Evidence map›Paper›PMID 36834627›Full record

ReviewInternational journal of molecular sciences2023

Circular RNAs and Untranslated Regions in Acute Myeloid Leukemia.

Shih-Chia Yeh, Faith J F Cheong, Yvonne Tay

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. Osteosarcoma in a ceRNET perspective.Journal of biomedical science · 2024
    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

3 authors at 2 institutions in 1 country.

Shih-Chia YehCancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore.
Faith J F CheongCancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore.
Yvonne TayCancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore.
National University of Singapore · SGNational University Cancer Institute, Singapore · SG

Funding

NMRC OF IRGs NMRC/ORIRG/MOH-000380, MOH-000923
6 · The paper itself

Abstract

Before the advent of next-generation sequencing, research on acute myeloid leukemia (AML) mostly centered on protein-coding genes. In recent years, breakthroughs in RNA sequencing technologies and whole transcriptome analysis have led to the discovery that approximately 97.5% of the human genome is transcribed into non-coding RNAs (ncRNAs). This paradigm shift has led to an explosion of research interest in different classes of non-coding RNAs, such as circular RNAs (circRNAs) as well as non-coding untranslated regions (UTRs) of protein-coding messenger RNAs. The critical roles of circRNAs and UTRs in AML pathogenesis have become increasingly apparent. In this review, we discuss the cellular mechanisms of circRNAs and summarize recent studies that reveal their biological roles in AML. Furthermore, we also review the contribution of 3'UTRs to disease progression. Finally, we discuss the potential of circRNAs and 3'UTRs as new biomarkers for disease stratification and/or the prediction of treatment response and targets for the development of RNA-directed therapeutic applications.

Indexed as

Leukemia, Myeloid, AcuteRNA, Circular3' Untranslated RegionsGene Expression ProfilingHumansRNA, Messenger3' Untranslated RegionsRNA, CircularRNA, Messenger3′untranslated region3′UTR splicingalternative polyadenylationcircular RNAsingle nucleotide polymorphism

Identifiers

PMID36834627
PMCPMC9967498
OpenAlexW4319442271

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.