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Research Paper|Volume 12, Issue 4|pp 3407—3430

Expression and prognostic value of long non-coding RNA H19 in glioma via integrated bioinformatics analyses

Yilei Xiao1, Zipeng Zhu1, Jianxiong Li2, Jie Yao3, Haitao Jiang1, Ran Ran1, Xueyuan Li1, Zhiqiang Li4
  • 1Department of Neurosurgery, Liaocheng People’s Hospital, Liaocheng 250000, Shandong Province, P.R. China
  • 2Department of Chemotherapy, Chinese PLA General Hospital, Beijing 100036, P.R. China
  • 3Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, P.R. China
  • 4Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, P.R. China
* Equal contribution
Received: October 25, 2019Accepted: January 27, 2020Published: February 20, 2020

Copyright © 2020 Xiao et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Numerous discoveries have elucidated that long noncoding RNAs (lncRNAs) play a critical role in cancer malignant progression. However, their potential involvement in gliomas remains to be explored. Herein, the expression level of lncRNA H19 in glioma tissues, and its relevance with clinical characteristics were analyzed through Oncomine. The results showed that H19 was highly expressed in glioma tissues and its expression increased with the increase of malignancy. Next, GTEx and TCGA data were downloaded for differently expressed genes (DEGs) identification, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, and the correlation analyses between H19 expression and clinic features. Radiation therapy had a good effect on glioblastoma multiforme (GBM), but didn’t have a good effect on low grade glioma (LGG). Meanwhile, the expression level of H19 could act as an indicator molecule indicating the effect of radiotherapy. Finally, gene set enrichment analysis (GSEA) and immune infiltration analysis were conducted. It was found that H19 could affect the immune infiltration level of glioma through copy number variations, thus affecting the prognosis of glioma patients. Collectively, H19 may be involved in the occurrence and development of glioma, and has potential reference value for the relief and immunotherapy of glioma.