ArticleScientific reports2025
Screening of targets related to amino acid metabolism in glioma to identify the tumor-promoting effects of its core gene ASL.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The trial behind it
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Who cites it
2 citing papers in PubMed.
- Integrative bulk and single-cell analyses implicate ASL in MIF-associated myeloid programs in glioblastoma.Functional & integrative genomics · 2026Article
- Integrating multi-omics and machine learning to explore the role of amino acid metabolism in intervertebral disk degeneration.Frontiers in neurologyArticle
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gliomas, notably high-grade variants, dominate the spectrum of central nervous system (CNS) malignancies, characterized by aggressive behavior and diffuse invasion. Despite advances in tumor immunology, patient outcomes are stagnant. Amino acid metabolism is pivotal in glioma progression, driving the quest for metabolic targets. Bioinformatics allows deep dives into large-scale patient data from TCGA, CGGA, and GEO. Comparative studies on glioma amino acid metabolism have identified genes associated with tumor characteristics and patient survival. This yields an amino acid metabolism-based risk score model, which elucidates key biological processes and signaling pathways. Our holistic strategy clarifies amino acid metabolism's role in glioma onset, paves the way for targeted therapies. Precise analysis and strategic targeting of metabolic pathways hold great promise for improving glioma treatment, offering hope to patients battling this relentless CNS malignancy.
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