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Cited by 392

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Human Dendritic Cells: Their Heterogeneity and Clinical Application Potential in Cancer Immunotherapy

Open access
Patente, Thiago A., Pinho, Mariana P., Oliveira, Aline A., Evangelista, Gabriela C. M., Bergami-Santos, Patrícia C., Barbuto, José A. M.·2019·Frontiers in Immunology

Abstract

Dendritic cells (DC) are professional antigen presenting cells, uniquely able to induce naïve T cell activation and effector differentiation. They are, likewise, involved in the induction and maintenance of immune tolerance in homeostatic conditions. Their phenotypic and functional heterogeneity points to their great plasticity and ability to modulate, according to their microenvironment, the acquired immune response and, at the same time, makes their precise classification complex and frequently subject to reviews and improvement. This review will present general aspects of the DC physiology and classification and will address their potential and actual uses in the management of human disease, more specifically cancer, as therapeutic and monitoring tools. New combination treatments with the participation of DC will be also discussed.

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Metadata

Authors
Patente, T. A., Pinho, M. P., Oliveira, A. A., Evangelista, G. C. M., Bergami-Santos, P. C., & Barbuto, J. A. M.
Venue
Frontiers in Immunology
Published
2019-01-21
Volume
9
Pages
3176-3176
ISSN
1664-3224 (ISSN-L)
OpenAlex
W2913970879
Cited by
392
References
20
FWCI
14.10
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Human Dendritic Cells: Their Heterogeneity and Clinical Application Potential in Cancer Immunotherapy. https://app.cochat.ai/papers/10.3389/fimmu.2018.03176
The paper
Patente, T. A., Pinho, M. P., Oliveira, A. A., Evangelista, G. C. M., Bergami-Santos, P. C., & Barbuto, J. A. M. (2019). Human Dendritic Cells: Their Heterogeneity and Clinical Application Potential in Cancer Immunotherapy. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2018.03176

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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.