Evidence map›Paper›PMID 29188531›Full record

ArticleMolecular and cellular biochemistry2018

MiR-519d-3p suppresses breast cancer cell growth and motility via targeting LIM domain kinase 1.

Dengfeng Li, Hongming Song, Tianqi Wu, Dan Xie, Jiashu Hu, Junyong Zhao, Qiang Shen, Lin Fang

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular and cellular biochemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Dengfeng LiDivision of General Surgery, Department of Thyroid and Breast, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
Hongming SongDivision of General Surgery, Department of Thyroid and Breast, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
Tianqi WuDivision of General Surgery, Department of Thyroid and Breast, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
Dan XieDivision of General Surgery, Department of Thyroid and Breast, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
Jiashu HuDivision of General Surgery, Department of Thyroid and Breast, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
Junyong ZhaoDivision of General Surgery, Department of Thyroid and Breast, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
Qiang ShenDivision of Cancer Prevention and Population Science, Department of Clinical Cancer Prevention, The University of Texas M.D. Anderson Cancer Center, Houston, TX, 77030, USA. qshen@mdanderson.org.ORCID http://orcid.org/0000-0002-1491-5434
Lin FangDivision of General Surgery, Department of Thyroid and Breast, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Middle Road, Shanghai, 200072, People's Republic of China. fanglin2017@126.com.
Tongji University · CNThe University of Texas MD Anderson Cancer Center · US

Funding

Shanghai Municipal Health Bureau of Shanghai No. 201640097United States National Institutes of Health P30 CA016672
6 · The paper itself

Abstract

Breast cancer is the most common female cancer in women, and its estrogen receptor (ER)-negative subtype (ENBC) and triple-negative subtype (TNBC) have unfavorable prognosis in comparison with ER-positive subtype. MiRNAs are small noncoding RNAs that bind to the 3'-UTR region of targeting mRNAs to regulate gene expression. Mir-519d-3p was found to be associated with breast cancer for its potential role in proliferation and metastasis. To explore its potential role and mechanism of miR-519d-3p in breast carcinogenesis, we determined whether miR-519d-3p regulates breast cancer cell proliferation and motility by performing wound-healing assays and migration-invasion assays. We found that miR-519d-3p significantly inhibits proliferation and motility of ENBC and TNBC cells. Overexpression of miR-519d-3p arrested breast cancer cells in the G0/G1 phase and reduced the expression of CDK4, 6/Cyclin D1, and CDK2/Cyclin E1. It was reported that miR-519d-3p or miR-519d-3p expression was associated with cancer metastasis and clinical staging. Since LIM domain kinase 1 (LIMK1) was highly expressed in breast cancer and a major regulator of breast cancer growth and metastasis, we further demonstrated that LIMK1 is a potential target of miR-519d-3p by dual-luciferase report assay. Mir-519d-3p decreases LIMK1 expression at mRNA and protein levels, and the protein level and phosphorylation of cofilin 1 (CFL1), one of the key downstream targets of LIMK1. Our findings suggest that miR-519d-3p regulates the LIMK1/CFL1 pathway in breast cancer and this new venue could be targeted for future breast cancer therapy.

Indexed as

Cell MovementBreast NeoplasmsCell Line, TumorFemaleHEK293 CellsHumansLim KinasesMicroRNAsNeoplasm ProteinsRNA, NeoplasmLIMK1 protein, humanLim KinasesMicroRNAsMIRN519 microRNA, humanNeoplasm ProteinsRNA, NeoplasmBreast cancerCofilin 1LIM domain kinase 1MetastasisMiR-519d-3pProliferation

Identifiers

PMID29188531
OpenAlexW2770070264

What OpenQuestion holds

Textmetadata
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.