cisplatin concentration screening using 2D/3D tissue models, cytotoxicity assays were conducted in the multicompartmental OOC and compared with static co-cultures and dynamic single-organ models. A linear decay of SKOV-3 ovarian cancer and HepG2 liver cell viability was observed with increasing cisplatin concentration. Furthermore, 3D ovarian cancer models showed higher drug resistance than the 2D model in static conditions. Most importantly, when compared to clinical therapy, the experimental approach combining 3D culture, fluid-dynamic conditions, and multi-organ connection displayed the most predictive toxicity and efficacy results, demonstrating that OOC-based approaches are reliable 3Rs alternatives in preclinic.https://www.mdpi.com/2306-5354/10/2/2703D in vitro modelsmulti-organdrug efficacyfluid-dynamicsorgan-on-chipovarian cancer
spellingShingle Arianna Fedi
Chiara Vitale
Marco Fato
Silvia Scaglione
A Human Ovarian Tumor & Liver Organ-on-Chip for Simultaneous and More Predictive Toxo-Efficacy Assays
Bioengineering
3D in vitro models
multi-organ
drug efficacy
fluid-dynamics
organ-on-chip
ovarian cancer
title A Human Ovarian Tumor & Liver Organ-on-Chip for Simultaneous and More Predictive Toxo-Efficacy Assays
title_full A Human Ovarian Tumor & Liver Organ-on-Chip for Simultaneous and More Predictive Toxo-Efficacy Assays
title_fullStr A Human Ovarian Tumor & Liver Organ-on-Chip for Simultaneous and More Predictive Toxo-Efficacy Assays
title_full_unstemmed A Human Ovarian Tumor & Liver Organ-on-Chip for Simultaneous and More Predictive Toxo-Efficacy Assays
title_short A Human Ovarian Tumor & Liver Organ-on-Chip for Simultaneous and More Predictive Toxo-Efficacy Assays
title_sort human ovarian tumor liver organ on chip for simultaneous and more predictive toxo efficacy assays
topic 3D in vitro models
multi-organ
drug efficacy
fluid-dynamics
organ-on-chip
ovarian cancer
url https://www.mdpi.com/2306-5354/10/2/270
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