Fig. 2: Predictive assessment of risk factors for the occurrence of HCC.
From: The proteomic characterization of the peritumor microenvironment in human hepatocellular carcinoma
A Workflow of the relationship between the altered PME proteome and HCC occurrence. Differential proportion of distribution for AFP (B), cirrhosis stage (C) and CYP2E1 activity (D) between RIlow and RIhigh groups divided by the median RI. Detailed workflow of calculations for RIs described as Fig. S2A. RIhigh, RI > 136.17. CYP2E1high; CYP2E1 > 1 350 pmol/min/mg. E Proportion of risk factors for HCC occurrence in each patient. F Comparison of the RI among different risk factors related with HCC occurrence; Data are presented as a scatter diagram representing the median with range. ROC curve (I, J) and sensitivity as well as specificity (G, H) of the HCC occurrence prediction model with three markers combined (HSPA4L, VIL1, TYMP) in our dataset (G, I) and the validation dataset (H, J). ***P < 0.001 compared with immunity; $P < 0.05, $$$P < 0.001 compared with inflammation; ###P < 0.001 compared with angiogenesis; &&&P < 0.001 compared with proliferation and invasion; %%%P < 0.001 compared with DNA damage and repair. RI, risk index.
