In Vitro Cancer Model
In Vitro Cancer Model - Related Videos
08:23
In Vitro Modeling of Cancerous Neural Invasion: The Dorsal Root Ganglion Model
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Cited by 10 •
2016
This video article shows the use of the dorsal root ganglia (DRG)/cancer cell model in pancreatic ductal adenocarcinoma.
03:10
Modeling Cancerous Neural Invasion In Vitro: A Method to Co-culture Dorsal Root Ganglia and Cancer Cells
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2023
In this video, we demonstrate an in vitro method for co-culturing DRG and cancer cells to study neurotropism and neural invasion.
12:42
Heterotypic Three-dimensional In Vitro Modeling of Stromal-Epithelial Interactions During Ovarian Cancer Initiation and Progression
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Cited by 20 •
2012
We describe methodologies for establishing in vitro heterotypic three-dimensional models comprising ovarian fibroblasts and normal ovarian surface or ovarian cancer epithelial cells. We discuss the use of these models to study stromal-epithelial interactions that occur during ovarian cancer development.
04:55
Establishing a Three-dimensional Co-culture Model of Murine Dorsal Root Ganglia and Cancer Cells: An In Vitro Model to Study Perineural Cancer Cell Invasion
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2023
In this video, we demonstrate the procedure for developing an in vitro perineural cancer cell invasion model by co-culturing mouse dorsal root ganglion and neurotropic cancer cells. The model can be utilized to conduct cancer assays, producing rapid and reproducible results.
09:58
Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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Cited by 25 •
2016
Here we describe a protocol aimed at investigating the impact of aberrant splicing on drug resistance in solid tumors and hematological malignancies. To this goal, we analyzed the transcriptomic profiles of parental and resistant in vitro models through RNA-seq and established a qRT-PCR based method to validate candidate genes.
FAQs
Defined nutrients, gas conditions, extracellular matrix, and signaling factors can alter how cancer cells or tumor-like structures behave. These variables affect measurable outcomes such as proliferation, invasion, survival, and drug sensitivity. Keeping them controlled improves reproducibility and helps researchers attribute differences between experiments to the treatment or biological condition being investigated rather than to inconsistent culture conditions.
Extracellular matrix provides part of the surrounding environment in which tumor cells grow and respond to signals. Changing this environment can influence processes such as invasion, survival, and proliferation. Including matrix conditions therefore helps researchers examine tumor behavior under defined experimental settings and determine how environmental signals may affect treatment responses or progression-related mechanisms.
A model can incorporate malignant cells together with neural or brain-associated cells, allowing investigators to examine communication between these populations under controlled conditions. This arrangement adds biological context beyond studying cancer cells alone and is particularly relevant to brain tumors. Researchers can then assess how cellular interactions relate to tumor progression, survival, invasion, or therapeutic response.
Common measurements include cancer-cell proliferation, invasion, survival, and sensitivity to drugs or other therapeutic strategies. Tumor-like structures can also support analysis of how growth conditions or cellular interactions influence these behaviors. Comparing such outcomes across defined experimental conditions helps identify treatment effects and investigate mechanisms associated with tumor progression.
Researchers establish cancer cells, tissues, or tumor-like structures under defined culture conditions, maintain the selected nutrients, gases, extracellular matrix, and signaling factors, and introduce the experimental treatment or comparison condition. They then measure relevant outcomes, such as proliferation, invasion, survival, or drug sensitivity. This workflow supports controlled comparisons across reproducible laboratory experiments.
This approach is useful when investigators need a controlled platform to test therapeutic strategies or compare drug sensitivity before moving to more complex studies. It can reveal how treatments affect cancer-cell survival, proliferation, or invasion under defined conditions. In neuroscience research, the same platform can focus these tests on brain tumors and their interactions with neural or brain-associated cells.
In vitro systems reduce experimental complexity by isolating selected tumor behaviors and interactions under controlled laboratory conditions. They can provide reproducible evidence about tumor progression mechanisms and treatment responses before or alongside animal studies. Their role is complementary rather than substitutive: the models simplify investigation, while animal studies provide a different level of biological context.