Evidence map›Paper›PMID 32457836›Full record

ArticleFrontiers in oncology2020

High Levels of HIST1H2BK in Low-Grade Glioma Predicts Poor Prognosis: A Study Using CGGA and TCGA Data.

Weidong Liu, Zhentao Xu, Jie Zhou, Shuang Xing, Zhiqiang Li, Xu Gao, Shiyu Feng, Yilei Xiao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Frontiers in oncology · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Dysregulated Expression and Methylation Analysis IdentifiedInternational journal of genomics · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Weidong LiuDepartment of Neurosurgery, Liaocheng People's Hospital, Liaocheng, China.
Zhentao XuDepartment of Neurosurgery, Liaocheng People's Hospital, Liaocheng, China.
Jie ZhouDepartment of Nursing, Liaocheng Vocational and Technical College, Liaocheng, China.
Shuang XingDepartment of Nursing, Liaocheng Vocational and Technical College, Liaocheng, China.
Zhiqiang LiDepartment of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xu GaoDepartment of Neurosurgery, General Hospital of Northern Theater Command (General Hospital of Shenyang Military), Shenyang, China.
Shiyu FengDepartment of Neurosurgery, Chinese PLA General Hospital, Beijing, China.
Yilei XiaoDepartment of Neurosurgery, Liaocheng People's Hospital, Liaocheng, China.
Liaocheng People's Hospital · CNChinese PLA General Hospital · CNGeneral Hospital of Shenyang Military Region · CNZhongnan Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of biomarkers have been identified for various cancers. However, biomarkers associated with glioma remain largely to be explored. In the current study, we investigated the relationship between the expression and prognostic value of the HIST1H2BK gene in glioma. Sequential data filtering (survival analysis, independent prognostic analysis, ROC curve analysis, and clinical correlation analysis) was performed, which resulted in identification of the association between the HIST1H2BK gene and glioma. Then, the HIST1H2BK gene was analyzed using bioinformatics (Kaplan-Meier survival analysis, univariate Cox analysis, multivariate Cox analysis, and ROC curve analysis). The results showed that low expression of HIST1H2BK was associated with better prognosis, and high expression of HIST1H2BK was associated with poor prognosis. In addition, HIST1H2BK was an independent prognostic indicator for patients with glioma. We also evaluated the association between HIST1H2BK and clinical characteristics. Furthermore, gene set enrichment analysis (GSEA) and analysis of immune infiltration were performed. The results showed that HIST1H2BK was associated with intensity of immune infiltration in glioma. Finally, co-expression analysis was performed. The results showed that HIST1H2BK was positively correlated with HIST1H2AG, HIST2H2AA4, HIST1H2BJ, HIST2H2BE, and HIST1H2AC, and negatively correlated with PDZD4, CRY2, GABBR1, rp5-1119a7.17, and KCNJ11. This study showed that upregulation of HIST1H2BK in low-grade glioma (LGG) tissue was an indicator of poor prognosis. Moreover, this study demonstrated that HIST1H2BK may be a promising biomarker for the treatment of LGG.

Indexed as

CGGAgliomaHIST1H2BKprognosisTCGA

Identifiers

PMID32457836
PMCPMC7225299
OpenAlexW3023601928

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.