The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Metabolic reprogramming and epithelial‐to‐mesenchymal transition in cancer
Open accessAbstract
Several lines of evidence indicate that during transformation epithelial cancer cells can acquire mesenchymal features via a process called epithelial‐to‐mesenchymal transition (EMT). This process endows cancer cells with increased invasive and migratory capacity, enabling tumour dissemination and metastasis. EMT is associated with a complex metabolic reprogramming, orchestrated by EMT transcription factors, which support the energy requirements of increased motility and growth in harsh environmental conditions. The discovery that mutations in metabolic genes such as FH, SDH and IDH activate EMT provided further evidence that EMT and metabolism are intertwined. In this review, we discuss the role of EMT in cancer and the underpinning metabolic reprogramming. We also put forward the hypothesis that, by altering chromatin structure and function, metabolic pathways engaged by EMT are necessary for its full activation.
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
1 retracted
Li, J., Wang, Y., Li, Q., Xue, J.-J., Wang, Z., Yuan, X., Tong, J., & Xu, L. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167857 · Cited by 40
RetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
The basics of epithelial-mesenchymal transition
Kalluri, R., & Weinberg, R. A. (2009) · Journal of Clinical Investigation · doi:10.1172/jci39104 · Cited by 10,196
The Epithelial-Mesenchymal Transition Generates Cells with Properties of Stem Cells
Mani, S. A., Guo, W., Liao, M.-J., Eaton, E. N., Ayyanan, A., Zhou, A. Y., Brooks, M., Reinhard, F., Zhang, C. C., Shipitsin, M., et al. (2008) · Cell · doi:10.1016/j.cell.2008.03.027 · Cited by 8,672
Molecular mechanisms of epithelial–mesenchymal transition
Lamouille, S., Xu, J., & Derynck, R. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3758 · Cited by 8,091
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926
An Integrated Genomic Analysis of Human Glioblastoma Multiforme
Parsons, D. W., Jones, S., Zhang, X., Lin, J. C.-H., Leary, R. J., Angenendt, P., Mankoo, P., Carter, H., Siu, I.-M., Gallia, G. L., et al. (2008) · Science · doi:10.1126/science.1164382 · Cited by 5,857
IDH1 and IDH2 Mutations in Gliomas
Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., Kos, I., Batinic-Haberle, I., Jones, S., Riggins, G. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808710 · Cited by 5,847
Nieto, M. A., Huang, R. Y.-J., Jackson, R. A., & Thiery, J. P. (2016) · Cell · doi:10.1016/j.cell.2016.06.028 · Cited by 4,492
Gregory, P. A., Bert, A. G., Paterson, E. L., Barry, S. C., Tsykin, A., Farshid, G., Vadas, M. A., Khew-Goodall, Y., & Goodall, G. J. (2008) · Nature Cell Biology · doi:10.1038/ncb1722 · Cited by 3,863
Cited by
Non-redundant functions of EMT transcription factors
Stemmler, M. P., Eccles, R. L., Brabletz, S., & Brabletz, T. (2019) · Nature Cell Biology · doi:10.1038/s41556-018-0196-y · Cited by 524
PKM2, function and expression and regulation
Zhang, Z., Deng, X., Liu, Y., Liu, Y., Sun, L., & Chen, F. (2019) · Cell & Bioscience · doi:10.1186/s13578-019-0317-8 · Cited by 498
Hyaluronan: molecular size‐dependent signaling and biological functions in inflammation and cancer
Tavianatou, A. G., Caon, I., Franchi, M., Piperigkou, Z., Galesso, D., & Karamanos, N. K. (2019) · The FEBS Journal · doi:10.1111/febs.14777 · Cited by 462
PGC-1α as a Pivotal Factor in Lipid and Metabolic Regulation
Cheng, C.-F., Ku, H.-C., & Lin, H. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19113447 · Cited by 437
Targeting Metabolic Plasticity and Flexibility Dynamics for Cancer Therapy
Fendt, S.-M., Frezza, C., & Erez, A. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-0844 · Cited by 313
Self-citation
Metadata
- Authors
- Sciacovelli, M., & Frezza, C.
- Venue
- The FEBS Journal
- Publisher
- Wiley
- Published
- 2017-05-21
- Volume
- 284
- Issue
- 19
- Pages
- 3132-3144
- ISSN
- 1742-464X (ISSN-L)
- 1742-4658
- OpenAlex
- W2609454474
- Cited by
- 329
- References
- 100
- FWCI
- 11.20
- Type
- journal article
- Language
- en
- Open access
- green
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: Metabolic reprogramming and epithelial‐to‐mesenchymal transition in cancer. https://app.cochat.ai/papers/10.1111/febs.14090
- The paper
- Sciacovelli, M., & Frezza, C. (2017). Metabolic reprogramming and epithelial‐to‐mesenchymal transition in cancer. The FEBS Journal. https://doi.org/10.1111/febs.14090
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.
