Multi-omics profiling of TGF-β isoforms and regulatory miRNAs in astrocytic tumors reveals TGF-β-3 as a prognostic biomarker

TGF-β-3 is a potent prognostic biomarker in astrocytic tumors and a promising candidate for targeted therapeutic intervention. Regulatory miRNAs such as hsa-miR-2278 and hsa-miR-3196 may serve as molecular modulators of TGF-β signaling and potential adjuncts in personalized glioma therapy. These findings warrant further investigation into miRNA-based therapeutics targeting the TGF-β axis in high-grade gliomas.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-06-20
DOI
https://doi.org/10.3389/fonc.2025.1592685
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.94
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Multi-omics profiling of TGF-β isoforms and regulatory miRNAs in astrocytic tumors reveals TGF-β-3 as a prognostic biomarker

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Multi-omics profiling of TGF-β isoforms and regulatory miRNAs in astrocytic tumors reveals TGF-β-3 as a prognostic biomarker

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article en
1 citations

Abstract

TGF-β-3 is a potent prognostic biomarker in astrocytic tumors and a promising candidate for targeted therapeutic intervention. Regulatory miRNAs such as hsa-miR-2278 and hsa-miR-3196 may serve as molecular modulators of TGF-β signaling and potential adjuncts in personalized glioma therapy. These findings warrant further investigation into miRNA-based therapeutics targeting the TGF-β axis in high-grade gliomas.

Frontiers in OncologyVol. 15
Jagiellonian University (PL), University of Perpetual Help System DALTA (PH), Military Hospital (PK), Silesian University in Opava (CZ), Sefako (Poland) (PL), Academy of Fine Arts in Katowice (PL), St. Raphael's Hospital (PK), Państwowa Akademia Nauk Stosowanych w Przemyślu (PL), 1 Military Clinical Hospital with Outpatient Clinic (PL), Our Lady of Perpetual Help (US), WSB University (PL), Andrzej Frycz Modrzewski Krakow University (PL), University of Silesia in Katowice (PL), University of Rzeszów (PL)
No poverty
Openalex Percentile: Top 24%
Cancer-related molecular mechanisms research
0.94
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