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May 10, 2026Nature Communications0 citationsOpen Access

Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations

ZZZe ZhouWCWendy N. CooperZCZhao Cheng

Key Points

  • This research aims to clarify the mechanisms influencing cfDNA size profiles and their implications for cancer diagnostics.
  • Developed a generalized model of cfDNA fragment length distributions in multiple bodily fluids.
  • Analyzed plasma DNA from individuals with germline TP53 mutations, undergoing radiotherapy, and liver transplantation.
  • Utilized cfDNA size deconvolution to differentiate between tumor-derived and phagocytosis-associated fragment sizes.
  • Identified a 159-bp cfDNA component indicative of intra- and inter-nucleosomal origins.
  • Demonstrated distinct characteristics of ctDNA fragmentation compared to phagocytosis-associated cfDNA shortening.
  • Increased fragmentation entropy from cfDNA analysis enhanced cancer detection measures significantly.

Abstract

Abstract 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.

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Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/6a002147c8f74e3340f9c234https://doi.org/10.1038/s41467-026-72925-4
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