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Cited by 280

The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.

The PI3K/Akt Pathway and Glucose Metabolism: A Dangerous Liaison in Cancer

Open access
Fontana, Fabrizio, Giannitti, Gaia, Marchesi, Sara, Limonta, Patrizia·2024·International Journal of Biological Sciences

Abstract

Aberrant activation of the PI3K/Akt pathway commonly occurs in cancers and correlates with multiple aspects of malignant progression. In particular, recent evidence suggests that the PI3K/Akt signaling plays a fundamental role in promoting the so-called aerobic glycolysis or Warburg effect, by phosphorylating different nutrient transporters and metabolic enzymes, such as GLUT1, HK2, PFKB3/4 and PKM2, and by regulating various molecular networks and proteins, including mTORC1, GSK3, FOXO transcription factors, MYC and HIF-1α. This leads to a profound reprogramming of cancer metabolism, also impacting on pentose phosphate pathway, mitochondrial oxidative phosphorylation, de novo lipid synthesis and redox homeostasis and thereby allowing the fulfillment of both the catabolic and anabolic demands of tumor cells. The present review discusses the interactions between the PI3K/Akt cascade and its metabolic targets, focusing on their possible therapeutic implications.

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Crossref · 10.7150/ijbs.89942

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Metadata

Authors
Fontana, F., Giannitti, G., Marchesi, S., & Limonta, P.
Venue
International Journal of Biological Sciences
Published
2024
Volume
20
Issue
8
Pages
3113-3125
ISSN
1449-2288 (ISSN-L)
OpenAlex
W4399127042
Cited by
280
References
170
FWCI
42.84
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The PI3K/Akt Pathway and Glucose Metabolism: A Dangerous Liaison in Cancer. https://app.cochat.ai/papers/10.7150/ijbs.89942
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Fontana, F., Giannitti, G., Marchesi, S., & Limonta, P. (2024). The PI3K/Akt Pathway and Glucose Metabolism: A Dangerous Liaison in Cancer. International Journal of Biological Sciences. https://doi.org/10.7150/ijbs.89942

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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.