ArticleBiomolecules & biomedicine2025
Article in Biomolecules & biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- <p>CDK1 depletion suppresses glioma malignancy through cell cycle pathway regulation: Mechanistic insights from functional and molecular profiling</p>.Oncology reports · 2026Article
- Towards a personalized perspective on gliomas: an epigenetic-immuno-inflammatory aging framework.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial to mesenchymal transition (EMT) plays a critical role in tumor progression and metastasis, including in gliomas. To examine and interpret data on major genes involved in EMT and associate their changes with low-grade (LGG) and/or high-grade (HGG) gliomas, data from the cBioPortal-a publicly available database for tumor genomics and transcriptomics, were collected for 13 genes: CDH1, CDH2, CTNNB1, LEF1, NOTCH1, SNAI1, SNAI2, SOX2, TJP1/ZO1, TWIST1, VIM, ZEB1, and ZEB2. The dataset included mutations, copy number alterations (CNA), and changes in transcript levels reported for each gene. The genes were additionally validated by gene expression on the GlioVis portal, STRING protein network analysis, survival analysis, and experimentally with qRT-PCR. Glioblastoma and diffuse glioma harbored changes in all 13 analyzed genes, while anaplastic oligodendroglioma and anaplastic astrocytoma in 46.15%, oligodendroglioma in 23.08%, and oligoastrocytoma in 15.38%. NOTCH1 and SOX2 were most affected by changes. The NOTCH1 gene was statistically more frequently changed compared to CDH1, CTNNB1, and ZEB1 (p < 0.05). The virtual study showed that alterations in NOTCH1 and LEF1 were associated with LGG, while alterations in CDH1, CTNNB1, TJP1, TWIST1, SOX2, VIM, ZEB1, and ZEB2 were associated with HGG. Differential expression analysis stratified for IDH1 mutations showed that IDH1-mutant glioblastoma had significantly lower CDH2, LEF1 and SNAI1 expression, and higher ZEB1. Gene expression in different glioblastoma subtypes showed that the TJP1/ZO1 gene was associated with the classical subtype, while ZEB2 was associated with the proneural subtype. qRT-PCR confirmed GlioVis mRNA expression data for NOTCH1, SOX2, CDH1, CTNNB1, TJP1/ZO-1, VIM, TWIST1, and partially for SNAI1 (SNAIL), SNAI2, and CDH2. Our study shows consistent changes in genes involved in EMT in gliomas of different grades. Additional research is needed to confirm the knowledge brought by this study.
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