Evidence map›Paper›PMID 32215990›Full record

ArticleCancer science2020

Predicting the presence of breast cancer using circulating small RNAs, including those in the extracellular vesicles.

Yumiko Koi, Yasuhiro Tsutani, Yukie Nishiyama, Daisuke Ueda, Yuta Ibuki, Shinsuke Sasada, Tomoyuki Akita, Norio Masumoto, Takayuki Kadoya, Yuki Yamamoto and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. 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
2.9field-weighted citation impact, top 8% 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, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Unlocking the role of tRNA-derived fragments in shaping breast cancer signaling.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  6. Review
  7. Review
  8. Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.International journal of molecular sciences · 2025
    Review
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  10. Review
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Review
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  18. Article
  19. Review
  20. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    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

14 authors at 1 institution in 1 country.

Yumiko KoiSurgical Oncology, Division of Radiation Biology and Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Yasuhiro TsutaniDepartment of Surgical Oncology, Research Center for Radiation Casualty Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0001-8836-1027
Yukie NishiyamaDepartment of Cellular and Molecular Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Daisuke UedaSurgical Oncology, Division of Radiation Biology and Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Yuta IbukiSurgical Oncology, Division of Radiation Biology and Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Shinsuke SasadaDepartment of Surgical Oncology, Research Center for Radiation Casualty Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0003-1623-869X
Tomoyuki AkitaDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0002-1056-3611
Norio MasumotoDepartment of Surgical Oncology, Research Center for Radiation Casualty Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0002-2274-0558
Takayuki KadoyaDepartment of Surgical Oncology, Research Center for Radiation Casualty Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0003-1835-1266
Yuki YamamotoDepartment of Cellular and Molecular Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0001-7733-3741
Ryou-U TakahashiDepartment of Cellular and Molecular Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0002-9192-2929
Junko TanakaDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0002-5669-4051
Morihito OkadaDepartment of Surgical Oncology, Research Center for Radiation Casualty Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0001-7068-6608
Hidetoshi TaharaDepartment of Cellular and Molecular Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0003-3054-4175
Hiroshima University · JP

Funding

Japan Agency for Medical Research and DevelopmentNew Energy and Industrial Technology Development Organization
6 · The paper itself

Abstract

Emerging evidence indicates that small RNAs, including microRNAs (miRNAs) and their isoforms (isomiRs), and transfer RNA fragments (tRFs), are differently expressed in breast cancer (BC) and can be detected in blood circulation. Circulating small RNAs and small RNAs in extracellular vesicles (EVs) have emerged as ideal markers in small RNA-based applications for cancer detection. In this study, we first undertook small RNA sequencing to assess the expression of circulating small RNAs in the serum of BC patients and cancer-free individuals (controls). Expression of 3 small RNAs, namely isomiR of miR-21-5p (3' addition C), miR-23a-3p and tRF-Lys (TTT), was significantly higher in BC samples and was validated by small RNA sequencing in an independent cohort. Our constructed model using 3 small RNAs showed high diagnostic accuracy with an area under the receiver operating characteristic curve of 0.92 and discriminated early-stage BCs at stage 0 from control. To test the possibility that these small RNAs are released from cancer cells, we next examined EVs from the serum of BC patients and controls. Two of the 3 candidate small RNAs were identified, and shown to be abundant in EVs of BC patients. Interestingly, these 2 small RNAs are also more abundantly detected in culture media of breast cancer cell lines (MCF-7 and MDA-MB-231). The same tendency in selective elevation seen in total serum, serum EV, and EV derived from cell culture media could indicate the efficiency of this model using total serum of patients. These findings indicate that small RNAs serve as significant biomarkers for BC detection.

Indexed as

Extracellular VesiclesAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCirculating MicroRNAFemaleHumansMiddle AgedSensitivity and SpecificityBiomarkers, TumorCirculating MicroRNAbiomarkerbreast cancerextracellular vesicleserumsmall RNA

Identifiers

PMID32215990
PMCPMC7293081
OpenAlexW3013549139

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.