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Cited by 698

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 access
Shalapour, Shabnam, Karin, Michael·2015·Journal of Clinical Investigation

Abstract

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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Crossref · 10.1172/jci80007

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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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CoChat. (2026). Citation check: Immunity, inflammation, and cancer: an eternal fight between good and evil. https://app.cochat.ai/papers/10.1172/jci80007
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Shalapour, S., & Karin, M. (2015). Immunity, inflammation, and cancer: an eternal fight between good and evil. Journal of Clinical Investigation. https://doi.org/10.1172/jci80007

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.