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Cited by 572

The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.

The actin cytoskeleton in cancer cell motility

Open access
Olson, Michael F., Sahai, Erik·2009·Clinical & Experimental Metastasis

Abstract

Cancer cell metastasis is a multi-stage process involving invasion into surrounding tissue, intravasation, transit in the blood or lymph, extravasation, and growth at a new site. Many of these steps require cell motility, which is driven by cycles of actin polymerization, cell adhesion and acto-myosin contraction. These processes have been studied in cancer cells in vitro for many years, often with seemingly contradictory results. The challenge now is to understand how the multitude of in vitro observations relates to the movement of cancer cells in living tumour tissue. In this review we will concentrate on actin protrusion and acto-myosin contraction. We will begin by presenting some general principles summarizing the widely-accepted mechanisms for the co-ordinated regulation of actin polymerization and contraction. We will then discuss more recent studies that investigate how experimental manipulation of actin dynamics affects cancer cell invasion in complex environments and in vivo.

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Metadata

Authors
Olson, M. F., & Sahai, E.
Venue
Clinical & Experimental Metastasis
Published
2008-05-23
Volume
26
Issue
4
Pages
273-87
ISSN
  • 0262-0898 (ISSN-L)
  • 1573-7276
OpenAlex
W2077810031
Cited by
572
References
124
FWCI
9.46
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The actin cytoskeleton in cancer cell motility. https://app.cochat.ai/papers/10.1007/s10585-008-9174-2
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Olson, M. F., & Sahai, E. (2009). The actin cytoskeleton in cancer cell motility. Clinical & Experimental Metastasis. https://doi.org/10.1007/s10585-008-9174-2

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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.