scholarly journals Clinical Application of Estimating Hepatitis B Virus Quasispecies Complexity by Massive Sequencing: Correlation between Natural Evolution and On-Treatment Evolution

PLoS ONE ◽  
2014 ◽  
Vol 9 (11) ◽  
pp. e112306 ◽  
Author(s):  
Maria Homs ◽  
Andrea Caballero ◽  
Josep Gregori ◽  
David Tabernero ◽  
Josep Quer ◽  
...  
2005 ◽  
Vol 19 (4) ◽  
pp. 139-145 ◽  
Author(s):  
Jong-Wan Kim ◽  
Jung-Hyun Shim ◽  
Joo-Won Park ◽  
Won-Cheol Jang ◽  
H.K. Chang ◽  
...  

2019 ◽  
Vol 2019 ◽  
Author(s):  
Wen-Bin Ding ◽  
Meng-Chao Wang ◽  
Jia-Ning Zhang ◽  
Da-Peng Sun ◽  
Jun-Peng Dong ◽  
...  

2020 ◽  
Author(s):  
Jianhua Yin ◽  
Xi Chen ◽  
Nan Li ◽  
Xuewen Han ◽  
Wenbin Liu ◽  
...  

Abstract Serum hepatitis B virus (HBV) mutations can predict hepatocellular carcinoma (HCC) occurrence. We aimed to clarify if HBV evolves synchronously in the sera, adjacent liver, and tumors and predict HCC prognosis equally. A total of 203 HBV-positive HCC patients with radical hepatectomy in Shanghai, China during 2011-2015 were enrolled in this prospective study. Quasispecies complexity (QC) in HBV core promoter region was assessed using clone-based sequencing. We performed RNA-sequencing on tumors and paired adjacent tissues of another 15 HCC patients and analyzed it with 3 public datasets containing 127 samples. HBV QC was positively correlated to APOBEC3s’ expression level (r=0.28, p<0.001), higher in the adjacent tissues than in the tumors (p=6.50e-3), and higher in early tumors than in advanced tumors (p=0.039). The evolutionary distance between the sera-derived HBV strains and the tumor-derived ones was significantly longer than that between the sera-derived ones and the adjacent tissue-derived ones (p<0.001). Multivariate Cox regression analyses indicated that high HBV QC in the sera predicted an unfavorable overall survival (OS) (p=0.002) and recurrence-free survival (RFS) (p=0.004) in HCC; whereas it in the tumors predicted a favorable RFS (p<0.001), respectively. APOBECs-related HBV mutations including G1764A were more frequent in the sera than in the adjacent tissues. High-frequent A1762T/G1764A in the sera predicted an unfavorable RFS (p<0.001); whereas it in the tumors predicted a favorable RFS (p=0.035). In conclusion, HBV evolves more advanced in the sera than in the tumors. HBV QC and A1762T/G1764A in the sera and tumors have contrary prognostic effects in HCC.


2015 ◽  
Vol 96 (11) ◽  
pp. 3302-3312 ◽  
Author(s):  
Feifei Yin ◽  
Zeguang Wu ◽  
Wei Fang ◽  
Chunchen Wu ◽  
Simon Rayner ◽  
...  

Author(s):  
Xu Chen ◽  
Yan Tan ◽  
Shuoshi Wang ◽  
Xueli Wu ◽  
Rui Liu ◽  
...  

Hepatitis B virus (HBV) is one of the most dangerous and prevalent agents that causes acute and chronic liver diseases in humans. Genotyping plays an important role in determining clinical outcomes and response to antiviral treatment in HBV–infected patients. Here, we first devised a CRISPR–based testing platform, termed “CRISPR-HBV,” for ultrasensitive, highly specific, and rapid detection of two major HBV genotypes (HBV-B and HBV-C) in clinical application. The CRISPR-HBV employed multiple cross displacement amplification (MCDA) for rapid preamplification and then Cas12b–based detection for decoding the targets. Finally, the detection result was read out with real-time fluorescence and a lateral flow biosensor. The sensitivity of CRISPR-HBV was 10 copies per test. The specificity was one hundred percent, and no cross reactions were observed in other HBV genotypes and pathogens. The whole detection process, including DNA template extraction (15 min), preamplification reaction of MCDA (30 min at 65°C), CRISPR-Cas12b–based detection (5 min at 37°C), and results readout (∼2 min), could be completed within 1 h. The feasibility of the CRISPR-HBV assay for genotyping HBV-B and -C as successfully validated with clinical samples. Hence, the CRISPR-HBV assay has remarkable potential to develop a point-of-care testing for identifying and distinguishing HBV genotypes B and C in clinical settings, especially in resource-scarcity countries.


2017 ◽  
Vol 1 (1) ◽  
pp. 31-35 ◽  
Author(s):  
Lin Chen ◽  
Jun Hou ◽  
Hong-Shan Wei ◽  
Ai-Xia Liu ◽  
Pei-Ran Li ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document