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Published in: BMC Neurology 1/2020

01-12-2020 | Glioblastoma | Research article

HLA-E expression in diffuse glioma: relationship with clinicopathological features and patient survival

Authors: Zhifeng Wu, Jingshan Liang, Zheng Wang, Aimin Li, Xing Fan, Tao Jiang

Published in: BMC Neurology | Issue 1/2020

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Abstract

Background

Human leukocyte antigen-E (HLA-E) has been extensively investigated in various human cancers including glioma. However, the clinical significance of HLA-E expression in glioma patients has not been elucidated. The current study aimed to investigate the association of HLA-E expression with clinicopathological features and survival in patients with diffuse glioma.

Methods

A total of 261 glioma patients were enrolled, subsequently, mRNA microarray analysis was conducted to identify the relationship of HLA-E with clinicopathological features and patient survival.

Results

HLA-E was significantly overexpressed in high-grade gliomas compared to low-grade gliomas (LGGs). Moreover, HLA-E expression was significantly higher in diffuse astrocytomas than oligodendrogliomas (p = 0.032, t-test). Kaplan-Meier analysis showed that progression-free survival (PFS) and overall survival (OS) were significantly better in LGG patients with low HLA-E expression (p = 0.018 for PFS and p = 0.020 for OS, Log-rank test). Furthermore, HLA-E expression was identified to be an independent prognostic factor by Cox analysis (p = 0.020 for PFS and p = 0.024 for OS).

Conclusions

This is the first study which identified the clinical significance of HLA-E in diffuse glioma. HLA-E expression was correlated with more aggressive tumor grade and histological type and was identified as an independent prognostic biomarker in LGG patients.
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Metadata
Title
HLA-E expression in diffuse glioma: relationship with clinicopathological features and patient survival
Authors
Zhifeng Wu
Jingshan Liang
Zheng Wang
Aimin Li
Xing Fan
Tao Jiang
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Neurology / Issue 1/2020
Electronic ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-020-01640-4

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