Evidence map›Paper›PMID 27504971›Full record

ArticlePloS one2016

miR-4443 Participates in the Malignancy of Breast Cancer.

Xiu Chen, Shan-Liang Zhong, Peng Lu, Dan-Dan Wang, Si-Ying Zhou, Su-Jin Yang, Hong-Yu Shen, Lei Zhang, Xiao-Hui Zhang, Jian-Hua Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.1field-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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  3. Microrna Expression inMicroRNA (Shariqah, United Arab Emirates) · 2026
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  16. [MiR-4443 promotes migration and invasion of breast cancer cells by inhibiting PEBP1 expression].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
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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

11 authors at 2 institutions in 1 country.

Xiu ChenThe Fourth Clinical School of Nanjing Medical University, Nanjing, China.
Shan-Liang ZhongCenter of Clinical Laboratory Science, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Peng LuSchool of Public Health Nanjing Medical University, Nanjing, China.
Dan-Dan WangDepartment of General Surgery, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Si-Ying ZhouDepartment of General Surgery, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Su-Jin YangDepartment of General Surgery, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Hong-Yu ShenDepartment of General Surgery, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Lei ZhangDepartment of General Surgery, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Xiao-Hui ZhangCenter of Clinical Laboratory Science, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Jian-Hua ZhaoCenter of Clinical Laboratory Science, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Jin-Hai TangDepartment of General Surgery, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Jiangsu Cancer Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChemo-resistance is the leading cause of failure in cancer therapy, however, much remains to be understood about the intrinsic mechanisms. In the present study, we discovered the novel miR-4443 that regulated malignancy of breast cancer both in vitro and in vivo.

methodsWe examined the expression of miR-4443 in MDA-MB-231/S and MDA-MB-231 Epirubicin-resistant cell lines with 76 breast cancer formalin-fixed paraffin-embedded tissues by real-time PCR. Also, we investigated the loss- and gain-functions of miR-4443 by MTT assay and flow cytometry. Furthermore, we detected miR-4443 mediated tissue inhibitor of metalloproteinase 2 expression in cells by TargetScan, RT-qPCR and western blot.

resultsWe identified the up-regulated expression of miR-4443 in Epi-resistant cell lines versus MDA-MB-231/S cell(Epi versus S) and in post-chemotherapy FFPE tissues, along with statistically differential expressions in PR(partial response) versus SD(stable disease)/PD(progressive disease) patients. Overexpression of miR-4443 increased the IC50 value of Epi for the target cells transfected, while inhibition of miR-4443 could restored sensitivity of the target cells to Epi. Besides, down-regulation of endogenous miR-4443 by miRNA-inhibitors significantly enhanced Epi-induced apoptosis while up-regulation of miR-4443 by miRNA-mimics lead to less Epi-induced apoptotic cells. Consequently, changes in TIMP2 mRNA and protein expression revealed that miR-4443 mimics suppressed expression of TIMP2 and induced migration in breast cancer cells. Furthermore, TIMP2 expression associated with better prognosis(HR = 0.721, 95%CI: 0.529-0.983).

conclusionsWe revealed that miR-4443 induced malignancy of breast cancer mainly in chemo-resistance aspect for the very first time, providing a novel biomarker in breast cancer diagnosis and therapy.

Indexed as

ApoptosisBiomarkers, TumorBreast NeoplasmsCell Line, TumorDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsMiddle AgedRetrospective StudiesSurvival AnalysisTissue Inhibitor of Metalloproteinase-2Biomarkers, TumorMicroRNAsMIRN-4443 microRNA, humanTIMP2 protein, humanTissue Inhibitor of Metalloproteinase-2

Identifiers

PMID27504971
PMCPMC4978484
OpenAlexW2513021971

What OpenQuestion holds

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LicenceCC BY
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.