Evidence map›Paper›PMID 40663513›Full record

ArticlePloS one2025

Dissecting cell-free DNA fragmentation variation in tumors using cell line-derived xenograft mouse.

Ruiqing Fu, He Amy Su, Yi Zhao, Yafei Tian, Hongyan Chen, Daru Lu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ruiqing FuSinglera Genomics (Shanghai) Ltd., Shanghai, China.
He Amy SuWLSA Shanghai Academy, Shanghai, China.
Yi ZhaoSchool of Medicine, Hangzhou City University, Hangzhou, China.
Yafei TianMOE Engineering Research Center of Gene Technology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Hongyan ChenMOE Engineering Research Center of Gene Technology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Daru LuMOE Engineering Research Center of Gene Technology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0001-7663-3064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-free DNA (cfDNA) is increasingly studied for its diverse applications in non-invasive detection. Non-randomly cleaved by nucleases and released into the bloodstream, cfDNA exhibits a variety of intrinsic fragmentation patterns indicative of cell status. Particularly, these fragmentation patterns have recently been demonstrated to be effective in predicting cancer and its tissue-of-origin, owing to increased variation of fragmentation features observed in tumor patients. However, there remains a lack of detailed exploration of altered cfDNA fragmentation profiles in tumors, which consist of a mixture of both non-tumor cfDNA and circulating tumor DNA (ctDNA). Hence, we leveraged the human tumor cell line-derived xenograft (CDX) mouse model, where different tumor cell lines were implanted into different anatomical sites, to isolate pure ctDNA and separately investigate the fragment properties of CDX-cfDNA and ctDNA. We found an enrichment of short cfDNA fragments in both CDX-cfDNA and ctDNA compared to normal plasma cfDNA, with more elevated short fragments in ctDNA. Moreover, the CDX-cfDNA fragmentation features distinguished between CDX models of different tumor cell lines, while the ctDNA fragmentation features conversely discriminate between CDX models of different anatomical sites. The results suggested that both non-tumor cfDNA and ctDNA contribute to the increased variation observed in tumors, and that cfDNA fragmentation may be highly variable and susceptible to regulations by both original cells and cells within the local niche.

Indexed as

Cell-Free Nucleic AcidsCirculating Tumor DNADNA FragmentationNeoplasmsAnimalsCell Line, TumorHeterograftsHumansMiceCell-Free Nucleic AcidsCirculating Tumor DNA

Identifiers

PMID40663513
PMCPMC12262859

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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.