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Cited by 444

The DOI matches its Crossref record; 169 of the 169 references it cites were found in a registry or an index.

Lipid Metabolism, Apoptosis and Cancer Therapy

Open access
Huang, Chunfa, Freter, Carl·2015·International Journal of Molecular Sciences

Abstract

Lipid metabolism is regulated by multiple signaling pathways, and generates a variety of bioactive lipid molecules. These bioactive lipid molecules known as signaling molecules, such as fatty acid, eicosanoids, diacylglycerol, phosphatidic acid, lysophophatidic acid, ceramide, sphingosine, sphingosine-1-phosphate, phosphatidylinositol-3 phosphate, and cholesterol, are involved in the activation or regulation of different signaling pathways. Lipid metabolism participates in the regulation of many cellular processes such as cell growth, proliferation, differentiation, survival, apoptosis, inflammation, motility, membrane homeostasis, chemotherapy response, and drug resistance. Bioactive lipid molecules promote apoptosis via the intrinsic pathway by modulating mitochondrial membrane permeability and activating different enzymes including caspases. In this review, we discuss recent data in the fields of lipid metabolism, lipid-mediated apoptosis, and cancer therapy. In conclusion, understanding the underlying molecular mechanism of lipid metabolism and the function of different lipid molecules could provide the basis for cancer cell death rationale, discover novel and potential targets, and develop new anticancer drugs for cancer therapy.

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Metadata

Authors
Huang, C., & Freter, C.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2015-01-02
Volume
16
Issue
1
Pages
924-949
ISSN
1422-0067 (ISSN-L)
OpenAlex
W1996221314
Cited by
444
References
169
FWCI
10.30
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Lipid Metabolism, Apoptosis and Cancer Therapy. https://app.cochat.ai/papers/10.3390/ijms16010924
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Huang, C., & Freter, C. (2015). Lipid Metabolism, Apoptosis and Cancer Therapy. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms16010924

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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