Evidence map›Paper›PMID 31706255›Full record

ArticleAging2019

Selected by gene co-expression network and molecular docking analyses, ENMD-2076 is highly effective in glioblastoma-bearing rats.

Sheng Zhong, Yang Bai, Bo Wu, Junliang Ge, Shanshan Jiang, Weihang Li, Xinhui Wang, Junan Ren, Haiyang Xu, Yong Chen and 1 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 52 citations in OpenAlex.

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  12. COL3A1, COL6A3, and SERPINH1 Are Related to Glucocorticoid-Induced Osteoporosis Occurrence According to Integrated Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

11 authors at 4 institutions in 2 countries.

Sheng ZhongDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Yang BaiDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Bo WuClinical College, Jilin University, Changchun, China.
Junliang GeClinical College, Jilin University, Changchun, China.
Shanshan JiangInstitute of Zoology, China Academy of Science, Beijing, China.
Weihang LiClinical College, Jilin University, Changchun, China.
Xinhui WangDepartment of Oncology, The First Hospital of Jilin University, Changchun, China.
Junan RenClinical College, Jilin University, Changchun, China.
Haiyang XuDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Yong ChenDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Gang ZhaoDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Jilin University · CNFirst Hospital of Jilin University · CNHarvard University · USInstitute of Zoology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma is the most common type of malignant brain tumor. Bioinformatics technology and structure biology were effectively and systematically used to identify specific targets in malignant tumors and screen potential drugs.

resultsGBM patients have higher AURKA and KDR mRNA expression compared with normal samples. Then, we identified a small molecular compound, ENMD-2076, could effectively inhibit Aurora kinase A and VEGFR-2 (encoded by KDR) activities. ENMD-2076 is predicted without toxic properties and also has absorption and gratifying brain/blood barrier penetration ability. Further results demonstrated that ENMD-2076 could significantly inhibit GBM cell lines proliferation and vitality, it also suppressed GBM cells migration and invasion. ENMD-2076 induced glioblastoma cell cycle arrest in G2-M phase and apoptosis by inhibiting PI3K/AKT/mTOR signaling pathways. Additionally, ENMD-2076 prolonged the median survival time of tumor-bearing rats and restrained growth rate of tumor volume

conclusionsOur findings reveal that ENMD-2076 is a promising drug in dealing with glioblastoma and have a perspective application.

methodsWe show that AURKA and KDR genes are hub driver genes in glioblastoma with bioinformatics technology including WGCNA analysis, PPI network, GO, KEGG analysis and GSEA analysis. After identifying a compound via virtual screening analysis, further experiments were carried out to examine the anti-glioblastoma activities of the compound

Indexed as

AnimalsAurora Kinase ACell Line, TumorDrug Screening Assays, AntitumorEpithelial-Mesenchymal TransitionFemaleGene Regulatory NetworksGlioblastomaHumansMaleMolecular Docking SimulationProtein Interaction MapsPyrazolesPyrimidinesRats, WistarVascular Endothelial Growth Factor Receptor-2AURKA protein, humanAurora Kinase AENMD 2076KDR protein, humanPyrazolesPyrimidinesVascular Endothelial Growth Factor Receptor-2bioinformaticsbrain scienceglioblastomahub genes

Identifiers

PMID31706255
PMCPMC6874459
OpenAlexW2984322985

What OpenQuestion holds

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LicenceCC BY
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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.