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Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA

BACKGROUND: Epigenetic variants carried by circulating tumor DNA can be used as biomarkers for early detection of hepatocellular carcinoma (HCC) by noninvasive liquid biopsy. However, traditional methylation analysis method, bisulfite sequencing, with disadvantages of severe DNA damage, is limited i...

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Autores principales: Guo, Ping, Zheng, Hailing, Li, Yihan, Li, Yuntong, Xiao, Yue, Zheng, Jin, Zhu, Xingqiang, Xu, Huan, He, Zhi, Zhang, Qian, Chen, Jinchun, Qiu, Mingshan, Jiang, Min, Liu, Pingguo, Chen, Hongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814445/
https://www.ncbi.nlm.nih.gov/pubmed/36600275
http://dx.doi.org/10.1186/s13148-022-01420-6
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author Guo, Ping
Zheng, Hailing
Li, Yihan
Li, Yuntong
Xiao, Yue
Zheng, Jin
Zhu, Xingqiang
Xu, Huan
He, Zhi
Zhang, Qian
Chen, Jinchun
Qiu, Mingshan
Jiang, Min
Liu, Pingguo
Chen, Hongliang
author_facet Guo, Ping
Zheng, Hailing
Li, Yihan
Li, Yuntong
Xiao, Yue
Zheng, Jin
Zhu, Xingqiang
Xu, Huan
He, Zhi
Zhang, Qian
Chen, Jinchun
Qiu, Mingshan
Jiang, Min
Liu, Pingguo
Chen, Hongliang
author_sort Guo, Ping
collection PubMed
description BACKGROUND: Epigenetic variants carried by circulating tumor DNA can be used as biomarkers for early detection of hepatocellular carcinoma (HCC) by noninvasive liquid biopsy. However, traditional methylation analysis method, bisulfite sequencing, with disadvantages of severe DNA damage, is limited in application of low-amount cfDNA analysis. RESULTS: Through mild enzyme-mediated conversion, enzymatic methyl sequencing (EM-seq) is ideal for precise determination of cell-free DNA methylation and provides an opportunity for HCC early detection. EM-seq of methylation control DNA showed that enzymatic conversion of unmethylated C to U was more efficient than bisulfite conversion. Moreover, a relatively large proportion of incomplete converted EM-seq reads contains more than 3 unconverted CH site (CH = CC, CT or CA), which can be removed by filtering to improve accuracy of methylation detection by EM-seq. A cohort of 241 HCC, 76 liver disease, and 279 normal plasma samples were analyzed for methylation value on 1595 CpGs using EM-seq and targeted capture. Model training identified 283 CpGs with significant differences in methylation levels between HCC and non-HCC samples. A HCC screening model based on these markers can efficiently distinguish HCC sample from non-HCC samples, with area under the curve of 0.957 (sensitivity = 90%, specificity = 97%) in the test set, performing well in different stages as well as in serum α-fetoprotein/protein induced by vitamin K absence-II negative samples. CONCLUSION: Filtering of reads with ≥ 3 CHs derived from incomplete conversion can significantly reduce the noise of EM-seq detection. Based on targeted EM-seq analysis of plasma cell-free DNA, our HCC screening model can efficiently distinguish HCC patients from non-HCC individuals with high sensitivity and specificity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01420-6.
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spelling pubmed-98144452023-01-06 Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA Guo, Ping Zheng, Hailing Li, Yihan Li, Yuntong Xiao, Yue Zheng, Jin Zhu, Xingqiang Xu, Huan He, Zhi Zhang, Qian Chen, Jinchun Qiu, Mingshan Jiang, Min Liu, Pingguo Chen, Hongliang Clin Epigenetics Research BACKGROUND: Epigenetic variants carried by circulating tumor DNA can be used as biomarkers for early detection of hepatocellular carcinoma (HCC) by noninvasive liquid biopsy. However, traditional methylation analysis method, bisulfite sequencing, with disadvantages of severe DNA damage, is limited in application of low-amount cfDNA analysis. RESULTS: Through mild enzyme-mediated conversion, enzymatic methyl sequencing (EM-seq) is ideal for precise determination of cell-free DNA methylation and provides an opportunity for HCC early detection. EM-seq of methylation control DNA showed that enzymatic conversion of unmethylated C to U was more efficient than bisulfite conversion. Moreover, a relatively large proportion of incomplete converted EM-seq reads contains more than 3 unconverted CH site (CH = CC, CT or CA), which can be removed by filtering to improve accuracy of methylation detection by EM-seq. A cohort of 241 HCC, 76 liver disease, and 279 normal plasma samples were analyzed for methylation value on 1595 CpGs using EM-seq and targeted capture. Model training identified 283 CpGs with significant differences in methylation levels between HCC and non-HCC samples. A HCC screening model based on these markers can efficiently distinguish HCC sample from non-HCC samples, with area under the curve of 0.957 (sensitivity = 90%, specificity = 97%) in the test set, performing well in different stages as well as in serum α-fetoprotein/protein induced by vitamin K absence-II negative samples. CONCLUSION: Filtering of reads with ≥ 3 CHs derived from incomplete conversion can significantly reduce the noise of EM-seq detection. Based on targeted EM-seq analysis of plasma cell-free DNA, our HCC screening model can efficiently distinguish HCC patients from non-HCC individuals with high sensitivity and specificity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01420-6. BioMed Central 2023-01-04 /pmc/articles/PMC9814445/ /pubmed/36600275 http://dx.doi.org/10.1186/s13148-022-01420-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Guo, Ping
Zheng, Hailing
Li, Yihan
Li, Yuntong
Xiao, Yue
Zheng, Jin
Zhu, Xingqiang
Xu, Huan
He, Zhi
Zhang, Qian
Chen, Jinchun
Qiu, Mingshan
Jiang, Min
Liu, Pingguo
Chen, Hongliang
Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA
title Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA
title_full Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA
title_fullStr Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA
title_full_unstemmed Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA
title_short Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA
title_sort hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free dna
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814445/
https://www.ncbi.nlm.nih.gov/pubmed/36600275
http://dx.doi.org/10.1186/s13148-022-01420-6
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