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Cited by 574

The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index.

Cancer Neoantigens

Open access
Schumacher, Ton N., Scheper, Wouter, Kvistborg, Pia·2019·Annual Review of Immunology

Abstract

Malignant transformation of cells depends on accumulation of DNA damage. Over the past years we have learned that the T cell–based immune system frequently responds to the neoantigens that arise as a consequence of this DNA damage. Furthermore, recognition of neoantigens appears an important driver of the clinical activity of both T cell checkpoint blockade and adoptive T cell therapy as cancer immunotherapies. Here we review the evidence for the relevance of cancer neoantigens in tumor control and the biological properties of these antigens. We discuss recent technological advances utilized to identify neoantigens, and the T cells that recognize them, in individual patients. Finally, we discuss strategies that can be employed to exploit cancer neoantigens in clinical interventions.

Overview

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Integrity signals

Registry

Crossref · 10.1146/annurev-immunol-042617-053402

Cites

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Citations

Cites

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Metadata

Authors
Schumacher, T. N., Scheper, W., & Kvistborg, P.
Venue
Annual Review of Immunology
Published
2019-04-26
Volume
37
Issue
1
Pages
173-200
ISSN
  • 0732-0582 (ISSN-L)
  • 1545-3278
OpenAlex
W4254055122
Cited by
574
References
135
FWCI
6.56
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Cancer Neoantigens. https://app.cochat.ai/papers/10.1146/annurev-immunol-042617-053402
The paper
Schumacher, T. N., Scheper, W., & Kvistborg, P. (2019). Cancer Neoantigens. Annual Review of Immunology. https://doi.org/10.1146/annurev-immunol-042617-053402

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.