Literature DB >> 33608029

Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer.

Jiaqi Liu1,2, Hengqiang Zhao3, Yukuan Huang2,4, Shouping Xu5, Yan Zhou6, Wei Zhang7, Jiaqi Li7, Yue Ming8, Xinyu Wang2,4, Sen Zhao3, Kai Li9, Xiying Dong3, Yunlong Ma2,4, Tianyi Qian1, Xinyi Chen1, Zeyu Xing1, Yan Zhang10, Hongyan Chen11, Zhihua Liu11, Da Pang5, Meng Zhou2,4, Zhihong Wu12, Xiaowo Wang7, Xiang Wang13, Nan Wu14, Jianzhong Su15,16,17.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33608029     DOI: 10.1186/s12943-021-01330-w

Source DB:  PubMed          Journal:  Mol Cancer        ISSN: 1476-4598            Impact factor:   27.401


  6 in total

1.  Preanalytical Variables and Sample Quality Control for Clinical Variant Analysis.

Authors:  Ilaria Alborelli; Philip M Jermann
Journal:  Methods Mol Biol       Date:  2022

2.  SEPTIN9-SDC2-VIM methylation signature as a biomarker for the early diagnosis of colorectal cancer.

Authors:  Rong-Qiang Yuan; Hui Zhao; Yan Wang; Kai Song; Jia Yang; Wei He; Da-Zhuang Miao; Qi Wang; Yun-He Jia
Journal:  Am J Cancer Res       Date:  2022-07-15       Impact factor: 5.942

3.  Letter to the Editor: An ultra-sensitive assay using cell-free DNA fragmentomics for multi-cancer early detection.

Authors:  Hua Bao; Zheng Wang; Xiaoji Ma; Wei Guo; Xiangyu Zhang; Wanxiangfu Tang; Xin Chen; Xinyu Wang; Yikuan Chen; Shaobo Mo; Naixin Liang; Qianli Ma; Shuyu Wu; Xiuxiu Xu; Shuang Chang; Yulin Wei; Xian Zhang; Hairong Bao; Rui Liu; Shanshan Yang; Ya Jiang; Xue Wu; Yaqi Li; Long Zhang; Fengwei Tan; Qi Xue; Fangqi Liu; Sanjun Cai; Shugeng Gao; Junjie Peng; Jian Zhou; Yang Shao
Journal:  Mol Cancer       Date:  2022-06-11       Impact factor: 41.444

4.  Upregulation of LINC00511 expression by DNA hypomethylation promotes the progression of breast cancer.

Authors:  Chunxiao Liu; Yuting Xu; Xu Liu; Yingqiang Fu; Kaiyuan Zhu; Zhenbo Niu; Jiaxin Liu; Cheng Qian
Journal:  Gland Surg       Date:  2021-04

Review 5.  Liquid biopsies to occult brain metastasis.

Authors:  Asad Ur Rehman; Parvez Khan; Shailendra Kumar Maurya; Jawed A Siddiqui; Juan A Santamaria-Barria; Surinder K Batra; Mohd Wasim Nasser
Journal:  Mol Cancer       Date:  2022-05-10       Impact factor: 41.444

6.  Identification of Prognostic Risk Model Based on DNA Methylation-Driven Genes in Esophageal Adenocarcinoma.

Authors:  Yuhua Chen; Jinjie Wang; Hao Zhou; Zhanghao Huang; Li Qian; Wei Shi
Journal:  Biomed Res Int       Date:  2021-06-10       Impact factor: 3.411

  6 in total

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