Genomic landscape of hepatocarcinogenesis

Abstract

Hepatocellular carcinoma (HCC) is a global health issue and the fourth leading cause of cancer deaths worldwide. Large-scale HCC genome sequencing analyses have identified core drivers (TERT, TP53, and CTNNB1/AXIN1) as initial molecular events, and other low-frequent drivers that include therapeutically targetable ones. The recent genetic analysis uncovered a distinctive driver gene landscape in precancerous lesions, arguing a discontinuous process at early HCC development. In advanced tumors, intra-tumoral heterogeneity through clonal evolution processes is common, and it displays clear geographic segregation genetically and epigenetically. Diverse epidemiological risk factors for HCC mirrors heterogeneous mutational processes among patient cohorts with distinctive ethnicity, environmental exposures, and lifestyles. The genetic information of individual tumors has been utilized for optimizing treatments, early diagnosis, and monitoring recurrence. It will expand the opportunity for screening high-risk populations, thereby preventing hepatocarcinogenesis in the near future.