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Cited by 438

The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.

The Role of Myeloid-Derived Suppressor Cells (MDSC) in Cancer Progression

Open access
Umansky, Viktor, Blattner, Carolin, Gebhardt, Christoffer, Utikal, Jochen·2016·Vaccines

Abstract

The immunosuppressive tumor microenvironment represents not only one of the key factors stimulating tumor progression but also a strong obstacle for efficient tumor immunotherapy. Immunosuppression was found to be associated with chronic inflammatory mediators including cytokines, chemokines and growth factors produced by cancer and stroma cells. Long-term intensive production of these factors induces the formation of myeloid-derived suppressor cells (MDSCs) representing one of the most important players mediating immunosuppression. Moreover, MDSCs could not only inhibit anti-tumor immune reactions but also directly stimulate tumor growth and metastasis. Therefore, understanding the mechanisms of their generation, expansion, recruitment and activation is required for the development of novel strategies for tumor immunotherapy.

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Crossref · 10.3390/vaccines4040036

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Metadata

Authors
Umansky, V., Blattner, C., Gebhardt, C., & Utikal, J.
Venue
Vaccines
Publisher
MDPI AG
Published
2016-11-03
Volume
4
Issue
4
Pages
36
ISSN
2076-393X (ISSN-L)
OpenAlex
W2546466212
Cited by
438
References
134
FWCI
17.50
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Role of Myeloid-Derived Suppressor Cells (MDSC) in Cancer Progression. https://app.cochat.ai/papers/10.3390/vaccines4040036
The paper
Umansky, V., Blattner, C., Gebhardt, C., & Utikal, J. (2016). The Role of Myeloid-Derived Suppressor Cells (MDSC) in Cancer Progression. Vaccines. https://doi.org/10.3390/vaccines4040036

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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.