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A high-throughput test enables specific detection of hepatocellular carcinoma
High-throughput tests for early cancer detection can revolutionize public health and reduce cancer morbidity and mortality. Here we show a DNA methylation signature for hepatocellular carcinoma (HCC) detection in liquid biopsies, distinct from normal tissues and blood profiles. We developed a classi...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247794/ https://www.ncbi.nlm.nih.gov/pubmed/37286539 http://dx.doi.org/10.1038/s41467-023-39055-7 |
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author | Cheishvili, David Wong, Chifat Karim, Mohammad Mahbubul Kibria, Mohammad Golam Jahan, Nusrat Das, Pappu Chandra Yousuf, Md. Abul Khair Islam, Md. Atikul Das, Dulal Chandra Noor-E-Alam, Sheikh Mohammad Szyf, Moshe Alam, Sarwar Khan, Wasif A. Al Mahtab, Mamun |
author_facet | Cheishvili, David Wong, Chifat Karim, Mohammad Mahbubul Kibria, Mohammad Golam Jahan, Nusrat Das, Pappu Chandra Yousuf, Md. Abul Khair Islam, Md. Atikul Das, Dulal Chandra Noor-E-Alam, Sheikh Mohammad Szyf, Moshe Alam, Sarwar Khan, Wasif A. Al Mahtab, Mamun |
author_sort | Cheishvili, David |
collection | PubMed |
description | High-throughput tests for early cancer detection can revolutionize public health and reduce cancer morbidity and mortality. Here we show a DNA methylation signature for hepatocellular carcinoma (HCC) detection in liquid biopsies, distinct from normal tissues and blood profiles. We developed a classifier using four CpG sites, validated in TCGA HCC data. A single F12 gene CpG site effectively differentiates HCC samples from other blood samples, normal tissues, and non-HCC tumors in TCGA and GEO data repositories. The markers were validated in a separate plasma sample dataset from HCC patients and controls. We designed a high-throughput assay using next-generation sequencing and multiplexing techniques, analyzing plasma samples from 554 clinical study participants, including HCC patients, non-HCC cancers, chronic hepatitis B, and healthy controls. HCC detection sensitivity was 84.5% at 95% specificity and 0.94 AUC. Implementing this assay for high-risk individuals could significantly decrease HCC morbidity and mortality. |
format | Online Article Text |
id | pubmed-10247794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102477942023-06-09 A high-throughput test enables specific detection of hepatocellular carcinoma Cheishvili, David Wong, Chifat Karim, Mohammad Mahbubul Kibria, Mohammad Golam Jahan, Nusrat Das, Pappu Chandra Yousuf, Md. Abul Khair Islam, Md. Atikul Das, Dulal Chandra Noor-E-Alam, Sheikh Mohammad Szyf, Moshe Alam, Sarwar Khan, Wasif A. Al Mahtab, Mamun Nat Commun Article High-throughput tests for early cancer detection can revolutionize public health and reduce cancer morbidity and mortality. Here we show a DNA methylation signature for hepatocellular carcinoma (HCC) detection in liquid biopsies, distinct from normal tissues and blood profiles. We developed a classifier using four CpG sites, validated in TCGA HCC data. A single F12 gene CpG site effectively differentiates HCC samples from other blood samples, normal tissues, and non-HCC tumors in TCGA and GEO data repositories. The markers were validated in a separate plasma sample dataset from HCC patients and controls. We designed a high-throughput assay using next-generation sequencing and multiplexing techniques, analyzing plasma samples from 554 clinical study participants, including HCC patients, non-HCC cancers, chronic hepatitis B, and healthy controls. HCC detection sensitivity was 84.5% at 95% specificity and 0.94 AUC. Implementing this assay for high-risk individuals could significantly decrease HCC morbidity and mortality. Nature Publishing Group UK 2023-06-07 /pmc/articles/PMC10247794/ /pubmed/37286539 http://dx.doi.org/10.1038/s41467-023-39055-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cheishvili, David Wong, Chifat Karim, Mohammad Mahbubul Kibria, Mohammad Golam Jahan, Nusrat Das, Pappu Chandra Yousuf, Md. Abul Khair Islam, Md. Atikul Das, Dulal Chandra Noor-E-Alam, Sheikh Mohammad Szyf, Moshe Alam, Sarwar Khan, Wasif A. Al Mahtab, Mamun A high-throughput test enables specific detection of hepatocellular carcinoma |
title | A high-throughput test enables specific detection of hepatocellular carcinoma |
title_full | A high-throughput test enables specific detection of hepatocellular carcinoma |
title_fullStr | A high-throughput test enables specific detection of hepatocellular carcinoma |
title_full_unstemmed | A high-throughput test enables specific detection of hepatocellular carcinoma |
title_short | A high-throughput test enables specific detection of hepatocellular carcinoma |
title_sort | high-throughput test enables specific detection of hepatocellular carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247794/ https://www.ncbi.nlm.nih.gov/pubmed/37286539 http://dx.doi.org/10.1038/s41467-023-39055-7 |
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