ArticleTranslational cancer research2025
Transcriptomics combined with
Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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5 authors.
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Abstract
Background: Polyamine metabolism supports the growth of myeloid-derived suppressor cells (MDSCs) in gliomas and is involved in developing an immunosuppressive state. However, the molecular patterns and prognostic features in low-grade gliomas (LGG) have not been adequately studied. This study was dedicated to exploring core targets of polyamine metabolism in LGG. Methods: A univariate Cox regression was employed to filter for genes correlated with overall survival (OS), and polyamine metabolism-related genes were identified into two distinct clusters by a consensus clustering algorithm, with significant differences in prognostic outcomes and levels of immune cell infiltration between metabolic subtypes. We then constructed prognostic models by least absolute shrinkage and selection operator (LASSO) and stepwise multivariate Cox regression. Next, differences in pathway enrichment, immune immersion and drug sensitivity were explored across risk subgroups. Finally, the role of the key gene spermine synthase (SMS) in LGG progression was explored by Results: We identified molecular subtypes of LGG linked to polyamine metabolism and demonstrated that risk scores validly forecasted patient prognosis and treatment response. SMS was a critical ingredient, and Conclusions: This study elucidates the underlying mechanisms of the molecular regulation of polyamine metabolism and its value for the clinical prognosis of LGG, with the key gene SMS playing a significant role in promoting the malignant progression of glioma cells.
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