Glioblastoma Microenvironment
Glioblastoma Microenvironment - Related Videos
05:45
Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections
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Cited by 10 •
2017
This protocol was developed to quantitatively identify tumor microenvironment components in glioblastoma patient resections using chromogenic immunohistochemistry and ImageJ.
09:23
Coculture Assays to Study Macrophage and Microglia Stimulation of Glioblastoma Invasion
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Cited by 19 •
2016
Understanding the malignant behavior of cancer requires creating accurate models of how tumor cells interact with components of the tumor microenvironment, such as macrophages. Here we describe two methods to study glioblastoma cell interaction with tumor associated macrophages and microglia where the effect on glioblastoma invasion is assessed.
02:36
Generating a Glioblastoma Rat Model
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2025
Source: Bolcaen, J., et. al., PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator. J. Vis. Exp. (2017)This video demonstrates the procedure for establishing a glioblastoma rat model by stereotactically injecting brain tumor-causing glioblastoma cells into the prefrontal cortex.
11:57
Fabrication and Use of MicroEnvironment microArrays (MEArrays)
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Cited by 25 •
2012
A combinatorial functional screening method for gaining insights into the impacts of the molecular composition of microenvironments on cellular functions is described. The method takes advantage of existing microarray-based technologies to generate arrays of defined combinatorial microenvironments that support cell adhesion and functional analysis.
04:13
Co-Culturing Glioblastoma Cells on Patterned Neurons: A Technique to Monitor the Migration of Glioblastoma Cells on Rat Hippocampal Neurons In Vitro
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2025
This video describes a co-culture assay of glioblastoma cells on micropatterned neurons, which mimic the myelinated neuronal tracts invasion by the glioblastoma stem-like cells as they migrate on neurons in the peritumoral spaces. This assay can help analyze the effects of pharmacological drugs that inhibit glioblastoma cells' migration on neurons in a glioma.
FAQs
Matrix remodeling changes the physical and biochemical surroundings that glioblastoma cells encounter. Through reciprocal signaling, tumor cells and neighboring tissue components influence one another, creating conditions that can support invasion and alter how cells respond to therapeutic stress. Studying these interactions helps researchers connect changes in the surrounding matrix with tumor progression and treatment resistance.
Blood vessels, immune cells, and glial cells are active participants rather than passive surroundings. Their interactions with tumor cells contribute to the signals and tissue conditions that shape growth, invasion, and treatment response. Bioengineering models can incorporate these components to examine how cellular interactions influence glioblastoma behavior under more physiologically relevant conditions.
Biochemical signals provide communication between glioblastoma cells and surrounding tissue components. This signaling can modify cell behavior, influence invasion, and help tumor cells withstand therapeutic stress. Because the signals operate within a changing cellular and matrix context, models that reproduce several interacting components may reveal treatment responses that are not apparent in systems focused only on isolated tumor cells.
The surrounding environment can protect glioblastoma cells from therapeutic stress through cellular interactions, biochemical signaling, and matrix-related effects. Surviving cells may therefore respond differently from tumor cells studied without their surrounding tissue context. Investigating these protective influences provides a basis for evaluating therapies in models designed to reflect the conditions associated with treatment response and recurrence.
Researchers recreate relevant interactions with three-dimensional cultures, organoids, biomaterial scaffolds, and microfluidic models. These platforms are designed to represent selected features of the tissue environment, such as interactions among tumor cells, matrix components, blood vessels, immune cells, or glial cells. The choice of platform depends on which biological interaction or therapeutic question the experiment is intended to examine.
These model types are useful when conventional systems do not adequately represent the surrounding tissue context. Organoids and three-dimensional cultures can support investigation of multicellular behavior, biomaterial scaffolds can provide a structured matrix setting, and microfluidic models can recreate controlled interactions within a designed platform. Together, they expand experimental options for studying tumor biology and treatment response.
Bioengineered models can be used to evaluate drug delivery and observe how tumor cells respond when relevant environmental interactions are present. Comparing responses across model conditions may help identify effects associated with matrix, vascular, immune, or glial components. These results can support the development of more physiologically relevant therapeutic strategies rather than relying only on simplified tumor-cell systems.