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Cited by 719

The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.

Arginine regulation by myeloid derived suppressor cells and tolerance in cancer: mechanisms and therapeutic perspectives

Open access
Rodríguez, Paulo C., Ochoa, Augusto C.·2008·Immunological Reviews

Abstract

Summary: Patients with cancer have an impaired T‐cell response that can decrease the potential therapeutic benefit of cancer vaccines and other forms of immunotherapy. l‐arginine (l‐Arg) is a conditionally essential amino acid that is fundamental for the function of T lymphocytes. Recent findings in tumor‐bearing mice and cancer patients indicate that increased metabolism of l‐Arg by myeloid derived suppressor cells (MDSCs) producing arginase I inhibits T‐lymphocyte responses. Here we discuss some of the most recent concepts how MDSC expressing arginase I may regulate T‐cell function in cancer and other chronic inflammatory diseases and suggest possible therapeutic interventions to overcome this inhibitory effect.

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Crossref · 10.1111/j.1600-065x.2008.00608.x

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Metadata

Authors
Rodríguez, P. C., & Ochoa, A. C.
Venue
Immunological Reviews
Publisher
Wiley
Published
2008-03-19
Volume
222
Issue
1
Pages
180-191
ISSN
  • 0105-2896 (ISSN-L)
  • 1600-065X
OpenAlex
W2077508806
Cited by
719
References
119
FWCI
1.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Arginine regulation by myeloid derived suppressor cells and tolerance in cancer: mechanisms and therapeutic perspectives. https://app.cochat.ai/papers/10.1111/j.1600-065x.2008.00608.x
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Rodríguez, P. C., & Ochoa, A. C. (2008). Arginine regulation by myeloid derived suppressor cells and tolerance in cancer: mechanisms and therapeutic perspectives. Immunological Reviews. https://doi.org/10.1111/j.1600-065x.2008.00608.x

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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.