Literature DB >> 25618892

Regulatory T cells are not a strong predictor of survival for patients with glioblastoma.

Alissa A Thomas1, Jan L Fisher1, Gilbert J Rahme1, Thomas H Hampton1, Udo Baron1, Sven Olek1, Tim Schwachula1, C Harker Rhodes1, Jiang Gui1, Laura J Tafe1, Gregory J Tsongalis1, Joel A Lefferts1, Heather Wishart1, Jonathan Kleen1, Michael Miller1, Chery A Whipple1, Francine B de Abreu1, Marc S Ernstoff1, Camilo E Fadul1.   

Abstract

BACKGROUND: Regulatory T cells (Tregs) are potentially prognostic indicators in patients with glioblastoma. If differences in frequency of Tregs in tumor or blood account for substantial variation in patient survival, then reliably measuring Tregs may enhance treatment selection and improve outcomes.
METHODS: We measured Tregs and CD3+ T cells in tumors and blood from 25 patients with newly diagnosed glioblastoma. Tumor-infiltrating Tregs and CD3+ T cells, measured by quantitative DNA demethylation analysis (epigenetic qPCR) and by immunohistochemistry, and peripheral blood Treg proportions measured by flow cytometry were correlated with patient survival. Additionally, we analyzed data from The Cancer Genome Atlas (TCGA) to correlate the expression of Treg markers with patient survival and glioblastoma subtypes.
RESULTS: Tregs, as measured in tumor tissue and peripheral blood, did not correlate with patient survival. Although there was a correlation between tumor-infiltrating Tregs expression by epigenetic qPCR and immunohistochemistry, epigenetic qPCR was more sensitive and specific. Using data from TCGA, mRNA expression of Forkhead box protein 3 (FoxP3) and Helios and FoxP3 methylation level did not predict survival. While the classical glioblastoma subtype corresponded to lower expression of Treg markers, these markers did not predict survival in any of the glioblastoma subtypes.
CONCLUSIONS: Although immunosuppression is a hallmark of glioblastoma, Tregs as measured in tissue by gene expression, immunohistochemistry, or demethylation and Tregs in peripheral blood measured by flow cytometry do not predict survival of patients. Quantitative DNA demethylation analysis provides an objective, sensitive, and specific way of identifying Tregs and CD3+ T cells in glioblastoma.
© The Author(s) 2015. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Tregs; epigenetic qPCR; glioblastoma; immunotherapy; regulatory T cell

Mesh:

Substances:

Year:  2015        PMID: 25618892      PMCID: PMC4483125          DOI: 10.1093/neuonc/nou363

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  33 in total

1.  An increase in CD4+CD25+FOXP3+ regulatory T cells in tumor-infiltrating lymphocytes of human glioblastoma multiforme.

Authors:  Abdeljabar El Andaloussi; Maciej S Lesniak
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2.  Mechanisms of malignant glioma immune resistance and sources of immunosuppression.

Authors:  German G Gomez; Carol A Kruse
Journal:  Gene Ther Mol Biol       Date:  2006

3.  Immunosuppression in patients with high-grade gliomas treated with radiation and temozolomide.

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4.  Epigenetic quantification of tumor-infiltrating T-lymphocytes.

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Journal:  Epigenetics       Date:  2011-02-01       Impact factor: 4.528

5.  Lymphocytic infiltrates in primary glioblastomas and recidivous gliomas. Incidence, fate, and relevance to prognosis in 228 operated cases.

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6.  Epigenetic biomarkers of T-cells in human glioma.

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Journal:  Epigenetics       Date:  2012-10-29       Impact factor: 4.528

7.  DNA demethylation in the human FOXP3 locus discriminates regulatory T cells from activated FOXP3(+) conventional T cells.

Authors:  Udo Baron; Stefan Floess; Georg Wieczorek; Katrin Baumann; Andreas Grützkau; Jun Dong; Andreas Thiel; Tina J Boeld; Petra Hoffmann; Matthias Edinger; Ivana Türbachova; Alf Hamann; Sven Olek; Jochen Huehn
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8.  Forkhead box P3 regulatory T cells coexisting with cancer associated fibroblasts are correlated with a poor outcome in lung adenocarcinoma.

Authors:  Tomonari Kinoshita; Genichiro Ishii; Nobuyoshi Hiraoka; Shunki Hirayama; Chisako Yamauchi; Keiju Aokage; Tomoyuki Hishida; Junji Yoshida; Kanji Nagai; Atsushi Ochiai
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9.  Targeting Tregs in Malignant Brain Cancer: Overcoming IDO.

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10.  The prognostic value of Foxp3+ tumor-infiltrating lymphocytes in patients with glioblastoma.

Authors:  Qi Yue; Xin Zhang; Hong-Xing Ye; Yin Wang; Zun-Guo Du; Yu Yao; Ying Mao
Journal:  J Neurooncol       Date:  2013-11-26       Impact factor: 4.130

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  18 in total

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Authors:  Guido H Jajamovich; Chandni R Valiathan; Razvan Cristescu; Sangeetha Somayajula
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2.  Anti-GITR therapy promotes immunity against malignant glioma in a murine model.

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Journal:  Cancer Immunol Immunother       Date:  2016-10-12       Impact factor: 6.968

3.  Inhibition of protein phosphatase-2A with LB-100 enhances antitumor immunity against glioblastoma.

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Review 4.  Temozolomide for immunomodulation in the treatment of glioblastoma.

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5.  Immune classifications with cytotoxic CD8+ and Th17 infiltrates are predictors of clinical prognosis in glioblastoma.

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Journal:  Oncoimmunology       Date:  2017-04-28       Impact factor: 8.110

6.  CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells.

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Review 7.  Immunotherapy of Glioblastoma: Current Strategies and Challenges in Tumor Model Development.

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8.  Preoperative inflammation markers and IDH mutation status predict glioblastoma patient survival.

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9.  CD4+ and Perivascular Foxp3+ T Cells in Glioma Correlate with Angiogenesis and Tumor Progression.

Authors:  Luyan Mu; Changlin Yang; Qiang Gao; Yu Long; Haitao Ge; Gabriel DeLeon; Linchun Jin; Yifan Emily Chang; Elias J Sayour; Jingjing Ji; Jie Jiang; Paul S Kubilis; Jiping Qi; Yunhe Gu; Jiabin Wang; Yuwen Song; Duane A Mitchell; Zhiguo Lin; Jianping Huang
Journal:  Front Immunol       Date:  2017-11-07       Impact factor: 7.561

Review 10.  Immunosuppressive Mechanisms of Malignant Gliomas: Parallels at Non-CNS Sites.

Authors:  Powell Perng; Michael Lim
Journal:  Front Oncol       Date:  2015-07-06       Impact factor: 6.244

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