Tumor Stroma Analysis
Tumor Stroma Analysis - Related Videos
07:20
A Novel Stromal Fibroblast-Modulated 3D Tumor Spheroid Model for Studying Tumor-Stroma Interaction and Drug Discovery
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Cited by 22 •
2020
A novel three-dimensional spheroid model based on the heterotypic interaction of tumor cells and stromal fibroblasts is established. Here, we present coculture of tumor cells and stromal fibroblasts, time-lapse imaging, and confocal microscopy to visualize the formation of spheroids. This three-dimensional model offers a pertinent platform to study tumor-stroma interactions and test cancer therapeutics.
01:24
Protein Transport to the Stroma
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2023
Chloroplasts are triple membrane structures with an outer membrane, an inner membrane, and a thylakoid membrane, each containing distinct metabolite transporters, membrane translocons, and enzymes. Appropriate sorting and translocating these proteins to their correct membrane systems is essential for chloroplast function. Protein complexes called the translocon of the outer chloroplast membrane or TOC complex, and the translocon of the inner chloroplast membrane or TIC complex mediate the...
11:52
Analysis of Targeted Viral Protein Nanoparticles Delivered to HER2+ Tumors
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Cited by 1 •
2013
This article details the procedures for optical imaging analysis of the tumor-targeted nanoparticle, HerDox. In particular, detailed use of the multimode imaging device for detecting tumor targeting and assessing tumor penetration is described here.
11:09
Establishing Intracranial Brain Tumor Xenografts With Subsequent Analysis of Tumor Growth and Response to Therapy using Bioluminescence Imaging
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Cited by 104 •
2010
Luciferase-modified human brain tumor xenografts can be established intracranially in athymic mice, with subsequent monitoring of tumor growth and response to therapy using bioluminescence imaging. In combination with survival analysis, bioluminescence monitoring is an essential research tool for pre-clinical testing of therapies being considered for treating brain tumors.
08:04
Evaluation of Nanoparticle Uptake in Tumors in Real Time Using Intravital Imaging
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Cited by 51 •
2011
We present a novel approach to quantify nanoparticle localization in the vasculature of human xenografted tumors using dynamic, real-time intravital imaging in an avian embryo model.
FAQs
Stromal influence operates through two linked features: biological signaling and physical structure. Signals from fibroblasts, immune cells, blood vessels, and matrix-associated components can shape tumor growth, invasion, and immune evasion, while matrix properties provide a physical context around malignant cells. Assessing both dimensions helps explain why surrounding tissue can affect treatment response, not merely tumor appearance.
These components provide distinct dimensions for characterization rather than interchangeable markers. Fibroblasts, immune cells, blood vessels, and matrix proteins can be examined as cellular, vascular, or structural features, while their signals and physical properties are related to tumor growth, invasion, immune evasion, and treatment response. Separating these features helps investigators compare how different stromal profiles shape tumor behavior.
Using several modalities makes the assessment broader than relying on a single tissue readout. Histology can support tissue-level examination, immunohistochemistry can help characterize selected components, and molecular profiling or imaging can add complementary information. Combining these approaches allows researchers to relate stromal composition and organization to tumor behavior and treatment response within the same investigative framework.
A typical workflow begins by examining tumor-associated tissue with one or more analytical methods, then characterizing the nonmalignant components and extracellular matrix. Investigators next consider the signals and physical properties associated with those features and relate them to growth, invasion, immune evasion, or treatment response. The resulting profile can support tumor-subtype assessment, biomarker evaluation, or mechanistic studies.
By linking stromal features with clinical or biological behavior, the analysis can reveal candidate biomarkers. Characterized fibroblasts, immune cells, vessels, matrix proteins, and their associated signals may help distinguish tumor subtypes or indicate prognosis and likely treatment response. These findings support evaluation of prognostic biomarkers associated with outcomes and predictive biomarkers associated with response to therapy.
It can connect treatment failure with features of the surrounding microenvironment rather than attributing every outcome to malignant cells alone. Comparing stromal composition, signals, and physical properties with treatment response helps researchers investigate possible mechanisms of resistance. This context can guide development of strategies designed to target both cancer cells and the surrounding microenvironment.