Evidence map›Paper›PMID 41732157›Full record

ArticleFrontiers in genetics2026

Clinical significance and oncogenic role of ECHDC2 in glioblastoma: a comprehensive analysis based on bioinformatics and

Shengliang Lin, Tian Wei, Qian Wu, Qingqing Liu, Longyun Hu, Bigui Song, Jiejing Lin, Zewei Zhao, Yi Cai, Xiaoxiao Li and 3 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Shengliang Lin *School of Medical Technology, Beijing Institute of Technology, Beijing, China.
Tian Wei *Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Qian Wu *Shenzhen Key Laboratory of Systems Medicine for inflammatory diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Qingqing LiuShenzhen Key Laboratory of Systems Medicine for inflammatory diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Longyun HuShenzhen Key Laboratory of Systems Medicine for inflammatory diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Bigui SongShenzhen Key Laboratory of Systems Medicine for inflammatory diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Jiejing LinShenzhen Key Laboratory of Systems Medicine for inflammatory diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Zewei ZhaoShenzhen Key Laboratory of Systems Medicine for inflammatory diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Yi CaiShenzhen Key Laboratory of Systems Medicine for inflammatory diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Xiaoxiao LiShenzhen Key Laboratory of Systems Medicine for inflammatory diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Zhonghan YangShenzhen Key Laboratory of Systems Medicine for inflammatory diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Chengming LiArtificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, Guangdong, China.
Xiping HuSchool of Medical Technology, Beijing Institute of Technology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Growing evidence implicates enoyl-CoA hydratase domain-containing protein 2 (ECHDC2) in oncogenesis, yet its role in glioblastoma (GBM) remains undefined. We aimed to clarify the pathological significance and molecular mechanisms of ECHDC2 in GBM. Methods: Gene-expression profiles from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were analyzed. Kaplan-Meier curves were used to evaluate the prognostic value of ECHDC2. Immune cell infiltration was quantified using CIBERSORT, single-sample gene-set enrichment analysis (ssGSEA), and ESTIMATE algorithms. Spearman's correlation analysis was applied to assess the associations between ECHDC2 expression levels, immune checkpoint molecules, and immune cell subsets. To elucidate the functional relevance of ECHDC2, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene-set enrichment analyses (GSEA) were performed, while protein-protein interaction (PPI) networks were investigated using the STRING database. Subsequently, ECHDC2 was knocked down or overexpressed in GBM cell lines, and its effects on cell proliferation and migration were determined using CCK-8, EdU, wound-healing, and Transwell migration assays. Results: Upregulated ECHDC2 expression was significantly correlated with unfavorable clinicopathological features and reduced overall survival (OS) in patients with GBM. High ECHDC2 expression was associated with increased infiltration of effector-memory CD8 Conclusion: ECHDC2 overexpression promotes GBM progression and portends poor prognosis. ECHDC2 may serve as both a prognostic biomarker and a therapeutic target in GBM.

Indexed as

bioinformaticsECHDC2glioblastomaimmune infiltrationPI3K/AKT

Identifiers

PMID41732157
PMCPMC12925631

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.