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IL-10 Immunomodulation of Myeloid Cells Regulates a Murine Model of Ovarian Cancer

Overview of attention for article published in Frontiers in immunology, January 2011
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Title
IL-10 Immunomodulation of Myeloid Cells Regulates a Murine Model of Ovarian Cancer
Published in
Frontiers in immunology, January 2011
DOI 10.3389/fimmu.2011.00029
Pubmed ID
Authors

Kevin M. Hart, Katelyn T. Byrne, Michael J. Molloy, Edward M. Usherwood, Brent Berwin

Abstract

Elevated levels of IL-10 in the microenvironment of human ovarian cancer and murine models of ovarian cancer are well established and correlate with poor clinical prognosis. However, amongst a myriad of immunosuppressive factors, the actual contribution of IL-10 to the ovarian tumor microenvironment, the mechanisms by which it acts, and its possible functional redundancy are unknown. We previously demonstrated that elimination of the myeloid-derived suppressor cell (MDSC) compartment within the ovarian tumor ascites inhibited tumor progression and, intriguingly, significantly decreased local IL-10 levels. Here we identify a novel pathway in which the tumor-infiltrating MDSC are the predominant producers of IL-10 and, importantly, require it to develop their immunosuppressive function in vivo. Importantly, we demonstrate that the role of IL-10 is critical, and not redundant with other immunosuppressive molecules, to in vivo tumor progression: blockade of the IL-10 signaling network results in alleviation of MDSC-mediated immunosuppression, altered T cell phenotype and activity, and improved survival. These studies define IL-10 as a fundamental modulator of both MDSC and T cells within the ovarian tumor microenvironment. Importantly, IL-10 signaling is shown to be necessary to the development and maintenance of a permissive tumor microenvironment and represents a viable target for anti-tumor strategies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 28%
Researcher 9 11%
Student > Bachelor 9 11%
Student > Master 6 7%
Student > Doctoral Student 4 5%
Other 13 16%
Unknown 19 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 19%
Biochemistry, Genetics and Molecular Biology 16 19%
Medicine and Dentistry 9 11%
Immunology and Microbiology 9 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 4 5%
Unknown 26 31%