Metastasis Visualization
Metastasis Visualization - Related Videos
08:28
Experimental Metastasis Assay
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Cited by 28 •
2010
This article describes the procedures of an experimental metastasis assay that is used to determine the metastatic potential of human cancer cell lines.
11:43
Advanced Animal Model of Colorectal Metastasis in Liver: Imaging Techniques and Properties of Metastatic Clones
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Cited by 6 •
2016
The ability of metastatic clones to colonize distant sites depends on their proliferation capacity and/or their ability to survive in the host microenvironment without significant proliferation. Here, we present an animal model that allows quantitative visualization of both types of liver colonization by metastatic clones.
11:19
Ex vivo Live Imaging of Lung Metastasis and Their Microenvironment
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Cited by 6 •
2016
We describe a relatively simple method for ex vivo live imaging of the tumor cell-stroma interactions within lung metastasis, utilizing fluorescent reporters in mice. Using spinning-disk confocal microscopy, this technique enables visualization of live cells for at least 4 hr and could be adapted to study other inflammatory lung conditions.
08:49
Models of Bone Metastasis
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Cited by 115 •
2012
Animal models are frequently utilized to study cancer metastasis to bone. In this protocol we will describe two common methods of tumor inoculation for bone metastasis studies and briefly describe some of the analyses utilized to monitor and quantify these models.
02:30
Metastasis
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2021
Metastasis is the spread of cancer cells from the original site to distant locations in the body. Cancer cells can spread via blood vessels (hematogenous) as well as lymph vessels in the body. Epithelial-to-Mesenchymal Transition The epithelial-to-mesenchymal transition or EMT is a developmental process commonly observed in wound healing, embryogenesis, and cancer metastasis. EMT is induced by transforming growth factor-beta (TGF-β) or receptor tyrosine kinase (RTK) ligands, which further...
FAQs
The approach creates contrast by exploiting differences between metastatic cancer cells and nearby healthy tissue. These differences may involve anatomy, cellular structure, metabolism, or molecular markers. Selecting a contrast that matches the biological feature of interest helps investigators identify suspicious lesions and characterize them more clearly, supporting interpretation of tumor distribution and disease progression.
Imaging and microscopy provide complementary levels of information. Imaging can show the location and distribution of lesions within tissues or the body, while microscopy can reveal cellular structure and interactions at a finer scale. The choice depends on whether the investigation emphasizes overall disease mapping, individual tumor cells, or changes in the surrounding microenvironment.
Metastatic spread depends on tumor cells invading blood or lymphatic vessels, establishing secondary tumors, and interacting with surrounding tissue. Visualization of these processes can connect a lesion’s location with the biological events that produced it. This context helps researchers examine disease progression rather than viewing metastatic sites as isolated abnormalities.
Following lesions over time adds a progression dimension that a single observation cannot provide. Changes in the location, appearance, or detectable characteristics of metastatic sites can help assess whether disease is advancing or responding to treatment. Longitudinal visualization therefore supports treatment response assessment and can clarify the timing and pattern of disease development.
A study generally begins by selecting a visualization approach suited to the feature being examined, such as anatomy, cellular structure, metabolism, or a molecular marker. Investigators then locate and characterize suspected metastatic sites, compare findings across relevant observations, and monitor changes when follow-up is included. The resulting information can support staging, planning, or progression analysis.
By showing where cancer has spread and how metastatic sites are characterized, visualization contributes to determining disease extent. That information supports cancer staging and helps inform treatment planning. When observations are repeated, they can also show how disease changes during care, providing evidence for response assessment and more precise clinical decision-making.
In medical research, these approaches can examine how tumor cells leave a primary tumor, enter blood or lymphatic vessels, establish secondary tumors, and interact with their microenvironment. They also help researchers study disease progression and investigate whether improved detection can reveal metastatic disease earlier, potentially clarifying mechanisms that influence clinical outcomes.