ArticleTranslational cancer research2026
Comprehensive analysis of liquid-liquid phase separation-related genes in osteosarcoma: implications for prognosis, immune infiltration and drug sensitivity.
Article in Translational cancer research, 2026. 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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Abstract
Background: Liquid-liquid phase separation (LLPS) contributes to osteosarcoma (OS) regulatory mechanisms. This investigation focused on evaluating the predictive potential of LLPS-related genes (LRGs) for OS. Methods: LRGs were obtained from the data resource of LLPS (DrLLPS) database. Transcriptome data from OS patients were downloaded from The Cancer Genome Atlas (TCGA)-Target and Gene Expression Omnibus (GEO) databases, and differentially expressed genes (DEGs) and key module genes for OS were identified through differential expression analysis and weighted gene co-expression network analysis (WGCNA). Univariate Cox regression and machine learning, including least absolute shrinkage and selection operator (LASSO), random forest (RF), and XGBoost, were used to identify hub differentially expressed LRGs (DELRGs), and their predictive value was assessed. Single-gene gene set enrichment analysis (GSEA), immune infiltration, and drug sensitivity analyses were conducted. Results: By intersecting DEGs, key module genes, and LRGs, 221 DELRGs were obtained. Four genes ( Conclusions: This study identified four hub DELRGs for OS prognosis, offering insight into LLPS in OS pathogenesis.
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