Evidence map›Paper›PMID 41231782›Full record

ArticlePloS one2025

Deciphering oxidative stress contributions in vestibular schwannoma: A bioinformatics approach to novel therapeutic pathways.

Yubin Xue, Mingyue Wang, Hongwei Ma

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yubin XueDepartment of Otorhinolaryngology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0001-0772-0989
Mingyue WangDepartment of Publicity, The First People's Hospital of Shizuishan, Ningxia Medical University, Shizuishan, Ningxia, China.
Hongwei MaDepartment of Science and Education, The First People's Hospital of Shizuishan, Ningxia Medical University, Shizuishan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVestibular schwannoma (VS) is a benign tumor originating from Schwann cells, and its molecular pathogenesis remains poorly understood. Increasing evidence suggests oxidative stress (OS) plays a critical role in tumor development, but its involvement in VS is largely unexplored.

methodsWe analyzed two GEO transcriptomic datasets (GSE54934 and GSE56597) to identify oxidative stress-related differentially expressed genes (OSRDEGs). Functional enrichment, protein-protein interaction (PPI) network construction, hub gene identification, and immune infiltration analyses were performed to uncover potential molecular mechanisms.

resultsFifteen OSRDEGs were identified, and nine hub genes (IL6, CYBB, CAV1, EGFR, SELE, IL18, CDKN2A, ADIPOQ, CDH2) were screened. Enrichment analysis indicated that these genes are mainly involved in apoptosis, reactive oxygen species regulation, and immune-related pathways. Moreover, immune infiltration analysis revealed significant differences in CD8 + T cells and macrophage populations between VS and control tissues.

conclusionsOur study suggests that oxidative stress may contribute to VS progression by influencing immune responses and signaling pathways. These findings provide new insights into the molecular basis of VS and may guide future experimental and therapeutic investigations.

Indexed as

Computational BiologyNeuroma, AcousticOxidative StressGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansProtein Interaction MapsSignal TransductionTranscriptome

Identifiers

PMID41231782
PMCPMC12614553

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.