Evidence map›Paper›PMID 39695198›Full record

ArticleScientific data2024

Small RNA sequencing data of plasma extracellular vesicles in a breast cancer screening population.

Jun-Luan Mo, Xi Li, Lin Lei, Xiong-Shun Liang, Hong-Hao Zhou, Zhao-Qian Liu, Li-Jun Zhang, Ji-Ye Yin, Wen-Xu Hong

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 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. Trial
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

9 authors.

Jun-Luan MoShenzhen Center for Chronic Disease Control, Shenzhen, 518020, P. R. China.ORCID 0000-0002-9952-7317
Xi LiDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.
Lin LeiShenzhen Center for Chronic Disease Control, Shenzhen, 518020, P. R. China.
Xiong-Shun LiangShenzhen Center for Chronic Disease Control, Shenzhen, 518020, P. R. China.
Hong-Hao ZhouDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.
Zhao-Qian LiuDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.
Li-Jun ZhangShenzhen Maternity and Child Healthcare Hospital, 518017, Shenzhen, China.
Ji-Ye YinDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, P. R. China.ORCID 0000-0002-1244-5045
Wen-Xu HongShenzhen Center for Chronic Disease Control, Shenzhen, 518020, P. R. China. szbloodcenter@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathogenesis of breast cancer is still unclear. Small RNAs associated with extracellular vesicles (EVs) have been found to be involved in tumor development. It is important to explore the role of EVs small RNAs in breast cancer. In this study, we established a plasma EVS-associated small RNA dataset that included 120 women who were positive for breast cancer screening and 60 women who were negative. These small RNA included 2656 miRNAs, 728 piRNAs, and 154 tsRNAs. These data provide a reference for researchers to explore molecular diagnostic biomarkers for early breast lesions.

Indexed as

Breast NeoplasmsEarly Detection of CancerExtracellular VesiclesMicroRNAsBiomarkers, TumorFemaleHumansSequence Analysis, RNABiomarkers, TumorMicroRNAs

Identifiers

PMID39695198
PMCPMC11655662

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.