Identification of a gene signature associated with radiotherapy and prognosis in gliomas
Metrics: PDF 605 views | HTML 1298 views | ?
Shu Li1,2,*, Juanhong Shi3,*, Hongliang Gao1,2,*, Yan Yuan2,*, Qi Chen4, Zhenyu Zhao2, Xiaoqiang Wang2, Bin Li2, LinZhao Ming2, Jun Zhong2, Ping Zhou2, Hua He5, Bangbao Tao2 and Shiting Li2
1Department of Pathophysiology, Wannan Medical College, Wuhu 241002, China
2Department of Neurosurgery, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200092, China
3Department of Pathology Neurosurgery, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200092, China
4Department of Anesthesiology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200092, China
5Department 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
Hua He, email: email@example.com
Bangbao Tao, email: firstname.lastname@example.org
Shiting Li, email: email@example.com
Keywords: glioma, prognosis, gene signature
Received: March 29, 2017 Accepted: August 06, 2017 Published: October 06, 2017
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.
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.