Fig. 1

Construction of the lipid metabolism-related gene risk model. (A) The Heatmap plot shows DEGs between normal and tumor tissues in HCC. (B) The Forest plot shows 37 survival-related lipid metabolism genes identified by the univariate regression analysis. (C) Six out of 37 prognostic genes were selected by the LASSO Cox regression model. (D) Kaplan-Meier curves comparing the groups with different expression levels of 6 genes in HCC patients. (E) A total of 16,649 quality controlled single cells derived from tumor and normal tissues in HCC were divided into 8 cell-types based on scRNA-seq analysis. (F) scRNA-seq analysis showed the expression of the six selected prognostic genes in each cell-type. (G) GSVA evaluated lipid metabolism pathway enriched in each cell type. (H) The box plot shows the relationship between the genetic risk model and the clinical features, including histologic neoplasm grade, T stage, and TNM stage. (I) The box plot shows the mean RSs in different immune subtypes