Cancer Cell Interaction
Cancer Cell Interaction - Related Videos
05:48
3D Co-culture with Direct Interaction: Co-culturing Cancer Cells with Monocytes to Study Their Interaction
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2023
This video describes the 3D co-culture of breast cancer cells with monocytes to study their interaction in an extracellular matrix extract (ECME) based environment. This method helps in studying specific features such as collagen degradation, immune cell recruitment, and cell invasion.
10:13
Micropatterned Surfaces to Study Hyaluronic Acid Interactions with Cancer Cells
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Cited by 11 •
2010
A novel approach that allows the high-resolution analysis of cancer cell interactions with exogenous hyaluronic acid (HA) is described. Patterned surfaces are fabricated by combining carbodiimide chemistry and microcontact printing.
03:15
Fluorescence Microscopy of Neutrophil Extracellular Traps or NETs: A Technique to Observe Adhesive Interaction Between Cancer Cells and NETs
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2023
This video demonstrates the fluorescent staining of neutrophil extracellular traps (NETs), the extracellular DNA components expelled by neutrophils. This technique enables the visualization of adhesive interaction between cancer cells and NETs.
07:16
Isolation of Cancer Stem Cells From Human Prostate Cancer Samples
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Cited by 6 •
2014
The isolation of cancer stem cells (CSCs) directly from human tissues is requisite for their biological characterization. This manuscript describes a methodology for the isolation of prostate CSCs from human tissues, while also providing tips on troubleshooting difficult steps.
09:30
Mesenchymal Stem Cell Isolation from Pulp Tissue and Co-Culture with Cancer Cells to Study Their Interactions
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Cited by 10 •
2019
We provide protocols for evaluation of mesenchymal stem cells isolated from dental pulp and prostate cancer cell interactions based on direct and indirect co-culture methods. Condition medium and trans-well membranes are suitable to analyze indirect paracrine activity. Seeding differentially stained cells together is an appropriate model for direct cell-cell interaction.
FAQs
Direct contact allows malignant cells to receive signals from neighboring cells through adhesion molecules and cell surface interactions. These contacts can modify intracellular signaling pathways that regulate proliferation, survival, and movement. Their effects depend on the surrounding tissue relationships, making cell adhesion important for understanding how tumor cells remain connected, detach, or interact with nearby nonmalignant cells during progression.
Soluble factors released by cancer cells or surrounding cells can influence distant cells within the local tissue environment. These signals alter pathways controlling cell survival, proliferation, migration, and immune responses. Examining which cells produce or respond to these factors helps researchers connect communication within the tumor microenvironment to changes that support tumor development and persistence.
Changes to the extracellular matrix can modify the physical and signaling environment around malignant cells. Matrix remodeling may influence how cells adhere, move, and interact with neighboring tissue. Because migration and tissue invasion depend on these relationships, examining matrix changes helps explain how local interactions contribute to tumor progression and the spread of cancer cells.
Interactions with neighboring cells and the surrounding tissue can alter immune responses and cancer-cell survival. Signals exchanged within the tumor microenvironment may help malignant cells avoid immune activity or persist under therapeutic pressure. Studying these interactions therefore connects local cellular communication with clinically important outcomes, including immune evasion, resistance to therapy, and continued tumor growth.
A biological analysis can focus on direct cell-cell contact, adhesion molecules, secreted factors, extracellular matrix changes, and the signaling pathways affected by them. Researchers then relate those features to outcomes such as proliferation, survival, migration, and immune responses. This approach organizes the tumor microenvironment as a network of cellular and tissue relationships rather than as isolated cancer cells.
Studying communication among malignant cells, neighboring cells, and the extracellular matrix helps researchers explain how tumors change within tissues. Observations of altered signaling, matrix remodeling, migration, and immune responses can be incorporated into models of progression. These models provide a framework for relating local biological interactions to invasion, metastasis, therapy resistance, and immune evasion.
The analysis can reveal cellular signals and tissue relationships associated with tumor behavior. Such findings may identify features that serve as biomarkers, which are measurable indicators linked to a biological state, or suggest therapeutic targets involved in tumor-supporting communication. The value of the approach comes from connecting specific interactions with measurable outcomes such as migration, survival, or immune response.