The DOI matches its Crossref record; 225 of the 225 references it cites were found in a registry or an index.
Reprogramming of fatty acid metabolism in cancer
Open accessAbstract
A common feature of cancer cells is their ability to rewire their metabolism to sustain the production of ATP and macromolecules needed for cell growth, division and survival. In particular, the importance of altered fatty acid metabolism in cancer has received renewed interest as, aside their principal role as structural components of the membrane matrix, they are important secondary messengers, and can also serve as fuel sources for energy production. In this review, we will examine the mechanisms through which cancer cells rewire their fatty acid metabolism with a focus on four main areas of research. (1) The role of de novo synthesis and exogenous uptake in the cellular pool of fatty acids. (2) The mechanisms through which molecular heterogeneity and oncogenic signal transduction pathways, such as PI3K–AKT–mTOR signalling, regulate fatty acid metabolism. (3) The role of fatty acids as essential mediators of cancer progression and metastasis, through remodelling of the tumour microenvironment. (4) Therapeutic strategies and considerations for successfully targeting fatty acid metabolism in cancer. Further research focusing on the complex interplay between oncogenic signalling and dysregulated fatty acid metabolism holds great promise to uncover novel metabolic vulnerabilities and improve the efficacy of targeted therapies.
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1 retracted
Wu, Q., Li, J., Li, Z., Sun, S., Zhu, S., Wang, L., Wu, J., Yuan, J., Zhang, Y., Sun, S., et al. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1210-3 · Cited by 142
RetractedmTOR Signaling in Growth, Metabolism, and Disease
Saxton, R. A., & Sabatini, D. M. (2017) · Cell · doi:10.1016/j.cell.2017.02.004 · Cited by 7,555
The phosphoinositide 3-kinase pathway
Cantley, L. C. (2002) · Science · doi:10.1126/science.296.5573.1655 · Cited by 5,621
Brown, M. S., & Goldstein, J. L. (1997) · Cell · doi:10.1016/s0092-8674(00)80213-5 · Cited by 3,834
Prostaglandins and Inflammation
Ricciotti, E., & FitzGerald, G. A. (2011) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.110.207449 · Cited by 3,803
AKT/PKB Signaling: Navigating the Network
Manning, B. D., & Toker, A. (2017) · Cell · doi:10.1016/j.cell.2017.04.001 · Cited by 3,772
Targeting RAS signalling pathways in cancer therapy
Downward, J. (2003) · Nature Reviews Cancer · doi:10.1038/nrc969 · Cited by 3,256
Oxidized arachidonic and adrenic PEs navigate cells to ferroptosis
Kagan, V. E., Mao, G., Qu, F., Angeli, J. P. F., Doll, S., Croix, C. S., Dar, H. H., Liu, B., Tyurin, V. A., Ritov, V. B., et al. (2017) · Nature Chemical Biology · doi:10.1038/nchembio.2238 · Cited by 3,029
Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis
Menendez, J. A., & Lupu, R. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2222 · Cited by 2,941 · cited 2×
“Molecular heterogeneity and lipid reprogramming Gene expression analyses have long suggested that upregulation of several enzymes involved in lipid metabolism is a near-universal metabolic hallmark of cancer cells.(4,65) However, more nuanced observations from these genomic studies highlight differences in the express…”
BackgroundSimopoulos, A. P. (2008) · Experimental Biology and Medicine · doi:10.3181/0711-mr-311 · Cited by 2,915
Cited by
Bian, X., Liu, R., Meng, Y., Xing, D., Xu, D., & Lu, Z. (2021) · Journal of Experimental Medicine · doi:10.1084/jem.20201606 · Cited by 983
Mechanisms of Metabolic Reprogramming in Cancer Cells Supporting Enhanced Growth and Proliferation
Schiliro, C., & Firestein, B. L. (2021) · Cells · doi:10.3390/cells10051056 · Cited by 615
Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention
Butler, L. M., Perone, Y., Dehairs, J., Lupien, L. E., de Laat, V., Talebi, A., Loda, M., Kinlaw, W. B., & Swinnen, J. V. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.07.013 · Cited by 589
Altered metabolism in cancer: insights into energy pathways and therapeutic targets
Tufail, M., Jiang, C.-H., & Li, N. (2024) · Molecular Cancer · doi:10.1186/s12943-024-02119-3 · Cited by 534
STAT proteins in cancer: orchestration of metabolism
Li, Y.-J., Zhang, C., Martincuks, A., Herrmann, A., & Yu, H. (2023) · Nature Reviews Cancer · doi:10.1038/s41568-022-00537-3 · Cited by 282
Metadata
- Authors
- Koundouros, N., & Poulogiannis, G.
- Venue
- British Journal of Cancer
- Published
- 2019-12-10
- Volume
- 122
- Issue
- 1
- Pages
- 4-22
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2992324722
- Cited by
- 1,614
- References
- 225
- FWCI
- 39.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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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