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Cited by 313

The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.

Targeting Metabolic Plasticity and Flexibility Dynamics for Cancer Therapy

Open access
Fendt, Sarah-Maria, Frezza, Christian, Erez, Ayelet·2020·Cancer Discovery

Abstract

Cancer cells continuously rewire their metabolism to fulfill their need for rapid growth and survival while subject to changes in environmental cues. Thus, a vital component of a cancer cell lies in its metabolic adaptability. The constant demand for metabolic alterations requires flexibility, that is, the ability to utilize different metabolic substrates; as well as plasticity, that is, the ability to process metabolic substrates in different ways. In this review, we discuss how dynamic changes in cancer metabolism affect tumor progression and the consequential implications for cancer therapy. Significance: Recognizing cancer dynamic metabolic adaptability as an entity can lead to targeted therapy that is expected to decrease drug resistance.

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Registry

Crossref · 10.1158/2159-8290.cd-20-0844

Cites

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Metadata

Authors
Fendt, S.-M., Frezza, C., & Erez, A.
Venue
Cancer Discovery
Published
2020-12-01
Volume
10
Issue
12
Pages
1797-1807
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W3095331736
Cited by
313
References
105
FWCI
9.35
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Targeting Metabolic Plasticity and Flexibility Dynamics for Cancer Therapy. https://app.cochat.ai/papers/10.1158/2159-8290.cd-20-0844
The paper
Fendt, S.-M., Frezza, C., & Erez, A. (2020). Targeting Metabolic Plasticity and Flexibility Dynamics for Cancer Therapy. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-20-0844

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.