The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
The Role of Neoantigens in Naturally Occurring and Therapeutically Induced Immune Responses to Cancer
Open accessAbstract
Definitive experimental evidence from mouse cancer models and strong correlative clinical data gave rise to the Cancer Immunoediting concept that explains the dual host-protective and tumor-promoting actions of immunity on developing cancers. Tumor-specific neoantigens can serve as targets of spontaneously arising adaptive immunity to cancer and thereby determine the ultimate fate of developing tumors. Tumor-specific neoantigens can also function as optimal targets of cancer immunotherapy against established tumors. These antigens are derived from nonsynonymous mutations that occur during cellular transformation and, because they are foreign to the host genome, are not subject to central tolerance. In this review, we summarize the experimental evidence indicating that cancer neoantigens are the source of both spontaneously occurring and therapeutically induced immune responses against cancer. We also review the advances in genomics, bioinformatics, and cancer immunotherapy that have facilitated identification of neoantigens and have moved personalized cancer immunotherapies into clinical trials, with the promise of providing more specific, safer, more effective, and perhaps even more generalizable treatments to cancer patients than current immunotherapies.
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Cites
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Cited by
Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
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Improved Efficacy of Neoadjuvant Compared to Adjuvant Immunotherapy to Eradicate Metastatic Disease
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Metadata
- Authors
- Ward, J. P., Gubin, M. M., & Schreiber, R. D.
- Venue
- Advances in Immunology
- Publisher
- Elsevier
- Published
- 2016
- Volume
- 130
- Pages
- 25-74
- ISSN
- 0065-2776 (ISSN-L)
- OpenAlex
- W2290266703
- Cited by
- 228
- References
- 37
- FWCI
- 51.04
- Type
- book chapter
- Language
- en
- Open access
- green
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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.