Evidence map›Paper›PMID 35711459›Full record

ReviewFrontiers in immunology2022

The Potential Value of m6A RNA Methylation in the Development of Cancers Focus on Malignant Glioma.

Fan Chen, Xuan Xie, Min Chao, Haiyan Cao, Liang Wang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. ALKBH5-Mediated mMolecular biotechnology · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
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 at 1 institution in 1 country.

Fan ChenDepartment of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China.
Xuan XieReproductive Medicine Center, Department of Gynecology & Obstetrics, Xijing Hospital of Fourth Military Medical University, Xi'an, China.
Min ChaoDepartment of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China.
Haiyan CaoDepartment of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China.
Liang WangDepartment of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China.
Air Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N6-methyladenosine (m6A) RNA methylation is an epigenetic modification that has emerged in the last few years and has received increasing attention as the most abundant internal RNA modification in eukaryotic cells. m6A modifications affect multiple aspects of RNA metabolism, and m6A methylation has been shown to play a critical role in the progression of multiple cancers through a variety of mechanisms. This review summarizes the mechanisms by which m6A RNA methylation induced peripheral cancer cell progression and its potential role in the infiltration of immune cell of the glioblastoma microenvironment and novel immunotherapy. Assessing the pattern of m6A modification in glioblastoma will contribute to improving our understanding of microenvironmental infiltration and novel immunotherapies, and help in developing immunotherapeutic strategies.

Indexed as

GlioblastomaGliomaAdenosineHumansMethylationRNATumor MicroenvironmentAdenosineRNAcancer progressionGBMimmunotherapym6Astem cells

Identifiers

PMID35711459
PMCPMC9196637
OpenAlexW4281775386

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.