Cell-free DNA fragmentomes for noninvasive detection of liver cirrhosis and other diseases

Accessible liquid biopsies, including analyses of genome-wide cell-free DNA (cfDNA) fragmentation, are emerging for early detection of cancer but remain largely unexplored in other diseases. Here, we used whole-genome sequencing to examine cfDNA fragmentomes in 1576 individuals, including those with liver disease or with other morbidities such as vascular, autoimmune, and neurodegenerative conditions. As a prototype for disease-specific cfDNA fragmentomic biomarkers, we developed a machine learning classifier that detected early liver disease, advanced fibrosis, and cirrhosis with high sensitivity in separate discovery (<i>n</i> = 423) and validation cohorts (<i>n</i> = 221) and had limited cross-reactivity for other diseases. Genome-wide fragmentome and methylome analyses revealed liver-derived and immune-mediated changes in cfDNA in the circulation of individuals affected with liver disease. Fragmentomic changes were also observed across a range of other human morbidities and reflected disease-specific changes in the circulation. A machine learning model using cfDNA fragmentomes predicted overall survival in separate morbidity discovery (<i>n</i> = 571) and validation cohorts (<i>n</i> = 231). These analyses demonstrate the connection between cfDNA fragmentomes and an individual's physiologic state and provide previously unrecognized possibilities for cfDNA liquid biopsies across human disease.

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Publication Details

Journal
Science Translational Medicine
Published
2026-03-04
DOI
https://doi.org/10.1126/scitranslmed.adw2603
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Cell-free DNA fragmentomes for noninvasive detection of liver cirrhosis and other diseases

Michaël Noë, Adrianna L. Bartolomucci, Shashikant Koul, Nicholas A. Vulpescu et al.
Science Translational Medicine
Cancer Genomics and Diagnostics
article

Cell-free DNA fragmentomes for noninvasive detection of liver cirrhosis and other diseases

Michaël Noë, Adrianna L. Bartolomucci, Shashikant Koul, Nicholas A. Vulpescu, Zachariah H. Foda, Simona Dima, Jamie E. Medina, Sarah Bacus, Răzvan Iacob, Akshaya V. Annapragada, Dimitrios Mathios, Amy K. Kim, Nicholas C. Dracopoli, Carter Norton, Bryan Chesnick, Jacob Carey, Vilmos Adleff, Jillian Phallen, John D. Groopman, Keerti Boyapati, Noushin Niknafs, Claus Larsen Feltoft, Hope Orjuela, Sarah Short, Liana Gheorghe, Chris Cherry, J. D. Johansen, Victor E. Velculescu, Gregory D. Kirk, Daniel C. Bruhm, Alessandro Leal, Katherine A. McGlynn, Speranta Iacob, Stephen B. Baylin, Andrei Sorop, Robert B. Scharpf
article en

Abstract

Accessible liquid biopsies, including analyses of genome-wide cell-free DNA (cfDNA) fragmentation, are emerging for early detection of cancer but remain largely unexplored in other diseases. Here, we used whole-genome sequencing to examine cfDNA fragmentomes in 1576 individuals, including those with liver disease or with other morbidities such as vascular, autoimmune, and neurodegenerative conditions. As a prototype for disease-specific cfDNA fragmentomic biomarkers, we developed a machine learning classifier that detected early liver disease, advanced fibrosis, and cirrhosis with high sensitivity in separate discovery (<i>n</i> = 423) and validation cohorts (<i>n</i> = 221) and had limited cross-reactivity for other diseases. Genome-wide fragmentome and methylome analyses revealed liver-derived and immune-mediated changes in cfDNA in the circulation of individuals affected with liver disease. Fragmentomic changes were also observed across a range of other human morbidities and reflected disease-specific changes in the circulation. A machine learning model using cfDNA fragmentomes predicted overall survival in separate morbidity discovery (<i>n</i> = 571) and validation cohorts (<i>n</i> = 231). These analyses demonstrate the connection between cfDNA fragmentomes and an individual's physiologic state and provide previously unrecognized possibilities for cfDNA liquid biopsies across human disease.

Science Translational MedicineVol. 18(839)
Johns Hopkins University (US), Carol Davila University of Medicine and Pharmacy (RO), Washington University in St. Louis (US), Johns Hopkins Medicine (US), Herlev Hospital (DK), Gentofte Hospital (DK), CCC Diagnostics (United States) (US), Sequella (United States) (US), National Institute of Research and Development for Biological Sciences (RO), Hope Center for Neurological Disorders (US), Institute of Nutrition of Central America and Panama (GT), National Cancer Institute (US), Institutul Clinic Fundeni (RO), Sidney Kimmel Comprehensive Cancer Center (US)
Good health and well-being
Openalex Percentile: Top 34%
Cancer Genomics and Diagnostics
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