Evidence map›Paper›PMID 26528854›Full record

ArticleOncotarget2015

Foxo3a-mediated overexpression of microRNA-622 suppresses tumor metastasis by repressing hypoxia-inducible factor-1α in ERK-responsive lung cancer.

Chun-Wen Cheng, Po-Ming Chen, Yi-Hsien Hsieh, Chung-Chih Weng, Chia-Wei Chang, Chung-Chin Yao, Ling-Yueh Hu, Pei-Ei Wu, Chen-Yang Shen

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 56 citations in OpenAlex.

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  13. The interplay between HIF-1α and noncoding RNAs in cancer.Journal of experimental & clinical cancer research : CR · 2020
    Review
  14. Article
  15. Article
  16. Review
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  18. Reciprocal regulations between miRNAs and HIF-1α in human cancers.Cellular and molecular life sciences : CMLS · 2019
    Review
  19. Article
  20. 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

9 authors at 4 institutions in 1 country.

Chun-Wen ChengInstitute of Biochemistry, Microbiology and Immunology, Chung Shan Medical University, Taichung, Taiwan.
Po-Ming ChenInstitute of Biochemistry, Microbiology and Immunology, Chung Shan Medical University, Taichung, Taiwan.
Yi-Hsien HsiehInstitute of Biochemistry, Microbiology and Immunology, Chung Shan Medical University, Taichung, Taiwan.
Chung-Chih WengInstitute of Biochemistry, Microbiology and Immunology, Chung Shan Medical University, Taichung, Taiwan.
Chia-Wei ChangInstitute of Biochemistry, Microbiology and Immunology, Chung Shan Medical University, Taichung, Taiwan.
Chung-Chin YaoDepartment of Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan.
Ling-Yueh HuInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Pei-Ei WuInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Chen-Yang ShenInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Chung Shan Medical University · TWChung Shan Medical University Hospital · TWInstitute of Biomedical Sciences, Academia Sinica · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic spread of cancer cells portends a poor prognosis and mortality for lung cancer patients. Hypoxia-inducible factor-1α (HIF-1α) enhances tumor cell motility by activating the epithelial-to-mesenchymal transition (EMT), which is considered a prerequisite for metastasis. Recent studies of microRNA involvement in cancer invasion and metastasis have highlighted the role of such RNAs in tumor development. However, little work has been done to identify tumor suppressor microRNAs that target HIF-1α to down-modulate the EMT and thereby counteract the aggressiveness and metastasis of lung cancer cells. Here, we identified the 3'-untranslated region of HIF-1α mRNA as a target of miR-622 and established that miR-622-mediated down-modulation of HIF-1α correlates with decreased levels of mesenchymal proteins, including Snail, β-catenin, and vimentin. Functional analyses revealed that increased miR-622 expression inhibited lung cancer cell migration and invasion in vitro. miR-622 also inhibited the genesis of metastatic lung nodules as demonstrated in a lung cancer xenograft model in which nude mice were transplanted with A549 cells expressing miR-622. Mechanistic analyses showed that overexpression of EGF decreased the miR-622 level in A549 cells, and this reduction could be rescued by administrating U0126, an inhibitor of ERK. Moreover, miR-622 overexpression mediated by the transcription factor FOXO3a decreased the invasiveness of lung tumor cells by inhibiting HIF-1α via inactivation of ERK signaling in U0126-treated A549 cells. These findings highlight the pivotal role of the FOXO3a/miR-622 axis in inhibiting HIF-1α to interfere with tumor metastasis, and this information may contribute to development of novel therapeutic strategies for treating aggressive lung cancer.

Indexed as

Cell Movement3' Untranslated RegionsAnimalsAntineoplastic AgentsBinding SitesCell Line, TumorEnzyme ActivationEpithelial-Mesenchymal TransitionExtracellular Signal-Regulated MAP KinasesFemaleForkhead Box Protein O3Forkhead Transcription FactorsGene Expression Regulation, NeoplasticHeterograftsHumansHypoxia-Inducible Factor 1, alpha Subunit3' Untranslated RegionsAntineoplastic AgentsExtracellular Signal-Regulated MAP KinasesForkhead Box Protein O3Forkhead Transcription FactorsFOXO3 protein, humanHIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitMicroRNAsMIRN622 microRNA, humanProtein Kinase InhibitorsEMTFOXO3aHIF-1αlung cancermiR-622

Identifiers

PMID26528854
PMCPMC4792553
OpenAlexW2220340796

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.