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Cited by 950

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

The metabolism of cancer cells during metastasis

Open access
Bergers, Gabriele, Fendt, Sarah-Maria·2021·Nature Reviews Cancer

Abstract

Metastasis formation is the major cause of death in most patients with cancer. Despite extensive research, targeting metastatic seeding and colonization is still an unresolved challenge. Only recently, attention has been drawn to the fact that metastasizing cancer cells selectively and dynamically adapt their metabolism at every step during the metastatic cascade. Moreover, many metastases display different metabolic traits compared with the tumours from which they originate, enabling survival and growth in the new environment. Consequently, the stage-dependent metabolic traits may provide therapeutic windows for preventing or reducing metastasis, and targeting the new metabolic traits arising in established metastases may allow their eradication. This Review describes the metabolic rewiring that occurs in cancer cells transitioning through the metastatic cascade and discusses the evidence for metabolically distinct features of primary tumours and metastases.

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Crossref · 10.1038/s41568-020-00320-2

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Metadata

Authors
Bergers, G., & Fendt, S.-M.
Venue
Nature Reviews Cancer
Published
2021-01-18
Volume
21
Issue
3
Pages
162-180
ISSN
  • 1474-175X (ISSN-L)
  • 1474-1768
OpenAlex
W3121611509
Cited by
950
References
17
FWCI
21.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The metabolism of cancer cells during metastasis. https://app.cochat.ai/papers/10.1038/s41568-020-00320-2
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Bergers, G., & Fendt, S.-M. (2021). The metabolism of cancer cells during metastasis. Nature Reviews Cancer. https://doi.org/10.1038/s41568-020-00320-2

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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.