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Cited by 266

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Tumors and Mitochondrial Respiration: A Neglected Connection

Viale, Andrea, Corti, Denise, Draetta, Giulio F.·2015·Cancer Research

Abstract

For decades, tumor cells have been considered defective in mitochondrial respiration due to their dominant glycolytic metabolism. However, a growing body of evidence is now challenging this assumption, and also implying that tumors are metabolically less homogeneous than previously supposed. A small subpopulation of slow-cycling cells endowed with tumorigenic potential and multidrug resistance has been isolated from different tumors. Deep metabolic characterization of these tumorigenic cells revealed their dependency on mitochondrial respiration versus glycolysis, suggesting the existence of a common metabolic program active in slow-cycling cells across different tumors. These findings change our understanding of tumor metabolism and also highlight new vulnerabilities that can be exploited to eradicate cancer cells responsible for tumor relapse. Cancer Res; 75(18); 3687–91. ©2015 AACR.

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Crossref · 10.1158/0008-5472.can-15-0491

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Metadata

Authors
Viale, A., Corti, D., & Draetta, G. F.
Venue
Cancer Research
Published
2015-09-14
Volume
75
Issue
18
Pages
3687-3691
ISSN
  • 0008-5472 (ISSN-L)
  • 1538-7445
OpenAlex
W2135846760
Cited by
266
References
12
FWCI
7.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tumors and Mitochondrial Respiration: A Neglected Connection. https://app.cochat.ai/papers/10.1158/0008-5472.can-15-0491
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Viale, A., Corti, D., & Draetta, G. F. (2015). Tumors and Mitochondrial Respiration: A Neglected Connection. Cancer Research. https://doi.org/10.1158/0008-5472.can-15-0491

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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.