Fig. 5: Validation of “HCC-detect” and “HCC-spec” in plasma samples in the Dhaka clinical study and healthy plasma from InnovativeTM Research.
From: A high-throughput test enables specific detection of hepatocellular carcinoma
A Differential methylation of CpGs included in the “HCC-detect” markers (cg02012576 (CHFR), cg03768777 (VASH2), cg05739190 (CCNJ), cg24804544 (GRID2IP) and “HCC-spec” cg14126493 (F12) in healthy controls (n = 46), CHB (n = 49), HCC (302). Beta values for each sample are presented in the scatterplot. B Heatmap depicting the median methylation for each of the 5 regions amplified included in “HCC-detect” and “HCC-spec”. “HCC-detect” row shows the sum of median methylation values for each sample. The color codes for the groups are listed in the legend. C Scatterplots of the “HCC-detect” M scores for control (n = 46), healthy plasma (n = 50), CHB (n = 49), non-HCC cancers (n = 102) and HCC (302). D Median “HCC-detect” M scores for healthy controls (n = 46), healthy plasma (n = 50), CHB (n = 49), non-HCC cancers (n = 102) and four stages of HCC (Stage A + O- 34, Stage B-86, Stage C-106 and Stage D-76) + /− 95% confidence interval. The Supplementary Table 4 shows the statistical significance comparisons between the groups. The line at the median with 95% confidence interval is shown in the plot. E Scatterplots of the “HCC-spec” M scores for healthy plasma, control, CHB, non-HCC cancers and HCC. F Median “HCC-spec” M scores for healthy plasma, control, CHB, non-HCC cancers and four stages of HCC + /− 95% confidence interval. The Supplementary Table 5 shows the statistical significance for comparisons between the groups. The line at the median with 95% confidence interval is shown in the plot. Significance in all tests was determined by Kruskal-Wallis nonparametric one-way ANOVA with Dunn’s multiple comparisons test (****p < 0.0001, ***p < 0.001, **p < 0.01, *p < 0.05). Figures A, C and E only show scatterplots for comparisons with a P value of 0.05 or less, indicating that differences between groups are only considered significant if they meet this threshold. Any comparisons with a higher P value are not displayed. Source data are provided as a Source Data file.
