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Profiling of patients with glioma reveals the dominant immunosuppressive axis is refractory to immune function restoration
Martina Ott, … , Michael A. Curran, Amy B. Heimberger
Martina Ott, … , Michael A. Curran, Amy B. Heimberger
Published July 28, 2020
Citation Information: JCI Insight. 2020;5(17):e134386. https://doi.org/10.1172/jci.insight.134386.
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Research Article Immunology Oncology

Profiling of patients with glioma reveals the dominant immunosuppressive axis is refractory to immune function restoration

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Abstract

In order to prioritize available immune therapeutics, immune profiling across glioma grades was conducted, followed by preclinical determinations of therapeutic effect in immune-competent mice harboring gliomas. T cells and myeloid cells were isolated from the blood of healthy donors and the blood and tumors from patients with glioma and profiled for the expression of immunomodulatory targets with an available therapeutic. Murine glioma models were used to assess therapeutic efficacy of agents targeting the most frequently expressed immune targets. In patients with glioma, the A2aR/CD73/CD39 pathway was most frequently expressed, followed by the PD-1 pathway. CD73 expression was upregulated on immune cells by 2-hydroxyglutarate in IDH1 mutant glioma patients. In murine glioma models, adenosine receptor inhibitors demonstrated a modest therapeutic response; however, the addition of other inhibitors of the adenosine pathway did not further enhance this therapeutic effect. Although adenosine receptor inhibitors could recover immunological effector functions in T cells, immune recovery was impaired in the presence of gliomas, indicating that irreversible immune exhaustion limits the effectiveness of adenosine pathway inhibitors in patients with glioma. This study illustrates vetting steps that should be considered before clinical trial implementation for immunotherapy-resistant cancers, including testing an agent’s ability to restore immunological function in the context of intended use.

Authors

Martina Ott, Karl-Heinz Tomaszowski, Anantha Marisetty, Ling-Yuan Kong, Jun Wei, Maya Duna, Katia Blumberg, Xiaorong Ji, Carmen Jacobs, Gregory N. Fuller, Lauren A. Langford, Jason T. Huse, James P. Long, Jian Hu, Shulin Li, Jeffrey S. Weinberg, Sujit S. Prabhu, Raymond Sawaya, Sherise Ferguson, Ganesh Rao, Frederick F. Lang, Michael A. Curran, Amy B. Heimberger

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Figure 3

Heatmaps demonstrating the mean fluorescent intensity of immune markers expressed on CD11b+ myeloid cells in patients with glioma.

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Heatmaps demonstrating the mean fluorescent intensity of immune markers ...
Flow cytometry was conducted for each immune marker relative to its associated isotype control, as described in Supplemental Figure 1. The mean fluorescent intensity (MFI) was then converted to a heatmap. Data are shown for CD11b+ GIMs (A) and PBMCs (B). Each row represents the analysis of a single patient. These are not matched rows, because, in some instances, the tumor or the peripheral blood was not available for the same patient.

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