Evidence map›Paper›PMID 28440450›Full record

ArticleMolecular medicine reports2017

Comprehensive analysis of a microRNA expression profile in pediatric medulloblastoma.

Junqiang Dai, Qiao Li, Zhitong Bing, Yinian Zhang, Liang Niu, Hang Yin, Guoqiang Yuan, Yawen Pan

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Developing a novel medulloblastoma diagnostic with miRNA biomarkers and machine learning.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
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  11. The Non-coding Side of Medulloblastoma.Frontiers in cell and developmental biology · 2020
    Review
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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 3 institutions in 1 country.

Junqiang DaiDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.
Qiao LiDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.
Zhitong BingInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, P.R. China.
Yinian ZhangDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.
Liang NiuDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.
Hang YinDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.
Guoqiang YuanInstitute of Neurology, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.
Yawen PanDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.
Lanzhou University · CNLanzhou University Second Hospital · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medulloblastoma is the most common malignant brain tumor of the central nervous system among children. Medulloblastoma is an embryonal tumor, of which little is known about the pathogenesis. Several efforts have been made to understand the molecular aspects of its tumorigenic pathways; however, these are poorly understood. microRNA (miRNA), a type of non‑coding short RNA, has been proven to be associated with a number of physiological processes and pathological processes of serious diseases, including brain tumors. Differentially expressed miRNAs serve an important role in numerous types of malignancy. The present study aims to define a differentially expressed set of miRNAs in medulloblastoma tumor tissue, compared with normal samples, to improve the understanding of the tumorigenesis. It was identified that 22 miRNAs were upregulated and 26 miRNAs were downregulated in the tumor tissue compared with the normal group. However, when the medulloblastoma tissue was compared with normal cerebellum tissue, 9 miRNAs were identified to be up or downregulated in the tumor samples. The differentially expressed miRNAs in the tumor tissue were identified in order to clarify the networks and pathways of tumorigenesis using Ingenuity Pathway Analysis. Subsequently, key regulatory genes associated with the development of medulloblastoma were identified, including tumor protein p53, insulin like growth factor 1 receptor, argonaute 2, mitogen‑activated protein kinases 1 and 3, sirtuin 1 and Y box binding protein 1.

Indexed as

TranscriptomeAge FactorsCase-Control StudiesChildChild, PreschoolComputational BiologyDatabases, Nucleic AcidGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMedulloblastomaMicroRNAsMicroRNAs

Identifiers

PMID28440450
PMCPMC5436210
OpenAlexW2605934710

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.