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Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer
Early detection is crucial to improve breast cancer (BC) patients’ outcomes and survival. Mammogram and ultrasound adopting the Breast Imaging Reporting and Data System (BI-RADS) categorization are widely used for BC early detection, while suffering high false-positive rate leading to unnecessary bi...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893735/ https://www.ncbi.nlm.nih.gov/pubmed/33608029 http://dx.doi.org/10.1186/s12943-021-01330-w |
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author | Liu, Jiaqi Zhao, Hengqiang Huang, Yukuan Xu, Shouping Zhou, Yan Zhang, Wei Li, Jiaqi Ming, Yue Wang, Xinyu Zhao, Sen Li, Kai Dong, Xiying Ma, Yunlong Qian, Tianyi Chen, Xinyi Xing, Zeyu Zhang, Yan Chen, Hongyan Liu, Zhihua Pang, Da Zhou, Meng Wu, Zhihong Wang, Xiaowo Wang, Xiang Wu, Nan Su, Jianzhong |
author_facet | Liu, Jiaqi Zhao, Hengqiang Huang, Yukuan Xu, Shouping Zhou, Yan Zhang, Wei Li, Jiaqi Ming, Yue Wang, Xinyu Zhao, Sen Li, Kai Dong, Xiying Ma, Yunlong Qian, Tianyi Chen, Xinyi Xing, Zeyu Zhang, Yan Chen, Hongyan Liu, Zhihua Pang, Da Zhou, Meng Wu, Zhihong Wang, Xiaowo Wang, Xiang Wu, Nan Su, Jianzhong |
author_sort | Liu, Jiaqi |
collection | PubMed |
description | Early detection is crucial to improve breast cancer (BC) patients’ outcomes and survival. Mammogram and ultrasound adopting the Breast Imaging Reporting and Data System (BI-RADS) categorization are widely used for BC early detection, while suffering high false-positive rate leading to unnecessary biopsy, especially in BI-RADS category-4 patients. Plasma cell-free DNA (cfDNA) carrying on DNA methylation information has emerged as a non-invasive approach for cancer detection. Here we present a prospective multi-center study with whole-genome bisulfite sequencing data to address the clinical utility of cfDNA methylation markers from 203 female patients with breast lesions suspected for malignancy. The cfDNA is enriched with hypo-methylated genomic regions. A practical computational framework was devised to excavate optimal cfDNA-rich DNA methylation markers, which significantly improved the early diagnosis of BI-RADS category-4 patients (AUC from 0.78–0.79 to 0.93–0.94). As a proof-of-concept study, we performed the first blood-based whole-genome DNA methylation study for detecting early-stage breast cancer from benign tumors at single-base resolution, which suggests that combining the liquid biopsy with the traditional diagnostic imaging can improve the current clinical practice, by reducing the false-positive rate and avoiding unnecessary harms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-021-01330-w. |
format | Online Article Text |
id | pubmed-7893735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78937352021-02-22 Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer Liu, Jiaqi Zhao, Hengqiang Huang, Yukuan Xu, Shouping Zhou, Yan Zhang, Wei Li, Jiaqi Ming, Yue Wang, Xinyu Zhao, Sen Li, Kai Dong, Xiying Ma, Yunlong Qian, Tianyi Chen, Xinyi Xing, Zeyu Zhang, Yan Chen, Hongyan Liu, Zhihua Pang, Da Zhou, Meng Wu, Zhihong Wang, Xiaowo Wang, Xiang Wu, Nan Su, Jianzhong Mol Cancer Letter to the Editor Early detection is crucial to improve breast cancer (BC) patients’ outcomes and survival. Mammogram and ultrasound adopting the Breast Imaging Reporting and Data System (BI-RADS) categorization are widely used for BC early detection, while suffering high false-positive rate leading to unnecessary biopsy, especially in BI-RADS category-4 patients. Plasma cell-free DNA (cfDNA) carrying on DNA methylation information has emerged as a non-invasive approach for cancer detection. Here we present a prospective multi-center study with whole-genome bisulfite sequencing data to address the clinical utility of cfDNA methylation markers from 203 female patients with breast lesions suspected for malignancy. The cfDNA is enriched with hypo-methylated genomic regions. A practical computational framework was devised to excavate optimal cfDNA-rich DNA methylation markers, which significantly improved the early diagnosis of BI-RADS category-4 patients (AUC from 0.78–0.79 to 0.93–0.94). As a proof-of-concept study, we performed the first blood-based whole-genome DNA methylation study for detecting early-stage breast cancer from benign tumors at single-base resolution, which suggests that combining the liquid biopsy with the traditional diagnostic imaging can improve the current clinical practice, by reducing the false-positive rate and avoiding unnecessary harms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-021-01330-w. BioMed Central 2021-02-19 /pmc/articles/PMC7893735/ /pubmed/33608029 http://dx.doi.org/10.1186/s12943-021-01330-w Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Letter to the Editor Liu, Jiaqi Zhao, Hengqiang Huang, Yukuan Xu, Shouping Zhou, Yan Zhang, Wei Li, Jiaqi Ming, Yue Wang, Xinyu Zhao, Sen Li, Kai Dong, Xiying Ma, Yunlong Qian, Tianyi Chen, Xinyi Xing, Zeyu Zhang, Yan Chen, Hongyan Liu, Zhihua Pang, Da Zhou, Meng Wu, Zhihong Wang, Xiaowo Wang, Xiang Wu, Nan Su, Jianzhong Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer |
title | Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer |
title_full | Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer |
title_fullStr | Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer |
title_full_unstemmed | Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer |
title_short | Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer |
title_sort | genome-wide cell-free dna methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893735/ https://www.ncbi.nlm.nih.gov/pubmed/33608029 http://dx.doi.org/10.1186/s12943-021-01330-w |
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