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Modeling Ovarian Cancer Multicellular Spheroid Behavior in a Dynamic 3D Peritoneal Microdevice
Published on: February 18, 2017
Injectable three-dimensional tumor microenvironments to study mechanobiology in ovarian cancer
Eric N Horst1, Caymen M Novak2, Kathleen Burkhard1
1Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States.
Abstract:
Epithelial ovarian cancers are among the most aggressive forms of gynecological malignancies. Despite the advent of poly adenosine diphosphate-ribose polymerase (PARP) and checkpoint inhibitors, improvement to patient survival has been modest. Limited in part by clinical translation, beneficial therapeutic strategies remain elusive in ovarian cancers. Although elevated levels of extracellular proteins, including collagens, proteoglycans, and glycoproteins, have been linked to chemoresistance, they are often missing from the processes of drug- development and screening. Biophysical and biochemical signaling from the extracellular matrix (ECM) determine cellular phenotype and affect both tumor progression and therapeutic response. However, many state-of-the-art tumor models fail to mimic the complexities of the tumor microenvironment (TME) and omit key signaling components. In this article, two interpenetrating network (IPN) hydrogel scaffold platforms, comprising of alginate-collagen or agarose-collagen, have been characterized for use as 3D in vitro models of epithelial ovarian cancer ECM. These highly tunable, injection mold compatible, and inexpensive IPNs replicate the critical governing physical and chemical signaling present within the ovarian TME. Additionally, an effective and cell-friendly live-cell retrieval method has been established to recover cells post-encapsulation. Lastly, functional mechanotransduction in ovarian cancers was demonstrated by increasing scaffold stiffness within the 3D in vitro ECM models. With these features, the agarose-collagen and alginate-collagen hydrogels provide a robust TME for the study of mechanobiology in epithelial cancers. STATEMENT OF SIGNIFICANCE: Ovarian cancer is the most lethal gynecologic cancer afflicting women today. Here we present the development, characterization, and validation of 3D interpenetrating platforms to shift the paradigm in standard in vitro modeling. These models help elucidate the roles of biophysical and biochemical cues in ovarian cancer progression. The agarose-collagen and alginate-collagen interpenetrating network (IPN) hydrogels are simple to fabricate, inexpensive, and can be modified to create custom mechanical stiffnesses and concentrations of bio-adhesive motifs. Given that investigations into the roles of biophysical characteristics in ovarian cancers have provided incongruent results, we believe that the IPN platforms will be critically important to uncovering molecular drivers. We also expect these platforms to be broadly applicable to studies involving mechanobiology in solid tumors.
Insights
New 3D hydrogel scaffolds mimic the ovarian tumor microenvironment, aiding research into epithelial ovarian cancer progression and treatment resistance. These models explore biophysical cues for better therapeutic strategies.
Area of Science:
- Biomaterials Science
- Cancer Biology
- Biophysics
Background:
- Epithelial ovarian cancer (EOC) is a lethal gynecologic malignancy with modest survival improvements despite advanced therapies.
- Current in vitro models often fail to replicate the complex tumor microenvironment (TME), limiting drug development and understanding of chemoresistance.
- Extracellular matrix (ECM) biophysical and biochemical cues significantly influence tumor progression and therapeutic response in EOC.
Purpose of the Study:
- To develop and characterize tunable 3D interpenetrating network (IPN) hydrogel scaffolds as advanced in vitro models of the EOC ECM.
- To investigate the role of biophysical and biochemical signaling within the TME on EOC progression and mechanotransduction.
- To establish a reliable method for live-cell retrieval from 3D hydrogel models for downstream analysis.
Main Methods:
- Fabrication and characterization of alginate-collagen and agarose-collagen IPN hydrogel scaffolds.
- Evaluation of hydrogel properties to mimic the physical and chemical signaling of the ovarian TME.
- Demonstration of functional mechanotransduction by modulating scaffold stiffness in 3D EOC models.
Main Results:
- The developed IPN hydrogels effectively replicate key physical and chemical signaling cues of the ovarian TME.
- A cell-friendly method for live-cell retrieval from the 3D hydrogel constructs was successfully established.
- Modulating scaffold stiffness demonstrated functional mechanotransduction in EOC cells within the 3D models.
Conclusions:
- Alginate-collagen and agarose-collagen IPN hydrogels provide a robust and tunable 3D in vitro platform for studying EOC mechanobiology.
- These novel TME models facilitate the elucidation of biophysical and biochemical cues in EOC progression and may uncover new therapeutic targets.
- The IPN platforms offer broad applicability for mechanobiology research in various solid tumors.
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