The DOI matches its Crossref record; 449 of the 449 references it cites were found in a registry or an index.
NF‐κB signaling in inflammation and cancer
Open accessAbstract
Since nuclear factor of κ‐light chain of enhancer‐activated B cells (NF‐κB) was discovered in 1986, extraordinary efforts have been made to understand the function and regulating mechanism of NF‐κB for 35 years, which lead to significant progress. Meanwhile, the molecular mechanisms regulating NF‐κB activation have also been illuminated, the cascades of signaling events leading to NF‐κB activity and key components of the NF‐κB pathway are also identified. It has been suggested NF‐κB plays an important role in human diseases, especially inflammation‐related diseases. These studies make the NF‐κB an attractive target for disease treatment. This review aims to summarize the knowledge of the family members of NF‐κB, as well as the basic mechanisms of NF‐κB signaling pathway activation. We will also review the effects of dysregulated NF‐κB on inflammation, tumorigenesis, and tumor microenvironment. The progression of the translational study and drug development targeting NF‐κB for inflammatory diseases and cancer treatment and the potential obstacles will be discussed. Further investigations on the precise functions of NF‐κB in the physiological and pathological settings and underlying mechanisms are in the urgent need to develop drugs targeting NF‐κB for inflammatory diseases and cancer treatment, with minimal side effects.
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2 retracted
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Metadata
- Authors
- Zhang, T., Ma, C., Zhang, Z., Zhang, H., & Hu, H.
- Venue
- MedComm
- Publisher
- Wiley
- Published
- 2021-12
- Volume
- 2
- Issue
- 4
- Pages
- 618-653
- ISSN
- 2688-2663 (ISSN-L)
- OpenAlex
- W4200459954
- Cited by
- 574
- References
- 449
- FWCI
- 20.13
- Type
- journal article
- Language
- en
- Open access
- gold
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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.