Evidence map›Paper›PMID 35676807›Full record

ArticleThe Journal of international medical research2022

Identification of hub genes and biological pathways in glioma via integrated bioinformatics analysis.

Lulu Chen, Tao Sun, Jian Li, Yongxuan Zhao

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Multi-Omics Integration for Advancing Glioma Precision Medicine.Annals of clinical and translational neurology · 2026
    Review
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Lulu ChenDepartment of Neurosurgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.ORCID https://orcid.org/0000-0001-9976-0728
Tao SunDepartment of Neurosurgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Jian LiDepartment of Neurosurgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Yongxuan ZhaoDepartment of Neurosurgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
First Affiliated Hospital of Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGlioma is the most common intracranial primary malignancy, but its pathogenesis remains unclear.

methodsWe integrated four eligible glioma microarray datasets from the gene expression omnibus database using the robust rank aggregation method to identify a group of significantly differently expressed genes (DEGs) between glioma and normal samples. We used these DEGs to explore key genes closely associated with glioma survival through weighted gene co-expression network analysis. We then constructed validations of prognosis and survival analyses for the key genes via multiple databases. We also explored their potential biological functions using gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA).

resultsWe selected

conclusionThese findings provide new insights into the pathogenesis of glioma. The hub genes have the potential to be used as diagnostic and therapeutic markers.

Indexed as

Brain NeoplasmsGliomaBiomarkers, TumorCell Cycle ProteinsComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansNuclear ProteinsBiomarkers, TumorCell Cycle ProteinsNCAPH protein, humanNuclear Proteinsbioinformaticsbiomarkerdifferential expressionGliomahub genesrobust rank aggregation

Identifiers

PMID35676807
PMCPMC9189557
OpenAlexW4281871598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.