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Figure 6 | Clinical Epigenetics

Figure 6

From: Genome-wide methylation profiling of the different stages of hepatitis B virus-related hepatocellular carcinoma development in plasma cell-free DNA reveals potential biomarkers for early detection and high-risk monitoring of hepatocellular carcinoma

Figure 6

Receiver operating characteristics (ROC) and multiple univariate logistic regression analyses for using CpGs to distinguish between hepatocellular carcinoma (HCC) developmental stages are shown according to the CpG position and disease stage (HC + CHB versus LC + HCC or HC + CHB + LC versus HCC). (A) Receiver operating characteristic (ROC) curves for ZNF300, SLC22A20 and SHISA7. Complete DNA methylation data from all four stages of HCC development were used to construct the ROC curves. The ROC curves plot the sensitivity versus 100-specificity. Upper panel: a lower cut-off value was used to distinguish between (LC + HCC)/ (HC + CHB).Lower panel: a higher cut-off value was used to distinguish between HCC/(HC + CHB + LC). (B) A multiple univariate logistic regression analysis was performed using the CpG methylation patterns to evaluate the association between gene methylation and the stage of HCC development. Relationship between the CpG methylation (odds ratios) and the developmental stage. To separate (LC + HCC)/ (HC + CHB) and HCC/(HC + CHB + LC), both univariate (which considers the methylation levels) and multivariate (which also considers the age and gender) logistic regressions were performed using CpG methylation data for ZNF300, SLC22A20 and SHISA7.

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