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Cited by 3,072

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

The Three Es of Cancer Immunoediting

Dunn, Gavin P., Old, Lloyd J., Schreiber, Robert D.·2004·Annual Review of Immunology

Abstract

After a century of controversy, the notion that the immune system regulates cancer development is experiencing a new resurgence. An overwhelming amount of data from animal models—together with compelling data from human patients—indicate that a functional cancer immunosurveillance process indeed exists that acts as an extrinsic tumor suppressor. However, it has also become clear that the immune system can facilitate tumor progression, at least in part, by sculpting the immunogenic phenotype of tumors as they develop. The recognition that immunity plays a dual role in the complex interactions between tumors and the host prompted a refinement of the cancer immunosurveillance hypothesis into one termed “cancer immunoediting.” In this review, we summarize the history of the cancer immunosurveillance controversy and discuss its resolution and evolution into the three Es of cancer immunoediting—elimination, equilibrium, and escape.

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Crossref · 10.1146/annurev.immunol.22.012703.104803

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Metadata

Authors
Dunn, G. P., Old, L. J., & Schreiber, R. D.
Venue
Annual Review of Immunology
Published
2004-04-01
Volume
22
Issue
1
Pages
329-360
ISSN
  • 0732-0582 (ISSN-L)
  • 1545-3278
OpenAlex
W2121626779
Cited by
3,072
References
9
FWCI
4.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Three Es of Cancer Immunoediting. https://app.cochat.ai/papers/10.1146/annurev.immunol.22.012703.104803
The paper
Dunn, G. P., Old, L. J., & Schreiber, R. D. (2004). The Three Es of Cancer Immunoediting. Annual Review of Immunology. https://doi.org/10.1146/annurev.immunol.22.012703.104803

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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.