Evidence map›Paper›PMID 29050253›Full record

ArticleOncotarget2017

Differential expression of exosomal miRNAs between breast cancer patients with and without recurrence.

Aiko Sueta, Yutaka Yamamoto, Mai Tomiguchi, Takashi Takeshita, Mutsuko Yamamoto-Ibusuki, Hirotaka Iwase

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% 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

88 citing papers in PubMed, 3 syntheses or guidelines pooled it, 126 citations in OpenAlex.

  1. Pooled it
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  3. Effect of exosome biomarkers for diagnosis and prognosis of breast cancer patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
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  10. Biogenesis and functional implications of extracellular vesicles in cancer metastasis.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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28 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Aiko SuetaDepartment of Breast and Endocrine Surgery, Kumamoto University Graduate School of Medical Sciences, Kumamoto 860-8556, Japan.
Yutaka YamamotoDepartment of Breast and Endocrine Surgery, Kumamoto University Graduate School of Medical Sciences, Kumamoto 860-8556, Japan.
Mai TomiguchiDepartment of Breast and Endocrine Surgery, Kumamoto University Graduate School of Medical Sciences, Kumamoto 860-8556, Japan.
Takashi TakeshitaDepartment of Breast and Endocrine Surgery, Kumamoto University Graduate School of Medical Sciences, Kumamoto 860-8556, Japan.
Mutsuko Yamamoto-IbusukiDepartment of Molecular-Targeting Therapy for Breast Cancer, Kumamoto University Hospital, Kumamoto 860-8556, Japan.
Hirotaka IwaseDepartment of Breast and Endocrine Surgery, Kumamoto University Graduate School of Medical Sciences, Kumamoto 860-8556, Japan.
Kumamoto University · JPKumamoto University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExosomal microRNAs (miRNAs) are promising candidate biomarkers for diagnosis or prognosis for breast cancer. We investigated the prognostic role of exosomal miRNAs in serum samples derived from patients with breast cancer and compared miRNA expression between serum and tumor tissues.

methodsThe miRNA profile derived from exosome between breast cancer patients with recurrence (n = 16) and without recurrence (n = 16) were compared by miRNA PCR array. Further, we examined the expression of miRNAs derived from tissues in the patients with breast cancer with (n = 35) and without recurrence (n = 39) by qRT-PCR.

resultsOf 384 miRNAs, three miRNAs (miR-338-3p, miR-340-5p, and miR-124-3p) were significantly upregulated and eight (miR-29b-3p, miR-20b-5p, miR-17-5p, miR-130a-3p, miR-18a-5p, miR-195-5p, miR-486-5p, and miR-93-5p) were significantly downregulated in the patients with recurrence. We evaluated the expression of the miRNAs in tumor tissues. The patients with recurrence had higher levels of miR-340 at their primary site as well as in the serum. In contrast, miR-195-5p, miR-17-5p, miR-93-5p, and miR-130a-3p, derived from tumor tissues that were downregulated in the serum from patients with recurrence, were higher in the patients with recurrence than in those with no recurrence. In logistic regression analysis, miR-340-5p, miR-17-5p, miR-130a-3p, and miR-93-5p were significantly associated with recurrence.

conclusionsSeveral exosomal miRNAs may be useful biomarkers to predict breast cancer recurrence. We show the different expression patterns of miRNAs between tumor tissues and serum. These findings may suggest selective mechanism of release of exosomal miRNAs by cancer cells to regulate their progression.

Indexed as

breast cancercirculating biomarkerexosomemicroRNAprognostic factor

Identifiers

PMID29050253
PMCPMC5642528
OpenAlexW2739386744

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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.