The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.
Immunity, inflammation, and cancer: an eternal fight between good and evil
Open accessAbstract
Cancer development and its response to therapy are strongly influenced by innate and adaptive immunity, which either promote or attenuate tumorigenesis and can have opposing effects on therapeutic outcome. Chronic inflammation promotes tumor development, progression, and metastatic dissemination, as well as treatment resistance. However, cancer development and malignant progression are also associated with accumulation of genetic alterations and loss of normal regulatory processes, which cause expression of tumor-specific antigens and tumor-associated antigens (TAAs) that can activate antitumor immune responses. Although signals that trigger acute inflammatory reactions often stimulate dendritic cell maturation and antigen presentation, chronic inflammation can be immunosuppressive. This antagonism between inflammation and immunity also affects the outcome of cancer treatment and needs to be considered when designing new therapeutic approaches.
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Cites
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Inflammation-induced IgA+ cells dismantle anti-liver cancer immunity
Shalapour, S., Lin, X.-J., Bastian, I. N., Brain, J., Burt, A. D., Aksenov, A. A., Vrbanac, A. F., Li, W., Perkins, A., Matsutani, T., et al. (2017) · Nature · doi:10.1038/nature24302 · Cited by 589
Self-citationHMGB1, IL-1α, IL-33 and S100 proteins: dual-function alarmins
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Metadata
- Authors
- Shalapour, S., & Karin, M.
- Venue
- Journal of Clinical Investigation
- Published
- 2015-09-01
- Volume
- 125
- Issue
- 9
- Pages
- 3347-3355
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W1895814318
- Cited by
- 698
- References
- 146
- FWCI
- 26.93
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.