Evidence map›Paper›PMID 39272211›Full record

ArticleBMC research notes2024

Genomic profiling of cell-free DNA from dogs with benign and malignant tumors.

Hongchao Du, Wenfeng Liu, Yunfei Li, Lijuan Zhang, Fangfang Jiang, Dandan Zhu, Jingshuai Li, Pan Hu, Ningning Yan, Mao Mao and 1 more

Abstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

11 authors.

Hongchao DuNew Ruipeng Pet Healthcare Group Co, Ltd, Shenzhen, China.
Wenfeng LiuShanghai Companion Animal Hospital, Shanghai, China.
Yunfei LiResearch & Development, TwixBio, Shenzhen, China.
Lijuan ZhangClinical Laboratories, Shenyou Bio, Zhengzhou, China.ORCID http://orcid.org/0009-0001-7156-1759
Fangfang JiangClinical Laboratories, Shenyou Bio, Zhengzhou, China.
Dandan ZhuClinical Laboratories, Shenyou Bio, Zhengzhou, China.
Jingshuai LiClinical Laboratories, Shenyou Bio, Zhengzhou, China.
Pan HuResearch & Development, TwixBio, Shenzhen, China.
Ningning YanClinical Laboratories, Shenyou Bio, Zhengzhou, China.
Mao MaoResearch & Development, TwixBio, Shenzhen, China. maomao@yuhs.ac.ORCID http://orcid.org/0000-0002-8570-8571
Shiyong LiResearch & Development, TwixBio, Shenzhen, China. lishiyonglee@gmail.com.ORCID http://orcid.org/0000-0003-0416-526X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCancer is currently the most common cause of death in adult dogs. Like humans, dogs have a one-third chance of developing cancer in their lifetime. We used shallow whole-genome sequencing (sWGS) to analyze blood cell-free DNA (cfDNA) from four tumor-bearing dogs (one with benign and three with malignant tumors) and 38 healthy dogs.

resultsSimilar to the results observed in the healthy dogs, no copy number aberration (CNA) was detected in the dog with benign lipomas, and the distribution of cfDNA fragment size (FS) closely resembled that of the healthy dogs. However, among the three dogs diagnosed with malignant tumors, two dogs exhibited varying degrees and quantities of CNAs. Compared to the distribution of FS in the healthy dogs, the cancer dogs exhibited a noticeable shift towards shorter lengths. These findings indicated that CNA and FS profiles derived from sWGS data can be used for non-invasive cancer detection in dogs.

Indexed as

Cell-Free Nucleic AcidsDog DiseasesNeoplasmsAnimalsDNA Copy Number VariationsDogsFemaleGenomicsMaleWhole Genome SequencingCell-Free Nucleic AcidscfDNACNADogFSLiquid biopsysWGS

Identifiers

PMID39272211
PMCPMC11401444

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.