ArticlePharmacogenomics and personalized medicine2024
Three Liquid-Liquid Phase Separation-Related Genes Associated with Prognosis in Glioma.
Article in Pharmacogenomics and personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- IGF2BP2 Overexpression Predicts Poor Prognosis and Correlates with PD-L1 Expression in Intrahepatic Cholangiocarcinoma.Biomedicines · 2026Article
- Prognostic and immunological characterization of osteosarcoma patients evaluated by liquid-liquid phase separation related genes.Discover oncology · 2025Article
- Multifaceted roles of insulin‑like growth factor 2 mRNA binding protein 2 in human cancer (Review).Molecular medicine reports · 2025Review
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Dysregulated liquid-liquid phase separation (LLPS) instigates tumorigenesis through biomolecular condensate dysfunction. However, the association between LLPS-associated genes and glioma remains underexplored. Patients and Methods: Differentially expressed genes (DEGs) of glioma were obtained from the GSE50161 dataset, including 34 glioma and 13 normal samples. We analyzed differentially expressed LLPS-related genes in glioma from public databases. These genes informed refined molecular subtyping on the TCGA-glioma dataset. CIBERSORT assessed immune cell infiltration across three subclusters. A prognostic model was devised using univariate and lasso Cox regressions on intersecting genes. Prognostic gene expression was validated in glioma cells via RT-qPCR. Results: A total of 673 differentially expressed LLPS-associated genes were identified in glioma. Three distinct molecular subtypes (C1, C2, and C3) of glioma were obtained with a marked variance in the expression of immune checkpoint genes PD1 and PDL1. Differences in immune cell infiltration were observed across subtypes. In addition, a tri-gene prognostic signature ( Conclusion: This study innovatively uncovers the significant role of LLPS-related genes in glioma tumor grading and prognosis. The constructed tri-gene prognostic model holds promise for enhancing personalized prognosis assessments and optimizing immunotherapy strategies for glioma patients.
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