Evidence map›Paper›PMID 35309147›Full record

ArticleFrontiers in genetics2022

Genome-Wide Analysis for the Regulation of Gene Alternative Splicing by DNA Methylation Level in Glioma and its Prognostic Implications.

Zeyuan Yang, Yijie He, Yongheng Wang, Lin Huang, Yaqin Tang, Yue He, Yihan Chen, Zhijie Han

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 60% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Zeyuan YangDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Yijie HeDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Yongheng WangDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Lin HuangDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Yaqin TangDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Yue HeGroup of Mathematics Education Teaching and Research, Chongqing Fudan Secondary School, Chongqing, China.
Yihan ChenDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Zhijie HanDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is a primary high malignant intracranial tumor with poorly understood molecular mechanisms. Previous studies found that both DNA methylation modification and gene alternative splicing (AS) play a key role in tumorigenesis of glioma, and there is an obvious regulatory relationship between them. However, to date, no comprehensive study has been performed to analyze the influence of DNA methylation level on gene AS in glioma on a genome-wide scale. Here, we performed this study by integrating DNA methylation, gene expression, AS, disease risk methylation at position, and clinical data from 537 low-grade glioma (LGG) and glioblastoma (GBM) individuals. We first conducted a differential analysis of AS events and DNA methylation positions between LGG and GBM subjects, respectively. Then, we evaluated the influence of differential methylation positions on differential AS events. Further, Fisher's exact test was used to verify our findings and identify potential key genes in glioma. Finally, we performed a series of analyses to investigate influence of these genes on the clinical prognosis of glioma. In total, we identified 130 glioma-related genes whose AS significantly affected by DNA methylation level. Eleven of them play an important role in glioma prognosis. In short, these results will help to better understand the pathogenesis of glioma.

Indexed as

alternative splicingclinical prognosisgliomamethylation modificationTCGA

Identifiers

PMID35309147
PMCPMC8931337
OpenAlexW4214823596

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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.