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Drug Discovery Today Disease Models
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Drug Discovery Today Disease Models
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Drug Discovery Today Disease Models
Article . 2011
License: CC BY NC ND
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Genetically modified mouse models of cancer invasion and metastasis

Authors: Rampetsreiter, Paulina; Casanova, Emilio; Eferl, Robert;

Genetically modified mouse models of cancer invasion and metastasis

Abstract

Tumor invasion and metastasis is a multi-step process that requires adaptation of cancer cells to conditions that they encounter during their journey to distant body sites. Understanding the molecular processes that underlie this adaptation is of exceeding importance because most cancer patients die because of metastases rather than primary tumors. In this review we assess genetically engineered mouse models (GEMMs) that have been established to investigate mechanisms of cancer invasion and metastasis.

Keywords

Drug Discovery, Cell Migration and Metastasis Formation, Molecular Medicine

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    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).
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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
24
Top 10%
Average
Top 10%
Green
hybrid