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Advanced Science
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Article . 2026
License: CC BY
Data sources: PubMed Central
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Cancer‐Like Fragmentomic Characteristics of Somatic Variants in Cell‐Free DNA

Authors: Zhenyu Zhang; Yunyun An; Mengqi Yang; Yuqi Pan; Xiaoyi Liu; Fanglei Gong; Huizhen Lin; +6 Authors

Cancer‐Like Fragmentomic Characteristics of Somatic Variants in Cell‐Free DNA

Abstract

ABSTRACT 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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold
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Cancer Research