Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations
Analysis of cell-free DNA (cfDNA) fragmentomic features holds great promise for minimally invasive cancer diagnostics. Although selectively analyzing short plasma cfDNA enriches tumor-derived DNA (ctDNA), the mechanisms shaping cfDNA size profiles remain incompletely understood. Here, we develop a generalized model of cfDNA fragment length distributions across multiple bodily fluids (saliva, urine, cerebrospinal fluid, lymphatic fluid, and plasma), deconvoluting size profiles into ~10-bp periodic peaks (components), each approximated by a Cauchy-Lorentz distribution. This analytical framework enables investigation of cfDNA fragmentation across diverse pathological states and reveals a 159-bp component that may demarcate intra- and inter-nucleosomal cfDNA. By analyzing plasma DNA from individuals harboring germline TP53 mutations, patients receiving radiotherapy, and liver transplantation recipients, we demonstrate that ctDNA shortening can be distinguished from phagocytosis-associated cfDNA shortening through differences in the amplitude and scale parameters of intra- and inter-nucleosomal components. Moreover, leveraging tumor-related fragmentomic alterations, characterized by increased fragmentation entropy identified through cfDNA size deconvolution, significantly enhances cancer detection.
Authors
- Wendy N. Cooper (ORCID: https://orcid.org/0000-0003-3416-9982)
- Nitzan Rosenfeld (ORCID: https://orcid.org/0000-0002-2825-4788)
- Ze Zhou
- Charlotte E. Coles
- Amit Roshan (ORCID: https://orcid.org/0000-0002-2034-2759)
- Sara Lightowlers
- Hui Zhao (ORCID: https://orcid.org/0009-0009-2818-2911)
- Zhao Cheng (ORCID: https://orcid.org/0000-0002-3514-240X)
Institutions
- Queen Mary University of London (GB)
- University of Cambridge (GB)
- Cancer Research UK (GB)
- Cambridge University Hospitals NHS Foundation Trust (GB)
- Cancer Research UK Cambridge Center (GB)
- Cambridge School (PT)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-05-08
- DOI
- https://doi.org/10.1038/s41467-026-72925-4
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Mark Foundation For Cancer Research
- Cancer Research UK
- National Institute for Health and Care Research
- NIHR Cambridge Biomedical Research Centre