Evidence map›Paper›PMID 32309389›Full record

ArticleAnnals of translational medicine2020

A predictive analysis approach for paediatric and adult high-grade glioma: miRNAs and network insight.

Anqi Liu, Hengyu Zhao, Banghao Sun, Xue Han, Danyang Zhou, Zhongqi Cui, Xiaoyu Ma, Jianan Zhang, Lijie Yuan

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Anqi LiuDepartment of Biochemistry and Molecular Biology, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Hengyu ZhaoDepartment of Imaging, Xiamen University Affiliated Cardiovascular Hospital, Xiamen 361010, China.
Banghao SunDepartment of Biochemistry and Molecular Biology, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Xue HanDepartment of Biochemistry and Molecular Biology, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Danyang ZhouDepartment of Biochemistry and Molecular Biology, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Zhongqi CuiDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai 200072, China.
Xiaoyu MaBeijing Chaoyang District Taiyanggong Community Health Service Center, Beijing 100028, China.
Jianan ZhangDepartment of Biochemistry and Molecular Biology, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Lijie YuanDepartment of Biochemistry and Molecular Biology, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Harbin Medical University · CNBeijing Chaoyang Emergency Medical Center · CNFirst Affiliated Hospital of Xiamen University · CNTongji University · CNXiamen Medical College

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain tumours are the most common solid tumour in children and are a cause of mortality in adults. Most cases of brain tumour-related death are attributed to glioblastoma (GBM), with an elevated rate for high-grade glioma (HGG). Showing strong heterogeneity, the lesion location, molecule expression and type of HGG differ between adults and children. However, with regard to pathogenesis, brain tumours are expected to have the same underlying molecular processes.

methodsIn this study, we obtained data from the Gene Expression Omnibus (GEO) database to analyse molecular expression in HGG between adults and children. The same and different mutations were identified in these groups, and the genes involved were compared using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Molecular analysis revealed the same trend of differences between children and adults, which was verified in The Cancer Genome Atlas (TCGA).

resultsA total of 12 microarrays including 455 HGG patients were screened. Through a rigorous intersecting process, we identified miR-10a, miR-10b, and miR-139 as having common differences, as well as 6 target genes, such as

conclusionsWe identified that these key molecules are involved in development and progression of HGG between adults and children. The findings provide a comprehensive description of the similarities in advanced diseases between adults and children and molecular diagnostic directions for precision small-molecule medicine to treat HGG in different age populations.

Indexed as

high-grade gliomanon-coding rnas and network insightPediatric diagnosis

Identifiers

PMID32309389
PMCPMC7154480
OpenAlexW3003513344

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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.