Identifying epithelial-mesenchymal transition-related genes as prognostic biomarkers and therapeutic targets of hepatocellular carcinoma by integrated analysis of single-cell and bulk-RNA sequencing data.
Chen ChenShunyi WangYuhong TangHuanxiang LiuDaoyuan TuBingbing SuRui PengShengjie JinGuoqing JiangJun CaoChi ZhangDousheng BaiPublished in: Translational cancer research (2024)
This study presented a novel prognostic model for predicting the survival of HCC patients by integrating scRNA-seq and bulk RNA-seq data. The risk score emerges as a promising independent prognostic factor, showing a correlation with the immune microenvironment and clinicopathological features. It provided new clinical tools for predicting prognosis and aided future research into the pathogenesis of HCC.
Keyphrases
- single cell
- rna seq
- prognostic factors
- epithelial mesenchymal transition
- high throughput
- end stage renal disease
- electronic health record
- newly diagnosed
- chronic kidney disease
- ejection fraction
- stem cells
- peritoneal dialysis
- current status
- signaling pathway
- patient reported outcomes
- artificial intelligence
- free survival