Evidence map›Paper›PMID 30989460›Full record

ArticleBreast cancer research and treatment2019

miR-106b-5p and miR-17-5p could predict recurrence and progression in breast ductal carcinoma in situ based on the transforming growth factor-beta pathway.

Jieun Lee, Hee Eun Kim, Young-Seok Song, Eun Yoon Cho, Ahwon Lee

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  3. Review
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  5. Article
  6. miR-17-5p slows progression of hepatocellular carcinoma by downregulating TGFβR2.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Crucial Roles of miR-625 in Human Cancer.Frontiers in medicine · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Regulatory Mechanism of MicroRNA Expression in Cancer.International journal of molecular sciences · 2020
    Review
  16. Article
  17. Article
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

5 authors at 2 institutions in 1 country.

Jieun LeeDivision of Medical Oncology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hee Eun KimDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Korea.
Young-Seok SongDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Korea.
Eun Yoon ChoDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ahwon LeeDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Korea. klee@catholic.ac.kr.ORCID http://orcid.org/0000-0002-2523-9531
Catholic University of Korea · KRSamsung Medical Center · KR

Funding

National Research Foundation of Korea NRF-2017R1D1A1B03034165
6 · The paper itself

Abstract

purposeDuctal carcinoma in situ (DCIS) is well-known precursor of invasive ductal carcinoma (IDC). Parts of patients show recurrence as DCIS or IDC after local treatment, but there are no established markers predicting relapse. We analyzed changes in miRNA and oncogene expression during DCIS progression/evolution to identify potential markers predicting recurrence.

methodsForty archival tissues diagnosed as primary or recurrent DCIS and DCIS adjacent to IDC were analyzed. MiRNA hierarchical clustering showed up-regulation of miR-17-5p and miR-106b-5p in recurrent DCIS and DCIS adjacent to IDC. Target genes were predicted based on pre-formed miRNA databases and PanCancer Pathway panel. MiRNAs were transfected into MCF-10A and MCF-7 cells; western blot analysis was performed with MCF-7 cell line to evaluate the effects on TGF-β downstream pathway.

resultsmiRNA hierarchical clustering showed 17 dysregulated miRNAs, including miR-17-5p and miR-106b-5p. Based on miRNA database and nCounter Pancancer pathway analysis, TGFβRII was selected as target of miR-106b-5p and miR-17-5p. MiR-106b-5p- and miR-17-5p-transfected MCF-7 cells showed decreased expression of TGFβRII, especially in cells transfected with both miRNAs.

conclusionmiR-106b-5p and miR-17-5p might have a role in breast cancer recurrence and progression by suppressing TGF-β activity, leading to early breast cancer carcinogenesis.

Indexed as

AdultAgedBreast NeoplasmsCarcinoma, Ductal, BreastCell Line, TumorDisease ProgressionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroRNAsMiddle AgedNeoplasm Recurrence, LocalRNA InterferenceSignal TransductionTranscriptomeMicroRNAsMIRN106 microRNA, humanMIRN17 microRNA, humanTransforming Growth Factor betaDCISmiR-106bmiR-17RecurrenceTGF-β

Identifiers

PMID30989460
PMCPMC6548759
OpenAlexW2937808286

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LicenceCC BY
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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.