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Digestive Surgery
Article
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Digestive Surgery
Article . 2005 . Peer-reviewed
Data sources: Crossref
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Mouse Models of Colorectal Cancer and Liver Metastases

Authors: M W, Heijstek; O, Kranenburg; I H M, Borel Rinkes;

Mouse Models of Colorectal Cancer and Liver Metastases

Abstract

Colorectal cancer (CRC) is one of the most common malignancies in the western world. Its high mortality rates are particularly related to the occurrence of liver metastases. Many mouse models have been developed to evaluate the various features of CRC in human. Since none of the existing mouse models mimics all the characteristics of human CRC, it is of crucial importance that the optimal model is chosen for each experiment to resolve a specific experimental question. Currently used mouse models for CRC include chemically induced CRC models, genetically engineered mouse models and models in which colon tumors are implanted in recipient mice. Recently, conditional mouse models have been created in which a gene of interest can be (in)activated in a time- and tissue-specific manner. All models have their advantages and limitations. This review highlights the most commonly used mouse models for CRC and its liver metastases, their usefulness and shortcomings, as well as recent improvements, particularly regarding intravital (tumor) imaging.

Keywords

Genes, APC, Liver Neoplasms, Colorectal Neoplasms, Hereditary Nonpolyposis, Disease Models, Animal, Mice, Animals, Neoplasm Invasiveness, Colorectal Neoplasms, Genetic Engineering, Luciferases, Germ-Line Mutation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    103
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
103
Top 10%
Top 10%
Top 10%
bronze
Related to Research communities
Cancer Research