The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Dendritic Cells in Cancer Immunotherapy
Abstract
The potential to harness the potency and specificity of the immune system underlies the growing interest in cancer immunotherapy. One such approach uses bone marrow–derived dendritic cells, phenotypically distinct and extremely potent antigen-presenting cells, to present tumor-associated antigens and thereby generate tumor-specific immunity. Support for this strategy comes from animal studies that have demonstrated that dendritic cells, when loaded ex vivo with tumor antigens and administered to tumor-bearing hosts, can elicit T cell–mediated tumor destruction. These observations have led to clinical trials designed to investigate the immunologic and clinical effects of antigen-loaded dendritic cells administered as a therapeutic vaccine to patients with cancer. In the design and conduct of such trials, important considerations include antigen selection, methods for introducing the antigen into MHC class I and II processing pathways, methods for isolating and activating dendritic cells, and route of administration. Although current dendritic cell–based vaccination methods are cumbersome, promising results from clinical trials in patients with malignant lymphoma, melanoma, and prostate cancer suggest that immunotherapeutic strategies that take advantage of the antigen presenting properties of dendritic cells may ultimately prove both efficacious and widely applicable to human tumors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vaccination of melanoma patients with peptide- or tumorlysate-pulsed dendritic cells
Nestle, F. O., Alijagic, S., Gilliet, M., Sun, Y., Grabbe, S., Dummer, R., Burg, G., & Schadendorf, D. (1998) · Nature Medicine · doi:10.1038/nm0398-328 · Cited by 2,862
T-cell help for cytotoxic T lymphocytes is mediated by CD40–CD40L interactions
Schoenberger, S. P., Toes, R. E. M., van der Voort, E. I. H., Offringa, R., & Melief, C. J. M. (1998) · Nature · doi:10.1038/31002 · Cited by 2,615
The Nature of the Principal Type 1 Interferon-Producing Cells in Human Blood
Siegal, F. P., Kadowaki, N., Shodell, M., Fitzgerald-Bocarsly, P. A., Shah, K., Ho, S., Antonenko, S., & Liu, Y.-J. (1999) · Science · doi:10.1126/science.284.5421.1835 · Cited by 2,293
Vaccination of patients with B–cell lymphoma using autologous antigen–pulsed dendritic cells
Hsu, F. J., Benike, C., Fagnoni, F., Liles, T. M., Czerwinski, D., Taidi, B., Engleman, E. G., & Levy, R. (1996) · Nature Medicine · doi:10.1038/nm0196-52 · Cited by 1,804
Self-citationWu, L., Li, C. L., & Shortman, K. (1996) · The Journal of experimental medicine · doi:10.1084/jem.184.3.903 · Cited by 400
Cited by
Dendritic cells as therapeutic vaccines against cancer
Banchereau, J., & Palucka, A. K. (2005) · Nature Reviews Immunology · doi:10.1038/nri1592 · Cited by 1,204
Prospects for cationic polymers in gene and oligonucleotide therapy against cancer
Merdan, T., Kopec̆ek, J., & Kissel, T. (2002) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(02)00046-7 · Cited by 785
Engering, A., Geijtenbeek, T. B. H., van Vliet, S. J., Wijers, M., van Liempt, E., Demaurex, N., Lanzavecchia, A., Fransen, J., Figdor, C. G., Piguet, V., et al. (2002) · The Journal of Immunology · doi:10.4049/jimmunol.168.5.2118 · Cited by 630
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
Ishikawa, A., Motohashi, S., Ishikawa, E., Fuchida, H., Higashino, K., Otsuji, M., Iizasa, T., Nakayama, T., Taniguchi, M., & Fujisawa, T. (2005) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-04-1453 · Cited by 403
Metadata
- Authors
- Fong, L., & Engleman, E. G.
- Venue
- Annual Review of Immunology
- Publisher
- Annual Reviews
- Published
- 2000-04
- Volume
- 18
- Issue
- 1
- Pages
- 245-273
- ISSN
- 0732-0582 (ISSN-L)
- 1545-3278
- OpenAlex
- W2152627678
- Cited by
- 680
- References
- 5
- FWCI
- 3.51
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Dendritic Cells in Cancer Immunotherapy. https://app.cochat.ai/papers/10.1146/annurev.immunol.18.1.245
- The paper
- Fong, L., & Engleman, E. G. (2000). Dendritic Cells in Cancer Immunotherapy. Annual Review of Immunology. https://doi.org/10.1146/annurev.immunol.18.1.245
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.