Tumor Model Generation
Tumor Model Generation - Related Videos
03:18
Generation of a Three-Dimensional Spheroid Model of Tumor Cell Invasion
0 Views •
2025
Source: Guyon, J., et al. A 3D Spheroid Model for Glioblastoma. J. Vis. Exp. (2020)The video demonstrates the generation of a three-dimensional spheroid model of tumor cell invasion. Spheroids are formed from human brain tumor cells and embedded in a collagen matrix. The tumor cells at the spheroid periphery adopt an invasive phenotype, secreting proteases to degrade the collagen and advancing to invade the surrounding matrix.
03:56
Tumor Enzymatic Digestion: A Procedure to Generate Tumor Cell Suspension from Patient-derived Xenograft Cancer Mouse Models
0 Views •
2023
This video describes the procedure to obtain tumor cell suspension from patient-derived xenograft or PDX cancer mouse models. Small animal models provide an expeditious, reproducible, and adaptable platform to study tumor progression and different metastatic...
03:59
Orthotopic Homograft Tumor Transplantation: A Technique to Generate Pancreatic Tumor Mouse Models
0 Views •
2023
The video explains a stepwise surgical method for orthotopic implantation of a tumor fragment from a cancerous donor to the pancreas of a non-cancerous recipient mice for development of pancreatic cancer. Orthotopically implanted PDAC could recapture the tissue microenvironment of human pancreatic cancers than conventional subcutaneous (SC) models more accurately.
08:03
Generation of Prostate Cancer Patient Derived Xenograft Models from Circulating Tumor Cells
0 Views •
Cited by 59 •
2015
This manuscript details a method used to generate prostate cancer patient derived xenografts (PDXs) from circulating tumor cells (CTCs). The generation of PDX models from CTCs provides an alternative experimental model to study prostate cancer; the most commonly diagnosed tumor and a frequent cause of death from cancer in men.
04:21
Generating Anti-Angiogenic Tumor-Associated Neutrophils
0 Views •
2025
This video demonstrates an assay to generate anti-angiogenic tumor-associated neutrophils (TANs). Upon taking a murine melanoma tumor containing pro-angiogenic TANs, the single cells are isolated using fluorescence-activated cell sorting (FACS) and treated with an inhibitor of nicotinamide phosphoribosyl transferase (NAMPT) to reduce the capacity to stimulate angiogenesis.
FAQs
Model choice determines which part of cancer biology can be observed. Cell culture provides a controlled setting for examining cancer-cell behavior, whereas organoids add three-dimensional organization. Living models extend the analysis to interactions with surrounding tissues, blood vessels, and immune cells. This layered strategy helps investigators match experimental complexity to questions about tumor growth, invasion, or treatment response.
Three-dimensional organoids add spatial organization that is not present when cancer cells are studied only in culture. This structure allows researchers to examine tumor-related features in a more organized laboratory system while retaining experimental control. Organoids therefore complement simpler cell-based models and provide a distinct context for investigating cancer biology before studies move to living organisms.
Adding cancer-associated genetic changes can model how altered molecular states contribute to tumor initiation and later disease behavior. Introducing those changes, or tumor cells themselves, into living organisms makes it possible to examine outcomes in the context of surrounding tissues, blood vessels, and immune cells. This connects molecular events with observable progression such as growth, invasion, or metastasis.
An experimental workflow can begin with cancer cells grown in culture, proceed to organization into three-dimensional organoids, or use introduction of tumor cells or cancer-associated genetic changes into a living organism. The selected route depends on the biological question and desired level of environmental interaction. These systems can then be examined for initiation, growth, invasion, metastasis, or treatment response.
Tumor models support therapeutic evaluation by exposing differences in treatment response under controlled experimental conditions before clinical testing. Researchers can compare how tumors behave after intervention and relate those outcomes to the model's level of biological context. Living systems are especially relevant when surrounding tissues, blood vessels, and immune cells may influence the observed response to a strategy.
In cancer research, these models help bridge molecular mechanisms and disease behavior. A model may reveal how cancer-associated changes relate to tumor initiation, while more complex systems support study of growth, invasion, metastasis, or treatment response. The resulting observations provide an experimental basis for connecting biological mechanisms with disease progression and potential therapeutic strategies.