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Next-Generation Sequencing-Based Quantitative Detection of Hepatitis B Virus Pre-S Mutants in Plasma Predicts Hepatocellular Carcinoma Recurrence
Hepatocellular carcinoma (HCC) is among the most common and lethal human cancers worldwide. Despite curative resection, high recurrence of HCC remains a big threat, leading to poor patient outcomes. Hepatitis B virus (HBV) pre-S mutants, which harbor deletions over pre-S1 and pre-S2 gene segments of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472021/ https://www.ncbi.nlm.nih.gov/pubmed/32722114 http://dx.doi.org/10.3390/v12080796 |
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author | Teng, Chiao-Fang Li, Tsai-Chung Huang, Hsi-Yuan Lin, Jia-Hui Chen, Wen-Shu Shyu, Woei-Cherng Wu, Han-Chieh Peng, Cheng-Yuan Su, Ih-Jen Jeng, Long-Bin |
author_facet | Teng, Chiao-Fang Li, Tsai-Chung Huang, Hsi-Yuan Lin, Jia-Hui Chen, Wen-Shu Shyu, Woei-Cherng Wu, Han-Chieh Peng, Cheng-Yuan Su, Ih-Jen Jeng, Long-Bin |
author_sort | Teng, Chiao-Fang |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is among the most common and lethal human cancers worldwide. Despite curative resection, high recurrence of HCC remains a big threat, leading to poor patient outcomes. Hepatitis B virus (HBV) pre-S mutants, which harbor deletions over pre-S1 and pre-S2 gene segments of large surface proteins, have been implicated in HCC recurrence. Therefore, a reliable approach for detection of pre-S mutants is urgently needed for predicting HCC recurrence to improve patient survival. In this study, we used a next-generation sequencing (NGS)-based platform for quantitative detection of pre-S mutants in the plasma of HBV-related HCC patients and evaluated their prognostic values in HCC recurrence. We demonstrated that the presence of deletions spanning the pre-S2 gene segment and the high percentage of pre-S2 plus pre-S1 + pre-S2 deletions, either alone or in combination, was significantly and independently associated with poor recurrence-free survival and had greater prognostic performance than other clinicopathological and viral factors in predicting HCC recurrence. Our data suggest that the NGS-based quantitative detection of pre-S mutants in plasma represents a promising approach for identifying patients at high risk for HBV-related HCC recurrence after surgical resection in a noninvasive manner. |
format | Online Article Text |
id | pubmed-7472021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74720212020-09-17 Next-Generation Sequencing-Based Quantitative Detection of Hepatitis B Virus Pre-S Mutants in Plasma Predicts Hepatocellular Carcinoma Recurrence Teng, Chiao-Fang Li, Tsai-Chung Huang, Hsi-Yuan Lin, Jia-Hui Chen, Wen-Shu Shyu, Woei-Cherng Wu, Han-Chieh Peng, Cheng-Yuan Su, Ih-Jen Jeng, Long-Bin Viruses Article Hepatocellular carcinoma (HCC) is among the most common and lethal human cancers worldwide. Despite curative resection, high recurrence of HCC remains a big threat, leading to poor patient outcomes. Hepatitis B virus (HBV) pre-S mutants, which harbor deletions over pre-S1 and pre-S2 gene segments of large surface proteins, have been implicated in HCC recurrence. Therefore, a reliable approach for detection of pre-S mutants is urgently needed for predicting HCC recurrence to improve patient survival. In this study, we used a next-generation sequencing (NGS)-based platform for quantitative detection of pre-S mutants in the plasma of HBV-related HCC patients and evaluated their prognostic values in HCC recurrence. We demonstrated that the presence of deletions spanning the pre-S2 gene segment and the high percentage of pre-S2 plus pre-S1 + pre-S2 deletions, either alone or in combination, was significantly and independently associated with poor recurrence-free survival and had greater prognostic performance than other clinicopathological and viral factors in predicting HCC recurrence. Our data suggest that the NGS-based quantitative detection of pre-S mutants in plasma represents a promising approach for identifying patients at high risk for HBV-related HCC recurrence after surgical resection in a noninvasive manner. MDPI 2020-07-24 /pmc/articles/PMC7472021/ /pubmed/32722114 http://dx.doi.org/10.3390/v12080796 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Teng, Chiao-Fang Li, Tsai-Chung Huang, Hsi-Yuan Lin, Jia-Hui Chen, Wen-Shu Shyu, Woei-Cherng Wu, Han-Chieh Peng, Cheng-Yuan Su, Ih-Jen Jeng, Long-Bin Next-Generation Sequencing-Based Quantitative Detection of Hepatitis B Virus Pre-S Mutants in Plasma Predicts Hepatocellular Carcinoma Recurrence |
title | Next-Generation Sequencing-Based Quantitative Detection of Hepatitis B Virus Pre-S Mutants in Plasma Predicts Hepatocellular Carcinoma Recurrence |
title_full | Next-Generation Sequencing-Based Quantitative Detection of Hepatitis B Virus Pre-S Mutants in Plasma Predicts Hepatocellular Carcinoma Recurrence |
title_fullStr | Next-Generation Sequencing-Based Quantitative Detection of Hepatitis B Virus Pre-S Mutants in Plasma Predicts Hepatocellular Carcinoma Recurrence |
title_full_unstemmed | Next-Generation Sequencing-Based Quantitative Detection of Hepatitis B Virus Pre-S Mutants in Plasma Predicts Hepatocellular Carcinoma Recurrence |
title_short | Next-Generation Sequencing-Based Quantitative Detection of Hepatitis B Virus Pre-S Mutants in Plasma Predicts Hepatocellular Carcinoma Recurrence |
title_sort | next-generation sequencing-based quantitative detection of hepatitis b virus pre-s mutants in plasma predicts hepatocellular carcinoma recurrence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472021/ https://www.ncbi.nlm.nih.gov/pubmed/32722114 http://dx.doi.org/10.3390/v12080796 |
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