Evidence map›Paper›PMID 24194606›Full record

ArticleNucleic acids research2013

Comprehensive analysis of the functional microRNA-mRNA regulatory network identifies miRNA signatures associated with glioma malignant progression.

Yongsheng Li, Juan Xu, Hong Chen, Jing Bai, Shengli Li, Zheng Zhao, Tingting Shao, Tao Jiang, Huan Ren, Chunsheng Kang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

67 citing papers in PubMed, 116 citations in OpenAlex.

  1. Trial
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  3. Hessian RegularizedInterdisciplinary sciences, computational life sciences · 2024
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  15. COVID-19: fighting the invisible enemy with microRNAs.Expert review of anti-infective therapy · 2021
    Review
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7 more citing papers are in PubMed but not listed here.

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 3 institutions in 2 countries.

Yongsheng LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150080, China, Department of Neurosurgery, Tiantan Hospital, Capital Medical University, Beijing 100050, China, College of Fundamental Medical Sciences, Harbin Medical University, Harbin 150080, China and Department of Neurosurgery, Tianjin Medical University General Hospital, Laboratory of Neuro-Oncology, Tianjin Neurological Institute, Laboratory of Neurotrauma, Variation and Regeneration, Ministry of Education and Tianjin Municipal Government, Tianjin 300052, China.
Juan Xu
Hong Chen
Jing Bai
Shengli Li
Zheng Zhao
Tingting Shao
Tao Jiang
Huan Ren
Chunsheng Kang
Xia Li
Harbin Medical University · CNCapital Medical University · CNTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is the most common and fatal primary brain tumour with poor prognosis; however, the functional roles of miRNAs in glioma malignant progression are insufficiently understood. Here, we used an integrated approach to identify miRNA functional targets during glioma malignant progression by combining the paired expression profiles of miRNAs and mRNAs across 160 Chinese glioma patients, and further constructed the functional miRNA-mRNA regulatory network. As a result, most tumour-suppressive miRNAs in glioma progression were newly discovered, whose functions were widely involved in gliomagenesis. Moreover, three miRNA signatures, with different combinations of hub miRNAs (regulations≥30) were constructed, which could independently predict the survival of patients with all gliomas, high-grade glioma and glioblastoma. Our network-based method increased the ability to identify the prognostic biomarkers, when compared with the traditional method and random conditions. Hsa-miR-524-5p and hsa-miR-628-5p, shared by these three signatures, acted as protective factors and their expression decreased gradually during glioma progression. Functional analysis of these miRNA signatures highlighted their critical roles in cell cycle and cell proliferation in glioblastoma malignant progression, especially hsa-miR-524-5p and hsa-miR-628-5p exhibited dominant regulatory activities. Therefore, network-based biomarkers are expected to be more effective and provide deep insights into the molecular mechanism of glioma malignant progression.

Indexed as

Gene Regulatory NetworksAdolescentAdultAgedBiomarkers, TumorBrain NeoplasmsChildDisease ProgressionFemaleGene Expression ProfilingGenomicsGlioblastomaGliomaHumansMaleMicroRNAsBiomarkers, TumorMicroRNAsRNA, Messenger

Identifiers

PMID24194606
PMCPMC3905890
OpenAlexW2135059404

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.