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Unveiling targeted cell-free DNA methylation regions through paired methylome analysis of tumor and normal tissues

Liquid biopsy analysis of cell-free DNA (cfDNA) has revolutionized cancer research by enabling non-invasive assessment of tumor-derived genetic and epigenetic changes. In this study, we conducted a comprehensive paired-sample differential methylation analysis (psDMR) on reprocessed methylation data...

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Autores principales: Li, Tingyi, Patel, Krupal B, Yu, Xiaoqing, Yao, Sijie, Wang, Liang, Chung, Christine H, Wang, Xuefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327111/
https://www.ncbi.nlm.nih.gov/pubmed/37425680
http://dx.doi.org/10.1101/2023.06.27.546654
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author Li, Tingyi
Patel, Krupal B
Yu, Xiaoqing
Yao, Sijie
Wang, Liang
Chung, Christine H
Wang, Xuefeng
author_facet Li, Tingyi
Patel, Krupal B
Yu, Xiaoqing
Yao, Sijie
Wang, Liang
Chung, Christine H
Wang, Xuefeng
author_sort Li, Tingyi
collection PubMed
description Liquid biopsy analysis of cell-free DNA (cfDNA) has revolutionized cancer research by enabling non-invasive assessment of tumor-derived genetic and epigenetic changes. In this study, we conducted a comprehensive paired-sample differential methylation analysis (psDMR) on reprocessed methylation data from two large datasets, CPTAC and TCGA, to identify and validate differentially methylated regions (DMRs) as potential cfDNA biomarkers for head and neck squamous cell carcinoma (HNSC). Our hypothesis is that the paired sample test provides a more suitable and powerful approach for the analysis of heterogeneous cancers like HNSC. The psDMR analysis revealed a significant number of overlapped hypermethylated DMRs between two datasets, indicating the reliability and relevance of these regions for cfDNA methylation biomarker discovery. We identified several candidate genes, including CALCA, ALX4, and HOXD9, which have been previously established as liquid biopsy methylation biomarkers in various cancer types. Furthermore, we demonstrated the efficacy of targeted region analysis using cfDNA methylation data from oral cavity squamous cell carcinoma and nasopharyngeal carcinoma patients, further validating the utility of psDMR analysis in prioritizing cfDNA methylation biomarkers. Overall, our study contributes to the development of cfDNA-based approaches for early cancer detection and monitoring, expanding our understanding of the epigenetic landscape of HNSC, and providing valuable insights for liquid biopsy biomarker discovery not only in HNSC and other cancer types.
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spelling pubmed-103271112023-07-08 Unveiling targeted cell-free DNA methylation regions through paired methylome analysis of tumor and normal tissues Li, Tingyi Patel, Krupal B Yu, Xiaoqing Yao, Sijie Wang, Liang Chung, Christine H Wang, Xuefeng bioRxiv Article Liquid biopsy analysis of cell-free DNA (cfDNA) has revolutionized cancer research by enabling non-invasive assessment of tumor-derived genetic and epigenetic changes. In this study, we conducted a comprehensive paired-sample differential methylation analysis (psDMR) on reprocessed methylation data from two large datasets, CPTAC and TCGA, to identify and validate differentially methylated regions (DMRs) as potential cfDNA biomarkers for head and neck squamous cell carcinoma (HNSC). Our hypothesis is that the paired sample test provides a more suitable and powerful approach for the analysis of heterogeneous cancers like HNSC. The psDMR analysis revealed a significant number of overlapped hypermethylated DMRs between two datasets, indicating the reliability and relevance of these regions for cfDNA methylation biomarker discovery. We identified several candidate genes, including CALCA, ALX4, and HOXD9, which have been previously established as liquid biopsy methylation biomarkers in various cancer types. Furthermore, we demonstrated the efficacy of targeted region analysis using cfDNA methylation data from oral cavity squamous cell carcinoma and nasopharyngeal carcinoma patients, further validating the utility of psDMR analysis in prioritizing cfDNA methylation biomarkers. Overall, our study contributes to the development of cfDNA-based approaches for early cancer detection and monitoring, expanding our understanding of the epigenetic landscape of HNSC, and providing valuable insights for liquid biopsy biomarker discovery not only in HNSC and other cancer types. Cold Spring Harbor Laboratory 2023-06-29 /pmc/articles/PMC10327111/ /pubmed/37425680 http://dx.doi.org/10.1101/2023.06.27.546654 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Li, Tingyi
Patel, Krupal B
Yu, Xiaoqing
Yao, Sijie
Wang, Liang
Chung, Christine H
Wang, Xuefeng
Unveiling targeted cell-free DNA methylation regions through paired methylome analysis of tumor and normal tissues
title Unveiling targeted cell-free DNA methylation regions through paired methylome analysis of tumor and normal tissues
title_full Unveiling targeted cell-free DNA methylation regions through paired methylome analysis of tumor and normal tissues
title_fullStr Unveiling targeted cell-free DNA methylation regions through paired methylome analysis of tumor and normal tissues
title_full_unstemmed Unveiling targeted cell-free DNA methylation regions through paired methylome analysis of tumor and normal tissues
title_short Unveiling targeted cell-free DNA methylation regions through paired methylome analysis of tumor and normal tissues
title_sort unveiling targeted cell-free dna methylation regions through paired methylome analysis of tumor and normal tissues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327111/
https://www.ncbi.nlm.nih.gov/pubmed/37425680
http://dx.doi.org/10.1101/2023.06.27.546654
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