biostudies-literatureLu YChinese Academy of SciencesShanghai Committee of Science and TechnologyE-Institutes of Shanghai Municipal Education CommissionNational Science and Technology Major Project of ChinaNational Natural Science Foundation of ChinaNational Key Research and Development Program of China665-677https://www.ebi.ac.uk/biostudies/studies/S-EPMC6788726biostudies-literatureUnknown11(8)Hepatitis B virus (HBV)-induced hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths in Asia and Africa. Developing effective and non-invasive biomarkers of HCC for individual patients remains an urgent task for early diagnosis and convenient monitoring. Analyzing the transcriptomic profiles of peripheral blood mononuclear cells from both healthy donors and patients with chronic HBV infection in different states (i.e. HBV carrier, chronic hepatitis B, cirrhosis, and HCC), we identified a set of 19 candidate genes according to our algorithm of dynamic network biomarkers. These genes can both characterize different stages during HCC progression and identify cirrhosis as the critical transition stage before carcinogenesis. The interaction effects (i.e. co-expressions) of cJournal of molecular cell biologyDynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing.PMC67887262017YFA050550081473443XDB1304070014YF141140031771476815034782012ZX10005001-004E0300818YF1420700Chen QZhou QHu YLu YZhang HChen LSun YLi MZeng TXue XLu LSu SFang ZfalseDynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing.Hepatitis B virus (HBV)-induced hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths in Asia and Africa. Developing effective and non-invasive biomarkers of HCC for individual patients remains an urgent task for early diagnosis and convenient monitoring. Analyzing the transcriptomic profiles of peripheral blood mononuclear cells from both healthy donors and patients with chronic HBV infection in different states (i.e. HBV carrier, chronic hepatitis B, cirrhosis, and HCC), we identified a set of 19 candidate genes according to our algorithm of dynamic network biomarkers. These genes can both characterize different stages during HCC progression and identify cirrhosis as the critical transition stage before carcinogenesis. The interaction effects (i.e. co-expressions) of c2019-01-01T00:00:00Z2019 Aug2026-05-03T01:15:04.128Z2019-10-30T08:21:00ZS-EPMC67887263092558310.1093/jmcb/mjz025