Evidence map›Paper›PMID 23516540›Full record

ArticlePloS one2013

Beta-elemene blocks epithelial-mesenchymal transition in human breast cancer cell line MCF-7 through Smad3-mediated down-regulation of nuclear transcription factors.

Xian Zhang, Yinghua Li, Yang Zhang, Jincheng Song, Qimin Wang, Luping Zheng, Dan Liu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
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  8. The Antitumor Efficacy ofBioMed research international · 2020
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  19. Inhibitory effect of β-elemene on human breast cancer cells.International journal of clinical and experimental pathology · 2014
    Article
  20. 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

7 authors at 1 institution in 1 country.

Xian ZhangDepartment of Oncology, the Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Yinghua Li
Yang Zhang
Jincheng Song
Qimin Wang
Luping Zheng
Dan Liu
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) is the first step required for breast cancer to initiate metastasis. However, the potential of drugs to block and reverse the EMT process are not well explored. In the present study, we investigated the inhibitory effect of beta-elemene (ELE), an active component of a natural plant-derived anti-neoplastic agent in an established EMT model mediated by transforming growth factor-beta1 (TGF-β1). We found that ELE (40 µg/ml ) blocked the TGF-β1-induced phenotypic transition in the human breast cancer cell line MCF-7. ELE was able to inhibit TGF-β1-mediated upregulation of mRNA and protein expression of nuclear transcription factors (SNAI1, SNAI2, TWIST and SIP1), potentially through decreasing the expression and phosphorylation of Smad3, a central protein mediating the TGF-β1 signalling pathway. These findings suggest a potential therapeutic benefit of ELE in treating basal-like breast cancer.

Indexed as

Antineoplastic AgentsBreast NeoplasmsCell MovementDown-RegulationEpithelial-Mesenchymal TransitionHumansMCF-7 CellsNeoplasm InvasivenessPhenotypePhosphorylationSesquiterpenessnRNP Core ProteinsTranscription FactorsTransforming Growth Factor beta1Up-RegulationAntineoplastic Agentsbeta-elemeneSesquiterpenessnRNP Core ProteinsSNRPD3 protein, humanTranscription FactorsTransforming Growth Factor beta1

Identifiers

PMID23516540
PMCPMC3597725
OpenAlexW1985303190

What OpenQuestion holds

Textmetadata
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.