Evidence map›Paper›PMID 34188703›Full record

ArticleOncology letters2021

P4HA2 promotes cell proliferation and migration in glioblastoma.

Yuying Wu, Xunrui Zhang, Jue Wang, Ruijie Ji, Lei Zhang, Jianbing Qin, Meiling Tian, Guohua Jin, Xinhua Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. [P4HA2 promotes occurrence and progression of liver cancer by regulating the PI3K/Akt/mTOR signaling pathway].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
    Article
  7. Review
  8. Review
  9. 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

9 authors at 1 institution in 1 country.

Yuying WuDepartment of Anatomy, Medical School and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Xunrui ZhangDepartment of Clinical Medicine, Faculty of Medicine, Xinglin College, Nantong University, Nantong, Jiangsu 226008, P.R. China.
Jue WangDepartment of Anatomy, Medical School and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Ruijie JiDepartment of Anatomy, Medical School and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Lei ZhangDepartment of Anatomy, Medical School and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Jianbing QinDepartment of Anatomy, Medical School and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Meiling TianDepartment of Anatomy, Medical School and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Guohua JinDepartment of Anatomy, Medical School and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Xinhua ZhangDepartment of Anatomy, Medical School and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is a primary malignant tumor characterized by high infiltration and angiogenesis in the brain parenchyma. Glioma stem cells (GSCs), a heterogeneous GBM cell type with the potential for self-renewal and differentiation to tumor cells, are responsible for the high malignancy of GBM. The purpose of the present study was to investigate the roles of significantly differentially expressed genes between GSCs and GBM cells in GBM progression. The gene profiles GSE74304 and GSE124145, containing 10 GSC samples and 12 GBM samples in total, were obtained from the Gene Expression Omnibus (GEO) database. The overlapping differentially expressed genes were identified with GEO2R tools and Venn software online. Subsequently, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis was performed on the 41 upregulated and 142 downregulated differentially expressed genes in GSCs compared with in GBM cells via the DAVID website. Protein-protein interaction and module analyses in Cytoscape with the STRING database revealed 21 hub genes that were downregulated in GSCs compared with in GBM cells. Survival analysis conducted via the GEPIA2 website revealed that low expression levels of the hub genes prolyl 4-hydroxylase subunit α2 (P4HA2), TGF-β induced, integrin subunit α3 and thrombospondin 1 were associated with significantly prolonged survival time in patients with GBM. Further experiments were performed focusing on P4HA2. Reverse transcription-quantitative PCR was used to detect P4HA2 gene expression. In agreement with the bioinformatics analysis, P4HA2 expression was higher in U87 cells than in GSCs. Cell Counting Kit-8, EdU incorporation, cell cycle analysis, wound healing and Transwell assays demonstrated that the cell proliferation and migration increased after P4HA2 overexpression and decreased after P4HA2-knockdown. In conclusion, the present study demonstrated that low P4HA2 expression in GSCs promoted GBM cell proliferation and migration, suggesting that P4HA2 may act as a switch in the transition from GSCs to GBM cells.

Indexed as

bioinformatics analysisglioblastomaglioma stem cellsmicroarrayprolyl 4-hydroxylase subunit α2

Identifiers

PMID34188703
PMCPMC8228437
OpenAlexW3172768376

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.