Oncotarget

Research Papers:

Autophagy-related gene expression is an independent prognostic indicator of glioma

Huixue Zhang, Xiaoyan Lu, Ning Wang, Jianjian Wang, Yuze Cao, Tianfeng Wang, Xueling Zhou, Yang Jiao, Lei Yang, Xiaokun Wang, Lin Cong, Jianlong Li, Jie Li, Heping Ma, Yonghui Pan, Lihua Wang _ and Lihua Wang

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Oncotarget. 2017; 8:60987-61000. https://doi.org/10.18632/oncotarget.17719

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Abstract

Huixue Zhang1,*, Xiaoyan Lu1,*, Ning Wang1,*, Jianjian Wang1, Yuze Cao2,1, Tianfeng Wang1, Xueling Zhou1, Yang Jiao1, Lei Yang1, Xiaokun Wang1, Lin Cong1, Jianlong Li3, Jie Li1, He-Ping Ma4, Yonghui Pan5, Shangwei Ning6 and Lihua Wang1

1Department of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China

2Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China

3Department of Neurosurgery, The Second Affiliated Hospital, Harbin Medical University, Harbin, China

4Department of Physiology, Emory University School of Medicine, Atlanta, GA, USA

5Department of Neurosurgery, The First Affiliated Hospital, Harbin Medical University, Harbin, China

6College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China

*These authors have contributed equally to this work

Correspondence to:

Lihua Wang, email: [email protected]

Shangwei Ning, email: [email protected]

Yonghui Pan, email: [email protected]

Keywords: autophagy, glioma, prognostic signature, survival

Received: November 01, 2016    Accepted: April 17, 2017    Published: May 09, 2017

ABSTRACT

In this study, we identified 74 differentially expressed autophagy-related genes in glioma patients. Analysis using a Cox proportional hazard regression model showed that MAPK8IP1 and SH3GLB1, two autophagy-related genes, were associated with the prognostic signature for glioma. Glioma patients from the CGGA batches 1 and 2, GSE4412 and TCGA datasets could be divided into high- and low-risk groups with different survival times based on levels of MAPK8IP1 and SH3GLB1 expression. The autophagy-related signature was an independent predictor of survival outcomes in glioma patients. MAPK8IP1 overexpression and SH3GLB1 knockdown inhibited glioma cell proliferation, migration and invasion, and improved Temozolomide sensitivity. These findings suggest autophagy-related genes like MAPK8IP1 and SH3GLB1 could be potential therapeutic targets in glioma.


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