Characterization and prognostic analysis of hub lipid droplet-associated genes (LDAGs) in hepatocellular carcinoma. (IMAGE)
Caption
(A) Regulatory network between LD-differentially expressed genes (DEGs) and non-LD-DEGs across the three clusters. (B) Correlation analysis between LDAGs and non-LD-DEGs in the C1 subtype. The size of each circle represents the number of non-LD-DEGs highly correlated with the corresponding LDAG. The intensity of the red color indicates the differential expression of LDAGs between the C1 subtype and the other subtypes, with red representing the top five most significant LDAGs. (C) The number of hallmark genes and non-LD-DEGs is highly correlated with the corresponding hub LDAGs. (D) Pathway enrichment analysis of non-LD-DEGs highly correlated with hub LDAGs (PLIN3, SET, CKAP4, RAP1B, and PISD) in the C1 subtype. (E) A combination of machine learning predictive models calculates the C-index for each model on the training set and the validation set. (F–H) Kaplan–Meier curves of OS in the Train (TCGA-LIHC) and test sets (ICGC-LIRI-JP and GSE14520) based on the model showed longer survival time in low-risk groups. (I) Sankey diagram illustrating the relationships between molecular subtypes, risk groups, and patient outcomes.
Credit
Huiying Gu, Qiumin Wu, Haibei Zhao, JingLong Du, Zhenzhen Zhang, Juan Chen
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CC BY-NC-ND