國家衛生研究院 NHRI:Item 3990099045/11497
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    题名: A next-generation sequencing-nased platform for quantitative detection of hepatitis B virus pre-S mutants in plasma of Hepatocellular Carcinoma patients
    作者: Teng, CF;Huang, HY;Li, TC;Shyu, WC;Wu, HC;Lin, CY;Su, IJ;Jeng, LB
    贡献者: National Institute of Infectious Diseases and Vaccinology
    摘要: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide. Early diagnosis and treatment of HCC remain a key goal for improving patient survival. Chronic hepatitis B virus (HBV) infection is a major risk factor for HCC development. Pre-S mutants harboring deletions in HBV large surface antigen have been well demonstrated as HBV oncoproteins that dysregulate multiple signaling pathways in hepatocytes, leading to HCC formation. The presence of pre-S mutants in plasma represents important predictive and prognostic markers for HCC in patients with chronic HBV infection. However, the method to detect pre-S mutants remains to be optimized. In this study, we developed a platform, based on the next-generation sequencing (NGS) technology, for detection of pre-S mutants in plasma of HBV-related HCC patients. Compared to the current TA cloning-based analysis, the NGS-based analysis could detect pre-S deletion quantitatively, and the detection rate was significantly more sensitive in 49 plasma analyzed (McNemar's paired proportion test, P value < 0.0001; simple kappa coefficient, kappa = 0.29 (95% CI, 0.12 to 0.46)). Our data suggest that the NGS-based platform may hold a promise for improving the clinical application of pre-S mutants in serving as predictive and prognostic markers for HBV-related HCC.
    日期: 2018-10
    關聯: Scientific Reports. 2018 Oct;8:Article number 14816.
    Link to: http://dx.doi.org/10.1038/s41598-018-33051-4
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=2045-2322&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000446325500028
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85054464787
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