Evidence map›Paper›PMID 24938872›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

MEK inhibitor effective against proliferation in breast cancer cell.

Yan Zhou, Hai-Yan Hu, Wei Meng, Ling Jiang, Xing Zhang, Jing-Jing Sha, Zhigang Lu, Yang Yao

Abstract read
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  8. Role of MEK1 in TLR4 Mediated Signaling.Journal of cell signaling · 2017
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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 4 institutions in 1 country.

Yan ZhouOncology Department of Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, No 600 Yishan Road Xuhui, Shanghai City, China, 200233.
Hai-Yan Hu
Wei Meng
Ling Jiang
Xing Zhang
Jing-Jing Sha
Zhigang Lu
Yang Yao
Shanghai Sixth People's Hospital · CNSouthern Medical University · CNShanghai Jiao Tong University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The targeted small-molecule drug AZD6244 is an allosteric, ATP-noncompetitive inhibitor of MEK1/2 that has shown activity against several malignant tumors. Here, we report that AZD6244 repressed cell growth and induced apoptosis and G1-phase arrest in the breast cancer cell lines MDA-MB-231 and HCC1937. Using microRNA (miRNA) arrays and quantitative RT-PCR, we found that miR-203 was up-regulated after AZD6244 treatment. In accordance with bioinformatics and luciferase activity analyses, CUL1 was found to be the direct target of miR-203. Furthermore, miR-203 inhibition and CUL1 overexpression reversed the cytotoxicity of AZD6244 on the MDA-MB-231 and HCC1937 cells. Collectively, our data indicate that miR-203 mediates the AZD6244-induced cytotoxicity of breast cancer cells and that the MEK/ERK/miR-203/CUL1 signaling pathway may participate in this process.

Indexed as

ApoptosisBenzimidazolesBreast NeoplasmsCell Line, TumorCell ProliferationCell SurvivalCullin ProteinsFemaleG1 Phase Cell Cycle CheckpointsGene Expression Regulation, NeoplasticHumansMicroRNAsMitogen-Activated Protein KinasesOligonucleotide Array Sequence AnalysisProtein Kinase InhibitorsReverse Transcriptase Polymerase Chain ReactionAZD 6244BenzimidazolesCullin 1Cullin ProteinsMicroRNAsMIRN203 microRNA, humanMitogen-Activated Protein KinasesProtein Kinase Inhibitors

Identifiers

PMID24938872
OpenAlexW2041118166

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.