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Published in: Journal of Neuroinflammation 1/2020

01-12-2020 | Glioblastoma | Research

Immunological classification of gliomas based on immunogenomic profiling

Authors: Qiushi Feng, Lin Li, Mengyuan Li, Xiaosheng Wang

Published in: Journal of Neuroinflammation | Issue 1/2020

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Abstract

Background

Gliomas are heterogeneous in the tumor immune microenvironment (TIM). However, a classification of gliomas based on immunogenomic profiling remains lacking.

Methods

We hierarchically clustered gliomas based on the enrichment levels of 28 immune cells in the TIM in five datasets and obtained three clusters: immunity-high, immunity-medium, and immunity-low.

Results

Glioblastomas were mainly distributed in immunity-high and immunity-medium, while lower-grade gliomas were distributed in all the three subtypes and predominated in immunity-low. Immunity-low displayed a better survival than other subtypes, indicating a negative correlation between immune infiltration and survival prognosis in gliomas. IDH mutations had a negative correlation with glioma immunity. Immunity-high had higher tumor stemness and epithelial-mesenchymal transition scores and included more high-grade tumors than immunity-low, suggesting that elevated immunity is associated with tumor progression in gliomas. Immunity-high had higher tumor mutation burden and more frequent somatic copy number alterations, suggesting a positive association between tumor immunity and genomic instability in gliomas.

Conclusions

The identification of immune-specific glioma subtypes has potential clinical implications for the immunotherapy of gliomas.
Appendix
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Metadata
Title
Immunological classification of gliomas based on immunogenomic profiling
Authors
Qiushi Feng
Lin Li
Mengyuan Li
Xiaosheng Wang
Publication date
01-12-2020
Publisher
BioMed Central
Published in
Journal of Neuroinflammation / Issue 1/2020
Electronic ISSN: 1742-2094
DOI
https://doi.org/10.1186/s12974-020-02030-w

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