Identification of dna methylation signatures for hepatocellular carcinoma detection and microvascular invasion prediction

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SUMMARY

    The authors applied genome-wide methylation sequencing, and a novel DNA methylation biomarker analysis method, methylation haplotype block analysis, to HCC detection and prediction of MVI status. Survival analysis revealed that RFS rate and OS rate were significantly worse in MVI + group predicted by the methylation markers than MVI- group predicted by the methylation A B markers, which validated high accuracy of the tissue DNA methylation markers for MVI status prediction (Fig 4C-D). The performance of DNA methylation signature to predict MVI status To compare the prediction performance of the DNA methylation signature . . .

     

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