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Cited by 511

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Cancer and Inflammation: An Old Intuition with Rapidly Evolving New Concepts

Trinchieri, Giorgio·2012·Annual Review of Immunology

Abstract

Recent scientific advances have contributed much to the dissection of the complex molecular and cellular pathways involved in the connection between cancer and inflammation. The evidence for this connection in humans is based on the association between infection or chronic sterile inflammation and cancer. The decreased incidence of tumors in individuals who have used nonsteroidal anti-inflammatory drugs is supportive of a role for inflammation in cancer susceptibility. The increased incidence of tumors in overweight patients points to a role for adipose tissue inflammation and energy metabolism in cancer. Energy metabolism, obesity, and genetic instability are regulated in part by the relationship of the organism with commensal bacteria that affect inflammation with both local and systemic effects. Different aspects of inflammation appear to regulate all phases of malignant disease, including susceptibility, initiation, progression, dissemination, morbidity, and mortality.

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Crossref · 10.1146/annurev-immunol-020711-075008

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Metadata

Authors
Trinchieri, G.
Venue
Annual Review of Immunology
Published
2012-04-23
Volume
30
Issue
1
Pages
677-706
ISSN
  • 0732-0582 (ISSN-L)
  • 1545-3278
OpenAlex
W2099951919
Cited by
511
References
45
FWCI
2.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cancer and Inflammation: An Old Intuition with Rapidly Evolving New Concepts. https://app.cochat.ai/papers/10.1146/annurev-immunol-020711-075008
The paper
Trinchieri, G. (2012). Cancer and Inflammation: An Old Intuition with Rapidly Evolving New Concepts. Annual Review of Immunology. https://doi.org/10.1146/annurev-immunol-020711-075008

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.