Evidence map›Paper›PMID 34616615›Full record

ArticlePeerJ2021

Exosomal hsa-miR-21-5p is a biomarker for breast cancer diagnosis.

Min Liu, Fei Mo, Xiaohan Song, Yun He, Yan Yuan, Jiaoyan Yan, Ye Yang, Jian Huang, Shu Zhang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% of its field
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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

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  20. Exosomal microRNAs: impact on cancer detection, treatment, and monitoring.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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 at 2 institutions in 1 country.

Min LiuDepartment of Laboratory Medicine, Sichuan Maternal and Child Health Hospital, Chengdu, Sichuan Province, China.
Fei MoDepartment of Clinical Laboratory, Affiliated Hospital of Guizhou Medical UniversityGuiyang, Guizhou Province, China.
Xiaohan SongDepartment of Basic Clinical Laboratory Medicine, School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, Guizhou Province, China.
Yun HeDepartment of Clinical Laboratory, Affiliated Hospital of Guizhou Medical UniversityGuiyang, Guizhou Province, China.
Yan YuanDepartment of Basic Clinical Laboratory Medicine, School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, Guizhou Province, China.
Jiaoyan YanDepartment of Basic Clinical Laboratory Medicine, School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, Guizhou Province, China.
Ye YangDepartment of Basic Clinical Laboratory Medicine, School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, Guizhou Province, China.
Jian HuangDepartment of Clinical Laboratory, Affiliated Hospital of Guizhou Medical UniversityGuiyang, Guizhou Province, China.
Shu ZhangDepartment of Clinical Laboratory, Affiliated Hospital of Guizhou Medical UniversityGuiyang, Guizhou Province, China.
Guiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBreast cancer (BC) is characterized by concealed onset, delayed diagnosis, and high fatality rates making it particularly dangerous to patients' health. The purpose of this study was to use comprehensive bioinformatics analysis and experimental verification to find a new biomarker for BC diagnosis.

methodsWe comprehensively analyzed microRNA (miRNA) and mRNA expression profiles from the Gene Expression Omnibus (GEO) and screened out differentially-expressed (DE) miRNAs and mRNAs. We used the miRNet website to predict potential DE-miRNA target genes. Using the Database for Annotation, Visualization and Integrated Discovery (DAVID), we performed Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses on overlapping potential target genes and DE-mRNAs. The protein-protein interaction (PPI) network was then established. The miRNA-mRNA regulatory network was constructed using Cytoscape and the analysis results were visualized. We verified the expression of the most up-regulated DE-miRNA using reverse transcription and a quantitative polymerase chain reaction in BC tissue. The diagnostic value of the most up-regulated DE-miRNA was further explored across three levels: plasma-derived exosomes, cells, and cell exosomes.

resultsOur comprehensive bioinformatics analysis and experimental results showed that hsa-miR-21-5p was significantly up-regulated in BC tissue, cells, and exosomes. Our results also revealed that tumor-derived hsa-miR-21-5p could be packaged in exosomes and released into peripheral blood. Additionally, when evaluating the diagnostic value of plasma exosomal hsa-miR-21-5p, we found that it was significantly up-regulated in BC patients. Receiver operating characteristic (ROC) analysis also confirmed that hsa-miR-21-5p could effectively distinguish healthy people from BC patients. The sensitivity and specificity were 86.7% and 93.3%, respectively.

conclusionThis study's results showed that plasma exosomal hsa-miR-21-5p could be used as a biomarker for BC diagnosis.

Indexed as

BioinformaticsBiomarkerBreast cancerDiagnosisExosomemicroRNA

Identifiers

PMID34616615
PMCPMC8451442
OpenAlexW3201194872

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Registered trials

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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.