The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Lipid metabolism in cancer
Open accessAbstract
Lipids form a diverse group of water‐insoluble molecules that include triacylglycerides, phosphoglycerides, sterols and sphingolipids. They play several important roles at cellular and organismal levels. Fatty acids are the major building blocks for the synthesis of triacylglycerides, which are mainly used for energy storage. Phosphoglycerides, together with sterols and sphingolipids, represent the major structural components of biological membranes. Lipids can also have important roles in signalling, functioning as second messengers and as hormones. There is increasing evidence that cancer cells show specific alterations in different aspects of lipid metabolism. These alterations can affect the availability of structural lipids for the synthesis of membranes, the synthesis and degradation of lipids that contribute to energy homeostasis and the abundance of lipids with signalling functions. Changes in lipid metabolism can affect numerous cellular processes, including cell growth, proliferation, differentiation and motility. This review will examine some of the alterations in lipid metabolism that have been reported in cancer, at both cellular and organismal levels, and discuss how they contribute to different aspects of tumourigenesis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
Inflammation and insulin resistance
Shoelson, S. E. (2006) · Journal of Clinical Investigation · doi:10.1172/jci29069 · Cited by 4,769
Activation of vascular endothelial growth factor gene transcription by hypoxia-inducible factor 1
Forsythe, J. A., Jiang, B.-H., Iyer, N. V., Agani, F., Leung, S. W., Koos, R. D., & Semenza, G. L. (1996) · Molecular and Cellular Biology · doi:10.1128/mcb.16.9.4604 · Cited by 3,981
mTOR: from growth signal integration to cancer, diabetes and ageing
Zoncu, R., Efeyan, A., & Sabatini, D. M. (2011) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3025 · Cited by 3,941
Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms
Calle, E. E., & Kaaks, R. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1408 · Cited by 3,613
Oxygen sensing by metazoans: the central role of the HIF hydroxylase pathway.
Kaelin, W. G., & Ratcliffe, P. J. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.04.009 · Cited by 3,251
Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate
Ward, P. S., & Thompson, C. B. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.014 · Cited by 3,233
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
Mechanisms for Insulin Resistance: Common Threads and Missing Links
Samuel, V. T., & Shulman, G. I. (2012) · Cell · doi:10.1016/j.cell.2012.02.017 · Cited by 2,294
Succinate links TCA cycle dysfunction to oncogenesis by inhibiting HIF-α prolyl hydroxylase
Selak, M. A., Armour, S. M., MacKenzie, E. D., Boulahbel, H., Watson, D. G., Mansfield, K. D., Pan, Y., Simon, M. C., Thompson, C. B., & Gottlieb, E. (2005) · Cancer Cell · doi:10.1016/j.ccr.2004.11.022 · Cited by 2,108
Cited by
Cellular Fatty Acid Metabolism and Cancer
Currie, E., Schulze, A., Zechner, R., Walther, T. C., & Farese, R. V. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.05.017 · Cited by 2,123
Self-citationEpidermal Growth Factor Receptor Cell Proliferation Signaling Pathways
Wee, P., & Wang, Z. (2017) · Cancers · doi:10.3390/cancers9050052 · Cited by 2,027
The multifaceted roles of fatty acid synthesis in cancer
Röhrig, F., & Schulze, A. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.89 · Cited by 1,651
Self-citationGlobal survey of cell death mechanisms reveals metabolic regulation of ferroptosis
Shimada, K., Skouta, R., Kaplan, A., Yang, W. S., Hayano, M., Dixon, S. J., Brown, L. M., Valenzuela, C. A., Wolpaw, A. J., & Stockwell, B. R. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2079 · Cited by 1,017
Glial Lipid Droplets and ROS Induced by Mitochondrial Defects Promote Neurodegeneration
Liu, L., Zhang, K., Sandoval, H., Yamamoto, S., Jaiswal, M., Sanz, E., Li, Z., Hui, J., Graham, B. H., Quintana, A., et al. (2015) · Cell · doi:10.1016/j.cell.2014.12.019 · Cited by 876
Metadata
- Authors
- Santos, C. R., & Schulze, A.
- Venue
- The FEBS Journal
- Publisher
- Wiley
- Published
- 2012-07-03
- Volume
- 279
- Issue
- 15
- Pages
- 2610-2623
- ISSN
- 1742-464X (ISSN-L)
- 1742-4658
- OpenAlex
- W1859037964
- Cited by
- 1,335
- References
- 32
- FWCI
- 20.55
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Lipid metabolism in cancer. https://app.cochat.ai/papers/10.1111/j.1742-4658.2012.08644.x
- The paper
- Santos, C. R., & Schulze, A. (2012). Lipid metabolism in cancer. The FEBS Journal. https://doi.org/10.1111/j.1742-4658.2012.08644.x
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.
