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Hallmarks of glycosylation in cancer
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// Jennifer Munkley 1 and David J. Elliott 1 1 Institute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, NE1 3BZ, UK Correspondence to: Jennifer Munkley, email: // Keywords : cancer, glycosylation, hallmarks, glycans, aberrant Received : January 28, 2016 Accepted : March 02, 2016 Published : March 17, 2016 Abstract Aberrant glycosylation plays a fundamental role in key pathological steps of tumour development and progression. Glycans have roles in cancer cell signalling, tumour cell dissociation and invasion, cell-matrix interactions, angiogenesis, metastasis and immune modulation. Aberrant glycosylation is often cited as a ‘hallmark of cancer’ but is notably absent from both the original hallmarks of cancer and from the next generation of emerging hallmarks. This review discusses how glycosylation is clearly an enabling characteristic that is causally associated with the acquisition of all the hallmark capabilities. Rather than aberrant glycosylation being itself a hallmark of cancer, another perspective is that glycans play a role in every recognised cancer hallmark.
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Silva, M. R. O. B. D., M. da Silva, G., Silva, A. L. F. D., Lima, L. R. A. D., Bezerra, R. P., & Marques, D. D. A. V. (2021) · ACS Chemical Biology · doi:10.1021/acschembio.1c00568 · Cited by 51
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Metadata
- Authors
- Munkley, J., & Elliott, D. J.
- Venue
- Oncotarget
- Publisher
- Impact Journals, LLC
- Published
- 2016-03-17
- Volume
- 7
- Issue
- 23
- Pages
- 35478-35489
- ISSN
- 1949-2553 (ISSN-L)
- OpenAlex
- W2311800161
- Cited by
- 521
- References
- 151
- FWCI
- 17.00
- Type
- journal article
- Language
- en
- Open access
- diamond
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.
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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.