Cancer‐Like Fragmentomic Characteristics of Somatic Variants in Cell‐Free DNA
Cell-free DNA (cfDNA) in plasma consists of short DNA fragments resulting from a non-random fragmentation process, with distinct fragmentomic characteristics that are related with their cellular origins. Here, we report that somatic variant signatures in cfDNA markedly differ between non-cancerous controls and cancer patients, indicating that tumor-associated signals are retained in these variants. Surprisingly, even in controls, cfDNA molecules harboring somatic variants exhibit cancer-like fragmentomic characteristics, such as reduced size, decreased DNA methylation, and altered end motif usages and distributions in the nucleosome structure. Further investigations suggest that such cancer-like traits are associated with somatic variants derived from clonal hematopoiesis. Importantly, these somatic variants-associated fragmentomic aberrations are more pronounced in cancer patients, enabling cancer diagnosis. In a large pan-cancer cohort, we utilize AI to integrate genomic, fragmentomic, and epigenomic features to develop diagnostic models named FreeSV and FreeSV+. Leveraging somatic variant-associated features alone, the FreeSV model achieved area under the ROC curves (AUCs) between 0.81-0.92 across cancer types; however, when genomewide features are also included, the AUCs of FreeSV+ model substantially increased to 0.93-0.99 across cancer types, highlighting the significance of integrative genomic and fragmentomic analyses in cfDNA for cancer liquid biopsy.
Authors
- Changzheng Du
- Yunyun An (ORCID: https://orcid.org/0000-0001-8662-5535)
- Fanglei Gong
- Mengqi Yang (ORCID: https://orcid.org/0009-0005-8228-4565)
- Yuqi Pan (ORCID: https://orcid.org/0009-0006-5671-6771)
- Kun Sun
- Zhenyu Zhang
- Yu Zhao
- Yunxia Bai
- Bianbian Tang
- Xiaoyi Liu
- Xin Zhao
- Huizhen Lin
Institutions
- Sun Yat-sen University (CN)
- Hong Kong University of Science and Technology (HK)
- Southern University of Science and Technology (CN)
- Westlake University (CN)
- Shenzhen Bay Laboratory (CN)
- Sun Yat-sen University Cancer Center (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- Shenzhen Academy of Aerospace Technology (CN)
- Shenzhen Second People's Hospital (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-01-22
- DOI
- https://doi.org/10.1002/advs.202514819
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00