Oncotarget

Research Papers:

lncRNAs PVT1 and HAR1A are prognosis biomarkers and indicate therapy outcome for diffuse glioma patients

Hecun Zou, Lan-Xiang Wu, Yonglong Yang, Shuang Li, Ying Mei, Yong-Bin Liu, Lihua Zhang, Yu Cheng and Hong-Hao Zhou _

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Oncotarget. 2017; 8:78767-78780. https://doi.org/10.18632/oncotarget.20226

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Abstract

Hecun Zou1,2, Lan-Xiang Wu1, Yonglong Yang3,4, Shuang Li2,4, Ying Mei2, Yong-Bin Liu2, Lihua Zhang2, Yu Cheng2 and Hong-Hao Zhou1,2

1Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, China

2Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China

3Haikou People’s Hospital and Affiliated Haikou Hospital of Xiangya Medical School, Central South University, Haikou 570311, China

4Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, China

Correspondence to:

Hong-Hao Zhou, email: hhzhou2005@163.com

Keywords: PVT1, HAR1A, prognosis biomarker, therapy outcome, diffuse glioma

Received: May 07, 2017    Accepted: July 12, 2017    Published: August 12, 2017

ABSTRACT

Diffuse gliomas are well known malignant brain tumors. Long non-coding RNAs (lncRNAs), a type of RNA transcript with more than 200 nucleotides, involve in tumorigenesis and development of various cancers. This study focused on identifying differentially expressed lncRNAs in gliomas based on gene expression profiling, and chose certain lncRNAs PVT1, CYTOR, HAR1A and MIAT, which changed with significant differences. Further analysis of TCGA and GEO data revealed that the expressions of PVT1 and CYTOR were up-regulated, while HAR1A and MIAT expressions were down-regulated in gliomas. Their expression patterns were validated in an independent cohort containing 98 glioma specimens and 12 non-tumor tissue controls. High expression of PVT1 and CYTOR as well as low HAR1A and MIAT expression were associated with high Ki-67 level and more TP53 mutation. Kaplan-Meier survival curve and Cox regression analyses showed that glioma patients with high PVT1 expression or low HAR1A expression had poor survival outcome, aberrantly expressed PVT1 and HAR1A could be the independent prognosis biomarkers for glioma patients. Moreover, down-regulation of PVT1 and up-regulation of HAR1A contributed to improve the survival of patients who received chemotherapy and radiotherapy. These results implied that these four lncRNAs might play important role in diffuse gliomas progression, particularly, PVT1 and HAR1A could be explored as promising biomarkers for diagnosis, prognosis and target therapy of diffuse gliomas.


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