Evidence map›Paper›PMID 35614925›Full record

ArticleFrontiers in neurology2022

Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas.

Zhen Chen, Zhe Zhang, Wei Ding, Jie-Hui Zhang, Zi-Long Tan, Yu-Ran Mei, Wei He, Xiao-Jing Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. 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
3.6field-weighted citation impact, top 6% 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, 41 citations in OpenAlex.

  1. Article
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  3. RNA modifications and their role in gene expression.Frontiers in molecular biosciences · 2025
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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.

Zhen ChenDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Zhe ZhangDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Wei DingYifeng County People's Hospital, Yichun City, China.
Jie-Hui ZhangYifeng County People's Hospital, Yichun City, China.
Zi-Long TanDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yu-Ran MeiDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Wei HeDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Xiao-Jing WangDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Nanchang University · CNFirst Affiliated Hospital of Anhui Medical University · CNSecond Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are the most frequent primary malignant brain tumors of the central nervous system, causing significant impairment and death. There is mounting evidence that N7 methylguanosine (m7G) RNA dysmethylation plays a significant role in the development and progression of cancer. However, the expression patterns and function of the m7G RNA methylation regulator in gliomas are yet unknown. The goal of this study was to examine the expression patterns of 31 critical regulators linked with m7G RNA methylation and their prognostic significance in gliomas. To begin, we systematically analyzed patient clinical and prognostic data and mRNA gene expression data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. We found that 17 key regulators of m7G RNA methylation showed significantly higher expression levels in gliomas. We then divided the sample into two subgroups by consensus clustering. Cluster 2 had a poorer prognosis than cluster 1 and was associated with a higher histological grade. In addition, cluster 2 was significantly enriched for cancer-related pathways. Based on this discovery, we developed a risk model involving three m7G methylation regulators. Patients were divided into high-risk and low-risk groups based on risk scores. Overall survival (OS) was significantly lower in the high-risk group than in the low-risk group. Further analysis showed that the risk score was an independent prognostic factor for gliomas.

Indexed as

bioinformaticsepigeneticsgliomasN7-methylguanosineprognostic signature

Identifiers

PMID35614925
PMCPMC9124973
OpenAlexW4229377556

What OpenQuestion holds

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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.