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Global immune fingerprinting in glioblastoma patient peripheral blood reveals immune-suppression signatures associated with prognosis
Tyler J. Alban, … , Michael A. Vogelbaum, Justin D. Lathia
Tyler J. Alban, … , Michael A. Vogelbaum, Justin D. Lathia
Published November 2, 2018
Citation Information: JCI Insight. 2018;3(21):e122264. https://doi.org/10.1172/jci.insight.122264.
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Research Article Immunology Oncology

Global immune fingerprinting in glioblastoma patient peripheral blood reveals immune-suppression signatures associated with prognosis

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Abstract

Glioblastoma (GBM) remains uniformly lethal, and despite a large accumulation of immune cells in the microenvironment, there is limited antitumor immune response. To overcome these challenges, a comprehensive understanding of GBM systemic immune response during disease progression is required. Here, we integrated multiparameter flow cytometry and mass cytometry TOF (CyTOF) analysis of patient blood to determine changes in the immune system among tumor types and over disease progression. Utilizing flow cytometry analysis in a cohort of 259 patients ranging from benign to malignant primary and metastatic brain tumors, we found that GBM patients had a significant elevation in myeloid-derived suppressor cells (MDSCs) in peripheral blood but not immunosuppressive Tregs. In GBM patient tissue, we found that increased MDSC levels in recurrent GBM portended poor prognosis. CyTOF analysis of peripheral blood from newly diagnosed GBM patients revealed that reduced MDSCs over time were accompanied by a concomitant increase in DCs. GBM patients with extended survival also had reduced MDSCs, similar to the levels of low-grade glioma (LGG) patients. Our findings provide a rationale for developing strategies to target MDSCs, which are elevated in GBM patients and predict poor prognosis.

Authors

Tyler J. Alban, Alvaro G. Alvarado, Mia D. Sorensen, Defne Bayik, Josephine Volovetz, Emily Serbinowski, Erin E. Mulkearns-Hubert, Maksim Sinyuk, James S. Hale, Giovana R. Onzi, Mary McGraw, Pengjing Huang, Matthew M. Grabowski, Connor A. Wathen, Manmeet S. Ahluwalia, Tomas Radivoyevitch, Harley I. Kornblum, Bjarne W. Kristensen, Michael A. Vogelbaum, Justin D. Lathia

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Figure 3

CyTOF identifies immune cell populations that are significantly altered during disease progression.

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CyTOF identifies immune cell populations that are significantly altered ...
Using 12 immune cell populations that were identified in an unbiased manner from baseline (green), time point 1 (blue), and time point 2 (red) samples for n = 6 newly diagnosed GBM patients were examined via 2-tailed Student’s t test to compare baseline to time points 1 and 2. Each patient is indicated by the symbol identified in the key to the right. Statistics were determined by comparing baseline to each time point using linear models of the data with 2-tailed t test comparisons and Benjamini-Hochberg to adjust to control for multiple comparisons. *P < 0.05, ** P < 0.001, ***P < 0.0001. Graphs represent data sets as median with first and third quartiles.

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