Identification of a gene signature associated with radiotherapy and prognosis in gliomas

Abstract

// Shu Li 1, 2, * , Juanhong Shi 3, * , Hongliang Gao 1, 2, * , Yan Yuan 2, * , Qi Chen 4 , Zhenyu Zhao 2 , Xiaoqiang Wang 2 , Bin Li 2 , LinZhao Ming 2 , Jun Zhong 2 , Ping Zhou 2 , Hua He 5 , Bangbao Tao 2 and Shiting Li 2 1 Department of Pathophysiology, Wannan Medical College, Wuhu 241002, China 2 Department of Neurosurgery, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200092, China 3 Department of Pathology Neurosurgery, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200092, China 4 Department of Anesthesiology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200092, China 5 Department of Neurosurgery, Changzheng Hospital, The Second Hospital Affiliated with The Second Military Medical University, Shanghai 200092, China * These authors have contributed equally to this work Correspondence to: Hua He, email: panda1979hh@sina.com Bangbao Tao, email: tbb2003093@aliyun.com Shiting Li, email: lishitingxhyy@sina.com Keywords: glioma, prognosis, gene signature Received: March 29, 2017      Accepted: August 06, 2017      Published: October 06, 2017 ABSTRACT Glioma is one of the most common primary brain tumors with poor prognosis. Although radiotherapy is an important treatment method for gliomas, the efficacy is still limited by the high occurrence of radioresistance and the underlying molecular mechanism is unclear. Here, we performed a data mining work based on four glioma expression datasets. These datasets were classified into training set and validation set.Radiotherapy-induced differential expressed genes and prognosis-associated genes were screened using different classifiers. The Kaplan-Meier curves along with the two-sided Log Rank (Mantel-Cox) test were used to evaluate overall survival. We found the gene expression profiles of gliomas between those patients received radiotherapy and those patients without received radiotherapy were quite different. A 20-gene signature was identified, which was associated with radiotherapy.Furthermore, a novel 5-gene signature ( HOXC10 , LOC101928747 , CYB561D2 , RPL36A and RPS4XP2 ) as an independent predictor of glioma patients’ prognosis was further derived from the 20-gene signature. These findings provided a new insight into the molecular mechanism of radioresistance in gliomas. The 5-gene signature might represent therapeutic target for gliomas.