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Cited by 348

The DOI matches its Crossref record; 197 of the 197 references it cites were found in a registry or an index.

Insights into the role of sialylation in cancer progression and metastasis

Open access
Dobie, Christopher, Skropeta, Danielle·2021·British Journal of Cancer

Abstract

Upregulation of sialyltransferases—the enzymes responsible for the addition of sialic acid to growing glycoconjugate chains—and the resultant hypersialylation of up to 40–60% of tumour cell surfaces are established hallmarks of several cancers, including lung, breast, ovarian, pancreatic and prostate cancer. Hypersialylation promotes tumour metastasis by several routes, including enhancing immune evasion and tumour cell survival, and stimulating tumour invasion and migration. The critical role of enzymes that regulate sialic acid in tumour cell growth and metastasis points towards targeting sialylation as a potential new anti-metastatic cancer treatment strategy. Herein, we explore insights into the mechanisms by which hypersialylation plays a role in promoting metastasis, and explore the current state of sialyltransferase inhibitor development.

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Crossref · 10.1038/s41416-020-01126-7

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Metadata

Authors
Dobie, C., & Skropeta, D.
Venue
British Journal of Cancer
Published
2020-11-04
Volume
124
Issue
1
Pages
76-90
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W3095605773
Cited by
348
References
197
FWCI
9.06
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Insights into the role of sialylation in cancer progression and metastasis. https://app.cochat.ai/papers/10.1038/s41416-020-01126-7
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Dobie, C., & Skropeta, D. (2021). Insights into the role of sialylation in cancer progression and metastasis. British Journal of Cancer. https://doi.org/10.1038/s41416-020-01126-7

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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.