Development and Validation of a Cell-Free DNA Fragmentomics–Based Model for Early Detection of Pancreatic Cancer

This study underscores the effectiveness of using cfDNA fragmentomics and machine learning for early detection of PDAC. Our approach promises significant potential in reducing PDAC mortalities through early intervention and could serve as a breakthrough in oncologic diagnostics.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2025-05-01
DOI
https://doi.org/10.1200/jco.24.00287
Citations
10
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
9.36
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article

Development and Validation of a Cell-Free DNA Fragmentomics–Based Model for Early Detection of Pancreatic Cancer

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10 citations
Journal of Clinical Oncology
Cancer Genomics and Diagnostics
9.36
article

Development and Validation of a Cell-Free DNA Fragmentomics–Based Model for Early Detection of Pancreatic Cancer

Dongqin Zhu, Yang Shao, Zheng Wu, Fufeng Wang, Kuirong Jiang, Lingdi Yin, Xue Wu, Zipeng Lu, Zhihang Xu, Yunpeng Peng, Ruowei Yang, Jishu Wei, Ning Pu, Wentao Gao, Bin Xiao, Hua Bao, Kai Zhang, Qiang Li, Liang Liu, Cheng Cao, Yi Miao, Jianzhen Lin, Shanshan Yang, Zheng Wang, Shuang Chang, Cheng Xu, Feng Guo, Min Tu, Feng Xu, Shuai Wu, Junli Wu, Ningyou Li, Jian‐Min Chen
article en
10 citations

Abstract

This study underscores the effectiveness of using cfDNA fragmentomics and machine learning for early detection of PDAC. Our approach promises significant potential in reducing PDAC mortalities through early intervention and could serve as a breakthrough in oncologic diagnostics.

Journal of Clinical OncologyVol. 43(26)
Fudan University (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), Zhongshan Hospital (CN), Jiangsu Province Hospital (CN), Nanjing Medical University (CN)
Openalex Percentile: Top 2%
Cancer Genomics and Diagnostics
9.36
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