Leveraging cfDNA fragmentomic features for the early detection of colorectal cancer
This study demonstrates that cfDNA fragmentomic profiling, particularly differential patterns of <i>Alu</i> and LTR elements, effectively discriminates benign from malignant colorectal lesions. These findings validate the clinical utility of repetitive element analysis and provide a foundation for developing improved non-invasive CRC diagnostics through machine learning approaches incorporating genomic features.
Authors
- Hanchen Zhao
- Bingjun Bai (ORCID: https://orcid.org/0000-0003-3763-638X)
- Dengyong Xu
- Ji Lin (ORCID: https://orcid.org/0000-0001-7206-6111)
- L. Shan
- Juhang Bao (ORCID: https://orcid.org/0000-0002-7632-8622)
- Jie Chen (ORCID: https://orcid.org/0000-0002-6808-1076)
- Hanqing Zhang (ORCID: https://orcid.org/0000-0003-0158-8718)
- Ziao Lin
- Jianfei Huang
- Wei Xue
- Wenjia Liu
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Sir Run Run Shaw Hospital (CN)
- Shaoxing No.6 People's Hospital (CN)
- Argos Therapeutics (United States) (US)
- Shanghai Traditional Chinese Medicine Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- InterScience (United States) (US)
- Ningbo University Affiliated Hospital (CN)
- Shaoxing People's Hospital (CN)
- Ningbo First Hospital (CN)
- Zhejiang University (CN)
- University of California, Davis (US)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-01-28
- DOI
- https://doi.org/10.3389/fimmu.2026.1705156
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Johnson Cancer Research Center, Kansas State University