Evidence map›Paper›PMID 41613120›Full record

ArticleFrontiers in immunology2025

Integrative bioinformatic and experimental analysis reveals prognostic and immunological roles of MEX3 family genes in glioma.

Xuezhong Zhang, Hui Shang, Tingting Chu, Kaihui Sha

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Xuezhong ZhangDepartment of Laboratory Medicine, Zibo Central Hospital, Zibo, Shandong, China.
Hui ShangDepartment of Rehabilitation Medicine, Dongying People's Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, Shandong, China.
Tingting ChuDepartment of Laboratory Medicine, Zibo Central Hospital, Zibo, Shandong, China.
Kaihui ShaSchool of Nursing, Binzhou Medical University, Binzhou, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioma is a highly heterogeneous and aggressive malignancy of the central nervous system, and reliable molecular biomarkers are urgently needed to improve prognostic stratification and guide therapeutic decision-making. The MEX3 family of RNA-binding proteins has been implicated in tumorigenesis and post-transcriptional regulation; however, their comprehensive roles in glioma remain poorly understood. Methods: Integrated bioinformatic analyses were performed using transcriptomic and clinical data from TCGA, CGGA, and GEO cohorts to evaluate the expression profiles, diagnostic and prognostic value, genetic alterations, molecular interactions, immune infiltration characteristics, and functional pathways associated with MEX3A, MEX3B, MEX3C, and MEX3D. Protein-protein interaction networks, gene set enrichment, and co-expression analyses were conducted to explore potential biological mechanisms. A MEX3-related prognostic risk model was constructed and validated in independent datasets. Drug sensitivity correlations were analyzed using public pharmacogenomic resources. In addition, Results: All four MEX3 family members were significantly upregulated in glioma tissues compared with normal controls and demonstrated strong diagnostic performance. Distinct prognostic patterns were observed, with MEX3D consistently identified as an independent predictor of poor overall, disease-specific, and progression-free survival. MEX3 genes were associated with diverse genetic alterations and were enriched in pathways related to RNA processing, cell cycle regulation, and cancer-associated signaling. Immune analyses revealed significant correlations between MEX3 expression and multiple immune cell populations as well as immune checkpoint molecules, suggesting potential roles in shaping the glioma immune microenvironment. A MEX3-related co-expression-based prognostic model showed robust survival-predictive ability and remained effective in external validation cohorts. Functional assays confirmed that silencing individual MEX3 genes significantly inhibited glioma cell proliferation, migration, and invasion Conclusions: This study provides a comprehensive characterization of the MEX3 family in glioma, demonstrating their dysregulation, prognostic relevance, immune associations, and functional contributions to malignant phenotypes. Among them, MEX3D emerges as a particularly promising prognostic biomarker. These findings establish a foundation for future mechanistic and translational studies exploring MEX3 family members as potential biomarkers or therapeutic targets in glioma.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaRNA-Binding ProteinsCell Line, TumorComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisProtein Interaction MapsBiomarkers, TumorRNA-Binding Proteinsbioinformatics analysisenrichment analysisexperimental analysisgliomaimmune infiltrationMEX3 family genes

Identifiers

PMID41613120
PMCPMC12847448

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.