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Metastatic Stem Cells: Sources, Niches, and Vital Pathways
Open accessAbstract
Metastasis is powered by disseminated cancer cells that recreate a full-fledged tumor in unwelcoming tissues, away from the primary site. How cancer cells moving from a tumor into the circulation manage to infiltrate distant organs and initiate metastatic growth is of interest to cancer biologists and clinical oncologists alike. Recent findings have started to define the sources, phenotypic properties, hosting niches, and signaling pathways that support the survival, self-renewal, dormancy and reactivation of cancer cells that initiate metastasis–metastatic stem cells. By dissecting the biology of this process, vulnerabilities are being exposed that could be exploited to prevent metastasis.
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Metadata
- Authors
- Oskarsson, T., Batlle, E., & Massagué, J.
- Venue
- Cell Stem Cell
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 14
- Issue
- 3
- Pages
- 306-321
- ISSN
- 1875-9777 (ISSN-L)
- 1934-5909
- OpenAlex
- W2052467200
- Cited by
- 708
- References
- 190
- FWCI
- 31.02
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
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.