Evidence map›Paper›PMID 33298243›Full record

ReviewBMB reports2021

Deciphering the molecular mechanisms of epitranscriptome regulation in cancer.

Seung Hun Han, Junho Choe

Open access · goldAbstract readReview
In one paragraph

Review in BMB reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Genetic variants reshape the mScientific reports · 2025
    Article
  2. Article
  3. Article
  4. The component of the mJournal of experimental & clinical cancer research : CR · 2021
    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

2 authors at 1 institution in 1 country.

Seung Hun HanDepartment of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763; Research Institute for Natural Sciences, Hanyang University, Seoul 04763; Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul 04763, Korea.
Junho ChoeDepartment of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763; Research Institute for Natural Sciences, Hanyang University, Seoul 04763; Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul 04763, Korea.
Hanyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-transcriptional regulation is an indispensable cellular mechanism of gene expression control that dictates various cellular functions and cell fate decisions. Recently, various chemical RNA modifications, termed the "epitranscriptome," have been proposed to play crucial roles in the regulation of post-transcriptional gene expression. To date, more than 170 RNA modifications have been identified in almost all types of RNA. As with DNA modification-mediated control of gene expression, regulation of gene expression via RNA modification is also accomplished by three groups of proteins: writers, readers, and erasers. Several emerging studies have revealed that dysregulation in RNA modification is closely associated with tumorigenesis. Notably, the molecular outcomes of specific RNA modifications often have opposite cellular consequences. In this review, we highlight the current progress in the elucidation of the mechanisms of cancer development due to chemical modifications of various RNA species. [BMB Reports 2021; 54(2): 89-97].

Indexed as

HumansNeoplasmsRNA, NeoplasmRNA Processing, Post-TranscriptionalTranscriptomeRNA, Neoplasm

Identifiers

PMID33298243
PMCPMC7907739
OpenAlexW3111892197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.