AUTHOR=Wang Yulin , Liu Xin , Guan Gefei , Xiao Zhe , Zhao Weijiang , Zhuang Minghua 

TITLE=Identification of a Five-Pseudogene Signature for Predicting Survival and Its ceRNA Network in Glioma

JOURNAL=Frontiers in Oncology

VOLUME=Volume 9 - 2019

YEAR=2019

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2019.01059

DOI=10.3389/fonc.2019.01059

ISSN=2234-943X

ABSTRACT=Background 
Glioma is the most common primary brain tumor with a dismal prognosis. It is urgent to develop novel molecular biomarkers and conform to individualized schemes.
Methods
Differentially expressed pseudogenes between low grade glioma (LGG) and glioblastoma multiforme (GBM) were identified in the training cohort. Least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox proportional hazards regression analyses were used to select pseudogenes associated with prognosis of glioma. A risk signature was constructed based on the selected pseudogenes for predicting the survival of glioma patients. A pseudogene-miRNA-mRNA regulatory network was established and visualized using Cytoscape 3.5.1. Gene Oncology (GO) and signaling pathway analyses were performed on the targeted genes to investigate functional roles of the risk signature. 
Results
Five pseudogenes (ANXA2P2, EEF1A1P9, FER1L4, HILS1 and RAET1K) correlating with glioma survival were selected and used to establish a risk signature. Time‐dependent receiver operating characteristic (ROC) curves and calibration curves revealed that the risk signature could accurately predict the 1, 3 and 5-year survival of glioma patients. GO and signaling pathway analyses showed that the risk signature was involved in regulation of proliferation, migration, angiogenesis and apoptosis in glioma.
Conclusions
In this study, a risk signature with five pseudogenes was constructed and shown to accurately predict 1-, 3- and 5-year survival for glioma patient. The risk signature may serve as a potential target against glioma.