Literature DB >> 26582084

Aberrant NEAT1 expression is associated with clinical outcome in high grade glioma patients.

Chengbiao He1, Bing Jiang2, Jianrong Ma2, Qiaoyu Li2.   

Abstract

Long noncoding RNA (lncRNA) NEAT1 has been reported to play critical roles in various human tumor entities and related to the survival of patients with malignancies. However, little is known about the role of lncRNA NEAT1 in glioma patients. The aim of this study was to investigate the expression of NEAT1 in human glioma and its correlation with clinicopathological features and prognosis in human glioma; we analyzed the relationship of lncRNA NEAT1 expression with clinicopathological characteristics and prognosis in glioma patients. In our results, the relative level of NEAT1 expression was higher in cancer tissues compared with adjacent noncancerous tissues (p < 0.001). High NEAT1 expression was observed to be closely correlated with larger tumor size (p = 0.023), higher WHO grade (p = 0.005), and recurrence (p = 0.011). Kaplan-Meier curves showed that patients with high NEAT1 expression showed unfavorable overall survival (OS) than the low NEAT1 expression group (p = 0.002). Multivariate analysis results revealed that NEAT1 overexpression was an independent prognostic factor for OS in addition to postoperative chemoradiotherapy and WHO grade. Moreover, high NEAT1 expression in patients with stage III~IV disease and postoperative chemoradiotherapy conferred unfavorable OS (stage III~IV p = 0.002, postoperative chemoradiotherapy p = 0.000). This study supports NEAT1 as a potential prognostic predictor with its high expression in cancer tissues and its association with carcinogenesis and progression in glioma.
© 2015 APMIS. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Long noncoding RNA; NEAT1; glioma; prognosis; qRT-PCR

Mesh:

Substances:

Year:  2015        PMID: 26582084     DOI: 10.1111/apm.12480

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  40 in total

1.  Long noncoding RNA NEAT1 is an unfavorable prognostic factor and regulates migration and invasion in gastric cancer.

Authors:  Jing-Wei Fu; Ying Kong; Xu Sun
Journal:  J Cancer Res Clin Oncol       Date:  2016-04-19       Impact factor: 4.553

2.  Cellular, physiological and pathological aspects of the long non-coding RNA NEAT1.

Authors:  Pang-Kuo Lo; Benjamin Wolfson; Qun Zhou
Journal:  Front Biol (Beijing)       Date:  2016-01-04

Review 3.  NEAT1: A novel cancer-related long non-coding RNA.

Authors:  Xin Yu; Zheng Li; Heyi Zheng; Matthew T V Chan; William Ka Kei Wu
Journal:  Cell Prolif       Date:  2017-01-19       Impact factor: 6.831

Review 4.  Prognostic and clinicopathological significance of long non-coding RNA in glioma.

Authors:  Junhong Li; Ruofei Liang; Chen Song; Yufan Xiang; Yanhui Liu
Journal:  Neurosurg Rev       Date:  2018-03-21       Impact factor: 3.042

Review 5.  Regulatory effects of lncRNAs and miRNAs on the crosstalk between autophagy and EMT in cancer: a new era for cancer treatment.

Authors:  Lihui Si; Zecheng Yang; Lu Ding; Duoduo Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2022-01-27       Impact factor: 4.553

Review 6.  The Role of Long Non-coding RNA, Nuclear Enriched Abundant Transcript 1 (NEAT1) in Cancer and Other Pathologies.

Authors:  Miao Zhang; Jianmin Guo; Lifei Liu; Mei Huang; Yuexuan Li; Samuel Bennett; JiaKe Xu; Jun Zou
Journal:  Biochem Genet       Date:  2021-10-24       Impact factor: 1.890

Review 7.  A critical overview of long non-coding RNA in glioma etiology 2016: an update.

Authors:  Yuan-Feng Gao; Zhi-Bin Wang; Tao Zhu; Chen-Xue Mao; Xiao-Yuan Mao; Ling Li; Ji-Ye Yin; Hong-Hao Zhou; Zhao-Qian Liu
Journal:  Tumour Biol       Date:  2016-09-15

8.  Long noncoding RNA ZEB1-AS1 acts as an oncogene in osteosarcoma by epigenetically activating ZEB1.

Authors:  Chibo Liu; Jianjun Lin
Journal:  Am J Transl Res       Date:  2016-10-15       Impact factor: 4.060

9.  Altered Expression of the Long Noncoding RNA NEAT1 in Huntington's Disease.

Authors:  Jun-Sang Sunwoo; Soon-Tae Lee; Wooseok Im; Mijung Lee; Jung-Ick Byun; Keun-Hwa Jung; Kyung-Il Park; Ki-Young Jung; Sang Kun Lee; Kon Chu; Manho Kim
Journal:  Mol Neurobiol       Date:  2016-05-25       Impact factor: 5.590

Review 10.  Neat-en-ing up our understanding of p53 pathways in tumor suppression.

Authors:  Stephano Spano Mello; Laura Donatella Attardi
Journal:  Cell Cycle       Date:  2018-07-31       Impact factor: 4.534

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