biostudies-literatureUnknown15(1)Luo YLiquid-liquid phase separation (LLPS) has been linked to the initiation and progression of cancers. This study aimed to investigate the LLPS-related molecular features and develop a prognostic signature for hepatocellular carcinoma (HCC). Single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data were obtained from open-source repositories. The Seurat package was used for processing and analyzing scRNA-seq data. LLPS-related genes (LLPSRGs) were identified by integrating scRNA-seq and bulk RNA-seq data. Univariate Cox and LASSO regression analyses were employed to construct an LLPS-related prognostic risk model. A predictive nomogram was also developed based on the risk score and clinicopathologic features. Additionally, correlations between clinicopathological features, biological functScientific reports36805https://www.ebi.ac.uk/biostudies/studies/S-EPMC12541017biostudies-literatureIntegration of single-cell and bulk RNA sequencing data to identify liquid-liquid phase separation-related prognostic biomarkers in hepatocellular carcinoma.PMC12541017Luo YWang XfalseIntegration of single-cell and bulk RNA sequencing data to identify liquid-liquid phase separation-related prognostic biomarkers in hepatocellular carcinoma.Liquid-liquid phase separation (LLPS) has been linked to the initiation and progression of cancers. This study aimed to investigate the LLPS-related molecular features and develop a prognostic signature for hepatocellular carcinoma (HCC). Single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data were obtained from open-source repositories. The Seurat package was used for processing and analyzing scRNA-seq data. LLPS-related genes (LLPSRGs) were identified by integrating scRNA-seq and bulk RNA-seq data. Univariate Cox and LASSO regression analyses were employed to construct an LLPS-related prognostic risk model. A predictive nomogram was also developed based on the risk score and clinicopathologic features. Additionally, correlations between clinicopathological features, biological funct2025-01-01T00:00:00Z2025 Oct2026-06-04T15:19:35.706Z2026-05-10T03:12:20.604ZS-EPMC125410174112058610.1038/s41598-025-20691-6