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Cited by 274

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

Myeloid derived suppressor cells—An overview of combat strategies to increase immunotherapy efficacy

Open access
Draghiciu, Oana, Lubbers, Joyce, Nijman, Hans W, Daemen, Toos·2015·OncoImmunology

Abstract

Myeloid-derived suppressor cells (MDSCs) contribute to tumor-mediated immune escape and negatively correlate with overall survival of cancer patients. Nowadays, a variety of methods to target MDSCs are being investigated. Based on the intervention stage of MDSCs, namely development, expansion and activation, function and turnover, these methods can be divided into: (I) prevention or differentiation to mature cells, (II) blockade of MDSC expansion and activation, (III) inhibition of MDSC suppressive activity or (IV) depletion of intratumoral MDSCs. This review describes effective mono- or multimodal-therapies that target MDSCs for the benefit of cancer treatment.

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Crossref · 10.4161/21624011.2014.954829

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Metadata

Authors
Draghiciu, O., Lubbers, J., Nijman, H. W., & Daemen, T.
Venue
OncoImmunology
Published
2015-01-02
Volume
4
Issue
1
Pages
e954829
ISSN
  • 2162-4011 (ISSN-L)
  • 2162-402X
OpenAlex
W2051355795
Cited by
274
References
79
FWCI
9.21
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Myeloid derived suppressor cells—An overview of combat strategies to increase immunotherapy efficacy. https://app.cochat.ai/papers/10.4161/21624011.2014.954829
The paper
Draghiciu, O., Lubbers, J., Nijman, H. W., & Daemen, T. (2015). Myeloid derived suppressor cells—An overview of combat strategies to increase immunotherapy efficacy. OncoImmunology. https://doi.org/10.4161/21624011.2014.954829

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.