Evidence map›Paper›PMID 35408829›Full record

ArticleInternational journal of molecular sciences2022

MicroRNAs in Leukemias: A Clinically Annotated Compendium.

Aleksander Turk, George A Calin, Tanja Kunej

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 14% 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, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. MircoRNAs predict and modulate responses to chemotherapy in leukemic patients.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. MiRNAs in Hematopoiesis and Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2023
    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

3 authors at 2 institutions in 2 countries.

Aleksander TurkDepartment of Animal Science, Biotechnical Faculty, University of Ljubljana, 1230 Domžale, Slovenia.
George A CalinDepartment of Translational Molecular Pathology, Division of Pathology, MD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.
Tanja KunejDepartment of Animal Science, Biotechnical Faculty, University of Ljubljana, 1230 Domžale, Slovenia.ORCID 0000-0002-0465-1762
University of Ljubljana · SIThe University of Texas MD Anderson Cancer Center · US

Funding

Slovenian Research Agency P4-0220
6 · The paper itself

Abstract

Leukemias are a group of malignancies of the blood and bone marrow. Multiple types of leukemia are known, however reliable treatments have not been developed for most leukemia types. Furthermore, even relatively reliable treatments can result in relapses. MicroRNAs (miRNAs) are a class of short, noncoding RNAs responsible for epigenetic regulation of gene expression and have been proposed as a source of potential novel therapeutic targets for leukemias. In order to identify central miRNAs for leukemia, we conducted data synthesis using two databases: miRTarBase and DISNOR. A total of 137 unique miRNAs associated with 16 types of leukemia were retrieved from miRTarBase and 86 protein-coding genes associated with leukemia were retrieved from the DISNOR database. Based on these data, we formed a visual network of 248 miRNA-target interactions (MTI) between leukemia-associated genes and miRNAs associated with ≥4 leukemia types. We then manually reviewed the literature describing these 248 MTIs for interactions identified in leukemia studies. This manually curated data was then used to visualize a network of 64 MTIs identified in leukemia patients, cell lines and animal models. We also formed a visual network of miRNA-leukemia associations. Finally, we compiled leukemia clinical trials from the ClinicalTrials database. miRNAs with the highest number of MTIs were miR-125b-5p, miR-155-5p, miR-181a-5p and miR-19a-3p, while target genes with the highest number of MTIs were

Indexed as

LeukemiaMicroRNAsAnimalsEpigenesis, GeneticGene Expression ProfilingHumansMicroRNAsinteraction networkleukemiamicroRNA (miRNA)miRNA-target interaction (MTI)

Identifiers

PMID35408829
PMCPMC8998245
OpenAlexW4223513225

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.