The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Dendritic Cell Vaccines for Cancer Immunotherapy
Abstract
Human tumors express a number of protein antigens that can be recognized by T cells, thus providing potential targets for cancer immunotherapy. Dendritic cells (DCs) are rare leukocytes that are uniquely potent in their ability to present antigens to T cells, and this property has prompted their recent application to therapeutic cancer vaccines. Isolated DCs loaded with tumor antigen ex vivo and administered as a cellular vaccine have been found to induce protective and therapeutic anti-tumor immunity in experimental animals. In pilot clinical trials of DC vaccination for patients with non-Hodgkin's lymphoma and melanoma, induction of anti-tumor immune responses and tumor regressions have been observed. Additional trials of DC vaccination for a variety of human cancers are under way, and methods for targeting tumor antigens to DCs in vivo are also being explored. Exploitation of the antigen-presenting properties of DCs thus offers promise for the development of effective cancer immunotherapies.
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Cited by
Dendritic Cells: Immune Regulators in Health and Disease
Lipscomb, M. F., & Masten, B. J. (2002) · Physiological Reviews · doi:10.1152/physrev.00023.2001 · Cited by 465
PI3K-AKT-mTOR inhibition in cancer immunotherapy, redux
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Manipulating dendritic cell biology for the active immunotherapy of cancer
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Current Developments in Cancer Vaccines and Cellular Immunotherapy
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Metadata
- Authors
- Timmerman, M., & Levy, M.
- Venue
- Annual Review of Medicine
- Publisher
- Annual Reviews
- Published
- 1999-02
- Volume
- 50
- Issue
- 1
- Pages
- 507-529
- ISSN
- 0066-4219 (ISSN-L)
- 1545-326X
- OpenAlex
- W2126043466
- Cited by
- 485
- References
- 93
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- closed
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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.