Ovarian Cancer Spheroids
Ovarian Cancer Spheroids - Related Videos
11:34
Modeling Ovarian Cancer Multicellular Spheroid Behavior in a Dynamic 3D Peritoneal Microdevice
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Cited by 29 •
2017
To study ovarian tumor progression in a physiologically relevant model, multicellular spheroids were cultured in a microdevice under simulated fluid flow. This dynamic 3D model emulates the intraperitoneal environment with the cellular and mechanical components where ovarian cancer metastasis occurs.
14:25
Assessment of Ovarian Cancer Spheroid Attachment and Invasion of Mesothelial Cells in Real Time
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Cited by 21 •
2014
Ovarian cancer cell invasion into the mesothelial lining of the peritoneum is a dynamic process over time. Utilizing a real time analyzer, the invasive capacity of ovarian cancer cells in a spheroid-mesothelial cell co-culture model can be quantified over prolonged time periods, providing insights into factors regulating the metastatic process.
04:34
Mesothelial Clearance Assay: An In Vitro Technique to Quantify the Invasion Ability of Ovarian Cancer Spheroids into Mesothelial Cell Monolayers
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2023
This video describes a technique to quantitatively measure the interaction of ovarian cancer spheroids with mesothelial cells, using fluorescently labeled cells and time-lapse video microscopy. This in vitro assay models the interaction between metastasizing ovarian cancer cell spheroids and mesothelial cells lining the peritoneal cavity in vivo.
10:35
An Orthotopic Model of Serous Ovarian Cancer in Immunocompetent Mice for in vivo Tumor Imaging and Monitoring of Tumor Immune Responses
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Cited by 18 •
2010
To study in vivo tumor growth and tumor microenvironment, we used a syngeneic and orthotopic mouse model of ovarian cancer in immunocompetent animals. We transduced a mouse tumor cell line (MOV1) with Katushka fluorescent protein (MOV1KAT) and here we show its orthotopic implantation in ovary and in vivo imaging.
10:58
Quantitation of Intra-peritoneal Ovarian Cancer Metastasis
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Cited by 15 •
2016
Ovarian cancer metastasis is characterized by numerous diffuse intra-peritoneal lesions, such that accurate visual quantitation of tumor burden is challenging. Herein we describe a method for in situ and ex vivo quantitation of metastatic tumor burden using red fluorescent protein (RFP)-labeled tumor cells and optical imaging.
FAQs
As cells pack together, oxygen and nutrients do not reach every region equally, while waste can accumulate toward the interior. These gradients create different local conditions within one structure and help researchers examine how tumor cells respond to tissue-like stress. The resulting variation can reveal behaviors that are less apparent in uniformly exposed two-dimensional cultures.
The inner and outer regions of a spheroid experience different surroundings, so they may represent distinct tumor-cell states within the same model. This organization allows investigators to study how location, cell-cell interactions, and limited access to oxygen or nutrients relate to tumor growth, stem-like properties, invasion, and treatment resistance.
Two-dimensional cultures grow cells on a flat surface, whereas spheroids organize cells into a three-dimensional structure with internal gradients and spatially distinct populations. This tissue-like organization can provide a more physiologically relevant setting for evaluating cancer behavior and treatment response, although it represents a model rather than the complete complexity of an ovarian tumor.
Formation begins by placing ovarian tumor cells under nonadherent or low-attachment conditions, which limit their ability to spread across a surface. Instead, the cells aggregate through cell-cell interactions and develop into compact three-dimensional structures. Researchers can then examine these structures for features such as growth patterns, regional organization, invasion, and responses to treatment.
These models support studies of several connected aspects of ovarian cancer biology, including tumor growth, invasion, metastasis, stem-like properties, and chemotherapy resistance. Because cells occupy different positions within the structure, investigators can relate observed behavior to tissue-like organization rather than examining isolated cells under uniform conditions.
Researchers can expose the three-dimensional models to anticancer drugs and assess treatment response in a structure that more closely reflects tissue-like conditions than many flat cultures. The approach may also support personalized treatment strategies by providing a platform for examining how tumor material responds to therapy within an organized, spatially varied model.