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A novel cell‐free DNA methylation‐based model improves the early detection of colorectal cancer

Screening for early‐stage disease is vital for reducing colorectal cancer (CRC)‐related mortality. Methylation of circulating tumor DNA has been previously used for various types of cancer screening. A novel cell‐free DNA (cfDNA) methylation‐based model which can improve the early detection of CRC i...

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Autores principales: Wu, Xianrui, Zhang, Yunfeng, Hu, Tuo, He, Xiaowen, Zou, Yifeng, Deng, Qiling, Ke, Jia, Lian, Lei, He, Xiaosheng, Zhao, Dezhi, Cai, Xuyu, Chen, Zhiwei, Wu, Xiaojian, Fan, Jian‐Bing, Gao, Feng, Lan, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486566/
https://www.ncbi.nlm.nih.gov/pubmed/33694305
http://dx.doi.org/10.1002/1878-0261.12942
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author Wu, Xianrui
Zhang, Yunfeng
Hu, Tuo
He, Xiaowen
Zou, Yifeng
Deng, Qiling
Ke, Jia
Lian, Lei
He, Xiaosheng
Zhao, Dezhi
Cai, Xuyu
Chen, Zhiwei
Wu, Xiaojian
Fan, Jian‐Bing
Gao, Feng
Lan, Ping
author_facet Wu, Xianrui
Zhang, Yunfeng
Hu, Tuo
He, Xiaowen
Zou, Yifeng
Deng, Qiling
Ke, Jia
Lian, Lei
He, Xiaosheng
Zhao, Dezhi
Cai, Xuyu
Chen, Zhiwei
Wu, Xiaojian
Fan, Jian‐Bing
Gao, Feng
Lan, Ping
author_sort Wu, Xianrui
collection PubMed
description Screening for early‐stage disease is vital for reducing colorectal cancer (CRC)‐related mortality. Methylation of circulating tumor DNA has been previously used for various types of cancer screening. A novel cell‐free DNA (cfDNA) methylation‐based model which can improve the early detection of CRC is warranted. For our study, we collected 313 tissue and 577 plasma samples from patients with CRC, advanced adenoma (AA), non‐AA and healthy controls. After quality control, 187 tissue DNA samples (91 non‐malignant tissue from CRC patients, 26 AA and 70 CRC) and 489 plasma cfDNA samples were selected for targeted DNA methylation sequencing. We further developed a cfDNA methylation model based on 11 methylation biomarkers for CRC detection in the training cohort (area under curve [AUC] = 0.90 (0.85–0.94]) and verified the model in the validation cohort (AUC = 0.92 [0.88–0.96]). The cfDNA methylation model robustly detected patients pre‐diagnosed with early‐stage CRC (AUC = 0.90 [0.86–0.95]) or AA (AUC = 0.85 [0.78–0.91]). Here we established and validated a non‐invasive cfDNA methylation model based on 11 DNA methylation biomarkers for the detection of early‐stage CRC and AA. The utilization of the model in clinical practice may contribute to the early diagnosis of CRC.
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spelling pubmed-84865662021-10-07 A novel cell‐free DNA methylation‐based model improves the early detection of colorectal cancer Wu, Xianrui Zhang, Yunfeng Hu, Tuo He, Xiaowen Zou, Yifeng Deng, Qiling Ke, Jia Lian, Lei He, Xiaosheng Zhao, Dezhi Cai, Xuyu Chen, Zhiwei Wu, Xiaojian Fan, Jian‐Bing Gao, Feng Lan, Ping Mol Oncol Research Articles Screening for early‐stage disease is vital for reducing colorectal cancer (CRC)‐related mortality. Methylation of circulating tumor DNA has been previously used for various types of cancer screening. A novel cell‐free DNA (cfDNA) methylation‐based model which can improve the early detection of CRC is warranted. For our study, we collected 313 tissue and 577 plasma samples from patients with CRC, advanced adenoma (AA), non‐AA and healthy controls. After quality control, 187 tissue DNA samples (91 non‐malignant tissue from CRC patients, 26 AA and 70 CRC) and 489 plasma cfDNA samples were selected for targeted DNA methylation sequencing. We further developed a cfDNA methylation model based on 11 methylation biomarkers for CRC detection in the training cohort (area under curve [AUC] = 0.90 (0.85–0.94]) and verified the model in the validation cohort (AUC = 0.92 [0.88–0.96]). The cfDNA methylation model robustly detected patients pre‐diagnosed with early‐stage CRC (AUC = 0.90 [0.86–0.95]) or AA (AUC = 0.85 [0.78–0.91]). Here we established and validated a non‐invasive cfDNA methylation model based on 11 DNA methylation biomarkers for the detection of early‐stage CRC and AA. The utilization of the model in clinical practice may contribute to the early diagnosis of CRC. John Wiley and Sons Inc. 2021-03-25 2021-10 /pmc/articles/PMC8486566/ /pubmed/33694305 http://dx.doi.org/10.1002/1878-0261.12942 Text en © 2021 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Wu, Xianrui
Zhang, Yunfeng
Hu, Tuo
He, Xiaowen
Zou, Yifeng
Deng, Qiling
Ke, Jia
Lian, Lei
He, Xiaosheng
Zhao, Dezhi
Cai, Xuyu
Chen, Zhiwei
Wu, Xiaojian
Fan, Jian‐Bing
Gao, Feng
Lan, Ping
A novel cell‐free DNA methylation‐based model improves the early detection of colorectal cancer
title A novel cell‐free DNA methylation‐based model improves the early detection of colorectal cancer
title_full A novel cell‐free DNA methylation‐based model improves the early detection of colorectal cancer
title_fullStr A novel cell‐free DNA methylation‐based model improves the early detection of colorectal cancer
title_full_unstemmed A novel cell‐free DNA methylation‐based model improves the early detection of colorectal cancer
title_short A novel cell‐free DNA methylation‐based model improves the early detection of colorectal cancer
title_sort novel cell‐free dna methylation‐based model improves the early detection of colorectal cancer
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486566/
https://www.ncbi.nlm.nih.gov/pubmed/33694305
http://dx.doi.org/10.1002/1878-0261.12942
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