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Defining the ideal model for an in vitro study is essential, mainly if studying physiological processes such as differentiation of cells. In the tumor stroma, host fibroblasts are stimulated by cancer cells to differentiate. Thus, they acquire a phenotype that contributes to the tumor microenvironment and supports tumor progression. By using the spheroid model, we have set up such a 3D in vitro model system, in which we analyzed the role of laminin-332 and its receptor integrin α3β1 in this differentiation process. This spheroid model system not only reproduces the tumor microenvironment conditions in a more accurate way, but also is a very versatile model since it allows different downstream studies, such as immunofluorescent staining of both intra- and extracellular markers, as well as deposited extracellular matrix proteins. Moreover, transcriptional analyses by qPCR, flow cytometry and cellular invasion can be studied with this model. Here, we describe a protocol of a spheroid model to assess the role of CAFs' integrin α3β1 and its ectopically deposited ligand, laminin-332, in differentiation and in supporting the invasion of pancreatic cancer cells.
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http://dx.doi.org/10.3791/60122 | DOI Listing |
Biomater Sci
September 2025
Biotechnology Science and Engineering Program, University of Alabama in Huntsville, Huntsville, AL 35899, USA.
B cells are critical components of the adaptive immune system that proliferate and differentiate within the secondary lymphoid organs upon recognition of antigens and engagement of T cells. Traditional two-dimensional (2D) cell cultures fall short of replicating the intricate structures and dynamic evolution of three-dimensional (3D) environments found in lymphoid organs, prompting the development of more physiologically pertinent models. Our approach employs -hexanoyl glycol chitosan (HGC) coated ultra-low attachment (ULA) lattice plates to cultivate a 3D co-culture of CD40L-expressing MS5 stromal cells and naïve B cells derived from the peripheral blood mononuclear cells (PBMCs) of healthy human donors.
View Article and Find Full Text PDFJ Biophotonics
September 2025
Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, USA.
Ovarian cancer (OvCa) remains the leading cause of gynecological cancer mortality, with most patients developing chemoresistance. Drug repurposing offers promising alternatives, with mebendazole (MBZ) showing anticancer activity. This study evaluates MBZ efficacy using Spectral Domain Optical Coherence Tomography (SD-OCT).
View Article and Find Full Text PDFBiochem Biophys Rep
December 2025
Research Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Breast cancer is the most prevalent cancer among women, posing significant challenges due to its heterogeneity. Recent studies suggest that the ketogenic diet (KD) may enhance chemotherapy efficacy by modulating cancer cell metabolism, particularly through the elevation of ketone bodies like β-hydroxybutyrate (BHB). This study investigates the effects of BHB on breast cancer cells using both 2D and 3D culture models, focusing on its role in developing resistance to fluorouracil (5-FU).
View Article and Find Full Text PDFAn integrated approach is proposed to rapidly evaluate the effects of anticancer treatments in 3D models, combining a droplet-based microfluidic platform for spheroid formation and single-spheroid chemotherapy application, label-free morphological analysis, and machine learning to assess treatment response. Morphological features of spheroids, such as size and color intensity, are extracted and selected using the multivariate information-based inductive causation algorithm, and used to train a neural network for spheroid classification into viability classes, derived from metabolic assays performed within the same platform as a benchmark. The model is tested on Ewing sarcoma cell lines and patient-derived xenograft (PDX) cells, demonstrating robust performance across datasets.
View Article and Find Full Text PDFACS Biomater Sci Eng
September 2025
Chemical Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
Patient-derived tumor organoids (PDTOs) are promising 3D disease models for developing personalized treatment methods. However, conventional technologies for making PDTOs have limitations such as batch-to-batch variation and low throughput. Droplet microfluidics (DM), which utilizes uniform droplets generated in microchannels, has demonstrated potential for creating organoids due to its high-throughput and controllable parameters.
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