3D Tumor Model Development

A 3D model of ovarian cancer is a 3D structure created using real ovarian cancer cells, designed to accurately mimic the tumor microenvironment. At Alfa Cytology, we have extensive experience in developing 3D models of ovarian cancer.

Introduction to 3D Tumor Model of Ovarian cancer

3D tumor analysis in ovarian cancer uses techniques like organoids, 3D cell culture, and bioprinting to replicate the tumor's natural environment. These models, mimicking the tumor's spatial structure and microenvironment, allow researchers to extract cells from patient tissues or use 3D-printed scaffolds. This facilitates detailed observation of tumor growth, migration, invasion, and drug responses. Such analysis enhances tumor understanding, aids in discovering therapeutic targets, and promotes personalized treatments, improving efficacy and reducing side effects.

Fig.1 3D model of ovarian cancer. (WATTERS K M, et al., 2018)

Cultivation of 3D Tumor Models

Suspension Culture: Cells are suspended in the medium without attaching to any surface.
Matrix Gel Culture: Cells are embedded in a gel-like matrix (e.g., Matrigel) that provides support and growth factors.
Scaffolding: Cell growth is supported using a three-dimensional scaffold (e.g., biomaterials or synthetic polymers).
Microfluidics: Utilizing microfluidic chips to precisely control the cell growth environment.
Sphere Culture: Cells naturally aggregate to form spheres in a petri dish.

Our Services

Alfa Cytology is leveraging 3D tumor analysis to uncover cellular behavior and drug response mechanisms in ovarian cancer. By employing advanced 3D models, our research team can more precisely replicate the tumor microenvironment. This enhanced simulation facilitates the development of more effective therapeutic strategies.

3D Cell Culture

Our research team utilize three-dimensional scaffolds and gel cultures to more closely mimic the tumor microenvironment in vivo.

Tumor Spheroid Culture
Scaffold-Based Culture
Co-Culture Models

3D Bioprinting

We use bioprinting technology to accurately deposit cells and biomaterials layer by layer, constructing spatial tissue models that closely resemble actual tumors.

Cell-Matrix Printing Model
Multicellular Tumor Models
Biocompatible Scaffolds

3D Tumor Models of Ovarian Cancer

Hydrogel-Based 3D Model: We provide ovarian cancer cell cultures using hydrogels (e.g., matrigel) to study cell-substrate interactions.
Microfluidic Chip Model: Microfluidics is used to create complex 3D ovarian cancer models that replicate tumor blood flow and nutrient delivery.
Co-Culture Model: Our research team co-culture ovarian cancer cells with stromal or immune cells to create a more complex and representative tumor microenvironment.

Assays for Ovarian Cancer 3D Model

By replicating the complex tumor microenvironment using a 3D model, a realistic 3D space has been created for studying ovarian cancer signaling pathways. This approach allows for precise observation and analysis of the interactions between cancer cells and surrounding tissues.

Cell-Based Assays for Ovarian Cancer

Signaling Pathway Analysis for Ovarian Cancer

Ovarian Cancer Pathogenesis Analysis

Omics Services for Ovarian Cancer

Tumor Microenvironment Analysis

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Case Study

Evaluation of Therapeutic Efficacy in Ovarian Cancer Tumor Spheroids

In accordance with project specifications, we evaluated the inhibitory effects of 10 candidate compounds on the growth kinetics of 3D ovarian cancer tumor spheroids.

Model Construction

Tumor-associated macrophages were isolated from ovarian cancer donor mice and co-cultured with the ID8 cell line. This cell suspension was seeded into 96-well plates pre-coated with Matrigel to facilitate a basement membrane-like environment. Longitudinal microscopic observation confirmed that within 3–5 days, the cells self-assembled into compact, morphologically uniform multicellular tumor spheroids.

Fig. 2 Morphological characterization and growth kinetics of ovarian cancer tumor spheroids.

Pharmacological Efficacy Evaluation

Utilizing this 3D spheroid model, we assessed the antiproliferative activity of candidate drugs 1–10. By Day 6, distinct inhibitory profiles were observed across the treatment cohorts (Fig. 3). Furthermore, we conducted a dose-response analysis for candidate drug 8. The results demonstrated that drug 8 exerted significant growth inhibition even at the minimum concentration of 0.08 μM (Fig. 4).

Fig. 3 Growth inhibitory profiles of candidate compounds 1–10 in ovarian cancer spheroids.

Fig. 4 Dose-dependent inhibition of ovarian cancer spheroid growth by candidate compound 8.

Alfa Cytology is pioneering innovation in 3D tumor modeling for ovarian cancer, revolutionizing cancer research and treatment development with cutting-edge technology. Our state-of-the-art facilities and multidisciplinary teams are committed to advancing scientific discoveries and translating these findings into clinical solutions. Contact us to learn how our 3D tumor model development services for ovarian cancer can enhance your research efforts.

Reference

WATTERS K M, BAJWA P, KENNY H A. Organotypic 3D Models of the Ovarian Cancer Tumor Microenvironment [J]. Cancers (Basel), 2018, 10(8).

For research use only.