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Cancer patients have an increased risk of venous thromboembolism (VTE) compared with the general population. Mouse models are used to better understand the mechanisms of cancer-associated thrombosis. Several mouse models of cancer-associated thrombosis have been developed that use different mouse strains, tumors, tumor sites and thrombosis models. In this review, we summarize these different models. These models have been used to determine the role of different pathways in cancer-associated thrombosis. For instance, they have revealed roles for tumor-derived tissue factor-positive microvesicles and neutrophil extracellular traps in thrombosis in tumor-bearing mice. A better understanding of the mechanisms of cancer-associated thrombosis may allow the development of new therapies to reduce thrombosis in cancer patients.
This article was published in the following journal.
Name: Thrombosis research
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One of the first INBRED MOUSE STRAINS to be sequenced. This strain is commonly used as genetic background for transgenic mouse models. Refractory to many tumors, this strain is also preferred model for studying role of genetic variations in development of diseases.
Strains of mice in which certain GENES of their GENOMES have been disrupted, or "knocked-out". To produce knockouts, using RECOMBINANT DNA technology, the normal DNA sequence of the gene being studied is altered to prevent synthesis of a normal gene product. Cloned cells in which this DNA alteration is successful are then injected into mouse EMBRYOS to produce chimeric mice. The chimeric mice are then bred to yield a strain in which all the cells of the mouse contain the disrupted gene. Knockout mice are used as EXPERIMENTAL ANIMAL MODELS for diseases (DISEASE MODELS, ANIMAL) and to clarify the functions of the genes.
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.
Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression.
Statistical models of the production, distribution, and consumption of goods and services, as well as of financial considerations. For the application of statistics to the testing and quantifying of economic theories MODELS, ECONOMETRIC is available.
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Bladder Cancer Brain Cancer Breast Cancer Cancer Cervical Cancer Colorectal Head & Neck Cancers Hodgkin Lymphoma Leukemia Lung Cancer Melanoma Myeloma Ovarian Cancer Pancreatic Cancer ...