ReviewAging and disease2025
Circulating Cell-free DNA Fragmentomics Detection and Beyond.
Review in Aging and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Circulating Thioredoxin 1 as an Adjunct to Mammography for Breast Cancer Detection: A Multicenter Clinical Validation Study.Cancers · 2026Article
- Exploring the Predictive Value of Circulating Cell-Free DNA Within a Multiparameter Panel for Hepatocellular Carcinoma Detection.Life (Basel, Switzerland) · 2026Article
- Pre-analytical Best Practices for RNA Sequencing from Small Biopsies and Cytologic Specimens.Molecular diagnosis & therapy · 2026Review
- Deciphering double-negative prostate cancer: from aggressive subtype to novel therapeutic paradigms.Cell communication and signaling : CCS · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circulating cell-free DNA (cfDNA) comprises DNA fragments released into bodily fluids via apoptosis, necrosis, or phagocytosis. cfDNA encapsulates both fragmentomics (structural) and non-fragmentomics (sequence/epigenetic) information from source cells, thereby representing a promising biomarker. While non-fragmentomics analyses have enabled diverse diagnostic applications, they often falter in diseases with subtle or widespread genomic changes due to low cfDNA abundance and clonal hematopoiesis interference. Emerging evidence reveals that cfDNA fragmentation is shaped by nucleosome occupancy, nuclease activity, and epigenetic factors, yielding distinct patterns in fragment size, end motifs, nucleosome footprints, and topology. These fragmentomics signatures diverge markedly between healthy and diseased states, and across age group, offering opportunities to complement non-fragmentomics and enhance accuracy. This review delineates key cfDNA fragmentomics targets, elucidates fragmentation mechanisms, and explores clinical applications in the context of diseases and aging. We further survey cutting-edge technologies and computational algorithms and discuss implementation challenges alongside future prospects.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.