The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Emerging roles of lipid metabolism in cancer metastasis
Open accessAbstract
Cancer cells frequently display fundamentally altered cellular metabolism, which provides the biochemical foundation and directly contributes to tumorigenicity and malignancy. Rewiring of metabolic programmes, such as aerobic glycolysis and increased glutamine metabolism, are crucial for cancer cells to shed from a primary tumor, overcome the nutrient and energy deficit, and eventually survive and form metastases. However, the role of lipid metabolism that confers the aggressive properties of malignant cancers remains obscure. The present review is focused on key enzymes in lipid metabolism associated with metastatic disease pathogenesis. We also address the function of an important membrane structure-lipid raft in mediating tumor aggressive progression. We enumerate and integrate these recent findings into our current understanding of lipid metabolic reprogramming in cancer metastasis accompanied by new and exciting therapeutic implications.
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
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Functional rafts in cell membranes
Simons, K., & Ikonen, E. (1997) · Nature · doi:10.1038/42408 · Cited by 9,757
The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation
DeBerardinis, R. J., Lum, J. J., Hatzivassiliou, G., & Thompson, C. B. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.002 · Cited by 4,088
Srimaroeng, C., Cecile, J. P., Walden, R., & Pritchard, J. B. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350077 · Cited by 2,989
Association of reactive oxygen species levels and radioresistance in cancer stem cells
Diehn, M., Cho, R. W., Lobo, N. A., Kalisky, T., Dorie, M. J., Kulp, A. N., Qian, D., Lam, J. S., Ailles, L. E., Wong, M., et al. (2009) · Nature · doi:10.1038/nature07733 · Cited by 2,555
Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth
Nieman, K. M., Kenny, H. A., Penicka, C. V., Ladanyi, A., Buell-Gutbrod, R., Zillhardt, M. R., Romero, I. L., Carey, M. S., Mills, G. B., Hotamisligil, G. S., et al. (2011) · Nature Medicine · doi:10.1038/nm.2492 · Cited by 2,279
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
Regulation of glutathione synthesis
Lu, S. C. (2009) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2008.05.005 · Cited by 2,116
Metastatic colonization by circulating tumour cells
Massagué, J., & Obenauf, A. C. (2016) · Nature · doi:10.1038/nature17038 · Cited by 2,062
Targeting metastasis-initiating cells through the fatty acid receptor CD36
Pascual, G., Avgustinova, A., Mejetta, S., Martín, M., Castellanos, A., Attolini, C. S.-O., Berenguer, A., Prats, N., Toll, A., Hueto, J. A., et al. (2017) · Nature · doi:10.1038/nature20791 · Cited by 1,437
Cited by
Hypoxic microenvironment in cancer: molecular mechanisms and therapeutic interventions
Chen, Z., Han, F., Du, Y., Shi, H., & Zhou, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01332-8 · Cited by 1,612
Erin, N., Grahovac, J., Brozovic, A., & Efferth, T. (2020) · Drug Resistance Updates · doi:10.1016/j.drup.2020.100715 · Cited by 527
Chen, B., Yu, P., Chan, W. N., Xie, F., Zhang, Y., Liang, L., Leung, K. T., Lo, K. W., Yu, J., Tse, G. M. K., et al. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01679-y · Cited by 420
Liu, W., Chakraborty, B., Safi, R., Kazmin, D., Chang, C.-Y., & McDonnell, D. P. (2021) · Nature Communications · doi:10.1038/s41467-021-25354-4 · Cited by 341
FOXO transcription factor family in cancer and metastasis
Jiramongkol, Y., & Lam, E. W.-F. (2020) · Cancer and Metastasis Reviews · doi:10.1007/s10555-020-09883-w · Cited by 281
Metadata
- Authors
- Luo, X., Cheng, C., Tan, Z., Li, N., Tang, M., Yang, L., & Cao, Y.
- Venue
- Molecular Cancer
- Published
- 2017-04-11
- Volume
- 16
- Issue
- 1
- Pages
- 76-76
- ISSN
- 1476-4598 (ISSN-L)
- OpenAlex
- W2606111706
- Cited by
- 677
- References
- 110
- FWCI
- 13.43
- Type
- journal article
- Language
- en
- Open access
- gold
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: Emerging roles of lipid metabolism in cancer metastasis. https://app.cochat.ai/papers/10.1186/s12943-017-0646-3
- The paper
- Luo, X., Cheng, C., Tan, Z., Li, N., Tang, M., Yang, L., & Cao, Y. (2017). Emerging roles of lipid metabolism in cancer metastasis. Molecular Cancer. https://doi.org/10.1186/s12943-017-0646-3
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.