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Cited by 227

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

Mitochondria in cancer

Open access
Grasso, Debora, Zampieri, Luca X., Capelôa, Tânia, Van de Velde, Justine A., Sonveaux, Pierre·2020·Cell Stress

Abstract

The rediscovery and reinterpretation of the Warburg effect in the year 2000 occulted for almost a decade the key functions exerted by mitochondria in cancer cells. Until recent times, the scientific community indeed focused on constitutive glycolysis as a hallmark of cancer cells, which it is not, largely ignoring the contribution of mitochondria to the malignancy of oxidative and glycolytic cancer cells, being Warburgian or merely adapted to hypoxia. In this review, we highlight that mitochondria are not only powerhouses in some cancer cells, but also dynamic regulators of life, death, proliferation, motion and stemness in other types of cancer cells. Similar to the cells that host them, mitochondria are capable to adapt to tumoral conditions, and probably to evolve to 'oncogenic mitochondria' capable of transferring malignant capacities to recipient cells. In the wider quest of metabolic modulators of cancer, treatments have already been identified targeting mitochondria in cancer cells, but the field is still in infancy.

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Metadata

Authors
Grasso, D., Zampieri, L. X., Capelôa, T., Van de Velde, J. A., & Sonveaux, P.
Venue
Cell Stress
Published
2020-06-08
Volume
4
Issue
6
Pages
114-146
ISSN
2523-0204 (ISSN-L)
OpenAlex
W3033521417
Cited by
227
References
90
FWCI
10.07
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Mitochondria in cancer. https://app.cochat.ai/papers/10.15698/cst2020.06.221
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Grasso, D., Zampieri, L. X., Capelôa, T., Van de Velde, J. A., & Sonveaux, P. (2020). Mitochondria in cancer. Cell Stress. https://doi.org/10.15698/cst2020.06.221

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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.