| Title |
Hepatitis B virus core antigen mutations predict post-operative prognosis of patients with primary hepatocellular carcinoma
|
|---|---|
| Published in |
Journal of General Virology, June 2017
|
| DOI | 10.1099/jgv.0.000790 |
| Pubmed ID | |
| Authors |
Jian’an Jia, Huiming Li, Hui Wang, Shipeng Chen, Mengmeng Wang, Huijuan Feng, Yuzhen Gao, Yunjiu Wang, Meng Fang, Chunfang Gao |
| Abstract |
The aim of this study was to explore the relationship between hepatitis B virus (HBV) core antigen (HBc) mutations and the post-operative prognosis of HBV-related hepatocellular carcinoma (HCC). In total, 98 patients suffering from HBV-related HCC and treated with surgery were enrolled, with a 48 month follow-up. The preCore/Core region of the HBV genome from tumour tissue (TT) and paired adjacent non-tumour tissue (ANTT) of these patients was sequenced, and a phylogenetic tree was reconstructed. The correlations between the viral features and evolutionary divergence of preCore/Core amino acid sequences from 67 paired TTs and ANTTs were analysed. Cox proportional hazard model analysis was applied for post-operative hazard risk evaluation. Phylogenetic analysis revealed that all of the sequences were ascribed to genotype C. The evolutionary divergence of amino acid sequences from matched TTs and ANTTs was significantly negatively correlated with serum and intrahepatic HBV DNA levels. Multivariate analysis showed that the HBc E77 mutation was associated with shorter overall survival, and HBc S87 and P156 mutations were independent risk factors for relapse. Furthermore, in contrast to with patients without the S87 mutation, no correlation was observed between serum HBV DNA and intrahepatic HBV DNA in HCC patients with the S87 mutation. Analysis of the intrahepatic sequence may advance our understanding of viral status; thus, it is useful for prognosis prediction for HBV-related HCC. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 18% |
| Researcher | 2 | 12% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Other | 4 | 24% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 29% |
| Biochemistry, Genetics and Molecular Biology | 2 | 12% |
| Unspecified | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Journal of General Virology
#6,231
of 6,540 outputs
Outputs of similar age
#288,503
of 329,802 outputs
Outputs of similar age from Journal of General Virology
#63
of 82 outputs
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