Evidence map›Paper›PMID 34626053›Full record

ArticleCancer science2021

Multi-miRNA panel of tumor-derived extracellular vesicles as promising diagnostic biomarkers of early-stage breast cancer.

Min Woo Kim, Sunyoung Park, Hyojung Lee, Hogyeong Gwak, Kyung-A Hyun, Jee Ye Kim, Hyo-Il Jung, Seung Il Kim

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
4.5field-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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  16. MiR-501-3p/SPC24 axis affects cell proliferation, migration, invasion, apoptosis, and prognosis in renal cell carcinoma.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2025
    Article
  17. Review
  18. Exploring research progress in studying serum exosomal miRNA-21 as a molecular diagnostic marker for breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  19. Bioengineering extracellular vesicle cargo for optimal therapeutic efficiency.Molecular therapy. Methods & clinical development · 2024
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  20. Review
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

8 authors at 1 institution in 1 country.

Min Woo KimYonsei University College of Medicine, Seoul, Republic of Korea.
Sunyoung ParkSchool of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
Hyojung LeeYonsei University College of Medicine, Seoul, Republic of Korea.
Hogyeong GwakSchool of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
Kyung-A HyunSchool of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
Jee Ye KimYonsei University College of Medicine, Seoul, Republic of Korea.
Hyo-Il JungSchool of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
Seung Il KimYonsei University College of Medicine, Seoul, Republic of Korea.
Yonsei University · KR

Funding

Faculty Research Grant from the Yonsei University College of MedicineNational Research Foundation of Korea 2020M3A9I4039045National Research Foundation of Korea 2020R1A5A1018052National Research Foundation of Korea 2020R1I1A1A01067448National Research Foundation of Korea 2021R1I1A1A01051594
6 · The paper itself

Abstract

Extracellular vesicles (EV) have been emerging as potential biomarkers for disease monitoring. In particular, tumor-derived EV (TDE) are known to carry oncogenic miRNA, so they can be used for diagnosis of early cancer by analyzing the expression levels of EV-miRNA circulating in the blood. Here, using our novel microfluidic device, we rapidly and selectively isolate cancerous EV expressing breast cancer-derived surface markers CD49f and EpCAM within 2 minutes. Based on seven candidates of miRNA nominated from The Cancer Genome Atlas (TCGA) database, the expression levels of miRNA in TDE were validated in a total of 82 individuals, including 62 breast cancer patients and 20 healthy controls. Among seven candidates, four miRNAs (miR-9, miR-16, miR-21, and miR-429) from the EV were highly elevated in early-stage breast cancer patients compared with healthy donors. The combination of significant miRNAs from specific EV has high sensitivities of 0.90, 0.86, 0.88, and 0.84 of the area under the receiver operating characteristic curve (AUC) in each subtype (luminal A, luminal B, HER-2, and triple-negative) of early-stage breast cancer. Our results suggest that the combination of four miRNA signatures of specific EV could serve as a sensitive and specific biomarker and enable early diagnosis of breast cancer using liquid biopsy.

Indexed as

Up-RegulationBiomarkers, TumorBreast NeoplasmsCase-Control StudiesCell Line, TumorDatabases, GeneticEarly Detection of CancerEpithelial Cell Adhesion MoleculeExtracellular VesiclesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansIntegrin alpha6MCF-7 CellsMicrofluidic Analytical TechniquesBiomarkers, TumorEPCAM protein, humanEpithelial Cell Adhesion MoleculeIntegrin alpha6MicroRNAsMIRN16 microRNA, humanMIRN21 microRNA, humanMIRN429 microRNA, humanMIRN92 microRNA, humanbiomarkerearly-stage breast cancerextracellular vesiclesliquid biopsymicroRNA

Identifiers

PMID34626053
PMCPMC8645748
OpenAlexW3202248852

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.