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Cited by 391

The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.

THE GREAT ESCAPE: When Cancer Cells Hijack the Genes for Chemotaxis and Motility

Condeelis, John, Singer, Robert H., Segall, Jeffrey E.·2005·Annual Review of Cell and Developmental Biology

Abstract

The combined use of the new technologies of multiphoton-based intravital imaging, the chemotaxis-mediated collection of invasive cells, and high sensitivity expression profiling has allowed the correlation of the behavior of invasive tumor cells in vivo with their gene expression patterns. New insights have resulted including a gene expression signature for invasive cells and the tumor microenvironment invasion model. This model proposes that tumor invasion and metastasis can be studied as a problem resembling normal morphogenesis. We discuss how these new insights may lead to a better understanding of the molecular basis of the invasive behavior of tumor cells in vivo, which may result in new strategies for the diagnosis and treatment of metastasis.

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Crossref · 10.1146/annurev.cellbio.21.122303.120306

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Metadata

Authors
Condeelis, J., Singer, R. H., & Segall, J. E.
Venue
Annual Review of Cell and Developmental Biology
Published
2005-11-01
Volume
21
Issue
1
Pages
695-718
ISSN
  • 1081-0706 (ISSN-L)
  • 1530-8995
OpenAlex
W2164282019
Cited by
391
References
105
FWCI
1.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: THE GREAT ESCAPE: When Cancer Cells Hijack the Genes for Chemotaxis and Motility. https://app.cochat.ai/papers/10.1146/annurev.cellbio.21.122303.120306
The paper
Condeelis, J., Singer, R. H., & Segall, J. E. (2005). THE GREAT ESCAPE: When Cancer Cells Hijack the Genes for Chemotaxis and Motility. Annual Review of Cell and Developmental Biology. https://doi.org/10.1146/annurev.cellbio.21.122303.120306

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.