Literature DB >> 31364001

Plasma cell-free DNA chromosomal instability analysis by low-pass whole-genome sequencing to monitor breast cancer relapse.

Huanhuan Zhou1, Xiao-Jia Wang1, Xiyi Jiang2, Ziliang Qian3, Tianhui Chen2, Yue Hu4, Zhan-Hong Chen1, Yun Gao1, Rong Wang1, Wei-Wu Ye1, Wen-Ming Cao5.   

Abstract

BACKGROUND: Chromosomal instabilities (CIN) of plasma cell-free DNA (cfDNA) are common in breast cancer. We aimed to investigate the value of cfDNA CIN in monitoring the breast cancer relapse and additionally to compare it with the traditional biomarkers (CA15-3 and CEA).
METHODS: Overall 62 recurrent breast cancer patients and 20 healthy controls were recruited. Low-pass whole-genome sequencing (LPWGS) was performed to detect cfDNA CIN. A CIN score was calculated. The performance of CA15-3, CEA, and CIN score in monitoring the recurrence was investigated with receiver operating characteristic (ROC) curve and the area under curve (AUC). Multivariable Cox proportional hazard model was established to analyze the correlations between copy number gain/loss and disease-free survival (DFS).
RESULTS: cfDNA CIN achieved the positive rate of 77.6% [(95% confidence interval (CI) 73.4-95.3%)] among recurrent breast cancer patients, with an AUC value of 0.933, superior to CA15-3 (positive rate: 38.7%; AUC: 0.864) and CEA (positive rate: 41.93%; AUC: 0.878) (P < 0.01). The combination of cfDNA CIN with two biomarkers further increased the positive rate to 88.7% (95% confidence interval 77.5-95.0%). cfDNA CIN achieved better performance in patients with shorter DFS (≤ 41 months), with an AUC value of 0.975.
CONCLUSIONS: cfDNA CIN yields a higher accuracy in monitoring breast cancer recurrence compared to traditional biomarkers (CA15-3 and CEA), especially for biomarker-negative patients. The combination of cfDNA CIN to traditional biomarkers further improved the detection rate of recurrence, which may provide a new method for monitoring the early relapse of breast cancer, though further investigations are warranted.

Entities:  

Keywords:  CA153; CEA; CIN; Cell-free DNA; Recurrent breast cancer

Mesh:

Substances:

Year:  2019        PMID: 31364001     DOI: 10.1007/s10549-019-05375-w

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  5 in total

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Journal:  J Gastrointest Oncol       Date:  2020-12

2.  Copy number variation of urine exfoliated cells by low-coverage whole genome sequencing for diagnosis of prostate adenocarcinoma: a prospective cohort study.

Authors:  Youyan Guan; Xiaobing Wang; Kaopeng Guan; Dong Wang; Xingang Bi; Zhendong Xiao; Zejun Xiao; Xingli Shan; Linjun Hu; Jianhui Ma; Changling Li; Yong Zhang; Jianzhong Shou; Baiyun Wang; Ziliang Qian; Nianzeng Xing
Journal:  BMC Med Genomics       Date:  2022-05-05       Impact factor: 3.622

3.  Combination treatment for advanced hepatocellular carcinoma with portal vein tumour thrombus: A case report.

Authors:  Jianrong Wang; Junxue Wang; Jianzhu Wang; Ziliang Qian; Wensheng Xu; Xiaofeng Hang
Journal:  J Int Med Res       Date:  2021-02       Impact factor: 1.671

4.  High chromosome instability identified by low-pass whole-genome sequencing assay is associated with TP53 copy loss and worse prognosis in BRCA1 germline mutation breast cancer.

Authors:  Liang Zhu; Jia-Ni Pan; Ziliang Qian; Wei-Wu Ye; Xiao-Jia Wang; Wen-Ming Cao
Journal:  Breast Cancer       Date:  2021-08-17       Impact factor: 4.239

5.  The correlation between neutrophil-to-lymphocyte ratio, carcinoembryonic antigen, and carbohydrate antigen 153 levels with chemotherapy-related cognitive impairment in early-stage breast cancer patients.

Authors:  Sheng Yu; Jingjing Zhao; Menglian Wang; Guo Cheng; Wen Li; Lingxue Tang; Senbang Yao; Lulian Pang; Xiangxiang Yin; Yanyan Jing; Huaidong Cheng
Journal:  Front Med (Lausanne)       Date:  2022-08-25
  5 in total

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