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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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.
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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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