Human Tumor Matrix
Human Tumor Matrix - Related Videos
08:15
Fully Human Tumor-based Matrix in Three-dimensional Spheroid Invasion Assay
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Cited by 19 •
2019
Tumor microenvironment is an essential part of cancer growth and invasion. To mimic carcinoma progression, a biologically relevant human matrix is needed. This protocol introduces an improvement for the in vitro three-dimensional spheroid invasion assay by applying a human leiomyoma-based matrix. The protocol also introduces a computer-based cell invasion analysis.
03:23
Matrix-Based Tumor Invasion Model Using Microglia Glioblastoma Co-Culture
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2025
In this video, glioblastoma and microglia cells are mixed with a polymer matrix solution and transferred to a porous chamber insert where a gel forms, embedding the cells. Microglia stimulate the migration of glioblastoma cells through the porous insert, mimicking tumor cell invasion into surrounding tissue, Cells are then fixed and prepared for further analysis.
11:12
Tissue Engineering of a Human 3D in vitro Tumor Test System
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Cited by 34 •
2013
Methods to create human 3D tumor tissues as test systems are described. These technologies are based on a decellularized Biological Vascularized Scaffold (BioVaSc), primary human cells and a tumor cell line, which can be cultured under static as well as under dynamic conditions in a flow bioreactor.
11:11
Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology
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Cited by 20 •
2014
Particle-tracking microrheology can be used to non-destructively quantify and spatially map changes in extracellular matrix mechanical properties in 3D tumor models.
12:04
Human Neuroendocrine Tumor Cell Lines as a Three-Dimensional Model for the Study of Human Neuroendocrine Tumor Therapy
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Cited by 39 •
2012
We present a simple agarose overlay platform to grow 3D multicellular spheroids using neuroendocrine cancer cell lines. This method provides a very convenient way to examine the effect of therapeutic drugs on the neuroendocrine tumor cells. It could also help us establish human neuroendocrine tumor spheroids for cancer therapy.
FAQs
Matrix stiffness changes the physical cues received by cancer cells and can strengthen integrin-mediated signaling, which links cells to their surrounding scaffold. These signals may support cell survival, migration, and invasion, while also contributing to treatment resistance. Examining stiffness therefore helps researchers connect the physical properties of a tumor environment with aggressive cancer-cell behavior.
Cancer cells, fibroblasts, immune cells, and other stromal cells all contribute to matrix remodeling. They can deposit new components, cross-link existing proteins, or enzymatically alter the surrounding scaffold. The resulting changes affect both matrix composition and architecture, helping explain how interactions among malignant and stromal cells influence tumor progression.
Composition and architecture determine which biochemical and physical signals are available to cells within a tumor. Changes in these features can alter integrin-mediated communication and the local conditions that support survival, migration, invasion, or resistance to treatment. Measuring both properties provides a more complete view of how the tumor microenvironment influences disease behavior.
Biochemical signals arise from the matrix components present around and within a tumor, whereas physical signals reflect properties such as stiffness and organization. These influences are connected because cellular remodeling can change both composition and architecture. Considering the two together helps researchers interpret why malignant and stromal cells behave differently in distinct tumor environments.
Researchers can examine the matrix components present, their organization, and the physical properties created by remodeling and cross-linking. They can also consider how these features relate to cancer-cell behavior and interactions with fibroblasts, immune cells, and other stromal cells. This combined analysis supports interpretation of tumor progression and identification of potentially informative biomarkers.
Matrix composition and architecture can be incorporated into tumor models to better represent the environment surrounding malignant and stromal cells. Including these features provides a way to study how extracellular and mechanobiological signals influence tumor behavior under more patient-relevant conditions. Such models can support investigation of progression, cellular interactions, and treatment responses.
Matrix features may provide biomarkers because their composition and organization change as tumors develop and interact with surrounding stromal cells. The same information can guide therapies aimed at extracellular or mechanobiological signals. Linking matrix changes with tumor behavior may therefore help identify measurable disease indicators and potential treatment targets within the tumor microenvironment.