Evidence map›Paper›PMID 40469294›Full record

ReviewFrontiers in immunology2025

The role of RNA methylation in glioma progression: mechanisms, diagnostic implications, and therapeutic value.

Shao-Ze Zhang, Shao-Yan Liu, Meng-Die Cheng, Yin-Feng Zhang, Jia-Wei Tian

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. RNA 5-Methylcytosine Modification in Myocardial Fibrosis.Reviews in cardiovascular medicine · 2025
    Review
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

5 authors.

Shao-Ze ZhangDepartment of Emergency Internal Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, China.
Shao-Yan LiuDepartment of Hospital Infection of Management Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Meng-Die ChengDepartment of Emergency Internal Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, China.
Yin-Feng ZhangInstitute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China.
Jia-Wei TianDepartment of Emergency Internal Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma represents a highly lethal form of malignant tumour, with RNA methylation emerging as a critical regulator of its oncogenesis and progression. As a prevalent post-translational modification, methylation influences various biological functions, particularly RNA processing, by modulating splicing, transport, and degradation of both mRNAs and noncoding RNAs. Key methylation types such as N6-methyladenosine (m6A), N5-methylcytosine (m5C), N7-methylguanosine (m7G), and N1-methyladenosine (m1A) are dynamically regulated by specific enzymes known as writers, erasers, and readers. Dysregulation of these modifications contributes to glioma pathophysiology, while offering potential biomarkers for early detection and promising therapeutic targets. This review explores the mechanistic roles of RNA methylation in glioma and highlights its translational implications, aiming to advance molecular diagnostics and targeted interventions in glioma treatment.

Indexed as

Brain NeoplasmsGliomaRNA Processing, Post-TranscriptionalAnimalsBiomarkers, TumorDisease ProgressionGene Expression Regulation, NeoplasticHumansMethylationRNA MethylationBiomarkers, Tumorepitranscriptomem1Am5CM6Am7G

Identifiers

PMID40469294
PMCPMC12133848

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.