Evidence map›Paper›PMID 28389653›Full record

ArticleScientific reports2017

Identification of IGF-1-enhanced cytokine expressions targeted by miR-181d in glioblastomas via an integrative miRNA/mRNA regulatory network analysis.

Kuo-Hao Ho, Peng-Hsu Chen, Edward Hsi, Chwen-Ming Shih, Wei-Chiao Chang, Chia-Hsiung Cheng, Cheng-Wei Lin, Ku-Chung Chen

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Kuo-Hao HoDepartment of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Peng-Hsu ChenGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Edward HsiGraduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.ORCID http://orcid.org/0000-0002-8272-6707
Chwen-Ming ShihGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Wei-Chiao ChangDepartment of Clinical Pharmacy, Master Program for Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Chia-Hsiung ChengGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.ORCID http://orcid.org/0000-0003-0307-9650
Cheng-Wei LinGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Ku-Chung ChenGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan. kuchung@tmu.edu.tw.ORCID http://orcid.org/0000-0002-4696-3924

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The insulin-like growth factor (IGF)-1 signaling is relevant in regulating cell growth and cytokine secretions by glioblastomas. MicroRNAs determine the cell fate in glioblastomas. However, relationships between IGF-1 signaling and miRNAs in glioblastoma pathogenesis are still unclear. Our aim was to validate the IGF-1-mediated mRNA/miRNA regulatory network in glioblastomas. Using in silico analyses of mRNA array and RNA sequencing data from The Cancer Genome Atlas (TCGA), we identified 32 core enrichment genes that were highly associated with IGF-1-promoted cytokine-cytokine receptor interactions. To investigate the IGF-1-downregulated miRNA signature, microarray-based approaches with IGF-1-treated U87-MG cells and array data in TCGA were used. Four miRNAs, including microRNA (miR)-9-5p, miR-9-3p, miR-181d, and miR-130b, exhibited an inverse correlation with IGF-1 levels. The miR-181d, that targeted the most IGF-1-related cytokine genes, was significantly reduced in IGF-1-treated glioma cells. Statistical models incorporating both high-IGF-1 and low-miR-181d statuses better predicted poor patient survival, and can be used as an independent prognostic factor in glioblastomas. The C-C chemokine receptor type 1 (CCR1) and interleukin (IL)-1b demonstrated inverse correlations with miR-181d levels and associations with patient survival. miR-181d significantly attenuated IGF-1-upregulated CCR1 and IL-1b gene expressions. These findings demonstrate a distinct role for IGF-1 signaling in glioma progression via miR-181d/cytokine networks.

Indexed as

Gene Expression Regulation, NeoplasticRNA Interference3' Untranslated RegionsCell Line, TumorComputational BiologyCytokinesGene Expression ProfilingGene Regulatory NetworksGlioblastomaHumansInsulin-Like Growth Factor IMicroRNAsPrognosisRNA, MessengerTranscriptome3' Untranslated RegionsCytokinesIGF1 protein, humanInsulin-Like Growth Factor IMicroRNAsMIrn181 microRNA, humanRNA, Messenger

Identifiers

PMID28389653
PMCPMC5429683

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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.