摘要
As obligate intracellular parasites,viruses need a host cell to provide a milieu favorable to viral replication.Consequently,viruses often adopt mechanisms to subvert host cellular signaling processes.While beneficial for the viral replication cycle,virus-induced deregulation of host cellular signaling processes can be detrimental to host cell physiology and can lead to virus-associated pathogenesis,including,for oncogenic viruses,cell transformation and cancer progression.Included among these oncogenic viruses is the hepatitis B virus(HBV).Despite the availability of an HBV vaccine,350-500 million people worldwide are chronically infected with HBV,and a significant number of these chronically infected individuals will develop hepatocellular carcinoma(HCC).Epidemiological studies indicate that chronic infection with HBV is the leading risk factor for the development of HCC.Globally,HCC is the second highest cause of cancer-associated deaths,underscoring the need for understanding mechanisms that regulate HBV replication and the development of HBV-associated HCC.HBV is the prototype member of the Hepadnaviridae family;members of this family of viruses have a narrow host range and predominately infect hepatocytes in their respective hosts.The extremely small and compact hepadnaviral genome,the unique arrangement of open reading frames,and a replication strategy utilizing reverse transcription of an RNA intermediate to generate the DNA genome are distinguishing features of the Hepadnaviridae.In this review,the authors provide a comprehensive description of HBV biology,summarize the model systems used for studying HBV infections,and highlight potential mechanisms that link a chronic HBV-infection to the development of HCC.For example,the HBV X protein(HBx),a key regulatory HBV protein that is important for HBV replication,is thought to play a cofactor role in the development of HBV-induced HCC,and the authors highlight the functions of HBx that may contribute to the development of HBV-associated HCC.
基金
supported by an NIH predoctoral fellowship to RJL
the grant number is F31CA171712.
