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Updated: Jan 12, 2026

Modeling Ovarian Cancer Multicellular Spheroid Behavior in a Dynamic 3D Peritoneal Microdevice
Published on: February 18, 2017
Dynamic 3D microfluidic platform for exploring combined targeted therapy, chemotherapy, and virotherapy delivery in
Lukasz Kuryk1,2, Sara Mathlouthi1, Lisa Casagrande1
1Department of Pharmaceutical and Pharmacological Sciences, University of Padua, Via F. Marzolo 5, 35131, Padua, Italy.
Abstract:
Ovarian cancer poses a persistent therapeutic challenge due to late-stage diagnosis, frequent relapse, and resistance to standard therapies. While oncolytic viruses (OVs) offer a promising immunotherapeutic approach, their clinical efficacy remains limited by an immunosuppressive tumor microenvironment (TME) and inefficient delivery. To address these barriers, we developed a dynamic microfluidic-based 3D ex vivo tumor model to evaluate a systemic, multimodal treatment strategy in ovarian cancer. The model incorporates perfusable tumor spheroids cocultured with peripheral blood mononuclear cells (PBMCs) and endothelial cells (HUVECs), enabling the simulation of vascularized tumor environments and systemic drug perfusion. All therapeutic agents-including the oncolytic adenovirus Ad5/3-D24-ICOSL-CD40L, cisplatin, paclitaxel, and nintedanib-were administered through flow-based circulation to more accurately replicate human pharmacokinetic conditions and tumor-drug interactions. Our results demonstrated that a priming regimen-where Ad5/3-D24-ICOSL-CD40L was administered 48 h before chemotherapy-significantly outperformed the co-administration strategy, reducing spheroid areas and mitigating tumor rebound. Enhanced therapeutic response was associated with increased viral replication, sustained immunogenic cell death, and improved immune cell infiltration, underscoring the importance of sequencing and microenvironment preconditioning. This tumor-on-a-chip platform provides a physiologically relevant tool for real-time monitoring of treatment response, immune activation, and drug delivery under continuous flow. By bridging the gap between traditional in vitro models and in vivo studies, it offers a powerful preclinical system for optimizing combination regimens and advancing personalized therapies in ovarian cancer.
Insights
A novel ovarian cancer treatment strategy using oncolytic viruses (OVs) and chemotherapy, sequenced for optimal effect, showed promising results in a 3D tumor model. This approach enhances immune response and reduces tumor regrowth, offering a new path for ovarian cancer therapy.
Area of Science:
- Oncology
- Immunotherapy
- Biotechnology
Background:
- Ovarian cancer presents significant treatment challenges due to late diagnosis, relapse, and therapy resistance.
- Oncolytic viruses (OVs) show promise but are limited by immunosuppressive tumor microenvironments (TME) and poor delivery.
- Existing models struggle to accurately replicate in vivo pharmacokinetics and tumor-drug interactions.
Purpose of the Study:
- To evaluate a systemic, multimodal treatment strategy for ovarian cancer using a dynamic microfluidic-based 3D ex vivo tumor model.
- To investigate the impact of therapeutic sequencing on treatment efficacy in a vascularized tumor microenvironment.
Main Methods:
- Development of a 3D ex vivo tumor model with perfusable spheroids, peripheral blood mononuclear cells (PBMCs), and endothelial cells (HUVECs).
- Systemic administration of oncolytic adenovirus (Ad5/3-D24-ICOSL-CD40L), cisplatin, paclitaxel, and nintedanib via flow-based circulation.
- Comparison of a priming regimen (OV 48h before chemotherapy) versus co-administration.
Main Results:
- The priming regimen significantly outperformed co-administration, reducing spheroid size and preventing tumor rebound.
- Enhanced therapeutic response correlated with increased viral replication, immunogenic cell death, and immune cell infiltration.
- The tumor-on-a-chip platform enabled real-time monitoring of treatment response and immune activation under continuous flow.
Conclusions:
- Sequencing of oncolytic viruses and chemotherapy is crucial for optimizing ovarian cancer treatment.
- Microenvironment preconditioning enhances the efficacy of multimodal cancer therapies.
- This 3D ex vivo model serves as a powerful preclinical tool for advancing personalized ovarian cancer therapies.
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