Liver Metastasis Model
Liver Metastasis Model - Related Videos
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.
05:15
Portal Vein Injection: A Method to Study Cancer Metastasis to the Liver
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2023
This video describes a surgical procedure to deliver mammary tumor cells to the murine liver via portal vein injection. This model permits the investigation of late stages of liver metastasis.
05:06
A "Patient-Like" Orthotopic Syngeneic Mouse Model of Hepatocellular Carcinoma Metastasis
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Cited by 2 •
2015
The metastatic spread of cancer is the major cause of cancer-related deaths. We provide an in-depth description of our survival surgery methodology for establishing a “patient-like” orthotopic syngeneic mouse model system for studying the mechanisms of metastasis in solid organ tumors.
08:40
Quantitative Analysis of Cancer Metastasis using an Avian Embryo Model
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Cited by 90 •
2011
Using quantitative PCR, we demonstrate how the well-established chick CAM model can be used to quantitatively analyze the metastasis of human tumor cells to distant organs.
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.
FAQs
These models can be organized around a sequence of metastatic events: tumor-cell invasion, entry into circulation, vascular arrest, adaptation to the liver microenvironment, and eventual colonization. Examining stages separately helps connect an observed outcome, such as tumor growth, with the biological process that produced it. This framework is useful for relating molecular mechanisms to measurable disease behavior.
Interactions with the liver microenvironment are central because cancer cells do not act alone after reaching the organ. Liver metastasis models can examine communication among tumor cells, hepatocytes, stromal cells, and immune components. Including these participants allows investigators to study how local cellular relationships influence survival, adaptation, and growth, rather than focusing only on cancer-cell behavior.
Model format shapes the questions that can be addressed. Cultured cells provide a cell-based system, whereas engineered tissues and organoids offer tissue-oriented experimental settings; animal systems extend investigation to tumor growth within an organism. These formats are complementary rather than interchangeable, so researchers can match the model to the desired level of cellular, tissue, or whole-organism analysis.
Researchers begin by matching the experimental system to the process they need to examine, such as invasion, circulation, vascular arrest, adaptation, or colonization. They then use the selected cultured-cell, engineered-tissue, organoid, or animal format to assess interactions and outcomes relevant to that process. This approach keeps model design aligned with the biological question and the measurements required.
Beyond showing whether tumors grow, these models can connect molecular mechanisms with measurable tumor growth and treatment response. That combination supports evaluation of potential biomarkers, which may indicate relevant biological behavior, and assessment of candidate treatments in a controlled experimental context. The resulting data help investigators relate mechanistic findings to outcomes that matter in translational cancer research.
In medicine, these models are valuable because they bridge mechanistic cancer research and therapeutic development. Investigators can use them to study how metastatic cells interact with liver cells and to evaluate how tumor growth responds to treatment. Their relevance comes from combining biological context with measurable outcomes, supporting research aimed at understanding secondary tumor formation and developing therapeutic strategies.