Identification of long non-coding RNA HERC2P2 as a tumor suppressor in glioma

Author:

Yang Chao12,Wang Lin12,Sun Jia3,Zhou Jun-hu12,Tan Yan-li4,Wang Yun-fei12,You Hua5,Wang Qi-xue12,Kang Chun-sheng125ORCID

Affiliation:

1. Tianjin Neurological Institute, Key Laboratory of Post-neurotrauma Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, China

2. Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China

3. ProteinT Biotechnology Ltd. Co. Tianjin Airport Free Trade Zone, Tianjin, China

4. College of Fundamental Medicine, Hebei University, Baoding, China

5. Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China

Abstract

Abstract Long non-coding RNAs (lncRNAs) have been reported to play important roles in glioma; however, most of them promote glioma progression. We constructed a competing endogenous (ceRNA) network based on the Chinese Glioma Genome Atlas dataset, and lncRNA hect domain and RLD 2 pseudogene 2 (HERC2P2) is the core of this network. Highly connected genes in the ceRNA network classified the glioma patients into three clusters with significantly different survival rates. The expression of HERC2P2 is positively correlated with survival and negatively correlated with clinical grade. Cell colony formation, Transwell and cell scratch tests were performed to evaluate the role of HERC2P2 in glioblastoma growth. Furthermore, we overexpressed HERC2P2 in U87 cells and established a mouse intracranial glioma model to examine the function of HERC2P2 in vivo. In conclusion, we identified a lncRNA with tumor suppressor functions in glioma that could be a potential biomarker for glioma patients.

Funder

National Natural Science Foundation of China

Tianjin National Natural Scientific Fund

National Key Research and Development Program

Beijing Tianjin Hebei

Tianjin Municipal Science and Technology

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3