Metastatic Lesion Analysis
Metastatic Lesion Analysis - Related Videos
08:16
Comparative Lesions Analysis Through a Targeted Sequencing Approach
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2019
This article describes a method to identify clonal and subclonal alterations among different specimens from a given patient. Although the experiments described here focus on a specific tumor type, the approach is broadly applicable to other solid tumors.
07:42
Modelling Brain Metastasis: Standardized Analysis of Metastatic Colonization and Histological Growth Patterns by Stereotactic Intracortical Injection
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Cited by 1 •
2026
The stereotactic intracranial injection technique enables precise and localized implantation of tumor cells into the mouse cortex, making it a powerful model for studying metastatic colonization of the brain.
06:43
Quantitative Analysis and Characterization of Atherosclerotic Lesions in the Murine Aortic Sinus
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Cited by 51 •
2013
We describe procedures to quantify and characterize atherosclerotic lesions in mouse models using precision sectioning of the aortic sinus and ascending aorta combined with histochemical and immunohistochemical analysis.
03:52
Experimental Metastatic Melanoma Mouse Model: A Platform to Study the Metastatic Potential of Melanoma Cells in the Lungs
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2023
In this video, melanoma cells are intravenously injected through the tail vein in the mouse model. The melanoma cells further travel through the circulatory system, adapting to the distant microenvironment and causing metastasis in organs like lungs.
02:25
zPDX-Analysis of Invasiveness: Investigating Invasive Behavior of Metastatic Cancer Cells in Zebrafish Embryo Xenografts
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2023
This video describes a microinjection method for breast cancer cell delivery into the perivitelline space of transgenic zebrafish embryos. After incubation, we visualize the embryo under a fluorescent microscope to observe cancer cell invasion, dissemination, and metastasis.
FAQs
These evidence types provide complementary information rather than serving as interchangeable measurements. Imaging characterizes lesion location and appearance, histopathology evaluates tissue structure, and molecular or immunohistochemical markers add biological information. When interpreted together, they help distinguish metastatic disease from other findings and support a more consistent assessment of tumor involvement across different tissues.
Metastatic lesions from the same primary cancer may differ in their observable features and biological markers. Comparing lesions can therefore reveal heterogeneity, meaning variation among tumor sites, rather than treating all disease as uniform. This comparison helps researchers investigate differences in progression and treatment response and can identify patterns that would be missed by examining only one lesion.
Evaluating lesions at different sites provides data about how disease changes as cancer cells disseminate and establish new tumors. Differences in lesion characteristics and markers can be examined alongside progression patterns and treatment response. In cancer research, this supports investigation of how metastatic disease behaves across tissues and how resistance to therapy may emerge or vary between sites.
A typical workflow begins by localizing lesions and recording their measurements. Researchers then assess imaging features and examine available tissue through histopathology, with molecular or immunohistochemical markers added when relevant. Results from these assessments are integrated to characterize each lesion, compare sites, evaluate disease extent, and document differences associated with progression or treatment response.
Key information includes where each lesion is located, how large it is, and what features it shows on imaging. Tissue assessment contributes histopathological findings, while molecular or immunohistochemical analysis supplies additional marker data. Organizing these observations by lesion and site allows researchers to compare metastatic involvement and examine variation across the disease burden.
The analysis is relevant when investigators or clinicians need to assess disease extent, support staging, or compare metastatic sites. It also provides a framework for evaluating treatment response across lesions rather than relying on a single location. In research, the resulting data support studies of tumor heterogeneity, dissemination, lesion establishment, progression, and therapy resistance.