Evidence map›Paper›PMID 36718644›Full record

ArticleActa biochimica et biophysica Sinica2023

The miR-27a-3p/FTO axis modifies hypoxia-induced malignant behaviors of glioma cells.

Peng Du, Li Meng, Xinbin Liao, Yi Liu, Xin Mo, Mengqi Gong, Yiwei Liao

Open access · diamondAbstract read
In one paragraph

Article in Acta biochimica et biophysica Sinica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. MiR-27a-3p protects against NaAsOScientific reports · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Small molecule inhibitors targeting mJournal of hematology & oncology · 2024
    Review
  11. Review
  12. 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

7 authors at 2 institutions in 1 country.

Peng DuNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China.
Li MengDepartment of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China.
Xinbin LiaoDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, China.
Yi LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, China.
Xin MoDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, China.
Mengqi GongDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, China.
Yiwei LiaoNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China.
Xiangya Hospital Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is one of the most malignant types of central nervous system (CNS) tumors. N6-methyladenine (m6A) RNA modification is a main type of RNA modification in eukaryotic cells. In this study, we find that the m6A RNA methylation eraser FTO is dramatically downregulated in glioma samples and cell lines, particularly in intermediate and core regions and hypoxia-challenged glioma cells.

Indexed as

GliomaMicroRNAsAlpha-Ketoglutarate-Dependent Dioxygenase FTOCell LineCell Line, TumorCell ProliferationDown-RegulationHumansHypoxiaAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanMicroRNAsFTOglioblastomahypoxiam6A RNA methylationmiR-27a-3p

Identifiers

PMID36718644
PMCPMC10157519
OpenAlexW4318591594

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.